Proteomic Analyses Identify Differentially Expressed Proteins and Pathways Between Low-Risk and High-Risk Subtypes of Early-Stage Lung Adenocarcinoma and Their Prognostic Impacts

被引:13
作者
Zhou, Juntuo [1 ,2 ]
Liu, Bing [1 ]
Li, Zhongwu [3 ]
Li, Yang [4 ]
Chen, Xi [4 ]
Ma, Yuanyuan [1 ]
Yan, Shi [1 ]
Yang, Xin [3 ]
Zhong, Lijun [5 ]
Wu, Nan [1 ]
机构
[1] Peking Univ, Canc Hosp & Inst, Key Lab Carcinogenesis & Translat Res, Minist Educ,Dept Thorac Surg 2, Beijing, Peoples R China
[2] Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing, Peoples R China
[3] Peking Univ, Canc Hosp & Inst, Minist Educ, Key Lab Carcinogenesis & Translat Res,Dept Pathol, Beijing, Peoples R China
[4] Peking Univ, Hlth Sci Ctr, Dept Pathol, Beijing, Peoples R China
[5] Peking Univ, Hlth Sci Ctr, Ctr Med & Hlth Anal, Beijing, Peoples R China
基金
国家重点研发计划; 北京市自然科学基金; 中国国家自然科学基金;
关键词
EXTRACELLULAR-MATRIX; CANCER; CLASSIFICATION; FIBROBLASTS;
D O I
10.1074/mcp.RA120.002384
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The histopathological subtype of lung adenocarcinoma (LUAD) is closely associated with prognosis. Micropapillary or solid predominant LUAD tends to relapse after surgery at an early stage, whereas lepidic pattern shows a favorable outcome. However, the molecular mechanism underlying this phenomenon remains unknown. Here, we recruited 31 lepidic predominant LUADs (LR: low-risk subtype group) and 28 micropapillary or solid predominant LUADs (HR: high-risk subtype group). Tissues of these cases were obtained and label-free quantitative proteomic and bio-informatic analyses were performed. Additionally, prognostic impact of targeted proteins was validated using The Cancer Genome Atlas databases (n = 492) and tissue microarrays composed of early-stage LUADs (n = 228). A total of 192 differentially expressed proteins were identified between tumor tissues of LR and HR and three clusters were identified via hierarchical clustering excluding eight proteins. Cluster 1 (65 proteins) showed a sequential decrease in expression from normal tissues to tumor tissues of LR and then to HR and was predominantly enriched in pathways such as tyrosine metabolism and ECM-receptor interaction, and increased matched mRNA expression of 18 proteins from this cluster predicted favorable prognosis. Cluster 2 (70 proteins) demonstrated a sequential increase in expression from normal tissues to tumor tissues of LR and then to HR and was mainly enriched in pathways such as extracellular organization, DNA replication and cell cycle, and high matched mRNA expression of 25 proteins indicated poor prognosis. Cluster 3 (49 proteins) showed high expression only in LR, with high matched mRNA expression of 20 proteins in this cluster indicating favorable prognosis. Furthermore, high expression of ERO1A and FEN1 at protein level predicted poor prognosis in early-stage LUAD, supporting the mRNA results. In conclusion, we discovered key differentially expressed proteins and pathways between low-risk and high-risk subtypes of early-stage LUAD. Some of these proteins could serve as potential biomarkers in prognostic evaluation.
引用
收藏
页数:15
相关论文
共 37 条
  • [1] Stromal markers of activated tumor associated fibroblasts predict poor survival and are associated with necrosis in non-small cell lung cancer
    Alcaraz, Jordi
    Lluis Carrasco, Josep
    Millares, Laura
    Luis, Iuliana-Cristiana
    Fernandez-Porras, Francisco J.
    Martinez-Romero, Anabel
    Diaz-Valdivia, Natalia
    Sanchez De Cos, Julio
    Rami-Porta, Ramon
    Seijo, Luis
    Ramirez, Josep
    Jose Pajares, Maria
    Reguart, Noemi
    Barreiro, Esther
    Monso, Eduard
    [J]. LUNG CANCER, 2019, 135 : 151 - 160
  • [2] Cancer Genome Atlas Research Network, 2018, Nature, V559, pE12, DOI [10.1038/nature13385, 10.1038/s41586-018-0228-6]
  • [3] Genomic landscape of lung adenocarcinoma in East Asians
    Chen, Jianbin
    Yang, Hechuan
    Teo, Audrey Su Min
    Amer, Lidyana Bte
    Sherbaf, Faranak Ghazi
    Tan, Chu Quan
    Alvarez, Jacob Josiah Santiago
    Lu, Bingxin
    Lim, Jia Qi
    Takano, Angela
    Nahar, Rahul
    Lee, Yin Yeng
    Phual, Cheryl Zi Jin
    Chua, Khi Pin
    Suteja, Lisda
    Chen, Pauline Jieqi
    Chang, Mei Mei
    Koh, Tina Puay Theng
    Ong, Boon-Hean
    Anantham, Devanand
    Hsu, Anne Ann Ling
    Gogna, Apoorva
    Too, Chow Wei
    Aung, Zaw Win
    Lee, Yi Fei
    Wang, Lanying
    Lim, Tony Kiat Hon
    Wilm, Andreas
    Choi, Poh Sum
    Ng, Poh Yong
    Toh, Chee Keong
    Lim, Wan-Teck
    Ma, Siming
    Lim, Bing
    Liu, Jin
    Tam, Wai Leong
    Skanderup, Anders Jacobsen
    Yeong, Joe Poh Sheng
    Tan, Eng-Huat
    Creasy, Caretha L.
