Macrophage efferocytosis mediated by the TP63-RAC2 pathway promotes immunosuppressive remodeling in esophageal cancer
Open accessAbstract
This study explores the role of efferocytosis in esophageal squamous cell carcinoma (ESCC) using single-cell RNA sequencing and in vitro/in vivo assays. Analyzing 27 samples from 9 patients with ESCC, we identify diverse cell types and significant heterogeneity in the tumor microenvironment, with a focus on efferocytosis. Our findings highlight that macrophages engulf apoptotic tumor cells, thereby impairing immune responses and promoting tumor progression. Notably, TP63 and RAC2 emerge as key regulators of this process, influencing efferocytosis and immune modulation. Functional assays demonstrate that disrupting these pathways alters macrophage efferocytosis and impacts tumor growth in vivo. These results suggest that targeting efferocytosis pathways offers potential therapeutic strategies for ESCC, enhancing antitumor immunity and improving patient outcomes. The study underscores the complex interactions between tumor cells and the immune system, with efferocytosis representing a promising therapeutic target.
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Written from the paper’s full text.
TL;DR
Single-cell RNA sequencing of esophageal squamous cell carcinoma (ESCC) identifies a tumor-associated macrophage subtype, C1 FN1+ macrophages, with high efferocytosis activity and immunosuppressive features. The transcription factor TP63 promotes macrophage efferocytosis and M2 polarization by directly regulating RAC2, and disrupting this axis alters tumor growth in vivo.
Key findings
- In 27 samples from 9 patients with ESCC, scRNA-seq retained 121,038 high-quality cells, identified 36 clusters and 9 cell types, and resolved 7 TAM subtypes; C1 FN1+ macrophages showed the highest efferocytosis activity, the lowest differentiation/stemness by CytoTRACE, and a transitional M1/M2 phenotype.
- TP63 and KLF5 were among the top regulators of C1 FN1+ macrophages; TP63 knockdown reduced macrophage engulfment of CMFDA-labeled apoptotic EC9706 and HYSE180 cells in vitro, and TP63 was shown to bind the RAC2 promoter at binding sites 2/3 by luciferase and ChIP assays.
- TP63 depletion reduced M2 macrophages (F4/80+CD163+), increased M1 macrophages (F4/80+CD86+), decreased IL-10 and TGF-β, and increased TNF-α after co-culture with apoptotic cells; RAC2 overexpression reversed these changes.
- In vivo, shTP63 impaired peritoneal and thymic efferocytosis and shifted macrophages toward M1, while RAC2 overexpression rescued efferocytosis and M2 polarization; in a humanized mouse model, TP63 knockdown suppressed tumor growth, and RAC2 overexpression reversed this effect.
Methods
- scRNA-seq was performed on 27 surgically resected specimens from 9 untreated ESCC patients (9 tumor tissues and 18 paired lymph nodes); public data from GEO accession GSE196756 were also analyzed. Processing used CellRanger, Seurat, DoubletFinder, Harmony, inferCNV, CytoTRACE, Slingshot, and SCENIC.
- In vitro assays used human primary macrophages, THP-1-derived macrophages, mouse BMDMs, and RAW264.7 cells, co-cultured with apoptotic ESCC cells (EC9706, KYSE180, AKR) labeled with CMFDA; readouts included confocal microscopy, flow cytometry, western blotting, qPCR, luciferase reporter assays, ChIP, and ELISA.
- In vivo work used BALB/c mice for peritoneal and dexamethasone-induced thymic efferocytosis assays and NOG mice engrafted with human PBMCs and EC9706 cells; mIHC was performed on clinical samples. Statistical significance was assessed with Student’s t test or one-way ANOVA, with p < 0.05.
Limitations
- The paper states that the small sample size (nine patients) may limit generalizability; that the exact mechanistic interactions between TP63, RAC2, and other immune regulators remain unclear; that the focus on macrophage-mediated efferocytosis should be expanded to other immune cells such as T cells and fibroblasts; and that clinical translation requires deeper exploration of molecular mechanisms, delivery strategies, and long-term effects on tumor immunity.
- The discussion also notes that RAC2 overexpression did not completely restore efferocytosis activity to control levels, suggesting additional factors may regulate this pathway.
- The future-directions section mentions addressing potential gender bias in the study, which the text makes evident as a stated concern.
Model-written summary. Check it against the paper before relying on it.
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Cites
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Claims the paper makes
24 of 25 cited sources checked · 11 supported · 1 flagged · accuracy not yet measured
- Premisecitation
In the tumor microenvironment, efferocytosis promotes an immunosuppressive environment by polarizing tumor-associated macrophages toward a tumor-promoting M2 phenotype.
“While it helps clear apoptotic tumor cells, it also promotes an immunosuppressive environment by polarizing tumor-associated macrophages (TAMs) toward a tumor-promoting M2 phenotype.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [7] Manoharan, 2018, A Computational Approach Identifies Immunogenic Features of Prognosis in Human Cancers, Front. Immunol. source
The Results section, “CD8+ T Cell-Dependent Long-Term Survival Benefit in Human Cancers” (page unavailable), describes a tumor microenvironment infiltrated by M2-type macrophages as immunosuppressive. But our copy does not say that efferocytosis clears apoptotic tumor cells or causes macrophages to polarize toward M2; searches for efferocytosis, apoptotic-cell clearance, and M2 polarization did not establish that mechanism. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [8] Sun, 2022, An effective therapeutic regime for treatment of glioma using oncolytic vaccinia virus expressing IL-21 in combination with immune checkpoint inhibition, Mol. Ther. Oncolytics source
The Discussion (page unavailable) describes glioma’s suppressive immune microenvironment and tumor-promoting macrophages, and notes the tumor-promoting properties of M2 macrophages. It does not say that efferocytosis or clearance of apoptotic tumor cells polarizes TAMs toward M2; searches for those processes found no supporting passage. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [9] Ambade, 2016, Adult mouse model of early hepatocellular carcinoma promoted by alcoholic liver disease, World J. Gastroenterol. source
The discussion of TAMs (section labeled “ROS Steatosis Proliferation Inflammation”; page unavailable) describes them as M2-skewed and says they can suppress adaptive immunity and promote tumors. The paper does not say that efferocytosis clears apoptotic tumor cells or causes TAMs to polarize toward M2; its experimental results instead report mixed M1/M2 markers in the liver. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisecitation
After engulfing apoptotic cells, macrophages secrete anti-inflammatory cytokines such as IL-10 and TGF-β to suppress immune responses.
“After engulfing ACs, macrophages secrete a range of anti-inflammatory cytokines, such as IL-10 and TGF-β, to suppress immune responses.24,25”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [24] Gronski, 2009, An essential role for calcium flux in phagocytes for apoptotic cell engulfment and the anti-inflammatory response, Cell Death Differ. source
The Results (page unavailable) report that macrophages exposed to apoptotic cells secrete TGF-β, and the Introduction links this response to immunological tolerance. The paper does not identify IL-10 as one of the secreted cytokines. It also finds that recognition of apoptotic cells can induce TGF-β without physical engulfment, so engulfment is not required for the response described. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [25] Kim, 2015, Taurine Chloramine Stimulates Efferocytosis Through Upregulation of Nrf2-Mediated Heme Oxygenase-1 Expression in Murine Macrophages: Possible Involvement of Carbon Monoxide, Antioxid. Redox Signal. source
- Findingown data
Genes associated with efferocytosis in the C1 FN1+ subtype, including ABCG1, AXL, and TGM2, regulate apoptosis and lipid metabolism.
“Genes associated with efferocytosis in the C1 FN1+ subtype, including ABCG1, AXL, and TGM2, were found to regulate apoptosis and lipid metabolism”
Quote in the paperNot a substantial claim - Findingown data
TAMs were divided into seven distinct subtypes: C0 TREM2+, C1 FN1+, C2 CD14+, C3 LGALS2+, C4 TNFAIP3+, C5 CHCHD6+, and C6 VCAM1+ macrophages.
“TAMs were divided into seven distinct subtypes: C0 TREM2+ macrophages, C1 FN1+ macrophages, C2 CD14+ macrophages, C3 LGALS2+ macrophages, C4 TNFAIP3+ macrophages, C5 CHCHD6+ macrophages, and C6 VCAM1+ macrophages”
Quote in the paperSubstantial claim - Findingown data
Different TAM subtypes had different characteristic gene expression patterns.
“Different TAM subtypes had different characteristic gene expression patterns”
Quote in the paperNot a substantial claim
- Findingown data
The 36 cell clusters were identified as nine distinct cell types: B cells and plasma cells, endothelial cells, epithelial cells, fibroblasts, mast cells, myeloid cells, NK cells, plasmacytoid DCs, and T cells.
“These cell types include B cells and plasma cells (IGHG1+), endothelial cells (GNG11+), epithelial cells (KRT14+), fibroblasts (COL1A2+), mast cells (TPSAB1+), myeloid cells (LYZ+), natural killer (NK) cells (NKG7+), plasmacytoid dendritic cells (DCs) (GZMB+), and T cells (CD3D+).”
Quote in the paperNot a substantial claim - Findingown data
DNA replication and mitosis pathways were enriched in C2 EZH2+ tumor cells and C3 CENPF+ tumor cells.
“Differential gene and enrichment analysis of different tumor cell subtypes showed that in C2 EZH2+ tumor cells and C3 CENPF+ tumor cells, DNA replication and mitosis pathways were enriched”
Quote in the paperNot a substantial claim - Findingown data
Tumor cells were categorized into six distinct subtypes.
“Tumor cells were categorized into six distinct subtypes”
Quote in the paperNot a substantial claim - Findingown data
Two tumor cell subtypes with active proliferation in ESCC were identified: C2 EZH2+ tumor cells and C3 CENPF+ tumor cells.
“In summary, we identified two tumor cell subtypes with active proliferation in ESCC: C2 EZH2+ tumor cells and C3 CENPF+ tumor cells.”
