Decoding Key Regulators in Cancer Immunotherapy and Chemotherapy: Integrating Single-Cell Technologies and Machine Learning

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ORIGINAL RESEARCH

Published on 27 Feb 2026

Decoding the role of macrophage LAP3 in lung cancer – integration of single-cell technologies and machine learning reveals an orchestrating immunometabolic circuit at the tumor-epithelial interface

Yunlong Dong
Xibin Fei
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Xu Chang
Xuanguang Li
Hongjie Zhao
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doi 10.3389/fimmu.2026.1749190

1,359 views

ORIGINAL RESEARCH

Published on 23 Feb 2026

NOTCH3 attenuates cytotoxicity via RBPJ-dependent PVR upregulation to influence immunotherapy outcomes in colorectal cancer

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doi 10.3389/fimmu.2026.1741261

947 views
1 citation

REVIEW

Published on 21 Jan 2026

Recent advances in non-alcoholic steatohepatitis-associated hepatocellular carcinoma: immune cells, metabolic dysregulation, and therapeutic strategies

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doi 10.3389/fonc.2025.1744299

3,268 views

ORIGINAL RESEARCH

Published on 14 Jan 2026

Integrating cuproptosis- and ferroptosis-related gene signatures to predict prognosis, immunotherapy response, and drug sensitivity in patients with skin cutaneous melanoma

Hua Dong
Ying Huang
Jie Shen
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doi 10.3389/fimmu.2025.1742614

1,829 views
1 citation

ORIGINAL RESEARCH

Published on 12 Jan 2026

From multi-omics to functional validation: the PTMRS stratifies TME and positions PDGFRB in CRC biology

Yanhong Liu
Chao Lu
Luchun Hua
Hankun Hao
Qijing Zhang
Zongyou Zou
Jianbin Xiang
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doi 10.3389/fimmu.2025.1728291

1,539 views

ORIGINAL RESEARCH

Published on 06 Jan 2026

Decoding HSP90AA1-driven inflammatory signaling in the uveal melanoma microenvironment: an integrated analysis at single-cell resolution

Yiya Wang
Ziqiu Hu
Min Zhou
Peng Wang

doi 10.3389/fimmu.2025.1730622

1,520 views

ORIGINAL RESEARCH

Published on 18 Dec 2025

Multi-omics profiling unravel the immune landscape diversity by prognostic signatures of immunotherapy response in triple-negative breast cancer

Rong Chai
Ziting Zhang
Zheng Gong
Qi Li
Chunyan Dong

doi 10.3389/fimmu.2025.1735893

3,490 views
2 citations

ORIGINAL RESEARCH

Published on 16 Dec 2025

Machine learning-derived cellular senescence index for predicting prognosis and drug sensitivity in patients with renal cell carcinoma

Le Meng
Haoxun Zhang
Yifan Qiu
Xiangyu Zhu
Xuran Ji
Bowen Wang
Guoling Zhang
Yue Xue
Chunyang Wang

doi 10.3389/fimmu.2025.1727099

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Frontiers in Immunology

Cancer Immunity and Immunotherapy

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Frontiers in Oncology
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Articles

Decoding the role of macrophage LAP3 in lung cancer – integration of single-cell technologies and machine learning reveals an orchestrating immunometabolic circuit at the tumor-epithelial interface

NOTCH3 attenuates cytotoxicity via RBPJ-dependent PVR upregulation to influence immunotherapy outcomes in colorectal cancer

Recent advances in non-alcoholic steatohepatitis-associated hepatocellular carcinoma: immune cells, metabolic dysregulation, and therapeutic strategies

Integrating cuproptosis- and ferroptosis-related gene signatures to predict prognosis, immunotherapy response, and drug sensitivity in patients with skin cutaneous melanoma

From multi-omics to functional validation: the PTMRS stratifies TME and positions PDGFRB in CRC biology

Decoding HSP90AA1-driven inflammatory signaling in the uveal melanoma microenvironment: an integrated analysis at single-cell resolution

Multi-omics profiling unravel the immune landscape diversity by prognostic signatures of immunotherapy response in triple-negative breast cancer

Machine learning-derived cellular senescence index for predicting prognosis and drug sensitivity in patients with renal cell carcinoma

Frontiers in Immunology

Cancer Immunity and Immunotherapy

Other participating journals

Frontiers in Oncology

Cancer Immunity and Immunotherapy