Machine learning identifies clinical tumor mutation landscape pathways of resistance to checkpoint inhibitor therapy in NSCLC.

Fomin V, So WV, Barbieri RA, Hiller-Bittrolff K, Koletou E, Tu T, Gomes B, Cai J, Charo J

DOI: 10.1136/jitc-2024-009092
Published: 2025 Mar 3
Container: Journal for immunotherapy of cancer
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1136/jitc-2024-009092,
  title = {Machine learning identifies clinical tumor mutation landscape pathways of resistance to checkpoint inhibitor therapy in NSCLC.},
  author = {Fomin V and So WV and Barbieri RA and Hiller-Bittrolff K and Koletou E and Tu T and Gomes B and Cai J and Charo J},
  year = {2025},
  journal = {Journal for immunotherapy of cancer},
  doi = {10.1136/jitc-2024-009092},
  url = {https://doi.org/10.1136/jitc-2024-009092}
}

RIS

TY  - JOUR
TI  - Machine learning identifies clinical tumor mutation landscape pathways of resistance to checkpoint inhibitor therapy in NSCLC.
AU  - Fomin V
AU  - So WV
AU  - Barbieri RA
AU  - Hiller-Bittrolff K
AU  - Koletou E
AU  - Tu T
AU  - Gomes B
AU  - Cai J
AU  - Charo J
PY  - 2025
JO  - Journal for immunotherapy of cancer
DO  - 10.1136/jitc-2024-009092
UR  - https://doi.org/10.1136/jitc-2024-009092
ER  -

APA

V, F., WV, S., RA, B., K, H., E, K., T, T., B, G., J, C., & J, C. (2025). Machine learning identifies clinical tumor mutation landscape pathways of resistance to checkpoint inhibitor therapy in NSCLC.. Journal for immunotherapy of cancer. https://doi.org/10.1136/jitc-2024-009092

Source records

pubmed · retrieved 2026-09-26T06:01:22.715Z
europe-pmc · retrieved 2026-09-26T06:01:22.738Z