| Autor: |
Wei Xu, Li Zhang, Ying Wang, Ke Ma, Yunpeng Yang, Yuhui Huang, Peng Fan, Liang Sun, Bo Zhu, Rakesh K. Jain, Zhenhua Liu, Qingzhu Jia, Junhui Wang, Jiya Sun, Liansai Sun, Hongtai Shi, Songbing Qin |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
BMJ Oncology, Vol 3, Iss 1 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2752-7948 |
| DOI: |
10.1136/bmjonc-2024-000473 |
| Popis: |
Objective Current biomarkers for predicting immunotherapy response in non-small-cell lung cancer (NSCLC) are derived from invasive procedures with limited predictive accuracy. Thus, identifying a non-invasive predictive biomarker would improve patient stratification and precision immunotherapy.Methods and analysis In this retrospective multicohort study, the discovery cohort included 205 NSCLC patients screened from ORIENT-11 and an external validation (EV) cohort included 99 real-world NSCLC patients. The ‘onion-mode segmentation’ method was developed to extract ‘onion-mode perfusion’ (OMP) from contrast-enhanced CT images. The predictive performance of OMP or its combination with the PD-L1 Tumour Proportion Score (TPS) was evaluated by the area under the curve (AUC).Results High baseline OMP was associated with significantly longer survival and predicted patient response to combination anti-PD-(L)1 therapy in the discovery and EV cohorts. OMP complemented the PD-L1 TPS with superior predictive sensitivity (p=0.02). In the PD-L1 TPS |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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