Quote in the paperNot a substantial claim - Findingown data
C1 FN1+ macrophages were at an early stage of cellular differentiation in two differentiation trajectories of TAM subtypes.
“C1 FN1+ macrophages were at an early stage of cellular differentiation in two differentiation trajectories of TAM subtypes”
Quote in the paperNot a substantial claim - Findingown data
There are several TAM subtypes with immune effects in ESCC.
“It can be concluded that there are several TAM subtypes with immune effects in ESCC”
Quote in the paperNot a substantial claim - Findingown data
TAM differentiation trajectories started at C1 FN1+ macrophages in different tissue sources and cell cycles.
“Slingshot results showed that TAM differentiation trajectories started at C1 FN1+ macrophages in different tissue sources and cell cycles”
Quote in the paperNot a substantial claim - Findingown data
The expression of marker genes was consistent with the distribution of their corresponding TAM subtypes in sample grouping and cell phases.
“The expression of these marker genes was consistent with the distribution of their corresponding TAM subtypes in sample grouping and cell phases.”
Quote in the paperNot a substantial claim - Findingown data
In the second differentiation trajectory, the C1 FN1+ macrophage subtype displayed predominant enrichment in immune-related pathways, including leukocyte, immune, and lymphocyte pathways.
“in the second differentiation trajectory, the C1 FN1+ macrophage subtype displayed predominant enrichment in immune-related pathways, including “leukocyte,” “immune,” and “lymphocyte” pathways”
Quote in the paperNot a substantial claim - Findingown data
Even in the same patient, there was high heterogeneity in the distribution of cells between different sites.
“Even in the same patient, there was still high heterogeneity in the distribution of cells between different sites.”
Quote in the paperNot a substantial claim - Findingown data
C0 TREM2+ macrophages originated predominantly from LN samples in G1 and S phases.
“C0 TREM2+ macrophages originated predominantly from LN samples in G1 and S phases.”
Quote in the paperNot a substantial claim - Findingown data
In the first differentiation track, the C1 FN1+ macrophage subtype exhibited enrichment in pathways associated with peptidase, endopeptidase, and activity.
“in the first differentiation track, the C1 FN1+ macrophage subtype exhibited enrichment in pathways associated with “peptidase,” “endopeptidase,” and “activity.””
Quote in the paperNot a substantial claim - Findingreasoning
Slingshot analysis revealed that C2 EZH2+ tumor cells and C3 CENPF+ tumor cells resided at the terminal point of the differentiation trajectory.
“subsequent slingshot analysis revealed that the C2 EZH2+ tumor cells and C3 CENPF+ tumor cells resided at the terminal point of the differentiation trajectory”
Quote in the paperNot a substantial claim - Findingown data
Among TAM subtypes, C1 FN1+ macrophages showed the highest efferocytosis activity.
“Among TAM subtypes, C1 FN1+ macrophages showed the highest efferocytosis activity”
Quote in the paperSubstantial claim - Findingown data
Treatment with bavituximab, a PS-targeting monoclonal antibody, reduced efferocytosis in human primary macrophages co-cultured with apoptotic ESCC cells, as evidenced by decreased CMFDA+ cells.
“Confocal microscopy and flow cytometry confirmed that treatment with bavituximab, a PS-targeting monoclonal antibody, reduced efferocytosis, as evidenced by decreased CMFDA+ (CellTracker Green CMFDA, 492/517 nm) cells”
Quote in the paperSubstantial claim - Findingown data
Efferocytosis activity was notably higher in tumor tissues than in normal tissues.
“Further analysis of scRNA-seq data revealed that efferocytosis activity was notably higher in tumor tissues than in normal tissues”
Quote in the paperSubstantial claim - Findingown data
TAM subtypes show obvious distribution heterogeneity in ESCC samples.
“TAM subtypes show obvious distribution heterogeneity in ESCC samples.”
Quote in the paperNot a substantial claim - Findingown data
TAMs within primary tumor tissues exhibited significantly higher efferocytosis activity compared to those from LNs.
“TAMs within primary tumor tissues exhibited significantly higher efferocytosis activity compared to those from LNs”
Quote in the paperSubstantial claim - Findingown data
C1 FN1+ macrophages were predominantly observed in tumor tissues undergoing active proliferation, primarily in the G2M and S phases.
“C1 FN1+ macrophages were predominantly observed in tumor tissues undergoing active proliferation, primarily in the G2M and S phases.”
Quote in the paperNot a substantial claim - Findingown data
TP63 knockdown significantly suppressed tumor growth in a humanized mouse model using EC9706 cells.
“TP63 knockdown significantly suppressed tumor growth, highlighting its role in regulating tumor progression.”
Quote in the paperSubstantial claim - Findingown data
RAC2 overexpression reversed the changes in IL-10, TGF-β, and TNF-α levels in TP63-depleted macrophages.
“which was reversed by RAC2 overexpression (Figures 6J and 6K).”
Quote in the paperSubstantial claim - Findingown data
Correlation analysis showed a strong association between TAM subtypes from different sample groups, including C2 CD14+, C1 FN1+, C3 LGALS2+, and C4 TNFAIP3+ macrophages.
“Further correlation analysis showed a strong association between TAM subtypes from different sample groups, including C2 CD14+ macrophages, C1 FN1+ macrophages, C3 LGALS2+ macrophages, and C4 TNFAIP3+ macrophages”
Quote in the paperNot a substantial claim - Findingown data
TP63 has a potential binding site in the upstream promoter region (−1,405 to +20 bp) of RAC2.
“we predicted the potential binding site of TP63 in the upstream promoter region (−1,405 to +20 bp) of RAC2”
Quote in the paperSubstantial claim - Findingown data
RAC2 overexpression does not completely restore efferocytosis activity to control levels.
“Statistical analysis confirmed that RAC2 overexpression does not completely restore efferocytosis activity to control levels”
Quote in the paperNot a substantial claim - Findingown data
TP63 knockdown shifted macrophage polarization toward the M1 phenotype.
“and shifted macrophage polarization toward the M1 phenotype”
Quote in the paperSubstantial claim - Findingown data
The M1 submodule was the primary regulator for C1 FN1+ macrophage and other TAM subtypes, as well as their grouping.
“Notably, the M1 submodule was the primary regulator for C1 FN1+ macrophage and other TAM subtypes, as well as their grouping”
Quote in the paperNot a substantial claim - Findingown data
TAMs exhibit enhanced immunosuppressive characteristics after engulfing apoptotic cells in ESCC.
“The scRNA-seq results revealed that TAMs exhibit enhanced immunosuppressive characteristics after engulfing ACs”
Quote in the paperSubstantial claim - Findingown data
In vivo efferocytosis of fluorescent apoptotic cells by peritoneal macrophages was impaired following shTP63 treatment.
“In vivo efferocytosis of fluorescent ACs by peritoneal macrophages was impaired following shTP63 treatment”
Quote in the paperSubstantial claim - Findingown data
RAC2 overexpression in macrophages significantly recovered the TP63-suppressed engulfment of apoptotic cells.
“RAC2 overexpression in macrophages significantly recovered the TP63-suppressed engulfment of ACs (Figures 6B–6E).”
Quote in the paperSubstantial claim - Findingown data
Among representative genes verified in TP63-depleted macrophages, RAC2 level was the most obviously changed.
“We further verified the alteration of representative genes in TP63-depleted macrophages, among which the RAC2 level was the most obviously changed”
Quote in the paperSubstantial claim - Findingown data
TP63-depleted macrophages exhibited downregulated production of IL-10 and TGF-β (M2-type biomarkers) compared with control cells.
“The TP63-depleted macrophages exhibited downregulated production of interleukin (IL)-10 and transforming growth factor β (TGF-β) (M2-type biomarker)”
Quote in the paperSubstantial claim - Findingown data
TP63 knockdown decreased efferocytosis in vivo.
“Further analysis showed that TP63 knockdown decreased efferocytosis in vivo (Figure S17D)”
Quote in the paperSubstantial claim - Findingown data
RAC2 overexpression reversed the TP63 knockdown-induced reduction in M2 macrophages and increase in M1 macrophages following co-culture with apoptotic cells.
“whereas overexpression of RAC2 reversed these phenotypic changes.”
Quote in the paperSubstantial claim - Findingown data
RAC2 overexpression reversed the decreased M2 and increased M1 polarization in shTP63-treated macrophages.
“which was reversed by RAC2 overexpression (Figures 7C and 7D).”
Quote in the paperSubstantial claim - Findingown data
Overexpression of RAC2 restored RAC2 expression in TP63-deleted primary macrophages.
“overexpression of RAC2 resulted in the recovery of RAC2 expression in TP63-deleted macrophages.”
Quote in the paperSubstantial claim - Findingown data
Decreased efferocytosis of apoptotic thymocytes in the shTP63 group was reversed by RAC2 overexpression.
“decreased efferocytosis of apoptotic thymocytes in the shTP63 group was reversed by RAC2 overexpression (Figure S16B).”
Quote in the paperSubstantial claim - Findingown data
RAC2 overexpression recovered in vivo efferocytosis levels in shTP63-treated mice.
“but RAC2 overexpression recovered efferocytosis levels (Figure 7B).”
Quote in the paperSubstantial claim - Findingown data
Among the top five key regulators for C1 FN1+ macrophages (KLF5, ETV6, TP63, RUNX3, and ETV7), TP63 and KLF5 showed the highest significance in distinguishing TAM subtypes and groups.
“Among the top five key regulators for C1 FN1+ macrophages (KLF5, ETV6, TP63, RUNX3, and ETV7), TP63 and KLF5 showed the highest significance in distinguishing TAM subtypes and groups”
Quote in the paperSubstantial claim - Findingown data
In vitro, TP63 knockdown significantly reduces macrophage efferocytosis.
“In vitro experiments demonstrated that TP63 knockdown significantly reduces macrophage efferocytosis”
Quote in the paperSubstantial claim - Findingown data
TP63 knockdown significantly increased the population of M1 macrophages (F4/80+CD86+) following co-culture with apoptotic cells.
