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Clinical correlates of circulating cell-free DNA tumor fraction
BACKGROUND: Oncology applications of cell-free DNA analysis are often limited by the amount of circulating tumor DNA and the fraction of cell-free DNA derived from tumor cells in a blood sample. This circulating tumor fraction varies widely between individuals and cancer types. Clinical factors that...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386888/ https://www.ncbi.nlm.nih.gov/pubmed/34432811 http://dx.doi.org/10.1371/journal.pone.0256436 |
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author | Bredno, Joerg Lipson, Jafi Venn, Oliver Aravanis, Alexander M. Jamshidi, Arash |
author_facet | Bredno, Joerg Lipson, Jafi Venn, Oliver Aravanis, Alexander M. Jamshidi, Arash |
author_sort | Bredno, Joerg |
collection | PubMed |
description | BACKGROUND: Oncology applications of cell-free DNA analysis are often limited by the amount of circulating tumor DNA and the fraction of cell-free DNA derived from tumor cells in a blood sample. This circulating tumor fraction varies widely between individuals and cancer types. Clinical factors that influence tumor fraction have not been completely elucidated. METHODS AND FINDINGS: Circulating tumor fraction was determined for breast, lung, and colorectal cancer participant samples in the first substudy of the Circulating Cell-free Genome Atlas study (CCGA; NCT02889978; multi-cancer early detection test development) and was related to tumor and patient characteristics. Linear models were created to determine the influence of tumor size combined with mitotic or metabolic activity (as tumor mitotic volume or excessive lesion glycolysis, respectively), histologic type, histologic grade, and lymph node status on tumor fraction. For breast and lung cancer, tumor mitotic volume and excessive lesion glycolysis (primary lesion volume scaled by percentage positive for Ki-67 or PET standardized uptake value minus 1.0, respectively) were the only statistically significant covariates. For colorectal cancer, the surface area of tumors invading beyond the subserosa was the only significant covariate. The models were validated with cases from the second CCGA substudy and show that these clinical correlates of circulating tumor fraction can predict and explain the performance of a multi-cancer early detection test. CONCLUSIONS: Prognostic clinical variables, including mitotic or metabolic activity and depth of invasion, were identified as correlates of circulating tumor DNA by linear models that relate clinical covariates to tumor fraction. The identified correlates indicate that faster growing tumors have higher tumor fractions. Early cancer detection from assays that analyze cell-free DNA is determined by circulating tumor fraction. Results support that early detection is particularly sensitive for faster growing, aggressive tumors with high mortality, many of which have no available screening today. |
format | Online Article Text |
id | pubmed-8386888 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83868882021-08-26 Clinical correlates of circulating cell-free DNA tumor fraction Bredno, Joerg Lipson, Jafi Venn, Oliver Aravanis, Alexander M. Jamshidi, Arash PLoS One Research Article BACKGROUND: Oncology applications of cell-free DNA analysis are often limited by the amount of circulating tumor DNA and the fraction of cell-free DNA derived from tumor cells in a blood sample. This circulating tumor fraction varies widely between individuals and cancer types. Clinical factors that influence tumor fraction have not been completely elucidated. METHODS AND FINDINGS: Circulating tumor fraction was determined for breast, lung, and colorectal cancer participant samples in the first substudy of the Circulating Cell-free Genome Atlas study (CCGA; NCT02889978; multi-cancer early detection test development) and was related to tumor and patient characteristics. Linear models were created to determine the influence of tumor size combined with mitotic or metabolic activity (as tumor mitotic volume or excessive lesion glycolysis, respectively), histologic type, histologic grade, and lymph node status on tumor fraction. For breast and lung cancer, tumor mitotic volume and excessive lesion glycolysis (primary lesion volume scaled by percentage positive for Ki-67 or PET standardized uptake value minus 1.0, respectively) were the only statistically significant covariates. For colorectal cancer, the surface area of tumors invading beyond the subserosa was the only significant covariate. The models were validated with cases from the second CCGA substudy and show that these clinical correlates of circulating tumor fraction can predict and explain the performance of a multi-cancer early detection test. CONCLUSIONS: Prognostic clinical variables, including mitotic or metabolic activity and depth of invasion, were identified as correlates of circulating tumor DNA by linear models that relate clinical covariates to tumor fraction. The identified correlates indicate that faster growing tumors have higher tumor fractions. Early cancer detection from assays that analyze cell-free DNA is determined by circulating tumor fraction. Results support that early detection is particularly sensitive for faster growing, aggressive tumors with high mortality, many of which have no available screening today. Public Library of Science 2021-08-25 /pmc/articles/PMC8386888/ /pubmed/34432811 http://dx.doi.org/10.1371/journal.pone.0256436 Text en © 2021 Bredno et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Bredno, Joerg Lipson, Jafi Venn, Oliver Aravanis, Alexander M. Jamshidi, Arash Clinical correlates of circulating cell-free DNA tumor fraction |
title | Clinical correlates of circulating cell-free DNA tumor fraction |
title_full | Clinical correlates of circulating cell-free DNA tumor fraction |
title_fullStr | Clinical correlates of circulating cell-free DNA tumor fraction |
title_full_unstemmed | Clinical correlates of circulating cell-free DNA tumor fraction |
title_short | Clinical correlates of circulating cell-free DNA tumor fraction |
title_sort | clinical correlates of circulating cell-free dna tumor fraction |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386888/ https://www.ncbi.nlm.nih.gov/pubmed/34432811 http://dx.doi.org/10.1371/journal.pone.0256436 |
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