EDITORIAL
Published on 03 Dec 2024
Editorial: Investigating tumor immunotherapy responses in lung cancer using deep learning
doi 10.3389/fimmu.2024.1529949
- 628 views
- Frontiers in Immunology
- Cancer Immunity and Immunotherapy
- Research Topics
- Investigating tumor immunotherapy responses in lung cancer using deep learning
Investigating tumor immunotherapy responses in lung cancer using deep learning
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Articles
ORIGINAL RESEARCH
Published on 06 Nov 2024
Association of artificial intelligence-based immunoscore with the efficacy of chemoimmunotherapy in patients with advanced non-squamous non-small cell lung cancer: a multicentre retrospective study
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CASE REPORT
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Case report: Immune checkpoint inhibitor-induced paraneoplastic neurological syndrome in two patients: a case series
doi 10.3389/fonc.2024.1404829
- 860 views
- 1 citation
ORIGINAL RESEARCH
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Explore the expression of mitochondria-related genes to construct prognostic risk model for ovarian cancer and validate it, so as to provide optimized treatment for ovarian cancer
doi 10.3389/fimmu.2024.1458264
- 992 views
- 1 citation
REVIEW
Published on 09 Oct 2024
Targeting STING signaling for the optimal cancer immunotherapy
doi 10.3389/fimmu.2024.1482738
- 1,642 views
- 1 citation
REVIEW
Published on 22 Aug 2024
Applications of CT-based radiomics for the prediction of immune checkpoint markers and immunotherapeutic outcomes in non-small cell lung cancer
doi 10.3389/fimmu.2024.1434171
- 2,801 views
- 1 citation
CASE REPORT
Published on 29 Jul 2024
Sequential severe immune-related adverse events induced by PD-1 inhibitor: a case report and literature review
doi 10.3389/fonc.2024.1391698
- 833 views
- 1 citation
ORIGINAL RESEARCH
Published on 26 Apr 2024
Prognostic implications of STK11 with different mutation status and its relationship with tumor-infiltrating immune cells in non-small cell lung cancer
doi 10.3389/fimmu.2024.1387896
- 2,236 views
- 3 citations
Published in
Frontiers in Immunology
Cancer Immunity and Immunotherapy
Participating Journals
Frontiers in Oncology
- 3.5 impact factor
- 6.2 citescore