The NSCLC immunotherapy response predicted by tumor-infiltrating T cells via a non-invasive radiomic approach
Our empirical evidence reveals that patients with substantial CD8+ T cell infiltration experience a markedly improved PFS compared with those with minimal infiltration, asserting the status of the CD8+ T cell as an independent prognosticator of PFS in the context of immunotherapy. Although CD8+ TRM cells demonstrated the greatest predictive accuracy for immunotherapy response, their predictive strength for PFS was marginally surpassed by that of CD8+ T cells. These insights advocate for the application of the proposed non-invasive radiomic model, which utilizes TIME analysis, as a reliable predictor for immunotherapy outcomes and PFS in NSCLC patients.
Authors
- Fan Yang (ORCID: https://orcid.org/0000-0002-1044-7821)
- Wenshan Li (ORCID: https://orcid.org/0000-0003-2572-4227)
- Ying Chai (ORCID: https://orcid.org/0000-0002-4179-050X)
- Yongyuan Chen (ORCID: https://orcid.org/0009-0005-2243-8438)
- Pin Wu (ORCID: https://orcid.org/0000-0002-0472-1425)
- Yanbin Tan (ORCID: https://orcid.org/0000-0001-6948-6692)
- Fei Dong (ORCID: https://orcid.org/0000-0003-3769-0247)
- Jie Min (ORCID: https://orcid.org/0000-0002-7629-5541)
- Yimin Wu
Institutions
- Second Affiliated Hospital of Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2024-09-09
- DOI
- https://doi.org/10.3389/fimmu.2024.1379812
- Citations
- 8
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 3.23
Funders
- National Natural Science Foundation of China
- Zhejiang University
- Fundamental Research Funds for the Central Universities
- Natural Science Foundation of Zhejiang Province