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Clinical utility of tumor genomic profiling in patients with high plasma circulating tumor DNA burden or metabolically active tumors

BACKGROUND: This retrospective study was undertaken to determine if the plasma circulating tumor DNA (ctDNA) level and tumor biological features in patients with advanced solid tumors affected the detection of genomic alterations (GAs) by a plasma ctDNA assay. METHOD: Cell-free DNA (cfDNA) extracted...

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Autores principales: Zhou, Cathy, Yuan, Zilong, Ma, Weijie, Qi, Lihong, Mahavongtrakul, Angelique, Li, Ying, Li, Hong, Gong, Jay, Fan, Reggie R., Li, Jin, Molmen, Michael, Clark, Travis A., Pavlick, Dean, Frampton, Garrett M., Forcier, Brady, Moore, Elizabeth H., Shelton, David K., Cooke, Matthew, Ali, Siraj M., Miller, Vincent A., Gregg, Jeffrey P., Stephens, Philip J., Li, Tianhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219073/
https://www.ncbi.nlm.nih.gov/pubmed/30400986
http://dx.doi.org/10.1186/s13045-018-0671-8
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author Zhou, Cathy
Yuan, Zilong
Ma, Weijie
Qi, Lihong
Mahavongtrakul, Angelique
Li, Ying
Li, Hong
Gong, Jay
Fan, Reggie R.
Li, Jin
Molmen, Michael
Clark, Travis A.
Pavlick, Dean
Frampton, Garrett M.
Forcier, Brady
Moore, Elizabeth H.
Shelton, David K.
Cooke, Matthew
Ali, Siraj M.
Miller, Vincent A.
Gregg, Jeffrey P.
Stephens, Philip J.
Li, Tianhong
author_facet Zhou, Cathy
Yuan, Zilong
Ma, Weijie
Qi, Lihong
Mahavongtrakul, Angelique
Li, Ying
Li, Hong
Gong, Jay
Fan, Reggie R.
Li, Jin
Molmen, Michael
Clark, Travis A.
Pavlick, Dean
Frampton, Garrett M.
Forcier, Brady
Moore, Elizabeth H.
Shelton, David K.
Cooke, Matthew
Ali, Siraj M.
Miller, Vincent A.
Gregg, Jeffrey P.
Stephens, Philip J.
Li, Tianhong
author_sort Zhou, Cathy
collection PubMed
description BACKGROUND: This retrospective study was undertaken to determine if the plasma circulating tumor DNA (ctDNA) level and tumor biological features in patients with advanced solid tumors affected the detection of genomic alterations (GAs) by a plasma ctDNA assay. METHOD: Cell-free DNA (cfDNA) extracted from frozen plasma (N = 35) or fresh whole blood (N = 90) samples were subjected to a 62-gene hybrid capture-based next-generation sequencing assay FoundationACT. Concordance was analyzed for 51 matched FoundationACT and FoundationOne (tissue) cases. The maximum somatic allele frequency (MSAF) was used to estimate the amount of tumor fraction of cfDNA in each sample. The detection of GAs was correlated with the amount of cfDNA, MSAF, total tumor anatomic burden (dimensional sum), and total tumor metabolic burden (SUVmax sum) of the largest ten tumor lesions on PET/CT scans. RESULTS: FoundationACT detected GAs in 69 of 81 (85%) cases with MSAF > 0. Forty-two of 51 (82%) cases had ≥ 1 concordance GAs matched with FoundationOne, and 22 (52%) matched to the National Comprehensive Cancer Network (NCCN)-recommended molecular targets. FoundationACT also detected 8 unique molecular targets, which changed the therapy in 7 (88%) patients who did not have tumor rebiopsy or sufficient tumor DNA for genomic profiling assay. In all samples (N = 81), GAs were detected in plasma cfDNA from cancer patients with high MSAF quantity (P = 0.0006) or high tumor metabolic burden (P = 0.0006) regardless of cfDNA quantity (P = 0.2362). CONCLUSION: This study supports the utility of using plasma-based genomic assays in cancer patients with high plasma MSAF level or high tumor metabolic burden.
