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Plasma Exosome Gene Signature Differentiates Colon Cancer from Healthy Controls

BACKGROUND: Liquid biopsies have become an integral part of cancer management as minimally invasive options to detect molecular and genetic changes. However, current options show poor sensitivity in peritoneal carcinomatosis (PC). Novel exosome-based liquid biopsies may provide critical information...

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Autores principales: Vallejos, Paul A., Gonda, Amber, Yu, Jingjing, Sullivan, Brittany G., Ostowari, Arsha, Kwong, Mei Li, Choi, Audrey, Selleck, Matthew J., Kabagwira, Janviere, Fuller, Ryan N., Gironda, Daniel J., Levine, Edward A., Hughes, Christopher C. W., Wall, Nathan R., Miller, Lance D., Senthil, Maheswari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175396/
https://www.ncbi.nlm.nih.gov/pubmed/36864326
http://dx.doi.org/10.1245/s10434-023-13219-7
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author Vallejos, Paul A.
Gonda, Amber
Yu, Jingjing
Sullivan, Brittany G.
Ostowari, Arsha
Kwong, Mei Li
Choi, Audrey
Selleck, Matthew J.
Kabagwira, Janviere
Fuller, Ryan N.
Gironda, Daniel J.
Levine, Edward A.
Hughes, Christopher C. W.
Wall, Nathan R.
Miller, Lance D.
Senthil, Maheswari
author_facet Vallejos, Paul A.
Gonda, Amber
Yu, Jingjing
Sullivan, Brittany G.
Ostowari, Arsha
Kwong, Mei Li
Choi, Audrey
Selleck, Matthew J.
Kabagwira, Janviere
Fuller, Ryan N.
Gironda, Daniel J.
Levine, Edward A.
Hughes, Christopher C. W.
Wall, Nathan R.
Miller, Lance D.
Senthil, Maheswari
author_sort Vallejos, Paul A.
collection PubMed
description BACKGROUND: Liquid biopsies have become an integral part of cancer management as minimally invasive options to detect molecular and genetic changes. However, current options show poor sensitivity in peritoneal carcinomatosis (PC). Novel exosome-based liquid biopsies may provide critical information on these challenging tumors. In this initial feasibility analysis, we identified an exosome gene signature of 445 genes (ExoSig445) from colon cancer patients, including those with PC, that is distinct from healthy controls. METHODS: Plasma exosomes from 42 patients with metastatic and non-metastatic colon cancer and 10 healthy controls were isolated and verified. RNAseq analysis of exosomal RNA was performed and differentially expressed genes (DEGs) were identified by the DESeq2 algorithm. The ability of RNA transcripts to discriminate control and cancer cases was assessed by principal component analysis (PCA) and Bayesian compound covariate predictor classification. An exosomal gene signature was compared with tumor expression profiles of The Cancer Genome Atlas. RESULTS: Unsupervised PCA using exosomal genes with greatest expression variance showed stark separation between controls and patient samples. Using separate training and test sets, gene classifiers were constructed capable of discriminating control and patient samples with 100% accuracy. Using a stringent statistical threshold, 445 DEGs fully delineated control from cancer samples. Furthermore, 58 of these exosomal DEGs were found to be overexpressed in colon tumors. CONCLUSIONS: Plasma exosomal RNAs can robustly discriminate colon cancer patients, including patients with PC, from healthy controls. ExoSig445 can potentially be developed as a highly sensitive liquid biopsy test in colon cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1245/s10434-023-13219-7.
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spelling pubmed-101753962023-05-13 Plasma Exosome Gene Signature Differentiates Colon Cancer from Healthy Controls Vallejos, Paul A. Gonda, Amber Yu, Jingjing Sullivan, Brittany G. Ostowari, Arsha Kwong, Mei Li Choi, Audrey Selleck, Matthew J. Kabagwira, Janviere Fuller, Ryan N. Gironda, Daniel J. Levine, Edward A. Hughes, Christopher C. W. Wall, Nathan R. Miller, Lance D. Senthil, Maheswari Ann Surg Oncol Translational Research BACKGROUND: Liquid biopsies have become an integral part of cancer management as minimally invasive options to detect molecular and genetic changes. However, current options show poor sensitivity in peritoneal carcinomatosis (PC). Novel exosome-based liquid biopsies may provide critical information on these challenging tumors. In this initial feasibility analysis, we identified an exosome gene signature of 445 genes (ExoSig445) from colon cancer patients, including those with PC, that is distinct from healthy controls. METHODS: Plasma exosomes from 42 patients with metastatic and non-metastatic colon cancer and 10 healthy controls were isolated and verified. RNAseq analysis of exosomal RNA was performed and differentially expressed genes (DEGs) were identified by the DESeq2 algorithm. The ability of RNA transcripts to discriminate control and cancer cases was assessed by principal component analysis (PCA) and Bayesian compound covariate predictor classification. An exosomal gene signature was compared with tumor expression profiles of The Cancer Genome Atlas. RESULTS: Unsupervised PCA using exosomal genes with greatest expression variance showed stark separation between controls and patient samples. Using separate training and test sets, gene classifiers were constructed capable of discriminating control and patient samples with 100% accuracy. Using a stringent statistical threshold, 445 DEGs fully delineated control from cancer samples. Furthermore, 58 of these exosomal DEGs were found to be overexpressed in colon tumors. CONCLUSIONS: Plasma exosomal RNAs can robustly discriminate colon cancer patients, including patients with PC, from healthy controls. ExoSig445 can potentially be developed as a highly sensitive liquid biopsy test in colon cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1245/s10434-023-13219-7. Springer International Publishing 2023-03-02 2023 /pmc/articles/PMC10175396/ /pubmed/36864326 http://dx.doi.org/10.1245/s10434-023-13219-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) .
spellingShingle Translational Research
Vallejos, Paul A.
Gonda, Amber
Yu, Jingjing
Sullivan, Brittany G.
Ostowari, Arsha
Kwong, Mei Li
Choi, Audrey
Selleck, Matthew J.
Kabagwira, Janviere
Fuller, Ryan N.
Gironda, Daniel J.
Levine, Edward A.
Hughes, Christopher C. W.
Wall, Nathan R.
Miller, Lance D.
Senthil, Maheswari
Plasma Exosome Gene Signature Differentiates Colon Cancer from Healthy Controls
title Plasma Exosome Gene Signature Differentiates Colon Cancer from Healthy Controls
title_full Plasma Exosome Gene Signature Differentiates Colon Cancer from Healthy Controls
title_fullStr Plasma Exosome Gene Signature Differentiates Colon Cancer from Healthy Controls
title_full_unstemmed Plasma Exosome Gene Signature Differentiates Colon Cancer from Healthy Controls
title_short Plasma Exosome Gene Signature Differentiates Colon Cancer from Healthy Controls
title_sort plasma exosome gene signature differentiates colon cancer from healthy controls
topic Translational Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175396/
https://www.ncbi.nlm.nih.gov/pubmed/36864326
http://dx.doi.org/10.1245/s10434-023-13219-7
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