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Proteogenomics of Non-smoking Lung Cancer in East Asia Delineates Molecular Signatures of Pathogenesis and Progression
Author(s) -
YiJu Chen,
Theodoros I. Roumeliotis,
Ya-Hsuan Chang,
Ching-Tai Chen,
ChiaLi Han,
Miao-Hsia Lin,
HueiWen Chen,
GeeChen Chang,
YihLeong Chang,
ChenTu Wu,
MongWei Lin,
Min-Shu Hsieh,
Yutai Wang,
YetRan Chen,
Inge Jonassen,
Fatemeh Zamanzad Ghavidel,
Ze-Shiang Lin,
KuenTyng Lin,
Ching-Wen Chen,
Pei-Yuan Sheu,
Chen-Ting Hung,
Ke-Chieh Huang,
Hao-Chin Yang,
Pei-Yi Lin,
Ta-Chi Yen,
Yi-Wei Lin,
Jen-Hung Wang,
Lovely Raghav,
ChienYu Lin,
Yan-Si Chen,
PeiShan Wu,
Chi-Ting Lai,
Shao-Hsing Weng,
KangYi Su,
Wei Hung Chang,
Pang-Yan Tsai,
Ana I. Robles,
Henry Rodriguez,
YiJing Hsiao,
WenHsin Chang,
Ting-Yi Sung,
JinShing Chen,
SungLiang Yu,
Jyoti S. Choudhary,
HsuanYu Chen,
PanChyr Yang,
YuJu Chen
Publication year - 2020
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2020.06.012
Subject(s) - proteogenomics , biology , apobec , lung cancer , adenocarcinoma , disease , proteomics , bioinformatics , cancer , oncology , genetics , cancer research , computational biology , genomics , pathology , gene , genome , medicine
Lung cancer in East Asia is characterized by a high percentage of never-smokers, early onset and predominant EGFR mutations. To illuminate the molecular phenotype of this demographically distinct disease, we performed a deep comprehensive proteogenomic study on a prospectively collected cohort in Taiwan, representing early stage, predominantly female, non-smoking lung adenocarcinoma. Integrated genomic, proteomic, and phosphoproteomic analysis delineated the demographically distinct molecular attributes and hallmarks of tumor progression. Mutational signature analysis revealed age- and gender-related mutagenesis mechanisms, characterized by high prevalence of APOBEC mutational signature in younger females and over-representation of environmental carcinogen-like mutational signatures in older females. A proteomics-informed classification distinguished the clinical characteristics of early stage patients with EGFR mutations. Furthermore, integrated protein network analysis revealed the cellular remodeling underpinning clinical trajectories and nominated candidate biomarkers for patient stratification and therapeutic intervention. This multi-omic molecular architecture may help develop strategies for management of early stage never-smoker lung adenocarcinoma.

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