ORIGINAL RESEARCH
Accepted on 11 Feb 2026
- Frontiers in Immunology
- Cancer Immunity and Immunotherapy
- Research Topics
- Decoding Key Regulators in Cancer Immunotherapy and Chemotherapy: Integrating Single-Cell Technologies and Machine Learning
Decoding Key Regulators in Cancer Immunotherapy and Chemotherapy: Integrating Single-Cell Technologies and Machine Learning
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Articles
REVIEW
Published on 21 Jan 2026
Recent advances in non-alcoholic steatohepatitis-associated hepatocellular carcinoma: immune cells, metabolic dysregulation, and therapeutic strategies
doi 10.3389/fonc.2025.1744299
- 1,064 views
ORIGINAL RESEARCH
Accepted on 14 Jan 2026
NOTCH3 Attenuates Cytotoxicity via RBPJ-dependent PVR upregulation to Influence Immunotherapy Outcomes in Colorectal Cancer
- 118 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
doi 10.3389/fimmu.2025.1742614
- 869 views
ORIGINAL RESEARCH
Published on 12 Jan 2026
From multi-omics to functional validation: the PTMRS stratifies TME and positions PDGFRB in CRC biology
doi 10.3389/fimmu.2025.1728291
- 783 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
doi 10.3389/fimmu.2025.1730622
- 851 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
doi 10.3389/fimmu.2025.1735893
- 1,877 views
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
doi 10.3389/fimmu.2025.1727099
- 1,433 views
Published in
Frontiers in Immunology
Cancer Immunity and Immunotherapy
Other participating journals
Frontiers in Oncology
- 3.3 impact factor
- 6.9 citescore