A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells

Hallmarks of Cancer: The Next Generation

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Fast and accurate short read alignment with Burrows-Wheeler transform

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RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

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ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data

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The Molecular Signatures Database Hallmark Gene Set Collection

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Fast and accurate long-read alignment with Burrows-Wheeler transform.

Li, H., & Durbin, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp698 · Cited by 12,063

A framework for variation discovery and genotyping using next-generation DNA sequencing data

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SCANPY: large-scale single-cell gene expression data analysis

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Scenic: single-cell regulatory network inference and clustering.

Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520

Alternative activation of macrophages

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The Dynamically Evolving Cell States and Ecosystem from Benign Nevi to Melanoma

Li, X., Zhang, X., Zhao, S., Pei, S., Sun, J., Dong, L., Pan, X., Wang, W., Liu, H., Huang, Y., et al. (2025) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-24-2971 · Cited by 5

New insights into tumor microenvironment and HPV integrations in cervical cancer pathogenesis revealed by single-cell transcriptome data

Zeng, X., Peng, F., Wang, Z., Teng, Q., Sha, Y., Leung, R. K., Christopher, L. A. I. K. C., Li, G., Huang, X., & Lin, S. (2025) · Human Molecular Genetics · doi:10.1093/hmg/ddaf027 · Cited by 5

Comprehensive Analyses of Single-Cell and Bulk RNA Sequencing Data From M2 Macrophages to Elucidate the Immune Prognostic Signature in Patients with Gastric Cancer Peritoneal Metastasis

Tang, Q., Tang, L. V., Wang, X., Zhang, Y., Liu, W., Yang, T., Wu, Y., Ma, Y., Lei, T., & Wu, S. (2025) · ImmunoTargets and Therapy · doi:10.2147/itt.s506143 · Cited by 5

High-resolution transcriptome atlas of bladder cancer highlights the functional myeloid subsets in modulating immune microenvironment

Liu, J., Shi, Z., Li, Y., Ma, J., Yao, J., Yuan, Z., Wang, Y., Yang, C., Li, X., Xing, N., et al. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105801 · Cited by 5

Effectorless Fc-fusion improves FLT3L drug-like properties for cancer immunotherapy combinations

Decalf, J., Toy, E., He, D., Kenkre, R., Berkley, A. M., Wong, D., Kwong, M., Kee, Y.-S., Sun, Y., Myneni, S., et al. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105822 · Cited by 5

Quantifying Landscape and Flux from Single-Cell Omics: Unraveling the Physical Mechanisms of Cell Function

Zhu, L., & Wang, J. (2025) · JACS Au · doi:10.1021/jacsau.5c00620 · Cited by 6

Integrating pathology genomics and single-cell genomics to identify lactate metabolism-related prognostic features and therapeutic strategies for melanoma

Zhao, S., Liang, X., Xie, J., Lin, Z., Li, Z., Jiang, Z., Chen, W., Dai, H., He, Y., & Li, L. (2025) · APOPTOSIS · doi:10.1007/s10495-025-02190-1 · Cited by 5

Dysregulated Sialylation in Cancer: From Immunosuppressive Microenvironment to Siglec-Targeted Therapeutics

Zhang, Y., Gao, Z., Zhang, Y., Ai, S., Li, W., & Sun, L. (2025) · Biomolecules · doi:10.3390/biom15101375 · Cited by 5

Virus-like particles enable targeted gene engineering and pooled CRISPR screening in primary human myeloid cells

Jung, H., Devant, P., Ching, C., Ota, M., Dann, E., Zhu, R., Modak, C., Vasquez-Ibarra, A., Hamilton, J. R., Steinhart, Z., et al. (2026) · Nature Biotechnology · doi:10.1038/s41587-026-03258-2 · Cited by 6

CCR7+ activated dendritic cells are essential for spontaneous and immunotherapy-driven anti-tumor immunity

Koufaki, M. A., Richardson, E., Bonavita, E., Reeves, R., Moeini, A., Chiang, S., Banyard, A., Russo, M., Earnshaw, C. H., Bell, C. R., et al. (2026) · Immunity · doi:10.1016/j.immuni.2026.07.002 · Cited by 5

SCISSOR™: a single-cell inferred site-specific omics resource for tumor microenvironment association study

Cui, X., Qin, F., Yu, X., Xiao, F., & Cai, G. (2021) · NAR Cancer · doi:10.1093/narcan/zcab037 · Cited by 5