“increased the population of M1 macrophages (F4/80+CD86+ cells) (Figures 6H and 6I) following co-culture with ACs”
Quote in the paperSubstantial claim - Findingown data
DEGs between wild-type and TP63-depleted human primary macrophages after co-culture with apoptotic EC9706 cells were mainly enriched in mitochondrial structure and function, ribosome subunit, cell cycle, and thermogenesis.
“The DEGs were mainly enriched in terms correlated with mitochondrial structure and function, ribosome subunit, cell cycle, and thermogenesis”
Quote in the paperNot a substantial claim - Findingown data
RAC2 overexpression reversed the TP63 knockdown-induced suppression of tumor growth.
“However, RAC2 overexpression reversed these effects, suggesting RAC2’s critical role in tumor growth regulation (Figures S17A–S17C).”
Quote in the paperSubstantial claim - Findingown data
siTP63 downregulated RAC2 mRNA and protein levels in human primary macrophages, BMDMs, THP-1 cells, and RAW264.7 cells.
“we confirmed the downregulation of RAC2 mRNA and protein levels by siTP63 in multiple macrophages, including human primary macrophages, bone-marrow-derived macrophages (BMDMs), THP-1 cells, and RAW264.7 cells, respectively”
Quote in the paperSubstantial claim - Findingown data
Knockdown of TP63 markedly downregulated the luciferase activity of P6 and P2 in human primary macrophages and THP-1 cells.
“we observed that the knockdown of TP63 markedly downregulated the luciferase activity of P6 and P2 in human primary macrophages (Figures S14J and S14K) and THP-1 cells (Figures S14L and S14M)”
Quote in the paperSubstantial claim - Findingown data
In clinical samples, efferocytosis of TP63+ and RAC2+ macrophages was enhanced in positive LN samples compared to negative LN samples by mIHC and image analysis.
“In clinical samples, we observed that the efferocytosis of TP63+ and RAC2+ macrophages was enhanced in positive LN samples compared to negative LN samples by multiplex immunohistochemistry (mIHC) assay and image analysis”
Quote in the paperSubstantial claim - Findingown data
RAC2 knockdown impaired efferocytosis in both EC9706 and KYSE180 cells.
“RAC2 knockdown impaired efferocytosis in both EC9706 and KYSE180 cells, as confirmed by confocal microscopy and flow cytometry (Figure S18)”
Quote in the paperSubstantial claim - Findingown data
Overexpression of RAC2 rescued RAC2 levels in macrophages in the thymus efferocytosis assay.
“Overexpression of RAC2 rescued RAC2 levels in macrophages (Figure S16A)”
Quote in the paperSubstantial claim - Findingown data
TP63 knockdown significantly reduced the population of M2 macrophages (F4/80+CD163+) following co-culture with apoptotic cells.
“TP63 knockdown significantly reduced the population of M2 macrophages (F4/80+CD163+ cells) (Figures 6F and 6G)”
Quote in the paperSubstantial claim - Findingown data
The AUC for TP63 and KLF5 was more prominent in these subtypes.
“Further analysis confirmed that the area under the curve (AUC) for TP63 and KLF5 was more prominent in these subtypes”
Quote in the paperNot a substantial claim - Findingown data
TP63-depleted macrophages exhibited upregulated level of TNF-α (M1-type biomarker) compared with control cells.
“upregulated the level of tumor necrosis factor alpha (TNF-α) (M1-type biomarker) compared with the control cells”
Quote in the paperSubstantial claim - Findingown data
Key regulatory submodules for TAM subtypes M1, M2, M3, and M4 were identified using the connection specificity index, highlighting the collaboration of transcription factors in gene regulation.
“We identified key regulatory submodules for TAM subtypes M1, M2, M3, and M4 using the connection specificity index (CSI), highlighting the collaboration of transcription factors in gene regulation”
Quote in the paperNot a substantial claim - Interpretationown data
The enrichment of DNA replication and mitosis pathways explains the high proliferative characteristics of C2 EZH2+ tumor cells and C3 CENPF+ tumor cells.
“This explains the high proliferative characteristics of C2 EZH2+ tumor cells and C3 CENPF+ tumor cells.”
Quote in the paperNot a substantial claim - Interpretationown data
TAM efferocytosis may be linked to lipid processing.
“supporting the notion that TAM efferocytosis may be linked to lipid processing”
Quote in the paperNot a substantial claim - Interpretationown data
There is a link between heightened efferocytosis and an immunosuppressive TME.
“indicating a link between heightened efferocytosis and an immunosuppressive TME”
Quote in the paperSubstantial claim - Interpretationown data
TP63 and RAC2 are key regulators of macrophage efferocytosis and immune modulation in ESCC.
“Notably, TP63 and RAC2 emerge as key regulators of this process, influencing efferocytosis and immune modulation.”
Quote in the paperSubstantial claim - Interpretationown data
The high stemness of C1 FN1+ macrophages may be related to immune-related genes FCGR3A, C1QC, GAPDH, and TGFBI, which were positively correlated with cell stemness in CytoTRACE.
“This may be related to the immune-related genes FCGR3A, C1QC, GAPDH, and TGFBI, which were positively correlated with cell stemness in CytoTRACE”
Quote in the paperNot a substantial claim - Interpretationown data
Tumor tissues may possess a more active immunosuppressive microenvironment than metastatic tissues.
“indicating that tumor tissues may possess a more active immunosuppressive microenvironment than metastatic tissues”
Quote in the paperNot a substantial claim - Interpretationreasoning
TP63 and RAC2 are potential therapeutic targets.
“These results suggested that TP63 and RAC2 are potential therapeutic targets.”
Quote in the paperNot a substantial claim- Rests on an assumption: M1 macrophage polarization is pro-inflammatory and antitumor.
- Rests on an assumption: Current treatment strategies for ESCC have limited efficacy, particularly in advanced-stage patients.
- Interpretationown data
Efferocytosis, modulated by the TP63-RAC2 axis, influences the proliferative and metastatic behavior of ESCC cells by shaping the tumor microenvironment.
“These findings suggest that efferocytosis, modulated by the TP63-RAC2 axis, influences the proliferative and metastatic behavior of ESCC cells by shaping the TME.”
Quote in the paperSubstantial claim- Rests on an assumption: M1 macrophage polarization is pro-inflammatory and antitumor.
- Interpretationreasoning
Modulation of TP63 and RAC2 can alter TAM functions, thereby enhancing antitumor immunity.
“Modulation of these molecules can alter TAM functions, thereby enhancing antitumor immunity.”
Quote in the paperSubstantial claim- Rests on an assumption: M1 macrophage polarization is pro-inflammatory and antitumor.
- Interpretationown data
Knockdown of TP63 repressed the efferocytosis ability of macrophages.
“These data indicate that the knockdown of TP63 repressed the efferocytosis ability of macrophages.”
Quote in the paperSubstantial claim - Interpretationreasoning
Targeting efferocytosis and its regulatory pathways, such as TP63/RAC2 signaling, holds therapeutic potential for ESCC treatment.
“Targeting efferocytosis and its regulatory pathways, such as TP63/RAC2 signaling, holds therapeutic potential for ESCC treatment.”
Quote in the paperNot a substantial claim- Rests on an assumption: M1 macrophage polarization is pro-inflammatory and antitumor.
- Rests on an assumption: Current treatment strategies for ESCC have limited efficacy, particularly in advanced-stage patients.
- Interpretationown data
TP63-dependent efferocytosis in vitro modulates M2 polarization of macrophages by regulating RAC2.
“These data indicate that TP63-dependent efferocytosis in vitro modulates M2 polarization of macrophages by regulating RAC2.”
Quote in the paperSubstantial claim - Interpretationown data
Regulon activity plays a crucial role in TAM subtype classification.
“This suggests that regulon activity plays a crucial role in TAM subtype classification.”
Quote in the paperSubstantial claim - Interpretationown data
TP63 influences macrophage efferocytosis capacity by regulating the expression of RAC2.
“TP63, a transcription factor, influences macrophage efferocytosis capacity by regulating the expression of RAC2.”
Quote in the paperSubstantial claim - Interpretationown data
TP63/RAC2 signaling regulates in vivo efferocytosis by macrophages.
“These results confirm that TP63/RAC2 signaling regulates in vivo efferocytosis by macrophages.”
Quote in the paperSubstantial claim - Interpretationown data
Additional factors may contribute to the regulation of the TP63/RAC2 efferocytosis pathway.
“suggesting that additional factors may contribute to the regulation of this pathway.”
Quote in the paperNot a substantial claim - Interpretationown data
TP63 interacts with RAC2 to promote its transcription and expression.
“These data suggested that TP63 interacts with RAC2 to promote its transfection and expression.”
Quote in the paperSubstantial claim - Interpretationown data
Efferocytosis plays a pivotal role in the proliferative and metastatic behavior of ESCC cells, primarily through its effects on macrophage polarization and the tumor microenvironment.
“Our findings provide compelling evidence that efferocytosis plays a pivotal role in the proliferative and metastatic behavior of ESCC cells, primarily through its effects on macrophage polarization and the TME.”
Quote in the paperSubstantial claim- Rests on an assumption: M1 macrophage polarization is pro-inflammatory and antitumor.
- Interpretationown data
TP63 potentially interacts with the RAC2 promoter at binding sites 2/3.
“These results indicate that TP63 potentially interacts with the RAC2 promoter at binding sites 2/3.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 28
- May combine two claims. 40
- The quote only partly states this claim. 2
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn breast and lung cancers, efferocytosis is associated with tumor immune evasion and progression.
