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Cell-free multi-omics analysis reveals potential biomarkers in gastrointestinal cancer patients’ blood
During cancer progression, tumorigenic and immune signals are spread through circulating molecules, such as cell-free DNA (cfDNA) and cell-free RNA (cfRNA) in the blood. So far, they have not been comprehensively investigated in gastrointestinal cancers. Here, we profile 4 categories of cell-free om...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694666/ https://www.ncbi.nlm.nih.gov/pubmed/37992683 http://dx.doi.org/10.1016/j.xcrm.2023.101281 |
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author | Tao, Yuhuan Xing, Shaozhen Zuo, Shuai Bao, Pengfei Jin, Yunfan Li, Yu Li, Mingyang Wu, Yingchao Chen, Shanwen Wang, Xiaojuan Zhu, Yumin Feng, Ying Zhang, Xiaohua Wang, Xianbo Xi, Qiaoran Lu, Qian Wang, Pengyuan Lu, Zhi John |
author_facet | Tao, Yuhuan Xing, Shaozhen Zuo, Shuai Bao, Pengfei Jin, Yunfan Li, Yu Li, Mingyang Wu, Yingchao Chen, Shanwen Wang, Xiaojuan Zhu, Yumin Feng, Ying Zhang, Xiaohua Wang, Xianbo Xi, Qiaoran Lu, Qian Wang, Pengyuan Lu, Zhi John |
author_sort | Tao, Yuhuan |
collection | PubMed |
description | During cancer progression, tumorigenic and immune signals are spread through circulating molecules, such as cell-free DNA (cfDNA) and cell-free RNA (cfRNA) in the blood. So far, they have not been comprehensively investigated in gastrointestinal cancers. Here, we profile 4 categories of cell-free omics data from patients with colorectal cancer and patients with stomach adenocarcinoma and then assay 15 types of genomic, epigenomic, and transcriptomic variations. We find that multi-omics data are more appropriate for detection of cancer genes compared with single-omics data. In particular, cfRNAs are more sensitive and informative than cfDNAs in terms of detection rate, enriched functional pathways, etc. Moreover, we identify several peripheral immune signatures that are suppressed in patients with cancer. Specifically, we establish a γδ-T cell score and a cancer-associated-fibroblast (CAF) score, providing insights into clinical statuses like cancer stage and survival. Overall, we reveal a cell-free multi-molecular landscape that is useful for blood monitoring in personalized cancer treatment. |
format | Online Article Text |
id | pubmed-10694666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-106946662023-12-05 Cell-free multi-omics analysis reveals potential biomarkers in gastrointestinal cancer patients’ blood Tao, Yuhuan Xing, Shaozhen Zuo, Shuai Bao, Pengfei Jin, Yunfan Li, Yu Li, Mingyang Wu, Yingchao Chen, Shanwen Wang, Xiaojuan Zhu, Yumin Feng, Ying Zhang, Xiaohua Wang, Xianbo Xi, Qiaoran Lu, Qian Wang, Pengyuan Lu, Zhi John Cell Rep Med Article During cancer progression, tumorigenic and immune signals are spread through circulating molecules, such as cell-free DNA (cfDNA) and cell-free RNA (cfRNA) in the blood. So far, they have not been comprehensively investigated in gastrointestinal cancers. Here, we profile 4 categories of cell-free omics data from patients with colorectal cancer and patients with stomach adenocarcinoma and then assay 15 types of genomic, epigenomic, and transcriptomic variations. We find that multi-omics data are more appropriate for detection of cancer genes compared with single-omics data. In particular, cfRNAs are more sensitive and informative than cfDNAs in terms of detection rate, enriched functional pathways, etc. Moreover, we identify several peripheral immune signatures that are suppressed in patients with cancer. Specifically, we establish a γδ-T cell score and a cancer-associated-fibroblast (CAF) score, providing insights into clinical statuses like cancer stage and survival. Overall, we reveal a cell-free multi-molecular landscape that is useful for blood monitoring in personalized cancer treatment. Elsevier 2023-11-21 /pmc/articles/PMC10694666/ /pubmed/37992683 http://dx.doi.org/10.1016/j.xcrm.2023.101281 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Tao, Yuhuan Xing, Shaozhen Zuo, Shuai Bao, Pengfei Jin, Yunfan Li, Yu Li, Mingyang Wu, Yingchao Chen, Shanwen Wang, Xiaojuan Zhu, Yumin Feng, Ying Zhang, Xiaohua Wang, Xianbo Xi, Qiaoran Lu, Qian Wang, Pengyuan Lu, Zhi John Cell-free multi-omics analysis reveals potential biomarkers in gastrointestinal cancer patients’ blood |
title | Cell-free multi-omics analysis reveals potential biomarkers in gastrointestinal cancer patients’ blood |
title_full | Cell-free multi-omics analysis reveals potential biomarkers in gastrointestinal cancer patients’ blood |
title_fullStr | Cell-free multi-omics analysis reveals potential biomarkers in gastrointestinal cancer patients’ blood |
title_full_unstemmed | Cell-free multi-omics analysis reveals potential biomarkers in gastrointestinal cancer patients’ blood |
title_short | Cell-free multi-omics analysis reveals potential biomarkers in gastrointestinal cancer patients’ blood |
title_sort | cell-free multi-omics analysis reveals potential biomarkers in gastrointestinal cancer patients’ blood |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694666/ https://www.ncbi.nlm.nih.gov/pubmed/37992683 http://dx.doi.org/10.1016/j.xcrm.2023.101281 |
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