Evidence map›Paper›PMID 34286887›Full record

ArticleThe oncologist2021

Validation of a Circulating Tumor DNA-Based Next-Generation Sequencing Assay in a Cohort of Patients with Solid tumors: A Proposed Solution for Decentralized Plasma Testing.

Wael Al Zoughbi, Jesse Fox, Shaham Beg, Eniko Papp, Erika Hissong, Kentaro Ohara, Laurel Keefer, Michael Sigouros, Troy Kane, Daniel Bockelman and 27 more

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in The oncologist, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Metastatic Colorectal Cancer Treatment Response Evaluation by Ultra-Deep Sequencing of Cell-Free DNA and Matched White Blood Cells.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
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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

37 authors at 2 institutions in 2 countries.

Wael Al ZoughbiDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.ORCID 0000-0002-0684-1180
Jesse FoxPersonal Genome Diagnostics Inc., Baltimore, Maryland, USA.
Shaham BegDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Eniko PappPersonal Genome Diagnostics Inc., Baltimore, Maryland, USA.
Erika HissongDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Kentaro OharaDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Laurel KeeferPersonal Genome Diagnostics Inc., Baltimore, Maryland, USA.
Michael SigourosThe Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and New York-Presbyterian, New York, New York, USA.
Troy KaneThe Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and New York-Presbyterian, New York, New York, USA.
Daniel BockelmanThe Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and New York-Presbyterian, New York, New York, USA.
Donna NicholPersonal Genome Diagnostics Inc., Baltimore, Maryland, USA.
Emily PatchellDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Rohan BarejaInstitute for Computational Biomedicine, Weill Cornell Medicine, New York, New York, USA.
Aanavi KarandikarPersonal Genome Diagnostics Inc., Baltimore, Maryland, USA.
Hussein AlnajarDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Gustavo CerqueiraPersonal Genome Diagnostics Inc., Baltimore, Maryland, USA.
Violeta Beleva GuthriePersonal Genome Diagnostics Inc., Baltimore, Maryland, USA.
Ellen VernerPersonal Genome Diagnostics Inc., Baltimore, Maryland, USA.
Jyothi ManoharThe Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and New York-Presbyterian, New York, New York, USA.
Noah GrecoThe Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and New York-Presbyterian, New York, New York, USA.
David WilkesThe Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medicine and New York-Presbyterian, New York, New York, USA.
Scott TagawaDivision of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, New York, USA.
Murtaza S MalbariDivision of Thoracic Surgery, Weill Cornell Medicine, New York, New York, USA.
Kevin HolcombDepartment of Obstetrics and Gynecology, Weill Cornell Medicine, New York, New York, USA.
Kenneth Wha EngInstitute for Computational Biomedicine, Weill Cornell Medicine, New York, New York, USA.
Manish ShahDivision of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, New York, USA.
Nasser K AltorkiDivision of Thoracic Surgery, Weill Cornell Medicine, New York, New York, USA.
Andrea SbonerDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
David NanusDivision of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, New York, USA.
Bishoy FaltasDivision of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, New York, USA.
Cora N SternbergDivision of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, New York, USA.
John SimmonsPersonal Genome Diagnostics Inc., Baltimore, Maryland, USA.
Yariv HouvrasDepartment of Surgery, Weill Cornell Medicine, New York, New York, USA.
Ana M MolinaDivision of Hematology/Oncology, Department of Medicine, Weill Cornell Medicine, New York, New York, USA.
Samuel AngiuoliPersonal Genome Diagnostics Inc., Baltimore, Maryland, USA.
Olivier ElementoInstitute for Computational Biomedicine, Weill Cornell Medicine, New York, New York, USA.
Juan Miguel MosqueraDepartment of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, New York, USA.
Cornell University · USHuman Genome Sciences (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCharacterization of circulating tumor DNA (ctDNA) has been integrated into clinical practice. Although labs have standardized validation procedures to develop single locus tests, the efficacy of on-site plasma-based next-generation sequencing (NGS) assays still needs to be proved. MATERIALS AND

methodsIn this retrospective study, we profiled DNA from matched tissue and plasma samples from 75 patients with cancer. We applied an NGS test that detects clinically relevant alterations in 33 genes and microsatellite instability (MSI) to analyze plasma cell-free DNA (cfDNA).

resultsThe concordance between alterations detected in both tissue and plasma samples was higher in patients with metastatic disease. The NGS test detected 77% of sequence alterations, amplifications, and fusions that were found in metastatic samples compared with 45% of those alterations found in the primary tumor samples (p = .00005). There was 87% agreement on MSI status between the NGS test and tumor tissue results. In three patients, MSI-high ctDNA correlated with response to immunotherapy. In addition, the NGS test revealed an FGFR2 amplification that was not detected in tumor tissue from a patient with metastatic gastric cancer, emphasizing the importance of profiling plasma samples in patients with advanced cancer.

conclusionOur validation experience of a plasma-based NGS assay advances current knowledge about translating cfDNA testing into clinical practice and supports the application of plasma assays in the management of oncology patients with metastatic disease. With an in-house method that minimizes the need for invasive procedures, on-site cfDNA testing supplements tissue biopsy to guide precision therapy and is entitled to become a routine practice. IMPLICATIONS FOR PRACTICE: This study proposes a solution for decentralized liquid biopsy testing based on validation of a next-generation sequencing (NGS) test that detects four classes of genomic alterations in blood: sequence mutations (single nucleotide substitutions or insertions and deletions), fusions, amplifications, and microsatellite instability (MSI). Although there are reference labs that perform single-site comprehensive liquid biopsy testing, the targeted assay this study validated can be established locally in any lab with capacity to offer clinical molecular pathology assays. To the authors' knowledge, this is the first report that validates evaluating an on-site plasma-based NGS test that detects the MSI status along with common sequence alterations encountered in solid tumors.

Indexed as

Circulating Tumor DNANeoplasmsHigh-Throughput Nucleotide SequencingHumansMicrosatellite InstabilityRetrospective StudiesCirculating Tumor DNACancer immunotherapyCirculating tumor DNAMicrosatellite instability status

Identifiers

PMID34286887
PMCPMC8571755
OpenAlexW3183972744

What OpenQuestion holds

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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.