Whole-section digital analysis of immune profiles in surgically resected small cell lung carcinoma and their associations with molecular subtypes.

IF 4 2区 医学 Q2 ONCOLOGY
Translational lung cancer research Pub Date : 2025-02-28 Epub Date: 2025-02-27 DOI:10.21037/tlcr-24-924
Yanli Zhu, Jianghua Wu, Haiyue Wang, Kaiwen Chi, Xinting Diao, Minglei Zhuo, Dongmei Lin
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Abstract

Background: The molecular subtype-specific features of the tumor immune microenvironment (TIME) in small cell lung carcinoma (SCLC) remain poorly understood. We aimed to analyze the immune profiles in surgically resected SCLC and their associations with molecular subtypes.

Methods: Tumor samples from 83 treatment-naive SCLC patients who underwent surgical resection were analyzed. The protein expression of subtype-defining markers (ASCL1, NEUROD1, POU2F3, and YAP1) and nine immune-related markers were assessed using whole-section immunohistochemistry. Digital image analysis was employed for precise quantification of immune cell infiltrates and distributions. The findings were subsequently correlated with clinicopathological parameters and patient prognoses.

Results: Unsupervised hierarchical clustering categorized the tumors into four molecular subtypes: achaete-scute homologue 1-dominant (ASCL1; SCLC-A, 71.1%, n=59), neuronal differentiation factor 1-dominant (NEUROD1; SCLC-N, 12.1%, n=10), POU class 2 homeobox 3-dominant (POU2F3; SCLC-P, 10.8%, n=9), and quadruple-negative (SCLC-QN, 6.0%, n=5). Expression of major histocompatibility complex class I (MHC I) and class II (MHC II; P=0.02, P=0.02), tumor programmed death-ligand 1 (PD-L1; P=0.006), and an inflamed phenotype characterized by CD8+/CD3+ T cells (P=0.001, P=0.003) were more prominent in SCLC-P tumors compared to other subtypes. Additionally, SCLC-P tumors demonstrated the highest levels of MHC II (P=0.04) and PD-L1 expression on both tumor and stromal cells (P=0.003, P=0.01). The tumor proportion score of PD-L1 positively correlated with tumor expression levels of POU2F3 (rho=0.297, P=0.006) and MHC I (rho=0.239, P=0.03), as well as the combined positive score of PD-L1 (rho=0.222, P=0.04; rho=0.433, P<0.001). Intra-tumoral tertiary lymphoid structures (intra-TLS) and peri-tumoral TLS (peri-TLS) were observed in 60.2% (n=50) and 96.4% (n=80) of patients, respectively. High intra-TLS density was more frequently associated with SCLC-P tumors (P=0.02). Notably, low peri-TLS density and stromal PD-L1 expression were linked to improved overall survival (OS) and progression-free survival (PFS), respectively.

Conclusions: This study highlights the heterogeneity of the TIME across molecular subtypes of SCLC. The SCLC-P subtype and MHC I expression may serve as predictive biomarkers for immunotherapy response, while peri-TLS density and stromal PD-L1 expression might serve as prognostic indicators in resected SCLC.

手术切除的小细胞肺癌免疫图谱的全切片数字分析及其与分子亚型的关系。
背景:小细胞肺癌(SCLC)中肿瘤免疫微环境(TIME)的分子亚型特异性特征尚不清楚。我们的目的是分析手术切除的SCLC的免疫特征及其与分子亚型的关系。方法:对83例接受手术切除的初次治疗的SCLC患者的肿瘤样本进行分析。采用全切片免疫组织化学方法检测亚型定义标志物(ASCL1、NEUROD1、POU2F3和YAP1)和9种免疫相关标志物的蛋白表达。采用数字图像分析精确定量免疫细胞的浸润和分布。这些发现随后与临床病理参数和患者预后相关。结果:无监督分层聚类将肿瘤分为4个分子亚型:无鳞片同源1-显性(ASCL1;SCLC-A, 71.1%, n=59),神经元分化因子1显性(NEUROD1;SCLC-N, 12.1%, n=10), POU2类同源盒3显性(POU2F3;SCLC-P, 10.8%, n=9)和四阴性(SCLC-QN, 6.0%, n=5)。主要组织相容性复合体I类(MHC I)和II类(MHC II)的表达;P=0.02, P=0.02),肿瘤程序性死亡配体1 (PD-L1;P=0.006),与其他亚型相比,SCLC-P肿瘤中以CD8+/CD3+ T细胞为特征的炎症表型(P=0.001, P=0.003)更为突出。此外,SCLC-P肿瘤在肿瘤和基质细胞上的MHC II (P=0.04)和PD-L1表达水平最高(P=0.003, P=0.01)。PD-L1肿瘤比例评分与肿瘤中POU2F3表达水平(rho=0.297, P=0.006)、MHC I表达水平(rho=0.239, P=0.03)以及PD-L1联合阳性评分(rho=0.222, P=0.04;结论:本研究突出了SCLC分子亚型间TIME的异质性。SCLC- p亚型和MHC I表达可作为免疫治疗反应的预测性生物标志物,而tls周围密度和间质PD-L1表达可作为切除SCLC的预后指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
2.50%
发文量
137
期刊介绍: Translational Lung Cancer Research(TLCR, Transl Lung Cancer Res, Print ISSN 2218-6751; Online ISSN 2226-4477) is an international, peer-reviewed, open-access journal, which was founded in March 2012. TLCR is indexed by PubMed/PubMed Central and the Chemical Abstracts Service (CAS) Databases. It is published quarterly the first year, and published bimonthly since February 2013. It provides practical up-to-date information on prevention, early detection, diagnosis, and treatment of lung cancer. Specific areas of its interest include, but not limited to, multimodality therapy, markers, imaging, tumor biology, pathology, chemoprevention, and technical advances related to lung cancer.
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