“For instance, in breast33 and lung34 cancers, efferocytosis is associated with tumor immune evasion and progression.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [33] Liang, 2022, Phosphatidylserine released from apoptotic cells in tumor induces M2-like macrophage polarization through the PSR-STAT3-JMJD3 axis, Cancer Commun. source
Citation 34 is attached to lung cancer, while citation 33 is attached to breast cancer. The Results report that apoptotic cells correlate with tumor-associated macrophages in human lung tumors, and the Discussion links M2-like macrophages generally to immune escape and tumor progression. The paper does not establish that efferocytosis itself is associated with immune evasion or progression specifically in lung cancer. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [34] Kim, 2022, Reprogramming of cancer-associated fibroblasts by apoptotic cancer cells inhibits lung metastasis via Notch1-WISP-1 signaling, Cell. Mol. Immunol. source
Citation 34 is attached to the lung-cancer portion of the sentence, not the breast-cancer portion. Although the Introduction says phagocyte-mediated clearance can be immunosuppressive in the tumor microenvironment, it also says tumor cells may evade surveillance by avoiding efferocytosis. The Discussion reports the opposite of the claimed progression association in this lung-cancer study: interaction with apoptotic cancer cells reprogrammed phagocytic fibroblasts and inhibited cancer-cell migration and invasion. The supplied copy gives section labels but no page numbers. (LLM, conf=0.85)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe M2-like TAM phenotype supports tumor growth, angiogenesis, and immune evasion.
“This phenotype supports tumor growth, angiogenesis, and immune evasion, creating a formidable barrier to effective antitumor immunity.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [7] Manoharan, 2018, A Computational Approach Identifies Immunogenic Features of Prognosis in Human Cancers, Front. Immunol. source
The Results section, “CD8+ T Cell-Dependent Long-Term Survival Benefit in Human Cancers” (page unavailable), describes a microenvironment infiltrated by M2-type macrophages as immune suppressive and predictive of poor survival. This supports the immune-evasion aspect, but the paper does not specifically say that M2-like macrophages support tumor growth or angiogenesis. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [8] Sun, 2022, An effective therapeutic regime for treatment of glioma using oncolytic vaccinia virus expressing IL-21 in combination with immune checkpoint inhibition, Mol. Ther. Oncolytics source
- cites [9] Ambade, 2016, Adult mouse model of early hepatocellular carcinoma promoted by alcoholic liver disease, World J. Gastroenterol. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationProteases have been shown to affect the efferocytosis effect of TAMs.
“These proteases have been shown to affect the efferocytosis effect of TAMs.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [17] Block, 1986, Identification of pancreas necrosis in severe acute pancreatitis: imaging procedures versus clinical staging, Gut source
The contrast-enhanced computed tomography results and Discussion assess imaging and clinical staging of pancreatic necrosis. Searches for proteases, efferocytosis, TAMs, and macrophage clearance found no passage in our copy addressing whether proteases affect TAM efferocytosis. The cited paper therefore does not verify the attributed claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationImpaired efferocytosis reduces TAM recognition and engulfment of tumor cells, compromising immune surveillance and contributing to resistance to antitumor therapies.
“Impaired efferocytosis reduces TAM recognition and engulfment of tumor cells, compromising immune surveillance and contributing to resistance to antitumor therapies.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [15] Wei, 2022, Thymosin α-1 Reverses M2 Polarization of Tumor-Associated Macrophages during Efferocytosis, Cancer Res. source
The Introduction identifies efferocytosis as the removal of apoptotic tumor cells by phagocytes, including TAMs, and says directly impairing it can cause secondary necrosis and drive tumor progression. It does not say impaired efferocytosis compromises immune surveillance or causes resistance to antitumor therapies; instead, it describes chemotherapy-induced efferocytosis as promoting an immunosuppressive TAM phenotype. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious research suggests a role for lipid metabolism in TAM-mediated efferocytosis.
“This aligns with previous research suggesting a role for lipid metabolism in TAM-mediated efferocytosis.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [16] Gerlach, 2021, Efferocytosis induces macrophage proliferation to help resolve tissue injury, Cell Metab. source
The Introduction and Discussion describe lipids from apoptotic cells as contributors to pathways in efferocytosing macrophages. The copy does not establish that lipid metabolism has this role specifically in TAM-mediated efferocytosis; its MerTK results address macrophage proliferation and efferocytosis, not a lipid-metabolism link. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim. May combine two claims.
PremisecitationEfferocytosis plays a crucial role in maintaining tissue homeostasis and in modulating immune responses.
“Efferocytosis, the process by which macrophages engulf and remove apoptotic cells (ACs), plays a crucial role in maintaining tissue homeostasis and in modulating immune responses.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [5] Zhang, 2023, Nanoliposomal Bcl-xL proteolysis-targeting chimera enhances anti-cancer effects on cervical and breast cancer without on-target toxicities, Adv. Compos. Hybrid Mater. source
- cites [6] Wu, 2022, Recent advances of tanshinone in regulating autophagy for medicinal research, Front. Pharmacol. source
The cardiovascular-disease table mentions “repairing efferocytosis and M2 phenotype” in a tanshinone-treated atherosclerosis model, but does not explain efferocytosis’s role in tissue homeostasis or immune responses. Searches for macrophage clearance of apoptotic cells and immune regulation found no passage in our copy addressing the attributed claim. (LLM, conf=0.74)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim. May combine two claims.
PremisecitationWithin the tumor microenvironment, efferocytosis aids in clearing dead cells and modulates immune responses by secreting anti-inflammatory cytokines.
“Within the TME, efferocytosis aids in clearing dead cells and modulates immune responses by secreting anti-inflammatory cytokines.21”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [21] Zhu, 2016, Loss of Macrophage Low-Density Lipoprotein Receptor-Related Protein 1 Confers Resistance to the Antiatherogenic Effects of Tumor Necrosis Factor-α Inhibition, Arterioscler. Thromb. Vasc. Biol. source
The Introduction describes efferocytosis as the clearance of apoptotic cells, and the Results state that efficient efferocytosis promotes anti-inflammatory cytokine production. These passages concern atherosclerotic lesions, not the tumor microenvironment; our copy does not establish the claim in that setting. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim. May combine two claims.
PremisecitationEfferocytosis involves not only the physical engulfment of cells but also the regulation of the immune system.
“Efferocytosis involves not only the physical engulfment of cells22 but also the regulation of the immune system.23”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [22] Jiang, 2017, Inactivation of Rab11a GTPase in Macrophages Facilitates Phagocytosis of Apoptotic Neutrophils, J. Immunol. source
- cites [23] Yang, 2014, High molecular weight kininogen binds phosphatidylserine and opsonizes urokinase plasminogen activator receptor-mediated efferocytosis, J. Immunol. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCurrent treatment strategies for ESCC primarily include surgery, radiotherapy, and chemotherapy.
“Current treatment strategies for ESCC primarily include surgery, radiotherapy, and chemotherapy.27,28”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [27] Peng, 2017, Inhibition of glutathione metabolism attenuates esophageal cancer progression, Exp. Mol. Med. source
- cites [28] Mohlin, 2019, Anti-tumor effects of PIM/PI3K/mTOR triple kinase inhibitor IBL-302 in neuroblastoma, EMBO Mol. Med. source
The Introduction lists surgery, radiotherapy, and chemotherapy among current treatments for neuroblastoma. It does not address treatment strategies for ESCC, so the claim’s disease-specific attribution is unsupported. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEfferocytosis is a critical physiological process through which macrophages recognize and engulf apoptotic cells to maintain tissue homeostasis.
“Efferocytosis is a critical physiological process through which macrophages recognize and engulf ACs to maintain tissue homeostasis.18,19,20”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [18] Roy, 2018, Macrophage-Derived Neuropilin-2 Exhibits Novel Tumor-Promoting Functions, Cancer Res. source
- cites [19] Anandan, 2021, Cyclophilin A Impairs Efferocytosis and Accelerates Atherosclerosis by Overexpressing CD 47 and Down-Regulating Calreticulin, Cells source
- cites [20] Zheng, 2021, bfc, a novel serpent co-factor for the expression of croquemort, regulates efferocytosis in Drosophila melanogaster, PLoS Genet. source
May combine two claims.
PremisecitationThis immunosuppressive environment helps tumor cells evade immune surveillance and promotes tumor growth.
“This immunosuppressive environment helps tumor cells evade immune surveillance and promotes tumor growth.26”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [26] Ma, 2022, Visual Analysis of Colorectal Cancer Immunotherapy: A Bibliometric Analysis From 2012 to 2021, Front. Immunol. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEfferocytosis plays a significant role in other cancer types as well.
“Although this study focuses on ESCC, efferocytosis plays a significant role in other cancer types as well.32”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [32] Tajbakhsh, 2021, The complex roles of efferocytosis in cancer development, metastasis, and treatment, Biomed. Pharmacother. source
May combine two claims.
Findingown dataDisrupting the TP63/RAC2 pathways alters macrophage efferocytosis and impacts tumor growth in vivo.
“Functional assays demonstrate that disrupting these pathways alters macrophage efferocytosis and impacts tumor growth in vivo.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn GO-BP, C1 FN1+, C2 CD14+, and C4 TNFAIP3+ macrophages had higher leukocyte and immune scores.
“in GO-BP, C1 FN1+ macrophages, C2 CD14+ macrophages, and C4 TNFAIP3+ macrophages had higher “leukocyte” and “immune” scores”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataT cells predominantly originated from LN samples.
“T cells predominantly originated from LN samples”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataC1 FN1+, C2 CD14+, and C4 TNFAIP3+ macrophages exhibit shared biological effects and enrichment in immune-related pathways such as defense response, immune response, response to cytokine, and cellular response to cytokine stimulus.
“C1 FN1+ macrophages, C2 CD14+ macrophages, and C4 TNFAIP3+ macrophages exhibit shared biological effects and demonstrate enrichment in immune-related pathways such as “defense response,” “immune response,” “response to cytokine,” and “cellular response to cytokine stimulus””
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataC2 EZH2+ tumor cells and C3 CENPF+ tumor cells primarily originated from within tumor tissues and exhibited heightened proliferative activity.
“Notably, C2 EZH2+ tumor cells and C3 CENPF+ tumor cells primarily originated from within the tumor tissues and exhibited heightened proliferative activity”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataAfter quality control and cell filtration, 121,038 high-quality cells were retained.
