Evidence map›Paper›PMID 30400986›Full record

ArticleJournal of hematology & oncology2018

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

Cathy Zhou, Zilong Yuan, Weijie Ma, Lihong Qi, Angelique Mahavongtrakul, Ying Li, Hong Li, Jay Gong, Reggie R Fan, Jin Li and 13 more

Open access · goldAbstract read
In one paragraph

Article in Journal of hematology & oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 33 citations in OpenAlex.

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  13. A Pan-Canadian Validation Study for the Detection ofJTO clinical and research reports · 2021
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  15. Targeting HER2 genomic alterations in non-small cell lung cancer.Journal of the National Cancer Center · 2021
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors at 6 institutions in 2 countries.

Cathy ZhouDepartment of Radiology, University of California Davis School of Medicine, Sacramento, CA, USA.
Zilong YuanUniversity of California Davis Comprehensive Cancer Center, Sacramento, CA, USA.
Weijie MaDivision of Hematology and Oncology, Department of Internal Medicine University of California Davis School of Medicine, 4501 X Street, Suite 3016, Sacramento, CA, 95817, USA.
Lihong QiUniversity of California Davis Comprehensive Cancer Center, Sacramento, CA, USA.
Angelique MahavongtrakulDivision of Hematology and Oncology, Department of Internal Medicine University of California Davis School of Medicine, 4501 X Street, Suite 3016, Sacramento, CA, 95817, USA.
Ying LiDivision of Hematology and Oncology, Department of Internal Medicine University of California Davis School of Medicine, 4501 X Street, Suite 3016, Sacramento, CA, 95817, USA.
Hong LiDivision of Hematology and Oncology, Department of Internal Medicine University of California Davis School of Medicine, 4501 X Street, Suite 3016, Sacramento, CA, 95817, USA.
Jay GongDivision of Hematology and Oncology, Department of Internal Medicine University of California Davis School of Medicine, 4501 X Street, Suite 3016, Sacramento, CA, 95817, USA.
Reggie R FanDivision of Hematology and Oncology, Department of Internal Medicine University of California Davis School of Medicine, 4501 X Street, Suite 3016, Sacramento, CA, 95817, USA.
Jin LiDepartment of Public Health Sciences, University of California, Davis, CA, USA.
Michael MolmenFoundation Medicine, Inc., Cambridge, MA, USA.
Travis A ClarkFoundation Medicine, Inc., Cambridge, MA, USA.
Dean PavlickFoundation Medicine, Inc., Cambridge, MA, USA.
Garrett M FramptonFoundation Medicine, Inc., Cambridge, MA, USA.
Brady ForcierFoundation Medicine, Inc., Cambridge, MA, USA.
Elizabeth H MooreDepartment of Radiology, University of California Davis School of Medicine, Sacramento, CA, USA.
David K SheltonDepartment of Radiology, University of California Davis School of Medicine, Sacramento, CA, USA.
Matthew CookeFoundation Medicine, Inc., Cambridge, MA, USA.
Siraj M AliFoundation Medicine, Inc., Cambridge, MA, USA.
Vincent A MillerFoundation Medicine, Inc., Cambridge, MA, USA.
Jeffrey P GreggUniversity of California Davis Comprehensive Cancer Center, Sacramento, CA, USA.
Philip J StephensFoundation Medicine, Inc., Cambridge, MA, USA.
Tianhong LiUniversity of California Davis Comprehensive Cancer Center, Sacramento, CA, USA. thli@ucdavis.edu.
Foundation Medicine (United States)University of California, Davis · USUC Davis Comprehensive Cancer CenterChinese PLA General Hospital · CNPeking University First Hospital · CNVA Northern California Health Care System · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Laura Marcu · 2002 to 2026
$84.9M
NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

backgroundThis 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.

methodCell-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.

resultsFoundationACT 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).

conclusionThis study supports the utility of using plasma-based genomic assays in cancer patients with high plasma MSAF level or high tumor metabolic burden.

Indexed as

AdultAgedCirculating Tumor DNAFemaleGenomicsHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPositron Emission Tomography Computed TomographyRetrospective StudiesCirculating Tumor DNACell-free DNA (cfDNA)Circulating tumor DNA (ctDNA)Genomic alterations (GAs)Maximum somatic allele frequency (MSAF)Maximum standardized uptake value (SUVmax)Next-generation sequencing (NGS)PlasmaPositron emission tomography (PET) scan

Identifiers

PMID30400986
PMCPMC6219073
OpenAlexW2900262693

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.