Heterogeneity and function of macrophages in the breast during homeostasis and cancer

Hadadi, É., Deschoemaeker, S., Vicente-Venegas, G., & Laoui, D. (2022) · International review of cytology · doi:10.1016/bs.ircmb.2022.01.002 · Cited by 5

Siglec15 promotes the migration of thyroid carcinoma cells by enhancing the EGFR protein stability

Huang, S., Ji, Z., Xu, J., Yang, Y., Wu, B., Chen, Q., Geng, S., Si, Y., Chen, J., Wei, Y., et al. (2023) · Glycobiology · doi:10.1093/glycob/cwad037 · Cited by 5

Immune checkpoints targeting dendritic cells for antibody-based modulation in cancer

Lei, X., Wang, Y., Broens, C., Borst, J. G., & Xiao, Y. (2023) · International review of cytology · doi:10.1016/bs.ircmb.2023.07.006 · Cited by 5

A novel multigene panel (Sig27) robustly predicts poor prognosis of renal cell carcinoma via high-level associations with immunosuppressive features

Dong, Y., Shayegan, B., Su, Y., Neira, S. V., & Tang, D. (2025) · BJC Reports · doi:10.1038/s44276-025-00128-3 · Cited by 6

High-plex imaging of hepatoblastoma and adjacent liver in pediatric patients reveals a predominant myeloid infiltrate expressing immune-checkpoints

Krijgsman, D., Schubert, S. A., Kraaier, L. J., Lu, Y., Avondt, K. V., Verdonschot, M. E. L., Leusen, J. H. W., van den Heuvel, M. C., de Kleine, R. H. J., de Meijer, V. E., et al. (2025) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-025-04164-3 · Cited by 5

Aberrantly hypermethylated ARID1B is a novel biomarker and potential therapeutic target of colon adenocarcinoma

Baldi, S., He, Y., Ivanov, I., Khamgan, H., Safi, M., Alradhi, M., Shopit, A., Al-Danakh, A. Y., Al‐Nusaif, M., Gao, Y., et al. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.914354 · Cited by 5

Nonclinical pharmacokinetics, pharmacodynamics and safety assessment of a FLT3L-Fc molecule for cancer immunotherapy

Wu, K. C., Adedeji, A. O., Zabka, T. S., Hosseini, I., Kenkre, R., Getz, J. A., Nguyen, T. V., Decalf, J., Bainbridge, T. W., Chilton, J. A., et al. (2024) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2024.116837 · Cited by 5

Elucidating the role of Pyroptosis in papillary thyroid cancer: prognostic, immunological, and therapeutic perspectives

Li, F., Du, R., Kou, J., Li, J., Zhou, L., Zhang, D., Fu, Y., Dionigi, G., Bertoli, S., Sun, H., et al. (2024) · Cancer Cell International · doi:10.1186/s12935-024-03229-0 · Cited by 5

A Pan-Cancer Census of Dominant Tumor Immune ArchetypesPreprint

Combes, A. J., Samad, B., Tsui, J., Chew, N. W., Yan, P., Reeder, G. C., Kushnoor, D., Shen, A., Davidson, B., Barczac, A. J., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.26.441344 · Cited by 5

SPP1+ macrophages: A malignant macrophage subset in the colorectal cancer microenvironment revealed by single-cell sequencingPreprint

Zheng, J., Xie, Z., Niu, L., Zheng, G., Li, R., Dan, H., Duan, L., Wu, H., Ren, G., Dou, X., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1984416/v1 · Cited by 5

Mammary carcinoma: toward a realistic mouse model of incurable cancers

Pérez-Lanzón, M., Maiuri, M. C., López-Otı́n, C., & Kroemer, G. (2023) · OncoImmunology · doi:10.1080/2162402x.2023.2240613 · Cited by 5

New era of cancer immunology driven by big data

Zheng, C., & Zhang, Z. (2023) · Medical Review · doi:10.1515/mr-2023-0070 · Cited by 5

Identification of hypoxic macrophages in glioblastoma: Unveiling therapeutic insights from tumour microenvironment analysis

Qin, Z., Bian, X., & Shi, Y. (2024) · Clinical and Translational Medicine · doi:10.1002/ctm2.70013 · Cited by 5

From dichotomy to diversity: deciphering the multifaceted roles of tumor-associated macrophages in cancer progression and therapy

