Transcriptomic analysis of transformed small-cell lung cancer from EGFR-mutated lung adenocarcinoma reveals distinct subgroups and precision therapy opportunities.

IF 9.5 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Hao Sun, Chan-Yuan Zhang, Xiu-Hao Zhang, Zai-Xian Tai, Jun-Wei Su, Xiao-Cheng Lin, Shi-Ling Zhang, Yu-Fa Li, Chao Zhang, Miao Cai, Xu-Chao Zhang, Hua-Jun Chen, Qing Zhou, Yi-Long Wu, Wei-Neng Feng, Jin-Ji Yang
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引用次数: 0

Abstract

Background: Small-cell lung cancer (SCLC) transformation is one of the major mechanisms of resistance to Epidermal Growth Factor Receptor tyrosine kinase inhibitors (EGFR-TKIs). Chemotherapy is typically the recommended treatment for transformed SCLC (T-SCLC), similar to primary SCLC. However, the benefits of chemotherapy alone are minimal. Prior research highlights differences between the biological traits of T-SCLC and primary SCLC or EGFR-mutated lung adenocarcinoma (LUAD). This study aims to elucidate the molecular characteristics of T-SCLC and identify potential treatment modalities.

Methods: We retrospectively collected tissue samples from LUAD, T-SCLC post-EGFR-TKI resistance, and primary SCLC. Genomics, transcriptomics, and proteomics were performed to clarify the differences between T-SCLC, LUAD, and primary SCLC. Hierarchical clustering analysis was then used to categorize the molecular subtype of T-SCLC, followed by a survival analysis based on these subtypes.

Results: A study involving 61 patients investigated differences between LUAD, SCLC, and primary SCLC. RNA sequencing revealed distinct gene expression variations, particularly up-regulation in PPM1E, INSM1, and KCNC1 genes in T-SCLC. Pathway analysis linked T-SCLC to the cell cycle and neural differentiation. By conducting Hierarchical clustering analysis on RNA-seq data, the entire population can be categorized into two distinct groups. While certain T-SCLC showed similarities and differences compared to SCLC, with subtypes: LUAD-like and Non-LUAD-like. Notably, the LUAD-like subtype had significantly higher NKX2-1 expression (mean 371.8 vs. 41.8, P < 0.0001). T-SCLC treatment approaches were categorized into matched and unmatched groups, delineated by the alignment of specific therapies with corresponding pathologies. The matched group (13 cases) exhibited a significantly prolonged median progression-free survival compared to the unmatched group (10 cases) (5.4 months vs. 3.6 months, P = 0.02).

Conclusions: T-SCLC exhibits marked molecular distinctiveness, setting it apart not only from LUAD but also from classical SCLC. This distinction extends to its classification into two discernible molecular subtypes: LUAD-like and Non-LUAD-like. Customizing therapeutic protocols to align with these specific subtypes have the potential to identify the most appropriate treatment for T-SCLC.

egfr突变肺腺癌转化小细胞肺癌的转录组学分析揭示了不同的亚组和精确治疗机会。
背景:小细胞肺癌(SCLC)转化是表皮生长因子受体酪氨酸激酶抑制剂(EGFR-TKIs)耐药的主要机制之一。化疗是转化型SCLC (T-SCLC)的典型推荐治疗方法,类似于原发性SCLC。然而,单独化疗的好处是微乎其微的。先前的研究强调了T-SCLC与原发性SCLC或egfr突变肺腺癌(LUAD)生物学特性之间的差异。本研究旨在阐明T-SCLC的分子特征并确定潜在的治疗方式。方法:我们回顾性收集LUAD、egfr - tki耐药后T-SCLC和原发性SCLC的组织样本。通过基因组学、转录组学和蛋白质组学来阐明T-SCLC、LUAD和原发性SCLC之间的差异。然后使用分层聚类分析对T-SCLC的分子亚型进行分类,然后根据这些亚型进行生存分析。结果:一项涉及61例患者的研究调查了LUAD、SCLC和原发性SCLC之间的差异。RNA测序揭示了T-SCLC中明显的基因表达变化,尤其是PPM1E、INSM1和KCNC1基因的上调。通路分析将T-SCLC与细胞周期和神经分化联系起来。通过对RNA-seq数据进行分层聚类分析,可以将整个种群分为两个不同的群体。而与SCLC相比,某些T-SCLC表现出相似性和差异性,亚型:luad样和非luad样。值得注意的是,LUAD样亚型的NKX2-1表达量显著高于LUAD样亚型(平均371.8比41.8,P)。结论:T-SCLC表现出明显的分子特异性,不仅与LUAD不同,而且与经典SCLC也不同。这种区别延伸到它的分类分为两个可识别的分子亚型:luad样和非luad样。根据这些特定亚型定制治疗方案有可能确定最适合T-SCLC的治疗方法。
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
Biomarker Research
Biomarker Research Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
15.80
自引率
1.80%
发文量
80
审稿时长
10 weeks
期刊介绍: Biomarker Research, an open-access, peer-reviewed journal, covers all aspects of biomarker investigation. It seeks to publish original discoveries, novel concepts, commentaries, and reviews across various biomedical disciplines. The field of biomarker research has progressed significantly with the rise of personalized medicine and individual health. Biomarkers play a crucial role in drug discovery and development, as well as in disease diagnosis, treatment, prognosis, and prevention, particularly in the genome era.
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