“After quality control and cell filtration, 121,038 high-quality cells were finally retained”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe proportion of epithelial cells was highest in tumor tissues, followed by myeloid cells, and LNs had higher immune cell infiltration including B, plasma, and T cells.
“Among them, the proportion of epithelial cells was the highest in tumor tissues, followed by myeloid cells, and there was higher immune cell infiltration in LNs, including B, plasma, and T cells.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningAlthough C2 EZH2+ and C3 CENPF+ cells divide vigorously, they dominate at the end of the differentiation trajectory.
“although these cells divide vigorously, they dominate at the end of the differentiation trajectory.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataProliferating CD4+ T cells and CD4 TIGIT+ Treg cells were primarily derived from tumor tissues.
“Proliferating CD4+ T cells and CD4 TIGIT+ Treg cells were primarily derived from tumor tissues”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataCD4 TOP2A+ proliferating Treg cells exhibited the most elevated G2M value, whereas CD4 STMN1+ proliferating Treg cells displayed the highest S value.
“Among these, CD4 TOP2A+ proliferating Treg cells exhibited the most elevated G2M value, whereas CD4 STMN1+ proliferating Treg cells displayed the highest S value”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe scRNA-seq analysis identified 36 different cell clusters.
“we identified 36 different cell clusters”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataCell cycle scores indicated vigorous proliferation of CD8 ANXA2+ exhausted T cells.
“the cell cycle scores indicated vigorous proliferation of CD8 ANXA2+ exhausted T cells”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataC2 CD14+ macrophages and C4 TNFAIP3+ macrophages primarily originated from tumor tissues.
“C2 CD14+ macrophages and C4 TNFAIP3+ macrophages primarily originated from tumor tissues.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataBy integrating gene expression, regulon activity, and differentiation pathways, the study constructed a comprehensive map of TAM heterogeneity and identified TP63 and RAC2 as key molecular drivers regulating efferocytosis.
“By integrating gene expression, regulon activity, and differentiation pathways, we constructed a comprehensive map of TAM heterogeneity and identified key molecular drivers, including TP63 and RAC2, that regulate efferocytosis.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe C1 FN1+ macrophage population demonstrated the highest cellular stemness, indicating the lowest degree of differentiation, attenuated functionality, and heightened potential for differentiation.
“the C1 FN1+ macrophage population demonstrated the highest cellular stemness, indicating the lowest degree of differentiation, attenuated functionality, and heightened potential for differentiation”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSingle-cell RNA sequencing of 27 samples from 9 patients with ESCC identified diverse cell types and significant heterogeneity in the tumor microenvironment, with a focus on efferocytosis.
“Analyzing 27 samples from 9 patients with ESCC, we identify diverse cell types and significant heterogeneity in the tumor microenvironment, with a focus on efferocytosis.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe CD8+ T cell population comprised three subtypes of naive T cells, two subtypes of effector T cells, and three subtypes of depleted T cells.
“The CD8+ T cell population comprised three subtypes of naive T cells, two subtypes of effector T cells, and three subtypes of depleted T cells”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataC0 TREM2+ macrophages were closely associated with energy metabolism and enriched in pathways including cellular lipid metabolic process, small molecule metabolic process, aerobic respiration, and electron transport chain.
“These macrophages exhibited significant enrichment in pathways such as “cellular lipid metabolic process,” “small molecule metabolic process,” “ aerobic respiration,” and “electron transport chain.””
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataEpithelial cells exhibited the highest level of proliferative activity.
“Moreover, the epithelial cells exhibited the highest level of proliferative activity”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataC3 LGALS2+ macrophages and C6 VCAM1+ macrophages were predominantly derived from metastasis-associated LNs.
“C3 LGALS2+ macrophages and C6 VCAM1+ macrophages were predominantly derived from metastasis-associated LNs”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataCD4+ T cells were classified into nine discrete subtypes, including three naive, two actively proliferating, one effector, one Treg, and two Tfh types.
“CD4+ T cells can be further classified into nine discrete subtypes, encompassing three types of naive T cells, two types of actively proliferating T cells, one effector T cell type, one regulatory T (Treg) cell type, and two types of follicular helper T (Tfh) cells.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataEven when samples were taken from the same site, the main cell subtypes were not exactly the same among different patients.
“even if the samples were taken from the same site, the main cell subtypes were not exactly the same among different patients.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown datashTP63-treated macrophages exhibited a decreased M2 phenotype and increased M1 polarization in vivo.
“shTP63-treated macrophages exhibited a decreased M2 phenotype and increased M1 polarization”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThymic macrophages from shTP63-treated mice showed M1 polarization, and RAC2 overexpression restored M2 polarization.
“Thymic macrophages from shTP63-treated mice showed M1 polarization, and RAC2 overexpression restored M2 polarization (Figures S16C and S16D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHuman primary macrophages engulfed CMFDA-labeled EC9706 and HYSE180, whereas the ability of TP63-depleted macrophages to take up apoptotic cells was notably reduced.
“human primary macrophages engulfed CMFDA-labeled EC9706 and HYSE180, whereas the ability of TP63-depleted macrophages to take up ACs was notably reduced”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRAC2 overexpression restored efferocytosis levels and M2 polarization in vivo.
“RAC2 overexpression restored efferocytosis levels and M2 polarization (Figures S17D–S17F).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataChIP experiment showed that TP63 directly binds to the RAC2 gene, which is notably repressed by siTP63.
“The results from the chromatin immunoprecipitation (ChIP) experiment showed that TP63 directly binds to the RAC2 gene, which is notably repressed by siTP63”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRAC2 overexpression partially rescues the TP63 knockdown-induced reduction in efferocytosis and restores macrophage polarization toward the M2 phenotype.
“while RAC2 overexpression partially rescues this effect, restoring efferocytosis and macrophage polarization toward the M2 phenotype.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTreatment with shTP63 reduced RAC2 expression in mouse peritoneal macrophages, while RAC2 overexpression restored it.
“Treatment with shTP63 reduced RAC2 expression, while RAC2 overexpression restored it (Figure 7A).”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown datasiTP63-3 or siKLF5-3 induced the most significant reduction of TP63 or KLF5 in human primary macrophages, THP-1, mouse primary macrophages, and RAW264.7 cells.
“siTP63-3 or siKLF5-3 induced the most significant reduction of TP63 or KLF5 in human primary macrophages”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataA distinctive subtype of TAMs within tumors demonstrates pronounced proliferative characteristics, robust immunosuppressive functions, heightened efferocytosis activity, and significant differentiation potential.
“the above data indicate the identification of a distinctive subtype of TAMs within tumors. This subtype demonstrates pronounced proliferative characteristics, robust immunosuppressive functions, heightened efferocytosis activity, and a significant differentiation potential.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDimensionality reduction and cluster analysis of TAM subtypes based on gene expression and regulon activity revealed distinct subgroups, with significant differences in regulon activity among TAM subtypes but no variation between different cell phases.
“Dimensionality reduction and cluster analysis of TAM subtypes based on gene expression and regulon activity revealed distinct subgroups, with significant differences in regulon activity among TAM subtypes but no variation between different cell phases”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataA subtype of TAMs with vigorous division was found in the microenvironment of the primary tumor, which may be closely related to tumor immune imbalance.
“This suggests that a subtype of TAMs with vigorous division was found in the microenvironment of the primary tumor, which may be closely related to the tumor immune imbalance.”
Quote in the paperNot a substantial claim- Rests on an assumption: TAMs are the most abundant immune cells in the tumor microenvironment.
May combine two claims.
InterpretationreasoningC2 EZH2+ tumor cells and C3 CENPF+ tumor cells have decreased differentiation ability and a relatively restricted degree of diversification.
“suggesting a decreased differentiation ability and a relatively restricted degree of diversification”
Quote in the paperNot a substantial claim- Rests on an assumption: When tumor cells actively proliferate, their tissue differentiation ability gradually decreases.
May combine two claims.
Interpretationown dataThe primary tumor site has a stronger immunosuppressive environment, potentially making macrophage efferocytosis a promising therapeutic target for ESCC.
“This suggests a stronger immunosuppressive environment at the primary tumor site, potentially making macrophage efferocytosis a promising therapeutic target for ESCC.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataC1 FN1+ macrophages appeared to be in a transitional state between M1 and M2 phenotypes, influencing their immune function.
“C1 FN1+ macrophages appeared to be in a transitional state between M1 and M2 phenotypes, influencing their immune function”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataMacrophages engulf apoptotic tumor cells, thereby impairing immune responses and promoting tumor progression.
“Our findings highlight that macrophages engulf apoptotic tumor cells, thereby impairing immune responses and promoting tumor progression.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataThe vigorous proliferation of CD8 ANXA2+ exhausted T cells is potentially linked to their involvement in cellular metabolism.
“potentially linked to their involvement in cellular metabolism”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataC1 FN1+ macrophages had low differentiation and a high degree of malignancy, which may be related to the rapid progression of ESCC and poor prognosis.
“CytoTRACE and Slingshot analyses showed that C1 FN1+ macrophages had low differentiation and a high degree of malignancy, which may be related to the rapid progression of ESCC and poor prognosis.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThese TAMs play a crucial role in the TME and contribute to immune resistance.
“These TAMs play a crucial role in the TME and contribute to immune resistance.”
Quote in the paperSubstantial claim- Rests on an assumption: TAMs are the most abundant immune cells in the tumor microenvironment.
May combine two claims.
Interpretationnone givenTargeting TP63 and RAC2 can alter TAM functions, reduce their immunosuppressive effects, and enhance the ability of the immune system to attack tumors.
“Specifically, targeting TP63 and RAC2 can alter TAM functions, reduce their immunosuppressive effects, and thereby enhance the ability of the immune system to attack tumors.”
Quote in the paperNot a substantial claim- Rests on an assumption: M1 macrophage polarization is pro-inflammatory and antitumor.