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spelling pubmed-62190732018-11-16 Clinical utility of tumor genomic profiling in patients with high plasma circulating tumor DNA burden or metabolically active tumors Zhou, Cathy Yuan, Zilong Ma, Weijie Qi, Lihong Mahavongtrakul, Angelique Li, Ying Li, Hong Gong, Jay Fan, Reggie R. Li, Jin Molmen, Michael Clark, Travis A. Pavlick, Dean Frampton, Garrett M. Forcier, Brady Moore, Elizabeth H. Shelton, David K. Cooke, Matthew Ali, Siraj M. Miller, Vincent A. Gregg, Jeffrey P. Stephens, Philip J. Li, Tianhong J Hematol Oncol Research BACKGROUND: This retrospective study was undertaken to determine if the plasma circulating tumor DNA (ctDNA) level and tumor biological features in patients with advanced solid tumors affected the detection of genomic alterations (GAs) by a plasma ctDNA assay. METHOD: Cell-free DNA (cfDNA) extracted from frozen plasma (N = 35) or fresh whole blood (N = 90) samples were subjected to a 62-gene hybrid capture-based next-generation sequencing assay FoundationACT. Concordance was analyzed for 51 matched FoundationACT and FoundationOne (tissue) cases. The maximum somatic allele frequency (MSAF) was used to estimate the amount of tumor fraction of cfDNA in each sample. The detection of GAs was correlated with the amount of cfDNA, MSAF, total tumor anatomic burden (dimensional sum), and total tumor metabolic burden (SUVmax sum) of the largest ten tumor lesions on PET/CT scans. RESULTS: FoundationACT detected GAs in 69 of 81 (85%) cases with MSAF > 0. Forty-two of 51 (82%) cases had ≥ 1 concordance GAs matched with FoundationOne, and 22 (52%) matched to the National Comprehensive Cancer Network (NCCN)-recommended molecular targets. FoundationACT also detected 8 unique molecular targets, which changed the therapy in 7 (88%) patients who did not have tumor rebiopsy or sufficient tumor DNA for genomic profiling assay. In all samples (N = 81), GAs were detected in plasma cfDNA from cancer patients with high MSAF quantity (P = 0.0006) or high tumor metabolic burden (P = 0.0006) regardless of cfDNA quantity (P = 0.2362). CONCLUSION: This study supports the utility of using plasma-based genomic assays in cancer patients with high plasma MSAF level or high tumor metabolic burden. BioMed Central 2018-11-06 /pmc/articles/PMC6219073/ /pubmed/30400986 http://dx.doi.org/10.1186/s13045-018-0671-8 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Zhou, Cathy
Yuan, Zilong
Ma, Weijie
Qi, Lihong
Mahavongtrakul, Angelique
Li, Ying
Li, Hong
Gong, Jay
Fan, Reggie R.
Li, Jin
Molmen, Michael
Clark, Travis A.
Pavlick, Dean
Frampton, Garrett M.
Forcier, Brady
Moore, Elizabeth H.
Shelton, David K.
Cooke, Matthew
Ali, Siraj M.
Miller, Vincent A.
Gregg, Jeffrey P.
Stephens, Philip J.
Li, Tianhong
Clinical utility of tumor genomic profiling in patients with high plasma circulating tumor DNA burden or metabolically active tumors
title Clinical utility of tumor genomic profiling in patients with high plasma circulating tumor DNA burden or metabolically active tumors
title_full Clinical utility of tumor genomic profiling in patients with high plasma circulating tumor DNA burden or metabolically active tumors
title_fullStr Clinical utility of tumor genomic profiling in patients with high plasma circulating tumor DNA burden or metabolically active tumors
title_full_unstemmed Clinical utility of tumor genomic profiling in patients with high plasma circulating tumor DNA burden or metabolically active tumors
title_short Clinical utility of tumor genomic profiling in patients with high plasma circulating tumor DNA burden or metabolically active tumors
title_sort clinical utility of tumor genomic profiling in patients with high plasma circulating tumor dna burden or metabolically active tumors
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219073/
https://www.ncbi.nlm.nih.gov/pubmed/30400986
http://dx.doi.org/10.1186/s13045-018-0671-8
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