We aimed to investigate the genomic and immune microenvironmental characteristics and their prognostic value in limited-stage small cell lung cancer (SCLC). Whole exome sequencing and multiplex immunofluorescence analysis were conducted on 38 patients diagnosed with limited-stage SCLC. The two most frequently mutated cancer-related genes observed were RB1 (73.68%) and TP53 (63.16%). However, none of the cancer-related genes, including RB1 and TP53, were associated with prognosis. Furthermore, genomic factors such as tumor mutation burden, copy number instability, and mutant-allele tumor heterogeneity were unrelated to prognosis. Approximately 52.63% (20/38) of cases exhibited PD-L1 expression (combined positive scoreâ>â1). The average percentage of CD8-positive tumor-infiltrating lymphocytes (TILs) was 3.27%, with a range spanning from 0.04 to 18.96%. Survival analyses showed that PD-L1 positivity, a high proportion of CD8-positive TILs, and wild-type PI3K pathway were significantly associated with better survival. A predictive prognostic model was further developed based on these three biomarkers, resulting in more accurate stratification of patients according to disease-free survival (DFS, hazard ratio (HR)â=â2.020, Pâ<â0.001) and overall survival (OS, HRâ=â2.344, Pâ<â0.001). Moreover, PD-L1 negative patients who did not undergo adjuvant chemotherapy exhibited significantly improved OS (Pâ=â0.029) and a favorable trend in DFS (Pâ=â0.053) compared to those who underwent adjuvant chemotherapy. In conclusion, this study analyzed the genomic and immune microenvironment characteristics of limited-stage SCLC and constructed a prognostic model based on PD-L1 expression, CD8-positive TILs, and PI3K pathway mutation, which may potentially contribute to the clinical management of limited-stage SCLC. Clinical trial number: Not applicable.
Genomic and immunological profiling reveals novel prognostic biomarkers for limited-stage small cell lung cancer.
基因组和免疫学分析揭示了局限期小细胞肺癌的新型预后生物标志物
阅读:9
作者:Li Ye, Ma Xiaolong, Wan Zhiyi, Bao Pengfei, Zhang Enli, Liu Lihua, Jiao Shunchang, Sun Shengjie
| 期刊: | Discover Oncology | 影响因子: | 2.900 |
| 时间: | 2025 | 起止号: | 2025 Jun 20; 16(1):1170 |
| doi: | 10.1007/s12672-025-02925-1 | 研究方向: | 细胞生物学 |
| 疾病类型: | 肺癌 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
