Cited by 128Cancer Immunotherapy and BiomarkersHepatocellular Carcinoma Treatment and PrognosisT-cell and B-cell Immunology

PRDM1/BLIMP1 induces cancer immune evasion by modulating the USP22-SPI1-PD-L1 axis in hepatocellular carcinoma cells

Open access
Li, Qing, Zhang, Liren, You, Wenhua, Xu, Jiali, Dai, Jingjing, Hua, Dongxu, Zhang, Ruizhi, Yao, Feifan +12 more·2022·Nature Communications

Abstract

Programmed death receptor-1 (PD-1) blockade have achieved some efficacy but only in a fraction of patients with hepatocellular carcinoma (HCC). Programmed cell death 1 ligand 1 (PD-L1) binds to its receptor PD1 on T cells to dampen antigen-tumor immune responses. However, the mechanisms underlying PD-L1 regulation are not fully elucidated. Herein, we identify that tumoral Prdm1 overexpression inhibits cell growth in immune-deficient mouse models. Further, tumoral Prdm1 overexpression upregulates PD-L1 levels, dampening anti-tumor immunity in vivo, and neutralizes the anti-tumor efficacy of Prdm1 overexpression in immune-competent mouse models. Mechanistically, PRDM1 enhances USP22 transcription, thus reducing SPI1 protein degradation through deubiquitination, which enhances PD-L1 transcription. Functionally, PD-1 mAb treatment reinforces the efficacy of Prdm1-overexpressing HCC immune-competent mouse models. Collectively, we demonstrate that the PRDM1-USP22-SPI1 axis regulates PD-L1 levels, resulting in infiltrated CD8+ T cell exhaustion. Furthermore, PRDM1 overexpression combined with PD-(L)1 mAb treatment provides a therapeutic strategy for HCC treatment.

AI snapshot

Written from the paper’s full text.

TL;DR

PRDM1/BLIMP1 promotes HCC immune evasion by transcriptionally inducing USP22, which deubiquitinates and stabilizes SPI1, increasing PD-L1 transcription and CD8+ T cell exhaustion. Combining Prdm1 overexpression with PD-1 mAb improves antitumor efficacy in mouse HCC models.

Key findings

  • PRDM1/BLIMP1 upregulates PD-L1 in HCC cells; in cohort 1 (40 patients with HCC), tumoral BLIMP1 was inversely correlated with CD8+ T cells (R = −0.4877, P = 0.0014) and GZMB+ CD8+ T cells (R = −0.4882, P = 0.0014), and positively correlated with PD1+ exhausted CD8+ TILs (R = 0.3722, P = 0.0181).
  • Mechanistically, PRDM1 enhances USP22 transcription; a DUB siRNA library among 98 known human DUBs found that USP22 and USP33 suppression decreased SPI1 protein by more than 50%. USP22 deubiquitinates SPI1, and SPI1 binds PD-L1 promoter sites SBS 3 and 4 to enhance PD-L1 transcription.
  • In immune-competent mice, Prdm1 overexpression alone did not reduce tumor size or overall survival but reduced infiltrated CD8+ T cells and their GZMB+ activity and increased PD-1+ exhaustion; in immunodeficient mice, Prdm1 overexpression slowed tumor growth and prolonged survival. PD-1 mAb plus Prdm1 overexpression further impaired tumor proliferation and prolonged survival versus either alone (n = 6 mice per group).
  • In cohort 2 (90 patients with HCC), BLIMP1, USP22, and SPI1 were positively associated with PD-L1 and negatively associated with CD8+ T cell infiltration; scRNA-seq of 8,277 cells from two patients showed that the PRDM1-high tumor had more CD8+LAG3+ exhausted T cells and CD4+FOXP3+ Tregs.

Methods

  • Human Hep3B/Huh7 and murine Hepa1-6/H22 HCC cells were used with PRDM1/Prdm1 overexpression or CRISPR knockout; assays included qRT-PCR, western blotting, flow cytometry, 3D co-culture, T cell-mediated killing, PD1 binding, luciferase reporter, ChIP, co-IP/mass spectrometry, TMT proteomics, and a DUB siRNA library.
  • Mouse models used immune-competent C57BL/6 and immunodeficient BALB/c nude mice with subcutaneous or orthotopic tumors, plus a DEN/CCl4-induced HCC model; treatments included PD-1 mAb, IgG control, CD8α mAb, and AAV8-Prdm1, with n = 6 mice per group in tumor/survival experiments.
  • Clinical samples included cohort 1 (40 fresh HCC tissues), cohort 2 (90 paired HCC and adjacent normal tissues), and cohort 3 (22 HCC biopsies before PD-1 mAb-based therapy); scRNA-seq analyzed 8,277 cells from two patients. Statistical analyses used Student’s t test, Pearson correlation, and Kaplan–Meier/log-rank methods.

