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Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma.
Cell ( IF 45.5 ) Pub Date : 2020-07-09 , DOI: 10.1016/j.cell.2020.06.013
Michael A Gillette 1 , Shankha Satpathy 2 , Song Cao 3 , Saravana M Dhanasekaran 4 , Suhas V Vasaikar 5 , Karsten Krug 2 , Francesca Petralia 6 , Yize Li 3 , Wen-Wei Liang 3 , Boris Reva 6 , Azra Krek 6 , Jiayi Ji 7 , Xiaoyu Song 7 , Wenke Liu 8 , Runyu Hong 8 , Lijun Yao 3 , Lili Blumenberg 9 , Sara R Savage 10 , Michael C Wendl 3 , Bo Wen 10 , Kai Li 10 , Lauren C Tang 11 , Melanie A MacMullan 12 , Shayan C Avanessian 2 , M Harry Kane 2 , Chelsea J Newton 13 , MacIntosh Cornwell 9 , Ramani B Kothadia 2 , Weiping Ma 6 , Seungyeul Yoo 6 , Rahul Mannan 4 , Pankaj Vats 4 , Chandan Kumar-Sinha 4 , Emily A Kawaler 8 , Tatiana Omelchenko 14 , Antonio Colaprico 15 , Yifat Geffen 2 , Yosef E Maruvka 2 , Felipe da Veiga Leprevost 4 , Maciej Wiznerowicz 16 , Zeynep H Gümüş 6 , Rajwanth R Veluswamy 17 , Galen Hostetter 13 , David I Heiman 2 , Matthew A Wyczalkowski 3 , Tara Hiltke 18 , Mehdi Mesri 18 , Christopher R Kinsinger 18 , Emily S Boja 18 , Gilbert S Omenn 19 , Arul M Chinnaiyan 4 , Henry Rodriguez 18 , Qing Kay Li 20 , Scott D Jewell 13 , Mathangi Thiagarajan 21 , Gad Getz 2 , Bing Zhang 10 , David Fenyö 8 , Kelly V Ruggles 9 , Marcin P Cieslik 4 , Ana I Robles 18 , Karl R Clauser 2 , Ramaswamy Govindan 22 , Pei Wang 6 , Alexey I Nesvizhskii 23 , Li Ding 3 , D R Mani 2 , Steven A Carr 2 ,
Affiliation  

To explore the biology of lung adenocarcinoma (LUAD) and identify new therapeutic opportunities, we performed comprehensive proteogenomic characterization of 110 tumors and 101 matched normal adjacent tissues (NATs) incorporating genomics, epigenomics, deep-scale proteomics, phosphoproteomics, and acetylproteomics. Multi-omics clustering revealed four subgroups defined by key driver mutations, country, and gender. Proteomic and phosphoproteomic data illuminated biology downstream of copy number aberrations, somatic mutations, and fusions and identified therapeutic vulnerabilities associated with driver events involving KRAS, EGFR, and ALK. Immune subtyping revealed a complex landscape, reinforced the association of STK11 with immune-cold behavior, and underscored a potential immunosuppressive role of neutrophil degranulation. Smoking-associated LUADs showed correlation with other environmental exposure signatures and a field effect in NATs. Matched NATs allowed identification of differentially expressed proteins with potential diagnostic and therapeutic utility. This proteogenomics dataset represents a unique public resource for researchers and clinicians seeking to better understand and treat lung adenocarcinomas.



中文翻译:


蛋白质基因组学特征揭示了肺腺癌的治疗脆弱性。



为了探索肺腺癌 (LUAD) 的生物学特性并确定新的治疗机会,我们对 110 例肿瘤和 101 例匹配的正常邻组织 (NAT) 进行了全面的蛋白质基因组学表征,并结合了基因组学、表观基因组学、深度蛋白质组学、磷酸化蛋白质组学和乙酰蛋白质组学。多组学聚类揭示了由关键驱动突变、国家和性别定义的四个亚组。蛋白质组学和磷酸化蛋白质组学数据阐明了拷贝数畸变、体细胞突变和融合下游的生物学,并确定了与涉及 KRAS、EGFRALK 的驱动事件相关的治疗脆弱性。免疫亚型揭示了复杂的景观,加强了 STK11 与免疫感冒行为的关联,并强调了中性粒细胞脱颗粒的潜在免疫抑制作用。吸烟相关的 LUAD 显示与其他环境暴露特征和 NAT 中的场效应相关。匹配的 NAT 可以鉴定具有潜在诊断和治疗效用的差异表达蛋白。该蛋白质基因组学数据集为寻求更好地了解和治疗肺腺癌的研究人员和临床医生提供了独特的公共资源。

更新日期:2020-07-09
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