| Autor: |
Shaoqiu Chen, Fangfang Liu, Yuanyuan Fu, Chris K. Deng, Jeffrey A. Borgia, Abdul-Ghani Ayman, Masaki Nasu, Mayumi Jijiwa, Hua Yang, Ting Gong, Junlong Wang, Zhougui Ling, Xiaoyan Wang, Hongwei Wang, Qian Chu, Youping Deng |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Molecular Cancer, Vol 23, Iss 1, Pp 1-5 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1476-4598 |
| DOI: |
10.1186/s12943-024-02160-2 |
| Popis: |
Abstract Background Immune checkpoint inhibitors (ICIs) have revolutionized the treatment landscape for non-small cell lung cancer (NSCLC). The variability in patient responses necessitates a blood-based, multi-cohort gene signature to predict ICI response in NSCLC. Methods We performed transcriptomic profiling of peripheral blood mononuclear cell (PBMC) and buffy coat (BC) samples from three independent cohorts of NSCLC patients treated with ICIs: a retrospective cohort (PMBCR, n = 59), a retrospective validation cohort (BC, n = 44), and a prospective validation cohort (PBMCP, n = 42). We identified a 5-gene signature (UQCRB, NDUFA3, CDKN2D, FMNL1-DT, and APOL3) predictive of ICI response and validated its clinical utility in the prospective PBMCP cohort. Response was evaluated using RECIST criteria, and patients were followed up for progression-free survival (PFS) and overall survival (OS). Results In the prospective PBMCP cohort, the 5-gene signature demonstrated high accuracy in stratifying patients into responders and non-responders (AUC = 0.89, 95% CI: 0.80–0.99). Predicted responders exhibited significantly longer PFS compared to predicted non-responders (median: 13.8 months vs. 4.2 months, HR = 0.21, 95% CI: 0.07–0.58, p = 0.005). Conclusion Our study confirms a 5-gene signature as a key biomarker for ICI response in NSCLC, enhancing treatment precision. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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