Limitations

  • Stated: the authors could not fully exclude that PRDM1 may also influence SPI1 protein stability through a specific E3 ligase; the mechanism separating PRDM1/BLIMP1’s growth-inhibitory and immune-evasion effects needs further investigation; and ideal therapeutic vectors such as AAV carrying PRDM1 still need safety and efficacy evaluation.
  • Evident: the scRNA-seq analysis included only two patients; the clinical cohorts came from a single center; and the proposed PRDM1 overexpression plus PD-(L)1 combination was tested in preclinical models, not in a human trial.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1038/s41467-022-35469-x

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

17 of 25 cited sources checked · 10 supported · 0 flagged · accuracy not yet measured

  • Premisecitation

    Most patients with hepatocellular carcinoma are unresponsive to PD-1/PD-L1 axis blockade.

    “However, most patients, especially patients with HCC, are unresponsive to the blockade of the PD-1/PD-L1 axis5,6.”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites [5] Sangro, B. et al. Association of inflammatory biomarkers with clinical outcomes in nivolumab-treated patients with advanced hepatocellular carcinoma. J. Hepatol. 73, 1460–1469 (2020). source
    • cites [6] Yang, W. et al. A selective HDAC8 inhibitor potentiates antitumor immunity and efficacy of immune checkpoint blockade in hepatocellular carcinoma. Sci. Transl. Med. 13, eaaz6804 (2021). source
  • Premisecitation

    Tumoral PD-L1 expression alone is not a reliable predictive biomarker of immunotherapy in most patients with HCC.

    “In addition, tumoral PD-L1 expression alone is not a reliable predictive biomarker of immunotherapy in most patients with HCC5.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [5] Sangro, B. et al. Association of inflammatory biomarkers with clinical outcomes in nivolumab-treated patients with advanced hepatocellular carcinoma. J. Hepatol. 73, 1460–1469 (2020). source

      The Discussion reports responses and changes in target-lesion size regardless of tumour PD-L1 expression, concluding that PD-L1 expression alone may not be an adequate biomarker. That is tentative evidence from nivolumab-treated patients with advanced HCC; it does not establish the claim's definitive conclusion about immunotherapy in most patients with HCC. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
  • Findingown data

    PRDM1 upregulation impaired CD8+ T cell activation (CD8+GZMB+ T cells) in co-culture.

    “PRDM1 upregulation impaired the CD8+ T cell activation (CD8+GZMB+ T cells) and T cell-mediated tumor cell killing activity (CD8+TNFα+ T cells) in the co-culture”
    Quote in the paperSubstantial claim
  • Findingown data

    Among the identified regulators, PRDM1 showed the highest correlation with PD-L1 expression.

    “Among these, PRDM1 showed the highest correlation with PD-L1 expression (Supplementary Fig. 1a).”
    Quote in the paperSubstantial claim
  • Findingown data

    PRDM1 knockout had contrasting effects on CD8+ T cell activation and killing activity in co-culture.

    “whereas PRDM1 knockout had contrasting effects (Fig. 1g, h).”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. 13
  • May combine two claims. 19
  • The quote only partly states this claim. 1
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    PD-L1 is widely expressed in various malignancies.

    “Programmed death ligand 1 (PD-L1, namely CD274) is widely expressed in various malignancies”
    Quote in the paperNot a substantial claim2 of 4 sources checked
    • cites [1] Papalexi, E. et al. Characterizing the molecular regulation of inhibitory immune checkpoints with multimodal single-cell screens. Nat. Genet. 53, 322–331 (2021). source
    • cites [2] Yu, M. et al. Interferon-gamma induces tumor resistance to anti-PD-1 immunotherapy by promoting YAP phase separation. Mol. cell 81, 1216.e9–1230.e9 (2021). source
    • cites [3] Pinato, D. J., Fessas, P., Sapisochin, G. & Marron, T. U. Perspectives on the neoadjuvant use of immunotherapy in hepatocellular carcinoma. Hepatology 74, 483–490 (2021). source
    • cites [4] Li, Z. et al. Clinical benefit of neoadjuvant anti-PD-1/PD-L1 utilization among different tumors. MedComm 2, 60–68 (2021). source
  • Classified as probably not a substantial claim.

