Evaluation of exome sequencing to estimate tumor burden in plasma.

Accurate estimation of systemic tumor load from the blood of cancer patients has enormous potential. One avenue is to measure the presence of cell-free circulating tumor DNA in plasma. Various approaches have been investigated, predominantly covering hotspot mutations or customized, patient-specific...

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Main Authors: Daniel Klevebring, Mårten Neiman, Simon Sundling, Louise Eriksson, Eva Darai Ramqvist, Fuat Celebioglu, Kamila Czene, Per Hall, Lars Egevad, Henrik Grönberg, Johan Lindberg
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4136786?pdf=render
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author Daniel Klevebring
Mårten Neiman
Simon Sundling
Louise Eriksson
Eva Darai Ramqvist
Fuat Celebioglu
Kamila Czene
Per Hall
Lars Egevad
Henrik Grönberg
Johan Lindberg
author_facet Daniel Klevebring
Mårten Neiman
Simon Sundling
Louise Eriksson
Eva Darai Ramqvist
Fuat Celebioglu
Kamila Czene
Per Hall
Lars Egevad
Henrik Grönberg
Johan Lindberg
author_sort Daniel Klevebring
collection DOAJ
description Accurate estimation of systemic tumor load from the blood of cancer patients has enormous potential. One avenue is to measure the presence of cell-free circulating tumor DNA in plasma. Various approaches have been investigated, predominantly covering hotspot mutations or customized, patient-specific assays. Therefore, we investigated the utility of using exome sequencing to monitor circulating tumor DNA levels through the detection of single nucleotide variants in plasma. Two technologies, claiming to offer efficient library preparation from nanogram levels of DNA, were evaluated. This allowed us to estimate the proportion of starting molecules measurable by sequence capture (<5%). As cell-free DNA is highly fragmented, we designed and provide software for efficient identification of PCR duplicates in single-end libraries with a varying size distribution. On average, this improved sequence coverage by 38% in comparison to standard tools. By exploiting the redundant information in PCR-duplicates the background noise was reduced to ∼1/35,000. By applying our optimized analysis pipeline to a simulation analysis, we determined the current sensitivity limit to ∼1/2400, starting with 30 ng of cell-free DNA. Subsequently, circulating tumor DNA levels were assessed in seven breast- and one prostate cancer patient. One patient carried detectable levels of circulating tumor DNA, as verified by break-point specific PCR. These results demonstrate exome sequencing on cell-free DNA to be a powerful tool for disease monitoring of metastatic cancers. To enable a broad implementation in the diagnostic settings, the efficiency limitations of sequence capture and the inherent noise levels of the Illumina sequencing technology must be further improved.
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spelling doaj.art-b18d48274a0544e3827cfc50f6a1f94c2022-12-22T01:56:21ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0198e10441710.1371/journal.pone.0104417Evaluation of exome sequencing to estimate tumor burden in plasma.Daniel KlevebringMårten NeimanSimon SundlingLouise ErikssonEva Darai RamqvistFuat CelebiogluKamila CzenePer HallLars EgevadHenrik GrönbergJohan LindbergAccurate estimation of systemic tumor load from the blood of cancer patients has enormous potential. One avenue is to measure the presence of cell-free circulating tumor DNA in plasma. Various approaches have been investigated, predominantly covering hotspot mutations or customized, patient-specific assays. Therefore, we investigated the utility of using exome sequencing to monitor circulating tumor DNA levels through the detection of single nucleotide variants in plasma. Two technologies, claiming to offer efficient library preparation from nanogram levels of DNA, were evaluated. This allowed us to estimate the proportion of starting molecules measurable by sequence capture (<5%). As cell-free DNA is highly fragmented, we designed and provide software for efficient identification of PCR duplicates in single-end libraries with a varying size distribution. On average, this improved sequence coverage by 38% in comparison to standard tools. By exploiting the redundant information in PCR-duplicates the background noise was reduced to ∼1/35,000. By applying our optimized analysis pipeline to a simulation analysis, we determined the current sensitivity limit to ∼1/2400, starting with 30 ng of cell-free DNA. Subsequently, circulating tumor DNA levels were assessed in seven breast- and one prostate cancer patient. One patient carried detectable levels of circulating tumor DNA, as verified by break-point specific PCR. These results demonstrate exome sequencing on cell-free DNA to be a powerful tool for disease monitoring of metastatic cancers. To enable a broad implementation in the diagnostic settings, the efficiency limitations of sequence capture and the inherent noise levels of the Illumina sequencing technology must be further improved.http://europepmc.org/articles/PMC4136786?pdf=render
spellingShingle Daniel Klevebring
Mårten Neiman
Simon Sundling
Louise Eriksson
Eva Darai Ramqvist
Fuat Celebioglu
Kamila Czene
Per Hall
Lars Egevad
Henrik Grönberg
Johan Lindberg
Evaluation of exome sequencing to estimate tumor burden in plasma.
PLoS ONE
title Evaluation of exome sequencing to estimate tumor burden in plasma.
title_full Evaluation of exome sequencing to estimate tumor burden in plasma.
title_fullStr Evaluation of exome sequencing to estimate tumor burden in plasma.
title_full_unstemmed Evaluation of exome sequencing to estimate tumor burden in plasma.
title_short Evaluation of exome sequencing to estimate tumor burden in plasma.
title_sort evaluation of exome sequencing to estimate tumor burden in plasma
url http://europepmc.org/articles/PMC4136786?pdf=render
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