Evidence map›Paper›PMID 39231374›Full record

ArticleJCO precision oncology2024

Personalized Therapy Selection by Integration of Molecular Cancer Classification by the 92-Gene Assay and Tumor Profiling in Patients With Cancer of Unknown Primary.

Harry E Fuentes Bayne, Pashtoon M Kasi, Li Ma, Lowell L Hart, Jenna Wong, David R Spigel, Catherine A Schnabel, James A Reeves, Thorvardur R Halfdanarson, Kai Treuner and 1 more

Abstract read
In one paragraph

Article in JCO precision oncology, 2024. 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
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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

11 authors.

Harry E Fuentes BayneMayo Clinic, Rochester, MN.ORCID 0000-0002-7837-8359
Pashtoon M KasiWeill Cornell Medicine, New York, NY.ORCID 0000-0002-5169-7085
Li MaBiotheranostics, a Hologic Company, San Diego, CA.
Lowell L HartFlorida Cancer Specialist, Fort Myers, FL.
Jenna WongBiotheranostics, a Hologic Company, San Diego, CA.
David R SpigelSarah Cannon Research Institute and Tennessee Oncology, Nashville, TN.ORCID 0000-0003-3215-9465
Catherine A SchnabelBiotheranostics, a Hologic Company, San Diego, CA.
James A ReevesFlorida Cancer Specialist, Fort Myers, FL.
Thorvardur R HalfdanarsonMayo Clinic, Rochester, MN.ORCID 0000-0001-8460-1257
Kai TreunerBiotheranostics, a Hologic Company, San Diego, CA.ORCID 0009-0006-3443-3578
F Anthony GrecoSarah Cannon Research Institute and Tennessee Oncology, Nashville, TN.ORCID 0000-0003-2802-3741

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCancer of unknown primary (CUP) is a syndrome comprising metastatic cancers without a clinically identified primary site. Although patients with CUP have an unfavorable prognosis, treatment with site-specific therapies guided by clinical features, standard pathology, and molecular assays can improve overall survival. The 92-gene assay (CancerTYPE ID) is a gene expression-based classifier that helps identify the tissue of origin for metastatic cancers with unknown or uncertain diagnoses. This study reports the frequency of selected molecular aberrations of oncogenes, including

methodsMOSAIC is a database of patients with CUP submitted for CancerTYPE ID testing and NeoTYPE biomarker testing. Tumor biopsy samples were analyzed by CancerTYPE ID for tumor type identification and further tested for molecular aberrations of oncogenes, including

resultsCancerTYPE ID identified a specific tumor type in 92.5% (2,929 of 3,168) of CUP cases in the MOSAIC database. The most commonly identified histological type was adenocarcinoma (75.4%), with pancreaticobiliary being the most common molecularly diagnosed cancer (24.9%). Aberrations in

conclusionThis retrospective analysis supports incorporating CancerTYPE ID into the evaluation for patients with CUP to help determine the tissue of origin and identify actionable genetic alterations. This approach may allow more patients with CUP to benefit from site-specific FDA-approved targeted therapies or enrollment into clinical trials.

Indexed as

Neoplasms, Unknown PrimaryPrecision MedicineAdultAgedBiomarkers, TumorFemaleGene Expression ProfilingHumansMaleMiddle AgedBiomarkers, Tumor

Identifiers

PMID39231374
PMCPMC11382827

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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.