Identification of novel protein biomarkers and drug targets for colorectal cancer by integrating human plasma proteome with genome

被引:62
|
作者
Sun, Jing [1 ,2 ]
Zhao, Jianhui [1 ,2 ]
Jiang, Fangyuan [1 ,2 ]
Wang, Lijuan [3 ]
Xiao, Qian [4 ]
Han, Fengyan [5 ]
Chen, Jie [1 ,2 ]
Yuan, Shuai [6 ]
Wei, Jingsun [4 ]
Larsson, Susanna C. [6 ,7 ]
Zhang, Honghe [5 ]
Dunlop, Malcolm G. [8 ,9 ]
Farrington, Susan M. [8 ]
Ding, Kefeng [4 ]
Theodoratou, Evropi [3 ,8 ]
Li, Xue [1 ,2 ,3 ]
机构
[1] Zhejiang Univ, Dept Big Data Hlth Sci, Sch Publ Hlth, Sch Med, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Univ, Analyt Affiliated Hosp 2, Ctr Clin Big Data, Sch Med, Hangzhou, Zhejiang, Peoples R China
[3] Univ Edinburgh, Usher Inst, Ctr Global Hlth, Edinburgh, Scotland
[4] Zhejiang Univ, Affiliated Hosp 2, Colorectal Surg & Oncol, Key Lab Canc Prevent & Intervent,Minist Educ,Sch M, Hangzhou, Peoples R China
[5] Zhejiang Univ, Sch Med, Womens Hosp, Dept Pathol, Hangzhou, Zhejiang, Peoples R China
[6] Karolinska Inst, Inst Environm Med, Unit Cardiovasc & Nutr Epidemiol, Stockholm, Sweden
[7] Uppsala Univ, Dept Surg Sci, Unit Med Epidemiol, Uppsala, Sweden
[8] Univ Edinburgh, Med Res Council Inst Genet & Canc, Canc Res UK Edinburgh Ctr, Edinburgh, Scotland
[9] Univ Edinburgh, Inst Genet & Canc, Colon Canc Genet Grp, Edinburgh, Scotland
关键词
Colorectal cancer; Protein; Proteome-wide Mendelian randomization; Biomarker; Drug target; MENDELIAN RANDOMIZATION; GENETIC RISK; AFRICAN; CELLS; GREM1;
D O I
10.1186/s13073-023-01229-9
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
BackgroundThe proteome is a major source of therapeutic targets. We conducted a proteome-wide Mendelian randomization (MR) study to identify candidate protein markers and therapeutic targets for colorectal cancer (CRC).MethodsProtein quantitative trait loci (pQTLs) were derived from seven published genome-wide association studies (GWASs) on plasma proteome, and summary-level data were extracted for 4853 circulating protein markers. Genetic associations with CRC were obtained from a large-scale GWAS meta-analysis (16,871 cases and 26,328 controls), the FinnGen cohort (4957 cases and 304,197 controls), and the UK Biobank (9276 cases and 477,069 controls). Colocalization and summary-data-based MR (SMR) analyses were performed sequentially to verify the causal role of candidate proteins. Single cell-type expression analysis, protein-protein interaction (PPI), and druggability evaluation were further conducted to detect the specific cell type with enrichment expression and prioritize potential therapeutic targets.ResultsCollectively, genetically predicted levels of 13 proteins were associated with CRC risk. Elevated levels of two proteins (GREM1, CHRDL2) and decreased levels of 11 proteins were associated with an increased risk of CRC, among which four (GREM1, CLSTN3, CSF2RA, CD86) were prioritized with the most convincing evidence. These protein-coding genes are mainly expressed in tissue stem cells, epithelial cells, and monocytes in colon tumor tissue. Two interactive pairs of proteins (GREM1 and CHRDL2; MMP2 and TIMP2) were identified to be involved in osteoclast differentiation and tumorigenesis pathways; four proteins (POLR2F, CSF2RA, CD86, MMP2) have been targeted for drug development on autoimmune diseases and other cancers, with the potentials of being repurposed as therapeutic targets for CRC.ConclusionsThis study identified several protein biomarkers to be associated with CRC risk and provided new insights into the etiology and promising targets for the development of screening biomarkers and therapeutic drugs for CRC.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Identification and validation of novel candidate protein biomarkers for the detection of human gastric cancer
    Humphries, Julia M.
