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A comprehensive characterization of the cell-free transcriptome reveals tissue- and subtype-specific biomarkers for cancer detection
Cell-free RNA (cfRNA) is a promising analyte for cancer detection. However, a comprehensive assessment of cfRNA in individuals with and without cancer has not been conducted. We perform the first transcriptome-wide characterization of cfRNA in cancer (stage III breast [n = 46], lung [n = 30]) and no...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060291/ https://www.ncbi.nlm.nih.gov/pubmed/33883548 http://dx.doi.org/10.1038/s41467-021-22444-1 |
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author | Larson, Matthew H. Pan, Wenying Kim, Hyunsung John Mauntz, Ruth E. Stuart, Sarah M. Pimentel, Monica Zhou, Yiqi Knudsgaard, Per Demas, Vasiliki Aravanis, Alexander M. Jamshidi, Arash |
author_facet | Larson, Matthew H. Pan, Wenying Kim, Hyunsung John Mauntz, Ruth E. Stuart, Sarah M. Pimentel, Monica Zhou, Yiqi Knudsgaard, Per Demas, Vasiliki Aravanis, Alexander M. Jamshidi, Arash |
author_sort | Larson, Matthew H. |
collection | PubMed |
description | Cell-free RNA (cfRNA) is a promising analyte for cancer detection. However, a comprehensive assessment of cfRNA in individuals with and without cancer has not been conducted. We perform the first transcriptome-wide characterization of cfRNA in cancer (stage III breast [n = 46], lung [n = 30]) and non-cancer (n = 89) participants from the Circulating Cell-free Genome Atlas (NCT02889978). Of 57,820 annotated genes, 39,564 (68%) are not detected in cfRNA from non-cancer individuals. Within these low-noise regions, we identify tissue- and cancer-specific genes, defined as “dark channel biomarker” (DCB) genes, that are recurrently detected in individuals with cancer. DCB levels in plasma correlate with tumor shedding rate and RNA expression in matched tissue, suggesting that DCBs with high expression in tumor tissue could enhance cancer detection in patients with low levels of circulating tumor DNA. Overall, cfRNA provides a unique opportunity to detect cancer, predict the tumor tissue of origin, and determine the cancer subtype. |
format | Online Article Text |
id | pubmed-8060291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80602912021-05-11 A comprehensive characterization of the cell-free transcriptome reveals tissue- and subtype-specific biomarkers for cancer detection Larson, Matthew H. Pan, Wenying Kim, Hyunsung John Mauntz, Ruth E. Stuart, Sarah M. Pimentel, Monica Zhou, Yiqi Knudsgaard, Per Demas, Vasiliki Aravanis, Alexander M. Jamshidi, Arash Nat Commun Article Cell-free RNA (cfRNA) is a promising analyte for cancer detection. However, a comprehensive assessment of cfRNA in individuals with and without cancer has not been conducted. We perform the first transcriptome-wide characterization of cfRNA in cancer (stage III breast [n = 46], lung [n = 30]) and non-cancer (n = 89) participants from the Circulating Cell-free Genome Atlas (NCT02889978). Of 57,820 annotated genes, 39,564 (68%) are not detected in cfRNA from non-cancer individuals. Within these low-noise regions, we identify tissue- and cancer-specific genes, defined as “dark channel biomarker” (DCB) genes, that are recurrently detected in individuals with cancer. DCB levels in plasma correlate with tumor shedding rate and RNA expression in matched tissue, suggesting that DCBs with high expression in tumor tissue could enhance cancer detection in patients with low levels of circulating tumor DNA. Overall, cfRNA provides a unique opportunity to detect cancer, predict the tumor tissue of origin, and determine the cancer subtype. Nature Publishing Group UK 2021-04-21 /pmc/articles/PMC8060291/ /pubmed/33883548 http://dx.doi.org/10.1038/s41467-021-22444-1 Text en © The Author(s) 2021, corrected publication 2022 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Larson, Matthew H. Pan, Wenying Kim, Hyunsung John Mauntz, Ruth E. Stuart, Sarah M. Pimentel, Monica Zhou, Yiqi Knudsgaard, Per Demas, Vasiliki Aravanis, Alexander M. Jamshidi, Arash A comprehensive characterization of the cell-free transcriptome reveals tissue- and subtype-specific biomarkers for cancer detection |
title | A comprehensive characterization of the cell-free transcriptome reveals tissue- and subtype-specific biomarkers for cancer detection |
title_full | A comprehensive characterization of the cell-free transcriptome reveals tissue- and subtype-specific biomarkers for cancer detection |
title_fullStr | A comprehensive characterization of the cell-free transcriptome reveals tissue- and subtype-specific biomarkers for cancer detection |
title_full_unstemmed | A comprehensive characterization of the cell-free transcriptome reveals tissue- and subtype-specific biomarkers for cancer detection |
title_short | A comprehensive characterization of the cell-free transcriptome reveals tissue- and subtype-specific biomarkers for cancer detection |
title_sort | comprehensive characterization of the cell-free transcriptome reveals tissue- and subtype-specific biomarkers for cancer detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060291/ https://www.ncbi.nlm.nih.gov/pubmed/33883548 http://dx.doi.org/10.1038/s41467-021-22444-1 |
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