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小细胞肺癌的蛋白质基因组特征揭示生物学见解和亚型特异性治疗策略
作者:小柯机器人 发布时间:2024/1/7 21:00:33

近日,同济大学张鹏等研究人员合作发现,小细胞肺癌的蛋白质基因组特征揭示生物学见解和亚型特异性治疗策略。这一研究成果于2024年1月4日发表在国际学术期刊《细胞》上。

研究人员利用112名接受手术切除的未经治疗患者的配对肿瘤和邻近肺组织,对小细胞肺癌(SCLC)进行了全面的蛋白质基因组学鉴定。综合多组学分析显示了基因畸变下游的癌症生物学特性,并突出了FAT1突变、RB1缺失和5q染色体缺失的致癌作用。研究发现了两个预后生物标志物——HMGB3和CASP10。HMGB3的过表达通过细胞连接相关基因的转录调控促进了SCLC细胞的迁移。

免疫图谱表征揭示了ZFHX3突变与高免疫浸润之间的关联,并强调了DNA损伤应答活性升高通过抑制cGAS-STING通路可能起到的免疫抑制作用。多组学聚类分析确定了具有亚型特异性治疗脆弱性的四种亚型。基于细胞系和患者来源异种移植的药物试验验证了多组学亚型预测的特异性治疗反应。

这项研究为更好地了解SCLC生物学和改善临床实践提供了宝贵的资源和见解。

附:英文原文

Title: Proteogenomic characterization of small cell lung cancer identifies biological insights and subtype-specific therapeutic strategies

Author: Qian Liu, Jing Zhang, Chenchen Guo, Mengcheng Wang, Chenfei Wang, Yilv Yan, Liangdong Sun, Di Wang, Lele Zhang, Huansha Yu, Likun Hou, Chunyan Wu, Yuming Zhu, Gening Jiang, Hongwen Zhu, Yanting Zhou, Shanhua Fang, Tengfei Zhang, Liang Hu, Junqiang Li, Yansheng Liu, Hui Zhang, Bing Zhang, Li Ding, Ana I. Robles, Henry Rodriguez, Daming Gao, Hongbin Ji, Hu Zhou, Peng Zhang

Issue&Volume: 2024/01/04

Abstract: We performed comprehensive proteogenomic characterization of small cell lung cancer(SCLC) using paired tumors and adjacent lung tissues from 112 treatment-naive patientswho underwent surgical resection. Integrated multi-omics analysis illustrated cancerbiology downstream of genetic aberrations and highlighted oncogenic roles of FAT1 mutation, RB1 deletion, and chromosome 5q loss. Two prognostic biomarkers, HMGB3 and CASP10, wereidentified. Overexpression of HMGB3 promoted SCLC cell migration via transcriptionalregulation of cell junction-related genes. Immune landscape characterization revealedan association between ZFHX3 mutation and high immune infiltration and underscored a potential immunosuppressiverole of elevated DNA damage response activity via inhibition of the cGAS-STING pathway.Multi-omics clustering identified four subtypes with subtype-specific therapeuticvulnerabilities. Cell line and patient-derived xenograft-based drug tests validatedthe specific therapeutic responses predicted by multi-omics subtyping. This studyprovides a valuable resource as well as insights to better understand SCLC biologyand improve clinical practice.

DOI: 10.1016/j.cell.2023.12.004

Source: https://www.cell.com/cell/fulltext/S0092-8674(23)01335-1

期刊信息
Cell:《细胞》,创刊于1974年。隶属于细胞出版社,最新IF:66.85
官方网址:https://www.cell.com/