- Rests on an assumption: Current treatment strategies for ESCC have limited efficacy, particularly in advanced-stage patients.
May combine two claims.
InterpretationreasoningIntervention in the efferocytosis process can alter the immune status within the tumor microenvironment, thereby inhibiting tumor progression.
“Our study further suggests that intervention in the efferocytosis process can alter the immune status within the TME, thereby inhibiting tumor progression.”
Quote in the paperSubstantial claim- Rests on an assumption: M1 macrophage polarization is pro-inflammatory and antitumor.
May combine two claims.
Interpretationown dataTP63 and KLF5 play critical roles in regulating the carcinogenic mechanisms of C1 FN1+ macrophages, with TP63 emerging as a key driver in the regulation of TAM biological functions.
“These findings suggest that TP63 and KLF5 play critical roles in regulating the carcinogenic mechanisms of C1 FN1+ macrophages, with TP63, in particular, emerging as a key driver in the regulation of TAM biological functions.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Study design and conductown dataThe RNA sequencing analysis was performed in three independent experiments.
“Three independent experiments were performed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenWritten informed consent was obtained from all participants.
“Written informed consent was obtained from all the participants.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe study was approved by the Ethics Committee of Ningbo Medical Center, Lihuili Hospital.
“This study adhered to all pertinent ethical regulations and was approved by the Ethics Committee of Ningbo Medical Center, Lihuili Hospital.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll human and mouse cell lines used were authenticated using STR profiling.
“All human and mouse cell lines (EC9706, KYSE180, THP-1, AKR, and RAW264.7) were authenticated using short tandem repeat (STR) profiling.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe study's relatively small sample size (nine patients) may limit the generalizability of its findings.
“The relatively small sample size (nine patients) may limit the generalizability of our findings”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataAnimal experiments were approved by the IACUC of Ningbo University.
“All animal experiments were conducted in accordance with the guidelines and approval of the Institutional Animal Care and Use Committee (IACUC) of Ningbo University (Approval No. 13124).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll cell lines were regularly tested and confirmed free of mycoplasma contamination.
“All cell lines were regularly tested and confirmed to be free of mycoplasma contamination.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenIn the multiplex immunohistochemistry analysis of human samples, two specialist pathologists blinded to patient information evaluated all specimens.
“Two specialist pathologists (blinded to the patient’s information) evaluated all specimens.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe data in this study are expressed as the mean ± SEM of three independent replicates.
“Data are expressed as the mean ± SEM of three independent replicates.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe truncated RAC2 promoter constructs used in the luciferase reporter assay were verified by sequencing.
“Truncated RAC2 promoter constructs were cloned into pGL3-Basic and verified by sequencing.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
TAMs are the most abundant immune cells in the tumor microenvironment.
“TAMs are the most abundant immune cells in the TME, and they can evolve a variety of malignant phenotypes to interfere with the development of ESCC and occupy a dominant position in the immune microenvironment of ESCC.”
The paper relies on this without support.
When tumor cells actively proliferate, their tissue differentiation ability gradually decreases.
“When tumor cells actively proliferate, their tissue differentiation ability gradually decreases.”
The paper relies on this without support.
Immune function in tumors is closely linked to the efferocytosis activity of TAMs.
“Immune function in tumors is closely linked to the efferocytosis activity of TAMs.”
The paper relies on this without support.
M1 macrophage polarization is pro-inflammatory and antitumor.
“shifted macrophage polarization toward the M1 phenotype, which is pro-inflammatory and antitumor.”
The paper relies on this without support.
Current treatment strategies for ESCC have limited efficacy, particularly in advanced-stage patients.
“However, these methods have limited efficacy, particularly in advanced-stage patients.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Different mouse strains reported for the peritoneal efferocytosis model
MajorThe Figure 7 caption identifies the efferocytosis model as C57BL/6, whereas the method for that experiment says the apoptotic cells were injected into BALB/c mice.
“Figure: Figure 7 Experimental study of shTP63 and shTP63+RAC2 in apoptotic AKR (apoptotic esophageal carcinoma) cells-C57BL/6 efferocytosis mouse model”
“Apoptotic cells were labeled with cell tracker green CMFDA and injected intraperitoneally into BALB/c mice.”
Thymus assay mouse sex conflicts with stated protocol
MajorThe animal-culture section says all in vivo experiments used female mice, but the thymus efferocytosis assay specifies male mice.
“In all in vivo experiments, 6–8-week-old female mice were used.”
“Eight-week-old male mice were injected intraperitoneally with shTP63 and RAC2 overexpression vectors for 24 h”
HYSE180 and KYSE180 are given as the second cell-line name
MinorThe functional-assay description calls the second esophageal carcinoma cell line HYSE180, whereas the cell-culture methods identify it as KYSE180.
“human primary macrophages were co-cultured with apoptotic esophageal carcinoma cells (EC9706 and HYSE180)”
“Human esophageal cancer cell lines EC9706 and KYSE180”
Figure data summaries conflict with the statistical-analysis section
MinorThe Figure 5 caption reports mean ± SD from five independent experiments, while the statistical-analysis section says data are expressed as mean ± SEM from three independent replicates.
“Data are presented as the mean ± SD of five independent experiments.”
“Data are expressed as the mean ± SEM of three independent replicates.”
Cited works that were retracted
Works this paper cites that were later retracted, from the retraction notices publishers deposit. Major when the notice came out before this paper was published.
Cites a retracted work: 10.1080/21655979.2022.2060720
InfoThe cited work was retracted on 2026-10-01 (notice 10.1080/21655979.2026.2728890), not before this paper was published (2026-01).
Cited work 10.1080/21655979.2022.2060720 · retracted 2026-10-01 · notice 10.1080/21655979.2026.2728890 · this paper published 2026-01
“Ke, 2022, Downregulation of long noncoding RNA breast cancer anti-estrogen resistance 4 inhibits cell proliferation, invasion, and migration in esophageal squamous cell carcinoma by regulating the microRNA-181c-5p/LIM and SH3 protein 1 axis, Bioengineered, 13, 12998, 10.1080/21655979.2022.2060720”
Cites
1 retracted
Ke, S., Fang, M., Li, R., et al. (2022) · Bioengineered · doi:10.1080/21655979.2022.2060720 · Cited by 12 · see citing works
RetractedIntegrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174 · see citing works
Fast, sensitive and accurate integration of single-cell data with Harmony
Korsunsky, I., Millard, N., Fan, J., Slowikowski, K., Zhang, F., Wei, K., Baglaenko, Y., Brenner, M., Loh, P.-R., & Raychaudhuri, S. (2019) · Nature Methods · doi:10.1038/s41592-019-0619-0 · Cited by 10,488 · see citing works
Improved scoring of functional groups from gene expression data by decorrelating GO graph structure
Alexa, A., Rahnenführer, J., & Lengauer, T. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl140 · Cited by 2,194 · see citing works
Single-cell transcriptional diversity is a hallmark of developmental potential
Gulati, G. S., Sikandar, S. S., Wesche, D. J., Manjunath, A., Bharadwaj, A., Berger, M. J., Ilagan, F., Kuo, A. H., Hsieh, R. W., Cai, S., et al. (2020) · Science · doi:10.1126/science.aax0249 · Cited by 1,571 · see citing works
Wu, F., Fan, J., He, Y., Xiong, A., Yu, J., Li, Y., Zhang, Y., Zhao, W., Zhou, F., Li, W., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22801-0 · Cited by 805 · see citing works
Self-citationZhou, Y., Yang, D., Yang, Q., Lv, X., Huang, W., Zhou, Z., Wang, Y., Zhang, Z., Yuan, T., Ding, X., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-20059-6 · Cited by 672 · see citing works
Self-citationZhou, Y., Fei, M., Zhang, G., Liang, W., Lin, W., Wu, Y., Piskol, R., Ridgway, J. B., McNamara, E., Huang, H., et al. (2020) · Immunity · doi:10.1016/j.immuni.2020.01.014 · Cited by 399 · see citing works
Self-citationEfferocytosis induces macrophage proliferation to help resolve tissue injury
Gerlach, B. D., Ampomah, P. B., Yurdagul, A., Liu, C., Lauring, M. C., Wang, X., Kasikara, C., Kong, N., Shi, J., Tao, W., et al. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.10.015 · Cited by 360 · see citing works
Jiang, H.-P., Yu, D., Yang, P.-H., Guo, R., Kong, M., Gao, Y., Yu, X.-F., Lu, X.-Y., & Fan, X.-H. (2022) · Clinical and Translational Medicine · doi:10.1002/ctm2.730 · Cited by 251 · see citing works
Yang, L., He, Y.-T., Dong, S., Wei, X., Chen, Z., Zhang, B., Chen, W., Yang, X., Wang, F., Shang, X.-M., et al. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2021-003534 · Cited by 234 · see citing works
Block, S., Maier, W., Bittner, R., Büchler, M., Malfertheiner, P., & Beger, H. G. (1986) · Gut · doi:10.1136/gut.27.9.1035 · Cited by 173 · cited 1× · see citing works
“17 On the other hand, in the second differentiation trajectory, the C1 FN1 + macrophage subtype displayed predominant enrichment in immune-related pathways, including ‘‘leukocyte,’’ ‘‘immune,’’ and ‘‘lymphocyte’’ pathways.”
Yang, M. H., Liu, J., Piao, C., Shao, J., & Du, J. (2015) · Cell Death and Disease · doi:10.1038/cddis.2015.144 · Cited by 127 · cited 1× · see citing works
“35 Additionally, comparing the mechanisms of efferocytosis across different cancer types can reveal its generality and specificity in tumor biology, thereby providing a basis for personalized therapy.”
