Evidence map›Paper›PMID 40542277›Full record

ArticleDiscover oncology2025

Genomic and immunological profiling reveals novel prognostic biomarkers for limited-stage small cell lung cancer.

Ye Li, Xiaolong Ma, Zhiyi Wan, Pengfei Bao, Enli Zhang, Lihua Liu, Shunchang Jiao, Shengjie Sun

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ye Li *Department of Oncology, The first medical center of Chinese PLA General Hospital, Beijing, 100853, China.
Xiaolong Ma *Executive Office of Chinese PLA General Hospital, Beijing, 100853, China.
Zhiyi Wan *Department of Medicine, Genecast Biotechnology Co., Ltd, Wuxi, 214104, China.
Pengfei BaoDepartment of Information, Medical Supplies Center of PLA General Hospital, Beijing, 100853, China.
Enli ZhangDepartment of Medicine, Genecast Biotechnology Co., Ltd, Wuxi, 214104, China.
Lihua LiuInstitution of Hospital Management, Department of medical innovation and research, Chinese PLA General Hospital, Beijing, 100853, China. liulihua07@yeah.net.
Shunchang JiaoDepartment of Oncology, The first medical center of Chinese PLA General Hospital, Beijing, 100853, China. jiaosc@vip.sina.com.
Shengjie SunDepartment of Oncology, The first medical center of Chinese PLA General Hospital, Beijing, 100853, China. ssjdoctor@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 score > 1). 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) = 2.020, P < 0.001) and overall survival (OS, HR = 2.344, P < 0.001). Moreover, PD-L1 negative patients who did not undergo adjuvant chemotherapy exhibited significantly improved OS (P = 0.029) and a favorable trend in DFS (P = 0.053) 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.

Indexed as

CD8Genomic mutationPD-L1PI3K pathwayPrognostic biomarkerSmall cell lung cancer

Identifiers

PMID40542277
PMCPMC12181571

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