    Tan, Daniel Shao Weng
    Hillmer, Axel M.
    Zhai, Weiwei
    [J]. NATURE GENETICS, 2020, 52 (02) : 177 - +
  • [4] Proteogenomics of Non-smoking Lung Cancer in East Asia Delineates Molecular Signatures of Pathogenesis and Progression
    Chen, Yi-Ju
    Roumeliotis, Theodoros, I
    Chang, Ya-Hsuan
    Chen, Ching-Tai
    Han, Chia-Li
    Lin, Miao-Hsia
    Chen, Huei-Wen
    Chang, Gee-Chen
    Chang, Yih-Leong
    Wu, Chen-Tu
    Lin, Mong-Wei
    Hsieh, Min-Shu
    Wang, Yu-Tai
    Chen, Yet-Ran
    Jonassen, Inge
    Ghavidel, Fatemeh Zamanzad
    Lin, Ze-Shiang
    Lin, Kuen-Tyng
    Chen, Ching-Wen
    Sheu, Pei-Yuan
    Hung, Chen-Ting
    Huang, Ke-Chieh
    Yang, Hao-Chin
    Lin, Pei-Yi
    Yen, Ta-Chi
    Lin, Yi-Wei
    Wang, Jen-Hung
    Raghav, Lovely
    Lin, Chien-Yu
    Chen, Yan-Si
    Wu, Pei-Shan
    Lai, Chi-Ting
    Weng, Shao-Hsing
    Su, Kang-Yi
    Chang, Wei-Hung
    Tsai, Pang-Yan
    Robles, Ana, I
    Rodriguez, Henry
    Hsiao, Yi-Jing
    Chang, Wen-Hsin
    Sung, Ting-Yi
    Chen, Jin-Shing
    Yu, Sung-Liang
    Choudhary, Jyoti S.
    Chen, Hsuan-Yu
    Yang, Pan-Chyr
    Chen, Yu-Ju
    [J]. CELL, 2020, 182 (01) : 226 - +
  • [5] TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data
    Colaprico, Antonio
    Silva, Tiago C.
    Olsen, Catharina
    Garofano, Luciano
    Cava, Claudia
    Garolini, Davide
    Sabedot, Thais S.
    Malta, Tathiane M.
    Pagnotta, Stefano M.
    Castiglioni, Isabella
    Ceccarelli, Michele
    Bontempi, Gianluca
    Noushmehr, Houtan
    [J]. NUCLEIC ACIDS RESEARCH, 2016, 44 (08) : e71
  • [6] Molecular Pathways: Connecting Fibrosis and Solid Tumor Metastasis
    Cox, Thomas R.
    Erler, Janine T.
    [J]. CLINICAL CANCER RESEARCH, 2014, 20 (14) : 3637 - 3643
  • [7] The Eighth Edition Lung Cancer Stage Classification
    Detterbeck, Frank C.
    Boffa, Daniel J.
    Kim, Anthony W.
    Tanoue, Lynn T.
    [J]. CHEST, 2017, 151 (01) : 193 - 203
  • [8] Quantitative proteomic landscape of metaplastic breast carcinoma pathological subtypes and their relationship to triple-negative tumors
    Djomehri, Sabra, I
    Gonzalez, Maria E.
    Leprevost, Felipe da Veiga
    Tekula, Shilpa R.
    Chang, Hui-Yin
    White, Marissa J.
    Cimino-Mathews, Ashley
    Burman, Boris
    Basrur, Venkatesha
    Argani, Pedram
    Nesvizhskii, Alexey, I
    Kleer, Celina G.
    [J]. NATURE COMMUNICATIONS, 2020, 11 (01)
  • [9] Genetic and Immune Profiles of Solid Predominant Lung Adenocarcinoma Reveal Potential Immunotherapeutic Strategies
    Dong, Zhong-Yi
    Zhang, Chao
    Li, Yu-Fa
    Su, Jian
    Xie, Zhi
    Liu, Si-Yang
    Yan, Li-Xu
    Chen, Zhi-Hong
    Yang, Xue-Ning
    Lin, Jun-Tao
    Tu, Hai-Yan
    Yang, Jin-Ji
    Zhou, Qing
    Sun, Yue-Li
    Zhong, Wen-Zhao
    Wu, Yi-Long
    [J]. JOURNAL OF THORACIC ONCOLOGY, 2018, 13 (01) : 85 - 96
  • [10] The extracellular matrix at a glance
    Frantz, Christian
    Stewart, Kathleen M.
    Weaver, Valerie M.
    [J]. JOURNAL OF CELL SCIENCE, 2010, 123 (24) : 4195 - 4200