Wang, X., Chen, J., & Jia, G. (2023) · Cancer Biology and Medicine · doi:10.20892/j.issn.2095-3941.2023.0370 · Cited by 4

Leveraging Multi-Tissue, Single-Cell Atlases as Tools to Elucidate Shared Mechanisms of Immune-Mediated Inflammatory Diseases

McLean, A. K., Reynolds, G., & Pratt, A. G. (2024) · Biomedicines · doi:10.3390/biomedicines12061297 · Cited by 4

Integrated temporal transcriptional and epigenetic single-cell analysis reveals the intrarenal immune characteristics in an early-stage model of IgA nephropathy during its acute injury

Chen, X., Zhang, Y., Zhou, J., Zhang, J., Dong, H., Chen, X., Tian, Y., & Wu, Y. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1405748 · Cited by 4

Comparison of differences in transcriptional and genetic profiles between intra-central nervous system and extra-central nervous system large B-cell lymphoma

Wang, S., Chen, H., Dai, B., Zheng, K., Zheng, J., Zhu, Y., Yuan, Y., Ding, T., Wang, Q., Xie, L., et al. (2024) · Neoplasia · doi:10.1016/j.neo.2024.101119 · Cited by 4

An activin receptor-like kinase 1–governed monocytic lineage shapes an immunosuppressive landscape in breast cancer metastases

Talkhoncheh, M. S., Sjölund, J., Bolívar, P., Kurzejamska, E., Cordero, E., Pagès, T. V., Larsson, S., Lehn, S., Frimannsson, G., Ingesson, V., et al. (2025) · Journal of Clinical Investigation · doi:10.1172/jci183086 · Cited by 4

The clinical significance and potential therapeutic target of tumor-associated macrophage in non-small cell lung cancer

Sun, J., Zhou, S., Sun, Y., & Zeng, Y. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1541104 · Cited by 4

Translating genetics into tissue: inflammatory cytokine-producing TAMs and PD-L1 tumor expression as poor prognosis factors in cutaneous melanoma

Barrio‐Alonso, C., Nieto‐Valle, A., Barandalla-Revilla, L., Avilés-Izquierdo, J. A., Parra‐Blanco, V., Sánchez‐Mateos, P., & Samaniego, R. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1587545 · Cited by 4

Integration of single-cell RNA and bulk RNA sequencing revealed malignant ductal cell heterogeneity and prognosis signatures in pancreatic cancer

Du, H., Si, G., Si, J., Song, X., & Si, F. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1579184 · Cited by 4

Dendritic cell-liposome conjugates reverse immunosuppressive tumor microenvironment for inhibiting colitis-associated colorectal cancer

Yi, W., Qian, X., Xu, X., Pu, R., Yan, D., Zhao, Z., Li, Y., & Wang, D. (2025) · Acta Pharmacologica Sinica · doi:10.1038/s41401-025-01614-7 · Cited by 4

Single-cell profiling identifies biomarkers for immunochemotherapy in esophageal squamous cell carcinoma

Wang, C., Xie, G., Jia, M., Xu, L., Ruan, R., Chang, Y., Kan, X., Feng, Y., Ying, J., Huang, Y., et al. (2025) · Cancer Letters · doi:10.1016/j.canlet.2025.217988 · Cited by 4

Loss of PTDSS1 in tumor cells improves immunogenicity and response to anti–PD-1 therapy

Liu, J., Herbrich, S. M., Basu, S., Chen, Y., Nagarajan, A., Anandhan, S., Goswami, S., Xiong, L., Guan, B., & Sharma, P. (2025) · Science Advances · doi:10.1126/sciadv.adx8134 · Cited by 4

ENO1 promotes cancer metastasis via stimulating metabolism reprogramming in osteosarcoma

Huang, P., He, S., Qi, Z., Nijiati, Y., Wang, J., Lin, Z., Ma, Y., Dong, R., Chen, G., & Ning, B. (2025) · British Journal of Cancer · doi:10.1038/s41416-025-03182-3 · Cited by 5

IL4/IL13 Inhibition via Dupilumab Reduces Malignant T-cell Proliferation and Promotes Antitumor Immunity in Sézary Syndrome

Geskin, L. J., Gaydosik, A. M., Lapolla, B. A., & Fuschiotti, P. (2025) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-25-0677 · Cited by 4

Integrative analysis of single-cell and bulk transcriptome data reveals age-related immune cell alterations in primary glioblastoma associated with prognosis