    Premisecitation

    PD-L1 induces immune evasion by targeting PD-1 on activated T cells, resulting in T cell exhaustion.

    “induces immune evasion by targeting its ligand, programmed cell death 1 (PD-1) on activated T cells, resulting in T cell exhaustion1–4.”
    Quote in the paperSubstantial claim2 of 4 sources checked
    • cites [1] Papalexi, E. et al. Characterizing the molecular regulation of inhibitory immune checkpoints with multimodal single-cell screens. Nat. Genet. 53, 322–331 (2021). source

      The Introduction (page unavailable) says PD-L1 interacts with the PD-1 receptor on T cells to inhibit T-cell activation, and the Results (page unavailable) say cancer cells up-regulate PD-L1 to escape immune surveillance. Our copy does not specify activated T cells or say that this interaction results in T-cell exhaustion; a search for exhaustion found no supporting passage. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
    • cites [2] Yu, M. et al. Interferon-gamma induces tumor resistance to anti-PD-1 immunotherapy by promoting YAP phase separation. Mol. cell 81, 1216.e9–1230.e9 (2021). source
    • cites [3] Pinato, D. J., Fessas, P., Sapisochin, G. & Marron, T. U. Perspectives on the neoadjuvant use of immunotherapy in hepatocellular carcinoma. Hepatology 74, 483–490 (2021). source
    • cites [4] Li, Z. et al. Clinical benefit of neoadjuvant anti-PD-1/PD-L1 utilization among different tumors. MedComm 2, 60–68 (2021). source

      The Introduction (page not provided) says PD-L1 binds PD-1 on T cells, suppresses their activity, and enhances tumor immune escape. The Discussion (page not provided) identifies activated T cells as expressing PD-1. Neither passage says this interaction results in T-cell exhaustion, so that part of the claim is not supported by our copy. (LLM, conf=0.87)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Several critical proteins including CMTM4, CMTM6, GSK3β, CSN5, CDK4, CDK6, and palmitoylated B3GNT3 have been shown to affect post-translational PD-L1 stability.

    “Moreover, several critical proteins including CMTM4, CMTM6, GSK3β, CSN5, CDK4, CDK6, and palmitoylated B3GNT3 have been shown to affect post-translational PD-L1 stability31–36.”
    Quote in the paperNot a substantial claim4 of 6 sources checked
    • cites [31] Mezzadra, R. et al. Identification of CMTM6 and CMTM4 as PD-L1 protein regulators. Nature 549, 106–110 (2017). source
    • cites [32] Visan, I. CMTM6 controls PD-L1. Nat. Immunol. 18, 1067 (2017). source
    • cites [33] Burr, M. L. et al. CMTM6 maintains the expression of PD-L1 and regulates anti-tumour immunity. Nature 549, 101–105 (2017). source
    • cites [34] Borden, B. A. et al. The landscape of glycogen synthase kinase-3 beta genomic alterations in cancer. Mol. Cancer Ther. 20, 183–190 (2021). source
    • cites [35] Lim, S. O. et al. Deubiquitination and stabilization of PD-L1 by CSN5. Cancer Cell 30, 925–939 (2016). source
    • cites [36] Zhang, J. et al. Cyclin D-CDK4 kinase destabilizes PD-L1 via cullin 3-SPOP to control cancer immune surveillance. Nature 553, 91–95 (2018). source

      The SUMMARY (page not provided) shows that CDK4 affects PD-L1 protein abundance and that CDK4/6 inhibitors increase its stability. It also reports that CDK6 depletion did not increase PD-L1; this paper therefore does not support listing CDK6 as an independently demonstrated regulator. The other listed proteins are not established by this paper’s findings. (LLM, conf=0.89)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Various critical transcription factors, including HIF-1α, c-MYC, NF-kB, STAT3, c-JUN, and miR-138-5p, have been shown to transcriptionally regulate PD-L1 expression.