Mathew, N. R., Jayanthan, J. K., Smirnov, I. V., Robinson, J. L., Axelsson, H., Nakka, S. S., Emmanouilidi, A., Czarnewski, P., Yewdell, W. T., Schön, K., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109286 · Cited by 115 · see citing works
Bhat‐Nakshatri, P., Gao, H., Liu, S., McGuire, P. C., Xuei, X., Wan, J., Liu, Y., Althouse, S. K., Colter, A. B., Sandusky, G. E., et al. (2020) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100219 · Cited by 112 · see citing works
Self-citationZhao, Z., Ding, Y., Tran, L. J., Chai, G., & Li, L. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1196892 · Cited by 111 · see citing works
Self-citationSingle-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma
Long, Z., Sun, C., Tang, M., Wang, Y., Ma, J., Yu, J., Wei, J., Ma, J., Wang, B., Xie, Q., et al. (2022) · Cell Discovery · doi:10.1038/s41421-022-00415-0 · Cited by 109 · see citing works
Gronski, M. A., Kinchen, J. M., Juncadella, I. J., Franc, N. C., & Ravichandran, K. S. (2009) · Cell Death & Differentiation · doi:10.1038/cdd.2009.55 · Cited by 92 · cited 1× · see citing works
“24,25 This immunosuppressive environment helps tumor cells evade immune surveillance and promotes tumor growth.”
Franken, A., Mol, P. V., Vanmassenhove, S., Donders, E., Schepers, R., Brussel, T. V., Dooms, C., Yserbyt, J., Crem, N. D., Testelmans, D., et al. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-005323 · Cited by 89 · see citing works
Zhang, L., Cui, Y., Zhou, G., Zhang, Z., & Zhang, Z. (2024) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2024-010008 · Cited by 84 · see citing works
Zhao, K., Qian, C., Qi, L., et al. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.129803 · Cited by 81 · see citing works
Self-citationMacrophage-Derived Neuropilin-2 Exhibits Novel Tumor-Promoting Functions
Roy, S., Bag, A. K., Dutta, S., Polavaram, N. S., Islam, R., Schellenburg, S., Banwait, J., Guda, C., Ran, S., Hollingsworth, M. A., et al. (2018) · Cancer Research · doi:10.1158/0008-5472.can-18-0562 · Cited by 80 · see citing works
Thymosin α-1 Reverses M2 Polarization of Tumor-Associated Macrophages during Efferocytosis
Wei, Y.-T., Wang, X.-R., Yan, C., Huang, F., Zhang, Y., Liu, X., Wen, Z.-F., Sun, X.-T., Zhang, Y., Chen, Y.-Q., et al. (2022) · Cancer Research · doi:10.1158/0008-5472.can-21-4260 · Cited by 80 · see citing works
Visual Analysis of Colorectal Cancer Immunotherapy: A Bibliometric Analysis From 2012 to 2021
Ma, L., Ma, J., Teng, M., & Li, Y. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.843106 · Cited by 72 · see citing works
Self-citationRibosomal S6 protein kinase 4 promotes radioresistance in esophageal squamous cell carcinoma
Li, M., Fan, L., Han, D., Yu, Z., Ma, J., Liu, Y.-X., Li, P., Zhao, D., Chai, J., Jiang, L., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci134930 · Cited by 71 · see citing works
Liang, X., Luo, M., Shao, B., Yang, J., Tong, A., Wang, R., Liu, Y., Jun, R., Liu, T., Yi, T., et al. (2022) · Cancer Communications · doi:10.1002/cac2.12272 · Cited by 68 · see citing works
Sorin, M., Karimi, E., Rezanejad, M., Yu, M. W., Desharnais, L., McDowell, S. A. C., Doré, S., Arabzadeh, A., Breton, V., Fiset, B., et al. (2023) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-005545 · Cited by 68 · see citing works
The complex roles of efferocytosis in cancer development, metastasis, and treatment
Tajbakhsh, A., Gheibi hayat, S. M., Movahedpour, A., Savardashtaki, A., Loveless, R., Barreto, G. E., Teng, Y., & Sahebkar, A. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.111776 · Cited by 64 · see citing works
Kim, W., Kim, H.-U., Lee, H.-N., Kim, S. H., Kim, C., Cha, Y.-N., Joe, Y., Chung, H. T., Jang, J., Kim, K., et al. (2015) · Antioxidants & Redox Signaling · doi:10.1089/ars.2013.5825 · Cited by 59 · cited 1× · see citing works
“24,25 This immunosuppressive environment helps tumor cells evade immune surveillance and promotes tumor growth.”
Zhang, L., Wang, W., Wang, R., Zhang, N., Shang, H., Bi, Y., Chen, D., Zhang, C., Li, L., Yin, J., et al. (2020) · Molecular Therapy · doi:10.1016/j.ymthe.2020.10.027 · Cited by 58 · see citing works
Kidney intercalated cells are phagocytic and acidify internalized uropathogenic Escherichia coli
Saxena, V., Gao, H., Arregui, S., Zollman, A., Kamocka, M. M., Xuei, X., McGuire, P. C., Hutchens, M. P., Hato, T., Hains, D. S., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22672-5 · Cited by 53 · see citing works
Adult mouse model of early hepatocellular carcinoma promoted by alcoholic liver disease
Ambade, A., Satishchandran, A., Gyongyosi, B., Lowe, P., & Szabo, G. (2016) · World Journal of Gastroenterology · doi:10.3748/wjg.v22.i16.4091 · Cited by 52 · see citing works
Lysosome-Dependent LXR and PPARδ Activation Upon Efferocytosis in Human Macrophages
Mota, A. C., Dominguez, M., Weigert, A., Snodgrass, R. G., Namgaladze, D., & Brüne, B. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.637778 · Cited by 51 · see citing works
Zhang, Q., Fei, L., Han, R., Huang, R., Wang, Y., Chen, H., Yao, B., Qiao, N., Wang, Z., Ma, Z., et al. (2022) · Cell Discovery · doi:10.1038/s41421-022-00459-2 · Cited by 51 · see citing works
Kim, H. J., Yang, K., Kim, K., Lee, Y., Lee, S., Ahn, S. Y., Ahn, Y., & Kang, J. L. (2022) · Cellular & Molecular Immunology · doi:10.1038/s41423-022-00930-w · Cited by 50 · see citing works
Wong, G. S., Lee, J., Park, Y.-Y., Klein–Szanto, A. J., Waldron, T. J., Cukierman, E., Herlyn, M., Gimotty, P. A., Nakagawa, H., & Rustgi, A. K. (2013) · Oncogenesis · doi:10.1038/oncsis.2013.17 · Cited by 47 · see citing works
Zhu, L., Giunzioni, I., Tavori, H., Covarrubias, R., Ding, L., Zhang, Y., Ormseth, M., Major, A. S., Stafford, J. M., Linton, M. F., et al. (2016) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.116.307736 · Cited by 46 · cited 1× · see citing works
“21 However, our research indicates that alterations in the efferocytosis process in ESCC may promote tumor growth and progression.”
Effective Treatment of Metastatic Melanoma by Combining MAPK and PI3K Signaling Pathway Inhibitors
Aasen, S. N., Parajuli, H., Hoang, T., Feng, Z., Stokke, K., Wang, J., Roy, K., Bjerkvig, R., Knappskog, S., & Thorsen, F. A. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20174235 · Cited by 44 · see citing works
Inactivation of Rab11a GTPase in Macrophages Facilitates Phagocytosis of Apoptotic Neutrophils
Jiang, C., Liu, Z., Hu, R., Bo, L., Minshall, R. D., Malik, A. B., & Hu, G. (2017) · The Journal of Immunology · doi:10.4049/jimmunol.1601495 · Cited by 43 · see citing works
Wang, J., Ren, M., Yu, J., Hu, M., Wang, X., Ma, W., Jiang, X., & Cui, J. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.104319 · Cited by 43 · see citing works
Anti‐tumor effects of PIM/PI3K/mTOR triple kinase inhibitor IBL‐302 in neuroblastoma
Mohlin, S., Hansson, K., Radke, K., Martinez, S., Blanco‐Apiricio, C., Garcia‐Ruiz, C., Welinder, C., Esfandyari, J., O'Neill, M., Pastor, J., et al. (2019) · EMBO Molecular Medicine · doi:10.15252/emmm.201810058 · Cited by 40 · see citing works
Li, G., Fang, N., Yuan, G.-H., Liu, C., Liu, X., Chen, L., Tian, B., & Yang, L. C. (2021) · Genome biology · doi:10.1186/s13059-021-02437-5 · Cited by 40 · see citing works
Piñeros, A. R., Kulkarni, A., Gao, H., Orr, K. S., Glenn, L. M., Huang, F., Liu, Y., GANNON, M. A., Syed, F., Wu, W., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111011 · Cited by 38 · see citing works
Liu, Y., Zou, L., Tang, H., Li, J., Liu, H., Jiang, X., Jiang, B., Dong, Z., & Fu, W. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.791875 · Cited by 36 · see citing works
Han, D., Han, Y., Guo, W., Wei, W., Yang, S., Xiang, J., Che, J., Zhu, L., Hang, J., van den Ende, T., et al. (2023) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2023-007847 · Cited by 35 · see citing works
Zheng, B., Ko, K.-P., Fang, X., Wang, X., Zhang, J., Jun, S., Kim, B.-J., Luo, W., Kim, M. J., Jung, Y., et al. (2021) · iScience · doi:10.1016/j.isci.2021.103440 · Cited by 34 · see citing works
Yang, M., Hu, P., Li, M., et al. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.722961 · Cited by 32 · see citing works
Recent advances of tanshinone in regulating autophagy for medicinal research
Wu, S., Zhao, K., Wang, J., Liu, N., Nie, K., Qi, L., & Xia, L. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.1059360 · Cited by 32 · see citing works
Self-citationYang, A., Dai, J., Xie, Z., Colman, R. W., Wu, Q., Birge, R. B., & Wu, Y. (2014) · The Journal of Immunology · doi:10.4049/jimmunol.1302590 · Cited by 30 · see citing works
Sun, Y., Zhang, Z., Zhang, C., Zhang, N., Wang, P., Chu, Y., Chard Dunmall, L. S., Lemoine, N. R., & Wang, Y. (2022) · Molecular Therapy - Oncolytics · doi:10.1016/j.omto.2022.05.008 · Cited by 30 · see citing works
Inhibition of glutathione metabolism attenuates esophageal cancer progression
Peng, L., Linghu, R., Chen, D., Yang, J., Kou, X., Wang, X.-Z., Hu, Y., Jiang, Y.-Z., & Yang, J. (2017) · Experimental & Molecular Medicine · doi:10.1038/emm.2017.15 · Cited by 29 · cited 1× · see citing works
“27,28 However, these methods have limited efficacy, particularly in advanced-stage patients.”
