Evidence map›Paper›PMID 35687785›Full record

ArticleArchives of pathology & laboratory medicine2023

Clinical Testing for Tumor Cell-Free DNA: College of American Pathologists Proficiency Programs Reveal Practice Trends.

Kelly A Devereaux, Rhona J Souers, Jason D Merker, Neal I Lindeman, Rondell P Graham, Meera R Hameed, Patricia Vasalos, Joel T Moncur, Christina M Lockwood, Rena R Xian

Abstract read
In one paragraph

Article in Archives of pathology & laboratory medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Response to: Comment on "Dynamics of Serum CA 19-9 in Patients Undergoing Pancreatic Cancer Resection".Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
    Article
  5. Review
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

10 authors.

Kelly A DevereauxFrom the Department of Pathology, NYU School of Medicine, New York, New York (Devereaux), College of American Pathologists, Northfield, Illinois.
Rhona J SouersBiostatistics Department (Souers), College of American Pathologists, Northfield, Illinois.
Jason D MerkerThe Departments of Pathology and Laboratory Medicine & Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina School of Medicine, Chapel Hill (Merker).
Neal I LindemanThe Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts (Lindeman).
Rondell P GrahamThe Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota (Graham).
Meera R HameedThe Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York (Hameed).
Patricia VasalosProficiency Testing (Vasalos), College of American Pathologists, Northfield, Illinois.
Joel T MoncurOffice of the Director, The Joint Pathology Center, Silver Spring, Maryland (Moncur).
Christina M LockwoodThe Department of Laboratory Medicine and Pathology, University of Washington, Seattle (Lockwood).
Rena R XianThe Departments of Pathology and Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland (Xian).

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI ALAN KEITH MEEKER · 1985 to 2026
$208.6M
NCI NIH HHS P30 CA006973NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

CONTEXT.—: Clinical testing for tumor cell-free DNA (cfDNA) has evolved rapidly, but no practice guidelines exist. OBJECTIVE.—: To summarize cfDNA laboratory practices based on self-reporting and assess preanalytical, analytical, and postanalytical trends that may influence the quality, accuracy, and consistency of cfDNA testing. DESIGN.—: Data were derived from the College of American Pathologists cfDNA proficiency testing program submitted by 101 participating laboratories from 2018 to 2019. RESULTS.—: Most laboratories performing clinical circulating tumor DNA testing are commercial/nonhospital (71.2%; 72 of 101) and international (77.2%; 78 of 101) laboratories. Commercial laboratories had higher monthly test volumes than hospital-based laboratories (median, 36 versus 7-8) and tended to have larger gene panels (median, 50 versus 11 genes) when panel-based testing was offered. The main clinical indications include therapy selection and treatment/disease monitoring. Plasma is the most commonly accepted specimen, which is predominantly collected in cell-stabilizing tubes. Equal proportions of laboratories use next-generation sequencing (NGS) and non-NGS methods to assess key genes, including EGFR, BRAF, KRAS, NRAS, and IDH1. Most laboratories reported a lower limit of detection (LLOD) of 0.5%, variant allele frequency or less, which did not differ by method, NGS or non-NGS, except for EGFR. Sixty-five percent (17 of 26) of laboratories using the US Food and Drug Administration (FDA)-approved non-NGS EGFR assay report analytical sensitivities higher than 0.5%, as compared to 15% (16 of 104) of laboratories using an alternative NGS or non-NGS method. There is also a wider range in LLODs obtained for the FDA-approved EGFR assay than nonapproved assays. CONCLUSIONS.—: These results highlight emerging practice trends and serve as a foundation to initiate future practice recommendations.

Indexed as

Cell-Free Nucleic AcidsNeoplasmsErbB ReceptorsHigh-Throughput Nucleotide SequencingHumansLaboratory Proficiency TestingMutationPathologistsUnited StatesCell-Free Nucleic AcidsErbB Receptors

Identifiers

PMID35687785
PMCPMC10189890

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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.