    “Various critical transcription factors, including HIF-1α, c-MYC, NF-kB, STAT3, c-JUN, and miR-138-5p have been shown to transcriptionally regulate PD-L1 expression25–30.”
    Quote in the paperNot a substantial claim6 of 6 sources checked
    • cites [25] Wang, J. et al. LncRNA NUTM2A-AS1 positively modulates TET1 and HIF-1A to enhance gastric cancer tumorigenesis and drug resistance by sponging miR-376a. Cancer Med. 9, 9499–9510 (2020). source

      The Results section ('TET1 interacts with HIF-1A to regulate PD-L1'; page unavailable) reports that HIF-1A enhanced PD-L1 expression in gastric cancer cells. The copy does not establish PD-L1 regulation by the other listed factors—c-MYC, NF-kB, STAT3, c-JUN, or miR-138-5p—so it supports only the HIF-1α part of the sentence. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
    • cites [26] Casey, S. C. et al. MYC regulates the antitumor immune response through CD47 and PD-L1. Science 352, 227–231 (2016). source
    • cites [27] Gu, S. S. et al. Therapeutically increasing MHC-I expression potentiates immune checkpoint blockade. Cancer Discov. 11, 1524–1541 (2021). source

      The Introduction (page unavailable) says IFNγ induces PD-L1, but does not identify the listed factors as its transcriptional regulators. The Results section on TRAF3 depletion discusses NF-κB regulation of MHC-I and reports no change in PD-L1 transcription after TRAF3 knockout. Searches for the listed factors and PD-L1 transcriptional regulation found no passage establishing the attributed claim. (LLM, conf=0.76)

      Experimental — accuracy not yet measured
    • cites [28] Song, T. L. et al. Oncogenic activation of the STAT3 pathway drives PD-L1 expression in natural killer/T-cell lymphoma. Blood 132, 1146–1158 (2018). source
    • cites [29] Cui, L. et al. Activation of JUN in fibroblasts promotes pro-fibrotic programme and modulates protective immunity. Nat. Commun. 11, 2795 (2020). source
    • cites [30] Song, N. et al. MicroRNA-138-5p suppresses non-small cell lung cancer cells by targeting PD-L1/PD-1 to regulate tumor microenvironment. Front. Cell Dev. Biol. 8, 540 (2020). source

      The Results section reports that miR-138-5p targets and down-regulates PD-L1, supporting its inclusion as a regulator. But the same section reports no significant change in PD-L1 gene expression despite lower protein expression, while the Introduction describes microRNAs as acting through mRNA degradation or translation inhibition. The paper therefore does not support calling miR-138-5p a transcription factor or saying it transcriptionally regulates PD-L1; it does not establish the other listed factors. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A recent study revealed that USP22 could regulate PD-L1 expression in a direct and indirect way.

    “Supporting this view, a recent study revealed that USP22 could regulate PD-L1 expression in a direct and indirect way37.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [37] Wang, Y. et al. The deubiquitinase USP22 regulates PD-L1 degradation in human cancer cells. Cell Commun. Signal. 18, 112 (2020). source
  • May combine two claims.

    Findingown data

    In sgPrdm1 groups, infiltrated CD8+ T cells and activity (GZMB+) of infiltrated CD8+ T cells were obviously increased.

    “Infiltrated CD8+ T cells and the activity (GZMB+) of infiltrated CD8+ T cells was obviously increased, and infiltrated CD8+ T cell exhaustion was significantly reduced in the sgPrdm1 groups (Fig. 2g–i).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Site-directed mutagenesis abolished the increased promoter activity in Hep3B cells with PRDM1 overexpression and the decreased promoter activity in PRDM1-knockout Huh7 cells.

    “Further, site-directed mutagenesis abolished the increased promoter activity in Hep3B cells with PRDM1 overexpression and the decreased promoter activity in PRDM1-knockout Huh7 cells (Fig. 5n, o).”
    Quote in the paperSubstantial claim
  • The quote only partly states this claim.

    Findingown data

    In Pd-l1−/− Hepa1-6 and H22 cells inoculated into immune-competent mice, Prdm1 overexpression inhibited tumor proliferation.

    “The results revealed that Prdm1 overexpression in immune-competent mice inhibited tumor proliferation and that Prdm1 knockout contributed to tumor proliferation (Supplementary Fig. 3i–n).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Patients with high tumoral BLIMP1 protein expression showed significant tumor shrinkage after PD-1 mAb-based treatment, whereas patients with low tumoral BLIMP1 protein expression showed tumor progression.

