Proteogenomic Characterization Reveals Estrogen Signaling as a Target for Never-Smoker Lung Adenocarcinoma Patients without EGFR or ALK Alterations

Author:

Park Seung-Jin12ORCID,Ju Shinyeong3ORCID,Goh Sung-Ho4ORCID,Yoon Byoung-Ha15ORCID,Park Jong-Lyul1ORCID,Kim Jeong-Hwan1ORCID,Lee Seonjeong36ORCID,Lee Sang-Jin4ORCID,Kwon Yumi3ORCID,Lee Wonyeop4ORCID,Park Kyung Chan12ORCID,Lee Geon Kook4ORCID,Park Seog Yun4ORCID,Kim Sunshin4ORCID,Kim Seon-Young125ORCID,Han Ji-Youn4ORCID,Lee Cheolju36ORCID

Affiliation:

1. 1Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.

2. 2Department of Bioscience, University of Science and Technology (UST), Daejeon, Republic of Korea.

3. 3Chemical and Biological Integrative Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea.

4. 4National Cancer Center, Goyang, Republic of Korea.

5. 5Korea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.

6. 6Division of Bio-Medical Science and Technology, KIST School, University of Science and Technology, Seoul, Republic of Korea.

Abstract

Abstract Never-smoker lung adenocarcinoma (NSLA) is prevalent in Asian populations, particularly in women. EGFR mutations and anaplastic lymphoma kinase (ALK) fusions are major genetic alterations observed in NSLA, and NSLA with these alterations have been well studied and can be treated with targeted therapies. To provide insights into the molecular profile of NSLA without EGFR and ALK alterations (NENA), we selected 141 NSLA tissues and performed proteogenomic characterization, including whole genome sequencing (WGS), transcriptomic, methylation EPIC array, total proteomic, and phosphoproteomic analyses. Forty patients with NSLA harboring EGFR and ALK alterations and seven patients with NENA with microsatellite instability were excluded. Genome analysis revealed that TP53 (25%), KRAS (22%), and SETD2 (11%) mutations and ROS1 fusions (14%) were the most frequent genetic alterations in NENA patients. Proteogenomic impact analysis revealed that STK11 and ERBB2 somatic mutations had broad effects on cancer-associated genes in NENA. DNA copy number alteration analysis identified 22 prognostic proteins that influenced transcriptomic and proteomic changes. Gene set enrichment analysis revealed estrogen signaling as the key pathway activated in NENA. Increased estrogen signaling was associated with proteogenomic alterations, such as copy number deletions in chromosomes 14 and 21, STK11 mutation, and DNA hypomethylation of LLGL2 and ST14. Finally, saracatinib, an Src inhibitor, was identified as a potential drug for targeting activated estrogen signaling in NENA and was experimentally validated in vitro. Collectively, this study enhanced our understanding of NENA NSLA by elucidating the proteogenomic landscape and proposed saracatinib as a potential treatment for this patient population that lacks effective targeted therapies. Significance: The proteogenomic landscape in never-smoker lung cancer without known driver mutations reveals prognostic proteins and enhanced estrogen signaling that can be targeted as a potential therapeutic strategy to improve patient outcomes.

Funder

National Research Foundation of Korea

Korea Research Institute of Bioscience and Biotechnology

Publisher

American Association for Cancer Research (AACR)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3