TKI resistance related genes in LUAD predict patient prognosis and tumor immune microenvironment with LHX2 as a hub gene

肺腺癌中与酪氨酸激酶抑制剂(TKI)耐药相关的基因可预测患者预后和肿瘤免疫微环境,其中LHX2是关键基因。

阅读:2
作者:Ruohan Huang #,Qi Liang #,Hongya Wang,Huizhu Qian,Renhua Guo

Abstract

Background: Non-small cell lung cancer (NSCLC), particularly lung adenocarcinoma (LUAD), is a leading cause of cancer-related mortality. Osimertinib, a third-generation epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI), improves survival, but acquired resistance remains a major clinical challenge. Methods: Transcriptomic profiles of osimertinib-sensitive and -resistant EGFR-mutant cell lines were analyzed to identify resistance mechanisms. Resistance-associated genes were used to develop a Cox proportional hazards (CoxPH) prognostic model based on The Cancer Genome Atlas (TCGA) data. Immune context and tumor mutational burden (TMB) were compared between risk groups. Core gene expression was validated by reverse transcription quantitative polymerase chain reaction (RT‒qPCR). Functional experiments including Cell Counting Kit-8 (CCK8) and methylthiazolyldiphenyl-tetrazolium bromide (MTT) assays were performed to evaluate the impact of core gene on the proliferative capacities of EGFR-TKI resistance cells. Results: Resistant cells showed gene expression alterations enriched in proliferation (e.g., Wnt) and cell cycle pathways. An 18-gene signature strongly predicted overall survival (concordance index [C-index] = 0.74). High-risk patients exhibited more immunosuppressive microenvironments and higher TMB. Nine genes (GLI2, LHX2, PITX3, MSX1, ANO1, MUC5B, BEST4, SLC46A3, ECEL1P2) were independent prognostic factors, and LHX2 occupied a central position. LHX2 was upregulated in resistant cells, and its knockdown restored osimertinib sensitivity. Conclusion: This study reveals novel genes and mechanisms in osimertinib resistance. The prognostic model stratifies LUAD patients effectively, and LHX2 represents a promising therapeutic target for reversing resistance.

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。