    “Meanwhile, patients with high tumoral BLIMP1 protein expression showed significant tumor shrinkage after treatment, whereas patients with low tumoral BLIMP1 protein expression showed tumor progression after treatment (Supplementary Fig. 9c, d).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In scRNA-seq, CD8+ cytotoxic T cell subpopulations were predominant in patient 1, who showed low expression of PRDM1 in tumor cells, whereas patient 2 showed a higher percentage of CD8+LAG3+ exhausted T cells and CD4+FOXP3+ Tregs.

    “We noticed that CD8+ cytotoxic T cell subpopulations were predominant in patient 1, who showed low expression of PRDM1 in tumor cells, whereas patient 2 showed a higher percentage of CD8+LAG3+ exhausted T cells and CD4+FOXP3+ Tregs, supporting the notion that PRDM1 overexpression potentiates T cell exhaustion (Fig. 8e).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Co-treatment with Prdm1 knockout and PD-1 displayed comparable percentages of infiltrated CD8+ T cells, activities (GZMB+) of infiltrated CD8+ T cells, and exhaustion of infiltrated CD8+ T cells compared with Prdm1 knockout alone.

    “Flow cytometry analysis and IF staining confirmed that co-treatment with Prdm1 knockout and PD-1 displayed comparable percentages of infiltrated CD8+ T cells, activities (GZMB+) of infiltrated CD8+ T cells, and exhaustion of infiltrated CD8+ T cells compared with those in Prdm1 knockout alone (Fig. 6j and Supplementary Fig. 7d–f).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Preclinical animal experiments including subcutaneous tumor models, orthotopic tumor models, and the DEN-induced HCC model validated the synergistic effect of Prdm1 overexpression and PD-1 mAb treatment, in terms of a distinct reduction in tumor size/number and extended overall survival, which was attributed to the reinforcement of TILs in the tumors.

    “Our preclinical animal experiments including subcutaneous tumor models, orthotopic tumor models, and the DEN-induced HCC model, validated the synergistic effect of Prdm1 overexpression and PD-1 mAb treatment, in terms of a distinct reduction in tumor size/number and extended overall survival, which was attributed to the reinforcement of TILs in the tumors.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    PRDM1-overexpressing HCC cells upregulated PD-L1 expression and inhibited T cell-mediated anti-tumor immunity, thus dampening its role as a tumor growth suppressor in immunocompetent mice.

    “Here, we found that PRDM1-overexpressing HCC cells upregulated PD-L1 expression and inhibited T cell-mediated anti-tumor immunity, thus dampening its role as a tumor growth suppressor in immunocompetent mice.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    In HCC tissues, BLIMP1 and PD-L1 levels were negatively correlated with CD8+ T cells and the activity (GZMB+) of infiltrated CD8+ T cells.

    “Moreover, BLIMP1 and PD-L1 levels were negatively correlated with CD8+ T cells, and the activity (GZMB+) of infiltrated CD8+ T cells (Fig. 7d).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Patient 2 with high tumoral PRDM1 expression showed significant tumor shrinkage after treatment, whereas patient 1 with low tumoral PRDM1 expression showed tumor progression after treatment.

    “Ultimately, as expected, patient 2 with high tumoral PRDM1 expression showed significant tumor shrinkage after treatment, whereas patient 1 with low tumoral PRDM1 expression showed tumor progression after treatment.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    GO analysis of DEGs in tumor cells from patient 2 showed significant enrichment of immune regulatory parameters including positive regulation of immune response, response to interferon-gamma, and lymphocyte activation, and of the cell death pathway.

    “Immune regulatory parameters such as positive regulation of immune response, response to interferon-gamma, and lymphocyte activation, were significantly enriched. Regulation of the cell death pathway was also significantly enriched, indicating that PRDM1 might suppress the proliferation ability of HCC cell lines by mediating tumor cell death (Fig. 8f).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationown data

    USP22 interacts with SPI1 and enhances SPI1 stability through deubiquitination.

    “These results indicate that USP22 interacts with SPI1 and enhances SPI1 stability through deubiquitination.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The ubiquitin-proteasome system enhances proteasomal degradation of its target proteins.
    • Rests on an assumption: Deubiquitinating enzymes control ubiquitin-dependent pathways by separating protein-ubiquitin bonds.
  • May combine two claims.