Gui, M., Huang, S., Li, S., Chen, Y., Cheng, F., Liu, Y., Wang, J., Wang, Y., Guo, R., Lu, Y., et al. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-04947-9 · Cited by 25 · see citing works
Furgiuele, S., Descamps, G., Lechien, J. R., Dequanter, D., Journé, F., & Saussez, S. (2022) · Cells · doi:10.3390/cells11132050 · Cited by 23 · cited 1× · see citing works
“14 In this study, we leveraged scRNA-seq and a suite of experimental approaches to investigate the role of efferocytosis in ESCC.”
Cao, X., Cai, H., Li, N., Zheng, B., Zheng, Z., & Liu, M. (2022) · Therapeutic Advances in Medical Oncology · doi:10.1177/17588359221122733 · Cited by 23 · see citing works
Single-Cell Profiling of Coding and Noncoding Genes in Human Dopamine Neuron Differentiation
Nilsson, F., Storm, P., Sozzi, E., Gil, D. H., Birtele, M., Sharma, Y., Parmar, M., & Fiorenzano, A. (2021) · Cells · doi:10.3390/cells10010137 · Cited by 22 · see citing works
Zhang, J., Zhang, B., Pu, C., Cui, J., Huang, K., Wang, H., & Zhao, Y. (2023) · Advanced Composites and Hybrid Materials · doi:10.1007/s42114-023-00649-w · Cited by 22 · see citing works
Piñeros, A. R., Gao, H., Wu, W., Liu, Y., Tersey, S. A., & Mirmira, R. G. (2020) · Metabolites · doi:10.3390/metabo10120513 · Cited by 21 · see citing works
Induction of Rosette-to-Lumen stage embryoids using reprogramming paradigms in ESCs
Langkabel, J., Horne, A., Bonaguro, L., Holsten, L., Hesse, T., Knaus, A., Riedel, Y. L., Becker, M., Händler, K., Elmzzahi, T., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-27586-w · Cited by 21 · see citing works
A novel cardiomyogenic role for Isl1 + neural crest cells in the inflow tract
Hatzistergos, K. E., Durante, M. A., Valasaki, K., Wanschel, A. C. B. A., Harbour, J. W., & Hare, J. M. (2020) · Science Advances · doi:10.1126/sciadv.aba9950 · Cited by 20 · see citing works
Gu, X., Cai, L., Luo, Z., Shi, L., Peng, Z., Sun, Y., & Chen, J. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1057088 · Cited by 20 · see citing works
Anandan, V., Thulaseedharan, T., Suresh Kumar, A., Chandran Latha, K., Revikumar, A., Mullasari, A., Kartha, C. C., Jaleel, A., & Ramachandran, S. (2021) · Cells · doi:10.3390/cells10123598 · Cited by 18 · see citing works
Biallelic loss‐of‐function variants in RBL2 in siblings with a neurodevelopmental disorder
Brunet, T., Radivojkov‐Blagojevic, M., Lichtner, P., et al. (2020) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.50992 · Cited by 16 · see citing works
Duan, Y., & Xu, X. L. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1193622 · Cited by 13 · see citing works
Self-citationZheng, Q., Gao, N., Sun, Q., Li, X., Wang, Y., & Xiao, H. (2021) · PLOS Genetics · doi:10.1371/journal.pgen.1009947 · Cited by 12 · cited 1× · see citing works
“20 Within the TME, efferocytosis aids in clearing dead cells and modulates immune responses by secreting anti-inflammatory cytokines.”
Liu, Z., Liu, Z., Li, S., et al. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.704543 · Cited by 11 · see citing works
A Computational Approach Identifies Immunogenic Features of Prognosis in Human Cancers
Manoharan, M., Mandloi, N., Priyadarshini, S., Patil, A., Gupta, R., Iyer, L., Gupta, R., & Chaudhuri, A. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.03017 · Cited by 10 · see citing works
Han, W., Wang, L., Li, C., et al. (2022) · Therapeutic Advances in Medical Oncology · doi:10.1177/17588359221131526 · Cited by 6 · see citing works
A computational method for large-scale identification of esophageal cancer-related genes
He, X., Li, W., Qiu, Z.-G., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.982641
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Pei, S., Chen, W., Qu, Z., et al. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1776875 · Cited by 1 · see citing works
“Tumor-associated macrophages (TAMs) are an important component of the tumor microenvironment (TME) (14 – 16).”
Wang, J.-J., 谢磊, Wang, X., et al. (2026) · Journal of Hepatocellular Carcinoma · doi:10.2147/jhc.s596827
Self-citationDu, X., Chen, H., Xu, R., et al. (2026) · Pathology - Research and Practice · doi:10.1016/j.prp.2026.156518
Mukherjee, S., Ghosal, J., Mukherjee, G., et al. (2026) · Food and Chemical Toxicology · doi:10.1016/j.fct.2026.116197
Chen, Z., Wang, X., Xiao, C., & Cao, Y. (2026) · PLoS ONE · doi:10.1371/journal.pone.0352871
Mechanistic anticancer effects of melittin across cancer hallmarks: A narrative evidence synthesis
Tan, B. H. Q., Chow, M. H., Chia, J. S. M., et al. (2026) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2026.102658
Tian, L., Wang, Y., Huang, L., et al. (2026) · Molecular Biology Reports · doi:10.1007/s11033-026-12597-x
Wu, Y., Bian, K., Lü, X., Kong, Y., Lou, S., Xie, J., Huang, Y., Nong, L., Li, S., Jiang, Q., et al. (2026) · Digestive Diseases and Sciences · doi:10.1007/s10620-026-10182-7
Tang, J., Lv, C., Dong, S., Song, L., Liu, Y., Luo, D., Long, Y., Xiao, D., Tao, Y., & Liu, S. (2026) · APOPTOSIS · doi:10.1007/s10495-026-02424-w
Self-citation4‐Hydroxytamoxifen induces a noncanonical ferroptosis in lung adenocarcinoma by targeting AKR1B10
Yang, H., Wang, Y., Jin, J., et al. (2026) · Clinical and Translational Medicine · doi:10.1002/ctm2.70796
Pde1b controls cyclic nucleotide signaling in cDC1 and macrophages to regulate immune responses
Rekowsky, L. L. D. O., da Silva, R. L. L., Seenarine, J., et al. (2026) · EMBO Reports · doi:10.1038/s44319-026-00924-z
Identification of key genes and mechanistic exploration of metabolic reprogramming in osteoporosis
He, Y., Shi, C., Yu, X., et al. (2026) · Journal of International Medical Research · doi:10.1177/03000605261491503
“32,33 Each qPCR assay was run in triplicate technical replicates.”
- Authors
- Xi, Y., Zhao, Z., Zhou, Y., Yin, C., Li, Y., Xu, X., Jin, W., Lin, C., Zhao, K., Kuang, J., Hong, S., Yu, B., Conde, J., Liu, S., & Shen, W.
- Affiliations
- Ningbo University (CN)
- Shanghai Jiao Tong University (CN)
- University of Malaya (MY)
- Peking University (CN)
- Fudan University (CN)
- City University of Hong Kong (HK)
- Yunnan University of Traditional Chinese Medicine (CN)
- Guangxi Medical University (CN)
- First Affiliated Hospital of Nanchang University (CN)
- Comprehensive Health Research Centre (PT)
- Second Affiliated Hospital of Xi'an Jiaotong University (CN)
- Corresponding author
- Hong, Senlian
- Yu, Bentong
- Conde, João
- Liu, Shiyuan
- Shen, Weiyu
- ORCID
- Conde, João
- Venue
- Cell Reports Medicine
- Publisher
- Elsevier BV
- Published
- 2026-01
- Volume
- 7
- Issue
- 1
- Pages
- 102529
- ISSN
- 2666-3791 (ISSN-L)
- PMC
- PMC12866140
- OpenAlex
- W4417534926
- Semantic Scholar
- 6a81bd6bb24c34770a6006f22eeac8bfbd1de423
- Cited by
- 12
- References
- 57
- Citations by year
- 2026: 12
- FWCI
- 3.55
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cell Reports Medicine (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (submittedVersion, cc-by-nc-nd)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
- CityU Scholars (submittedVersion, cc-by-nc-nd)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
- Funders
- Fundação para a Ciência e a Tecnologia (UID/04923, LISBOA2030-FEDER-00862500-14998)
- Ningbo Municipal Natural Science Foundation (2022J256)
- Natural Science Foundation of Jiangxi Province (20252BAC240428)
- National Key Research and Development Program of China (2022YFC3400803)
- National Natural Science Foundation of China (82560462)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Phagocytosis and Immune Regulation
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Health Sciences › Medicine › Surgery › Esophageal Cancer Research and Treatment
- Keywords
- macrophage efferocytosis, p63, Rac2, esophageal squamous cell carcinoma, tumor microenvironment, immunosuppression, antitumor immunity, tumor progression, therapeutic target
- MeSH terms
- Esophageal Squamous Cell Carcinoma, Efferocytosis, RAC2 GTP-Binding Protein, Animals, Esophageal Neoplasms, Female, Humans, Macrophages, Male, Phagocytosis, Transcription Factors, Signal Transduction, Apoptosis, rac GTP-Binding Proteins, Tumor Suppressor Proteins, Cell Line, Tumor, Mice, Tumor Microenvironment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-19.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-19.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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