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Identification of novel protein biomarkers and drug targets for colorectal cancer by integrating human plasma proteome with genome
BACKGROUND: The 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). METHODS: Protein quantitative trait loci (pQTLs) were derived from seven publi...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508028/ https://www.ncbi.nlm.nih.gov/pubmed/37726845 http://dx.doi.org/10.1186/s13073-023-01229-9 |
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author | Sun, Jing Zhao, Jianhui Jiang, Fangyuan Wang, Lijuan Xiao, Qian Han, Fengyan Chen, Jie Yuan, Shuai Wei, Jingsun Larsson, Susanna C. Zhang, Honghe Dunlop, Malcolm G Farrington, Susan M Ding, Kefeng Theodoratou, Evropi Li, Xue |
author_facet | Sun, Jing Zhao, Jianhui Jiang, Fangyuan Wang, Lijuan Xiao, Qian Han, Fengyan Chen, Jie Yuan, Shuai Wei, Jingsun Larsson, Susanna C. Zhang, Honghe Dunlop, Malcolm G Farrington, Susan M Ding, Kefeng Theodoratou, Evropi Li, Xue |
author_sort | Sun, Jing |
collection | PubMed |
description | BACKGROUND: The 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). METHODS: Protein 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. RESULTS: Collectively, 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. CONCLUSIONS: This 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01229-9. |
format | Online Article Text |
id | pubmed-10508028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105080282023-09-20 Identification of novel protein biomarkers and drug targets for colorectal cancer by integrating human plasma proteome with genome Sun, Jing Zhao, Jianhui Jiang, Fangyuan Wang, Lijuan Xiao, Qian Han, Fengyan Chen, Jie Yuan, Shuai Wei, Jingsun Larsson, Susanna C. Zhang, Honghe Dunlop, Malcolm G Farrington, Susan M Ding, Kefeng Theodoratou, Evropi Li, Xue Genome Med Research BACKGROUND: The 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). METHODS: Protein 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. RESULTS: Collectively, 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. CONCLUSIONS: This 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01229-9. BioMed Central 2023-09-19 /pmc/articles/PMC10508028/ /pubmed/37726845 http://dx.doi.org/10.1186/s13073-023-01229-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Sun, Jing Zhao, Jianhui Jiang, Fangyuan Wang, Lijuan Xiao, Qian Han, Fengyan Chen, Jie Yuan, Shuai Wei, Jingsun Larsson, Susanna C. Zhang, Honghe Dunlop, Malcolm G Farrington, Susan M Ding, Kefeng Theodoratou, Evropi Li, Xue Identification of novel protein biomarkers and drug targets for colorectal cancer by integrating human plasma proteome with genome |
title | Identification of novel protein biomarkers and drug targets for colorectal cancer by integrating human plasma proteome with genome |
title_full | Identification of novel protein biomarkers and drug targets for colorectal cancer by integrating human plasma proteome with genome |
title_fullStr | Identification of novel protein biomarkers and drug targets for colorectal cancer by integrating human plasma proteome with genome |
title_full_unstemmed | Identification of novel protein biomarkers and drug targets for colorectal cancer by integrating human plasma proteome with genome |
title_short | Identification of novel protein biomarkers and drug targets for colorectal cancer by integrating human plasma proteome with genome |
title_sort | identification of novel protein biomarkers and drug targets for colorectal cancer by integrating human plasma proteome with genome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10508028/ https://www.ncbi.nlm.nih.gov/pubmed/37726845 http://dx.doi.org/10.1186/s13073-023-01229-9 |
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