    Interpretationown data

    Prdm1 fails to impede tumor proliferation in immunocompetent mice but impairs tumor progression in immunodeficient mice.

    “Thus, Prdm1 fails to impede tumor proliferation in immunocompetent mice but impairs tumor progression in immunodeficient mice.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationown data

    Prdm1 may promote tumor immune evasion by driving PD-L1 upregulation and neutralizing the anti-tumor efficacy of Prdm1 overexpression.

    “Thus, above results confirmed that Prdm1 may promote tumor immune evasion by driving PD-L1 upregulation and neutralizing the anti-tumor efficacy of Prdm1 overexpression.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: T cell exhaustion due to PD-L1/PD1 inhibitory receptor signaling impairs T cell proliferation and effector functions.
  • May combine two claims.

    Interpretationown data

    SPI1 is a downstream effector of PRDM1 and directly binds the PD-L1 promoter to enhance its mRNA expression.

    “Taken together, SPI1 is a downstream effector of PRDM1 and directly binds the PD-L1 promoter to enhance its mRNA expression.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: SPI1 is a transcription factor for PD-L1.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Each specimen was histologically and pathologically examined and graded by two experienced pathologists.

    “Each specimen was histologically and pathologically examined and graded by two experienced pathologists.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Gating strategies used for flow cytometry staining was provided in Supplementary Fig. 10.

    “Gating strategies used for flow cytometry staining was provided in Supplementary Fig. 10.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Uncropped and unprocessed scans of blots are included in a Source Data file.

    “Uncropped and unprocessed scans of blots are included in a Source Data file.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The formula π/6(L × W × H) is confirmed to be the best formula representing the actual volume of a wide spectrum of tumor shapes and sizes.

    “Tumor sizes were calculated by the volume formula π/6(L × W × H) [L: the length (longest dimension); W: width (shorter dimension, parallel to the mouse body); H: height (diameter of tumor perpendicular to the length and width)], which is confirmed to be the best formula represented the actual volume of a wide spectrum of tumor shapes and sizes38.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [38] Tomayko, M. M. & Reynolds, C. P. Determination of subcutaneous tumor size in athymic (nude) mice. Cancer Chemother. Pharmacol. 24, 148–154 (1989). source
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    All animal studies were approved by the Institutional Animal Care and Use Committee of Nanjing Medical University and conducted according to approved protocols.

    “All the animal studies were approved by the Institutional Animal Care and Use Committee of Nanjing Medical University and conducted according to protocols approved by the Ethical Committee of Nanjing Medical university.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    P values were determined by unpaired two-sided Student's t test and Kaplan-Meier method with no correction for multiple comparisons.

    “P value was determined by unpaired two-sided Student’s t test (e, g, i, j, n, o) and Kaplan–Meier method (f, h, p) with no correction for multiple comparisons.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    No patient in Cohort 1 and Cohort 2 received any other HCC treatment prior to surgery.

    “No patient in Cohort 1 and Cohort 2 received any other HCC treatment prior to surgery.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    The PRDM1-USP22-SPI1 axis regulates PD-L1 levels, resulting in infiltrated CD8+ T cell exhaustion.

    “Collectively, we demonstrate that the PRDM1-USP22-SPI1 axis regulates PD-L1 levels, resulting in infiltrated CD8+ T cell exhaustion.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The mechanisms underlying PD-L1 regulation are not fully elucidated.
    • Rests on an assumption: The role of the PRDM family in regulating anti-tumor immunity and immune molecules in HCC cells remains largely unknown.
    • Rests on an assumption: SPI1 is a transcription factor for PD-L1.
    • Rests on an assumption: T cell exhaustion due to PD-L1/PD1 inhibitory receptor signaling impairs T cell proliferation and effector functions.
    • Rests on an assumption: The ubiquitin-proteasome system enhances proteasomal degradation of its target proteins.
    • Rests on an assumption: Deubiquitinating enzymes control ubiquitin-dependent pathways by separating protein-ubiquitin bonds.
  • May combine two claims.

    Interpretationreasoning

    PRDM1 may upregulate SPI1 expression, thus contributing to PD-L1 expression.

    “Herein, we identified that PRDM1 may upregulate SPI1 expression, thus contributing to PD-L1 expression.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    The study was approved by the Ethics Committee of the First Affiliated Hospital of Nanjing Medical University, and informed consent was obtained from each patient.