Jing, Z., Qiu, B., Ai, C., Wang, C., Wang, X., Li, B., Hou, L., Yin, B., Han, W., & Peng, X. (2025) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-025-04206-w · Cited by 5

Single-cell atlas of the tumor immune microenvironment across syngeneic murine models

Wang, J., Jiang, B., Deng, M., Yan, H., Zhang, P., Jin, W., & Shen, Z. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1676581 · Cited by 4

Spatial Multiomic Analyses Reveal Carcinogenic Pathways in End-Stage Renal Disease

Takahashi, J., Tanaka, Y., Sato, Y., Hashimoto, H., Ueno, T., Kojima, S., Kuroda, R., Kondo, A., Okumura, G., Fukagawa, A., et al. (2025) · Cancer Discovery · doi:10.1158/2159-8290.cd-25-0472 · Cited by 4

Cellular reprogramming during anti-PD-1 and chemotherapy treatment in early-stage primary hormone receptor-positive breast cancer

Fu, J., Waks, A. G., Pimenta, E. M., Titchen, B. M., Bi, K., Camp, S. Y., Pappa, T., Keenan, T. E., Shannon, E. E., Vigneau, S., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-66659-y · Cited by 4

Glycolytic diversity drives immune complexity in cancer

Wu, C.-Y., Huang, C.-X., Yuan, W., & Kuang, D. (2025) · Trends in Immunology · doi:10.1016/j.it.2025.11.002 · Cited by 4

The Identification of LA-tumor associated macrophages in immune modulation via amyloid-beta precursor protein/CD74 signal pathway in gastric cancer: a predictive module and machine learning

Wang, J.-P., An, C.-C., Wang, Z.-N., Wei, Z.-J., & Dai, Y. (2026) · Frontiers in Oncology · doi:10.3389/fonc.2025.1752562 · Cited by 4

M2 macrophages modulate the differentiation of CD8 + CD101-TIM3 + T cells via the SPP1‒CD44 pathway, influencing the immunotherapeutic response in NSCLC

Zhang, G., Wu, Y., Qi, D., Zhou, J. J., Wu, X., Du, J., Xu, R., & Du, X. (2026) · Journal of Translational Medicine · doi:10.1186/s12967-025-07662-1 · Cited by 5

Colorectal microenvironment determines the prognosis of colorectal cancer

Bang, Y. H., Choi, J. H., Park, K., Lee, B., Han, K. Y., Pyo, D. H., Cho, Y. B., Kim, T. M., Park, K. J., Ryoo, S., et al. (2026) · Experimental & Molecular Medicine · doi:10.1038/s12276-025-01599-7 · Cited by 4

Single-cell sequencing and network pharmacology coupled with molecular docking and experimental validation reveal the effects of YPFS on macrophages in stage I non-small cell lung cancer

Li, H., Zhao, Q., Yang, L., Wang, L., Ye, F., Yang, L., Zhang, P., & Zhang, Y. (2026) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-026-04305-2 · Cited by 4

Tumor-associated macrophages: orchestrators of the tumor microenvironment

Echols, J. B., Meehan, A. W., Marotto, K., Ordonez, V., & Hildreth, B. E. (2026) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00834.2025 · Cited by 4

Tertiary lymphoid structures correlate with reduced recurrence risk and enhanced antitumor immunity in esophageal squamous cell carcinoma with pathologic non-complete response to neoadjuvant chemoimmunotherapy

Wo, Y., Lu, T., Yang, Z., Li, X., Wang, Z., Peng, Y., Shen, X., Hou, F., Jiao, W., & Sun, Y. (2026) · Experimental Hematology and Oncology · doi:10.1186/s40164-026-00748-6 · Cited by 4

Reshaping the colorectal cancer immune microenvironment: insights from single-cell and spatial omics

Zhang, S., Fu, Q., Yuan, X., Wang, S., Liu, C., Zhang, C., (70818), B. L., & Gong, Y. (2026) · Cancer Cell International · doi:10.1186/s12935-026-04245-y · Cited by 4

Development of a Classifier for Metabolic Subtypes of Nasopharyngeal Carcinoma to Guide Personalized Immunotherapy Strategies: Biomarker Analysis of the Phase III CONTINUUM and DIPPER Trials

