Evidence map›Paper›PMID 40578550›Full record

ArticleThe Journal of molecular diagnostics : JMD2025

Cell-Free DNA, Tumor Molecular Concordance, and Clinical Correlates of Patients with Cancer Treated in a Large Community Health Care Network.

William A LaFramboise, Patti Petrosko, Phillip H Gallo, Louis Gil, Tuong L Lam, Robin M Barr, Philip E Schumacher, Harmeet K Kharoud, Katherine M Taylor, Emily Dalton and 12 more

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

22 authors.

William A LaFramboiseAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania. Electronic address: william.laframboise@ahn.org.
Patti PetroskoAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
Phillip H GalloAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
Louis GilAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
Tuong L LamAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
Robin M BarrAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
Philip E SchumacherAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
Harmeet K KharoudAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
Katherine M TaylorAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
Emily DaltonIllumina, Inc., San Diego, California.
Bella BapatIllumina, Inc., San Diego, California.
Sefali PatelAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
John NakayamaAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
Christie J HiltonAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
Lisa B ErcolanoAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
Ali H ZaidiAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
Casey J AllenAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
Thomas RachmanRay and Stephanie Lane Computational Biology Department, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Oana CarjaRay and Stephanie Lane Computational Biology Department, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Russell SchwartzRay and Stephanie Lane Computational Biology Department, Carnegie Mellon University, Pittsburgh, Pennsylvania; Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Patrick L WagnerAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.
David L BartlettAllegheny Health Network Cancer Institute, Pittsburgh, Pennsylvania.

Funding

Reconstructing mechanisms of somatic variation in diverse cellular lineagesR01HG010589 · NHGRI · CARNEGIE-MELLON UNIVERSITY · PI SCHWARTZ, RUSSELL S · 2020 to 2023
$1.4M
NHGRI NIH HHS R01 HG010589
6 · The paper itself

Abstract

Blood collection, plasma processing, and cell-free DNA (cfDNA) purification were optimized to capture circulating tumor DNA without blood cell background DNA among 874 patients with cancer. cfDNA comprised predominantly mononucleosomal fragments [n = 874; mean (x¯) ± SD = 166 ± 5 bp] that generated comparably sized sequencing reads (x¯ ± SD = 162 ± 25 bp). Despite a vast range of cfDNA concentrations (0.50 to 1132.9 ng/mL) across 21 tumor types, matched tumor and blood specimens (n = 430 patients) revealed high concordance for coding (median = 97%) and clinical oncogenic mutations (median = 88% concordance). Therapeutically actionable mutations were identified in 233 patients by both assays, whereas 126 patients had oncogenic mutations without an established pharmacotherapeutic agent. An additional 48 patients (11%) had actionable mutations detected only in cfDNA assays, whereas 23 patients (5%) had mutations in tumor only. Concordance was high in both prevalent (lung, breast, and colon) and rare tumors (appendiceal, sarcoma). Cell-free DNA levels from diagnostic blood specimens were a strong indicator of patient survival duration independent of age, sex, tumor type, and stage, demonstrative of a potentially important role as a prognostic biomarker. Mutations in established oncogenes and tumor suppressors were readily detectable across all tumor types in circulating tumor DNA, indicating a diagnostic role for cfDNA from blood extending beyond the identification of companion therapeutics to patient screening and monitoring.

Indexed as

Biomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNANeoplasmsAdultAgedAged, 80 and overCommunity Health ServicesFemaleHumansMaleMiddle AgedMutationPrognosisBiomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNA

Identifiers

PMID40578550
PMCPMC12489365

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LicenceCC BY
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Registered trials

None linked

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.