    “Our study was approved by the Ethics Committee of the First Affiliated Hospital of Nanjing Medical University, and informed consent was obtained from each patient.”
    Quote in the paperNot a substantial claim
30 of 30
  • The paper relies on this without support.

    The mechanisms underlying PD-L1 regulation are not fully elucidated.

    “However, the mechanisms underlying PD-L1 regulation are not fully elucidated.”
  • The paper relies on this without support.

    The role of the PRDM family in regulating anti-tumor immunity and immune molecules in HCC cells remains largely unknown.

    “However, the role of the PRDM family in regulating anti-tumor immunity and immune molecules in HCC cells remains largely unknown.”
  • The paper relies on this without support.

    SPI1 is a transcription factor for PD-L1.

    “SPI1, a transcription factor for PD-L1, was the most likely candidate based on fold change (Fig. 3b).”
  • The paper relies on this without support.

    T cell exhaustion due to PD-L1/PD1 inhibitory receptor signaling impairs T cell proliferation and effector functions.

    “As T cell exhaustion due to PD-L1/PD1 inhibitory receptor signaling impairs T cell proliferation and effector functions, the relationship between tumoral BLIMP1 protein expression and exhausted T cells in HCC specimens was examined by profiling the content and function of CD8+ T cells in tumor-infiltrating T lymphocytes (TILs) using flow cytometry in cohort 1”
  • The paper relies on this without support.

    The ubiquitin-proteasome system enhances proteasomal degradation of its target proteins.

    “The ubiquitin-proteasome system (UPS) enhances proteasomal degradation of its target proteins.”
  • The paper relies on this without support.

    Deubiquitinating enzymes control ubiquitin-dependent pathways by separating protein-ubiquitin bonds.

    “Deubiquitinating enzymes (DUBs) control ubiquitin-dependent pathways by separating protein-ubiquitin bonds.”
  • The paper relies on this without support.

    Only a fraction of patients with HCC respond to PD-(L)1 mAb therapy.

    “However, only a fraction of patients with HCC respond to PD-(L)1 mAb therapy.”
  • The paper relies on this without support.

    PD-(L)1 mAb has been proven to be beneficial for patients with various advanced malignancies.

    “PD-(L)1 mAb has been proven to be beneficial for patients with various advanced malignancies.”
8 of 8

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.

  • PD-L1 protein response to PRDM1 is described inconsistently

    Minor

    One passage says PRDM1 enhances PD-L1 mRNA but not protein expression, while an earlier passage reports increased total and cell-surface PD-L1 protein after PRDM1 overexpression.

  • Prdm1 is said to enlarge tumors despite unchanged tumor size

    Minor

    The paper describes Prdm1-induced in vivo tumor enlargement when introducing a follow-up experiment, but previously reports no obvious tumor-size difference between Prdm1 and control groups in immune-competent mice.

2 of 2

Cites

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1 of the 42 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Li, Q., Zhang, L., You, W., Xu, J., Dai, J., Hua, D., Zhang, R., Yao, F., Zhou, S., Huang, W., Dai, Y., Zhang, Y., Baheti, T., Qian, X., Pu, L., Xu, J., Xia, Y., Zhang, C., Tang, J., & Wang, X.
Affiliations
  • Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
  • Southeast University (CN)
  • Jiangsu Province Hospital (CN)
Corresponding author
  • Xia, Yongxiang
  • Zhang, Chuanyong
  • Tang, Jinhai
  • Wang, Xuehao
Venue
Nature Communications
Published
2022-12-12
Volume
13
Issue
1
Pages
7677-7677
ISSN
2041-1723 (ISSN-L)
OpenAlex
W4311824088
Cited by
128
References
42
Citations by year
2026: 24 · 2025: 39 · 2024: 50 · 2023: 7
FWCI
9.61
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Health Sciences › Medicine › Hepatology › Hepatocellular Carcinoma Treatment and Prognosis
  • Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
Keywords
Blimp-1, hepatocellular carcinoma, tumor immune evasion, PD-L1, PD-1, USP22, PU.1, deubiquitination
MeSH terms
Positive Regulatory Domain I-Binding Factor 1, Animals, Carcinoma, Hepatocellular, Liver Neoplasms, CD8-Positive T-Lymphocytes, Mice, Immune Evasion, B7-H1 Antigen

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 2026-10-07.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-07.

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.

What counts as a claim ›How we measure confidence ›How we check this ›

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