Huang, S.-W., Liang, Y., Tao, Y., Li, W., Zhou, G., Mao, Y., Guo, R., Chen, L., Xu, S., Liu, X., et al. (2026) · Journal of Clinical Oncology · doi:10.1200/jco-25-02111 · Cited by 4

Molecular insights into early malignant transition of hepatocellular carcinoma

ZHANG, Z., li, H., Chen, L., Lu, T., Shentu, X., Liu, Y., Tang, Z., Ji, S., Qiu, Z., Zou, Y., et al. (2026) · Cancer Cell · doi:10.1016/j.ccell.2026.03.005 · Cited by 4

Melanoma cell states shape spatial tumor-immune ecosystems to dictate the efficacy of anti-PD1 immunotherapy

Pham, F., Dufeu, M., Benboubker, V., Grimont, M., LHORISSON, A., Berthet, J., Donzel, M., Schneider, R., Tonon, L., Doffin, A., et al. (2026) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2025-014030 · Cited by 4

Pan-cancer analysis reveals signal transducer and activator of transcription (STAT) gene family as biomarkers for prognostic prediction and therapeutic guidance

Cheng, M., Liu, Y., Guo, Y., Li, M., Xian, S., Qin, H., Yang, Y., Qian, W., Tang, J., Lu, Y., et al. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1120500 · Cited by 4

Single-cell analyses revealed key tumor-infiltrating myeloid cell subsets associated with clinical outcomes in different subtypes of breast cancer

Wu, D., Chen, S., Liu, Y., Yang, B., Li, R., Jin, F., Yao, F., & Fang, Y. (2023) · Genes & Diseases · doi:10.1016/j.gendis.2023.101185 · Cited by 4

Comprehensive analysis of endoplasmic reticulum stress related signature in head and neck squamous carcinoma

Miao, Y., Chen, Q., Liu, X., Bu, J., Zhang, Z., Liu, T., Yue, Z., Huang, L., Sun, S., Li, H., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-65090-5 · Cited by 4

Single-cell transcriptomic analysis identifies tissue-specific fibroblasts as the main modulators of myeloid cells in peritoneal metastasis of different origin

Gerakopoulos, V., Ramos, C., Müller, C., Walterskirchen, N., Vintila, S., Zotter, C., Ilg, M., Pap, A., Riss, S., Bergmann, M. M., et al. (2025) · Cancer Letters · doi:10.1016/j.canlet.2025.217678 · Cited by 4

Single-cell transcriptomic analysis reveals prognosis-related stromal signatures that potentiate stratification of patients with extrahepatic cholangiocarcinoma

Chen, N., Hua, R., Yang, Y., Liang, J., Liu, W., Wang, L., Yao, X., Li, A., Long, Y., Feng, R., et al. (2025) · BMC Gastroenterology · doi:10.1186/s12876-025-03829-8 · Cited by 4

SpaLinker identifies phenotype-associated spatial tumor microenvironment features by integrating bulk and spatial sequencing data

Cheng, X., Tang, C., Dong, K., You, Y., Zhao, X., Duan, B., Chen, S., Chuai, G., Zhang, Z., & Liu, Q. (2025) · Cell Genomics · doi:10.1016/j.xgen.2025.100893 · Cited by 4

Prudent application of single-cell RNA sequencing in understanding cellular features and functional phenotypes in cancer studies

Xu, X., & Zhang, Z. (2021) · Chinese Journal of Cancer Research · doi:10.21147/j.issn.1000-9604.2021.06.08 · Cited by 4

Categorization and analysis of 16 computational methods for estimating cell potency from single-cell RNA-seq data

Wang, Q., Zhai, Z., Lian, Q., Song, D., & Li, J. J. (2026) · Cell Systems · doi:10.1016/j.cels.2026.101762 · Cited by 4

Discovery of a new marker to identify myeloid cells associated with metastatic breast tumours

Bokil, A. A., Børkja, M. L. B., Wolowczyk, C., Lamsal, A., Prestvik, W. S., Nonstad, U., Pettersen, K., Andersen, S. B., Bofin, A. M., Bjørkøy, G., et al. (2023) · Cancer Cell International · doi:10.1186/s12935-023-03136-w · Cited by 4

Integrative analysis of single-cell and bulk RNA-sequencing data revealed T cell marker genes based molecular sub-types and a prognostic signature in lung adenocarcinoma