    Penno, Megan A. S.
    Weiland, Florian
    Klingler-Hoffmann, Manuela
    Zuber, Agnieszka
    Boussioutas, Alex
    Ernst, Matthias
    Hoffmann, Peter
    BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS, 2014, 1844 (05): : 1051 - 1058
  • [42] Identification of Novel Biomarkers and Candidate Drug in Ovarian Cancer
    Li, Chia-Jung
    Lin, Li-Te
    Chu, Pei-Yi
    Chiang, An-Jen
    Tsai, Hsiao-Wen
    Chiu, Yi-Han
    Huang, Mei-Shu
    Wen, Zhi-Hong
    Tsui, Kuan-Hao
    JOURNAL OF PERSONALIZED MEDICINE, 2021, 11 (04):
  • [43] Integrating plasma proteomics with genome-wide association data to identify novel drug targets for inflammatory bowel disease
    Bai, Zhongyuan
    Hao, Jiawei
    Chen, Miaoran
    Yao, Kaixin
    Zheng, Leilei
    Liu, Liu
    Hu, Jingxi
    Guo, Kaiqing
    Lv, Yongqiang
    Li, Feng
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [44] Plasma proteome profiling reveals biomarkers of chemotherapy resistance in patients with advanced colorectal cancer
    Yang, Jingxin
    Chen, Jin
    Zhang, Luobin
    Zhou, Fangming
    Cui, Xiaozhen
    Tian, Ruijun
    Xu, Ruilian
    QUANTITATIVE BIOLOGY, 2024, 12 (02) : 215 - 224
  • [45] Plasma proteome profiling reveals biomarkers of chemotherapy resistance in patients with advanced colorectal cancer
    Jingxin Yang
    Jin Chen
    Luobin Zhang
    Fangming Zhou
    Xiaozhen Cui
    Ruijun Tian
    Ruilian Xu
    Quantitative Biology, 2024, 12 (02) : 215 - 224
  • [46] Identification of Plasma Protein Biomarkers for Predicting Lung Cancer
    Sung, Ki Sa
    Han, Sang Jun
    Lee, Jihye
    Kwon, Minseok
    Kim, Duk-Hwan
    Oh, Young Sun
    ANTICANCER RESEARCH, 2024, 44 (11) : 5147 - 5155
  • [47] Integrating transcriptome and metabolomics analyses of hepatocellular carcinoma to discover novel biomarkers and drug targets
    Yang, Ting
    Wang, Si-Yu
    CLINICS AND RESEARCH IN HEPATOLOGY AND GASTROENTEROLOGY, 2025, 49 (04)
  • [48] Molecular analysis to identify novel potential biomarkers as drug targets in colorectal cancer therapy: an integrated bioinformatics analysis
    Gatasheh, Mansour K.
    Natarajan, Sathan Raj
    Krishnamoorthy, Rajapandiyan
    Alsulami, Tawfiq S.
    Rajagopal, Ponnulakshmi
    Palanisamy, Chella Perumal
    Veeraraghavan, Vishnu Priya
    Jayaraman, Selvaraj
    MOLECULAR & CELLULAR ONCOLOGY, 2024, 11 (01)
  • [49] Glycoproteomic identification of novel plasma biomarkers for oral cancer
    Chang, Shu-Chieh
    Lin, Wei-Ling
    Chang, Yin-Fan
    Lee, Chih-Ting
    Wu, Jin-Shang
    Hsu, Pang-Hung
    Chang, Chuan-Fa
    JOURNAL OF FOOD AND DRUG ANALYSIS, 2019, 27 (02) : 483 - 493
  • [50] Identification of Novel Prognostic Biomarkers for Colorectal Cancer by Bioinformatics Analysis
    Niu, Chao
    Li, Xiaogang
    Luo, Xian Lei
    Wan, Hongwei
    Jin, Wendi
    Zhang, Zhiping
    Zhang, Wanfu
    Li, Bo
    TURKISH JOURNAL OF GASTROENTEROLOGY, 2024, 35 (01): : 61 - +