Peng, Y.-L., Dong, Y., Sun, Q., Zhang, Y., Zhou, X., Li, X., Ma, Y., Liu, X., Li, R., Guo, F., et al. (2024) · Scientific Reports · doi:10.1038/s41598-023-50787-w · Cited by 4

Identification and Characterization of Prognostic Macrophage Subpopulations for Human Esophageal Carcinoma

Li, P., Gao, X., Huang, D., & Gu, X. (2024) · Current Medicinal Chemistry · doi:10.2174/0109298673284207240108105724 · Cited by 4

Single-Cell Phylogenetic Tracing Maps the Landscape of Human Tumor Immune Cell Plasticity Driven by Microenvironment Factors-Mediated Epigenetic ReprogrammingPreprint

Wei, C., Dong, L., Xiong, S., Tang, Y., Yu, P., Liu, W., & Cheng, L. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.28.538645 · Cited by 4

GenoHoption: Bridging Gene Network Graphs and Single-Cell Foundation Models

Cheng, J., Li, J., Yang, K., Shen, H., & Yuan, Y. (2024) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm62325.2024.10822153 · Cited by 3

Scupa: single-cell unified polarization assessment of immune cells using the single-cell foundation model

Liu, W., & Zhao, Z. (2025) · Bioinformatics · doi:10.1093/bioinformatics/btaf090 · Cited by 3

Loss of survivorship in nasopharyngeal carcinoma attributable to fine particulate matter and its constituents

Lin, X., Lin, Y.-C., Jin, Y., Hu, W., Jiang, J., Tian, T., Guo, T., Li, Z., Chen, S., Sun, H., et al. (2025) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2025.118041 · Cited by 3

Macrophages foster anti-tumor immunity by ZEB1-dependent cytotoxic T cell chemoattraction

Fuchs, K., D’Avanzo, E., Armstark, I., van Roey, R., Ezquerra, A. C., Bindel, N., Siebenkäs, K., Hajjaj, Y., Liguori, R., Ferrazzi, F., et al. (2025) · Communications Biology · doi:10.1038/s42003-025-08339-7 · Cited by 3

Bioinformatic analysis and retrospective clinical study identifying DNAJB4 as a pan-cancer biomarker with a highlight on kidney cancer

Chu, C., Lu, B., Fu, W., Li, M., Dong, K., Lyu, D., Yao, Y., Li, Y., Liu, Y., Pan, X., et al. (2025) · Clinical and Experimental Medicine · doi:10.1007/s10238-025-01806-9 · Cited by 3

Immunological dynamics in orthotopic compared with subcutaneous murine models of HPV-positive oropharyngeal cancer

Mao, M., Qiu, K., Feng, L., Song, Y., Rao, Y., Li, S., Cheng, D., Shao, X., Jiang, C., You, S., et al. (2025) · Disease Models & Mechanisms · doi:10.1242/dmm.052311 · Cited by 3

Macrophage marker gene-driven prognostic models for esophageal cancer: integrating multi-omics analysis and therapeutic strategies

Li, Z., Wu, H., Wei, C., Jia, Y., Zhao, W., Feng, X., Bian, F., Zhang, P., Liao, Q., Pan, Z., et al. (2025) · 3 Biotech · doi:10.1007/s13205-025-04452-w · Cited by 3

High mesothelin expression is associated with low cytotoxic T cell infiltration in pancreatic cancer

Liang, O., White, A. L., Fielder, T., Shin, J., Sagnella, S. M., Schmitz, U., & Yeo, D. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1651687 · Cited by 3

Multi-omics dissection of high TWAS-active endothelial pathogenesis in pulmonary arterial hypertension: bridging single-cell heterogeneity, machine learning-driven biomarkers, and developmental reprogramming

Li, Z., Li, H., Qiao, W., Yu, S., Fan, B., Yang, M., Zhou, L., Qiu, F., Wu, Z., & Wang, J. (2025) · International Journal of Surgery · doi:10.1097/js9.0000000000003601 · Cited by 3

Immune archetypes TIME classification system for nasopharyngeal carcinoma: A new direction for precision immunotherapy

Lu, F., Bai, X., Lv, Z., & Zhang, W. (2025) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer · doi:10.1016/j.bbcan.2025.189487 · Cited by 3

Targeting Mast Cell Activation and MIF‐Mediated Remodelling Enhances Chemotherapy Response in Pancreatic Cancer

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Construction of a prognostic model for nasopharyngeal carcinoma based on serum exosomal circular RNAs and analysis of immune microenvironment

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