Evidence map›Paper›PMID 39637335›Full record

ArticleJCO precision oncology2024

Discovery of Gene Fusions in Driver-Negative Cancer Samples From the National Cancer Institute-Molecular Analysis for Therapy Choice Screening Cohort.

Stefan T Kaluziak, Elizabeth M Codd, Rashi Purohit, Beatrice Melli, Prinjali Kalyan, Jo Anne Fordham, Grace Kirkpatrick, Lisa M McShane, Ting-Chia Chang, Guangxiao Yang and 5 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Larotrectinib in Patients With Tumors WithJCO precision oncology · 2026
    Article
  2. Article
  3. Beyond Hybrid Morphology: A Large Series of Fusion-Driven Benign Peripheral Nerve Sheath Tumors Including 5 Tumors With Novel Fusions.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025
    Article
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

15 authors.

Stefan T KaluziakPathology Department, Massachusetts General Hospital, Boston, MA.ORCID 0000-0002-7531-2602
Elizabeth M CoddPathology Department, Massachusetts General Hospital, Boston, MA.ORCID 0009-0007-8738-6258
Rashi PurohitPathology Department, Massachusetts General Hospital, Boston, MA.ORCID 0000-0001-6038-9570
Beatrice MelliPathology Department, Massachusetts General Hospital, Boston, MA.ORCID 0000-0003-1366-2081
Prinjali KalyanPathology Department, Massachusetts General Hospital, Boston, MA.ORCID 0000-0003-2684-3789
Jo Anne FordhamPathology Department, Massachusetts General Hospital, Boston, MA.ORCID 0009-0004-7489-5799
Grace KirkpatrickPathology Department, Massachusetts General Hospital, Boston, MA.ORCID 0009-0008-0590-526X
Lisa M McShaneDivision of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Rockville, MD.ORCID 0000-0001-8195-3206
Ting-Chia ChangLeidos Biomedical Research, Inc, Molecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD.ORCID 0000-0001-6296-5797
Guangxiao YangYale University, New Haven, CT.
Jinglan WangYale University, New Haven, CT.
P Mickey WilliamsLeidos Biomedical Research, Inc, Molecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD.
Chris KarlovichLeidos Biomedical Research, Inc, Molecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD.ORCID 0000-0002-4617-2161
Jeffrey SklarYale University, New Haven, CT.ORCID 0000-0001-5334-6070
A John IafratePathology Department, Massachusetts General Hospital, Boston, MA.ORCID 0000-0002-7888-4067

Funding

Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer · 2014 to 2026
$167.6M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENCI NIH HHS U10 CA180820
6 · The paper itself

Abstract

purposeThe National Cancer Institute-Molecular Analysis for Therapy Choice (NCI-MATCH) trial was implemented to identify actionable genetic alterations across cancer types and enroll patients accordingly onto treatment arms, irrespective of tumor histology. Using multiplex polymerase chain reaction (PCR) next-generation sequencing, NCI-MATCH genotyped 5,540 patients, discovering gene fusions in 202/5,540 tumors (3.65%). This result, substantially lower than the fusion detection prevalence of 8.5% across all patients with cancer screened at Massachusetts General Hospital's (MGH) clinical laboratories, supported reanalysis of NCI-MATCH samples identified as mutations-of-interest (MOI)-negative. The assay used by NCI-MATCH requires previous knowledge of both fusion genes, cannot detect novel fusions, and may underestimate fusion-positive patients. Anchored multiplex PCR (AMP) technology permits fusion detection with knowledge of just one gene of the fusion partners.

methodsUsing AMP-based kits, we reprocessed 663 MOI-negative samples. 200 ng of RNA per sample were shipped from the Eastern Cooperative Oncology Group-American College of Radiology Imaging Network biorepository to MGH (n = 319) and Yale University (n = 344), processed, and sequenced on the NextSeq550. Reported fusions were manually reviewed, and novel fusions orthogonally verified via reverse-transcription PCR and Sanger sequencing.

resultsAMP identified 148 fusions in 142/663 MOI-negative patients (21% [95% CI, 18 to 25]), of which 28 were covered by the Oncomine Comprehensive Assay (OCA) panel but missed, while 120 were not covered by OCA. Among AMP-identified positive patients, 32 had actionable fusions, 24 contained novel fusions, and six had two fusion events. We identified fusions in 12/34 (35% [95% CI, 20 to 54]) cholangiocarcinomas and 43/109 (39% [95% CI, 30 to 49]) sarcomas.

conclusionTechnology and awareness of actionable fusions have improved since the NCI-MATCH trial. With AMP-based technology, we identified 142 patients with fusions not detected during NCI-MATCH screening, many potentially actionable. These striking data underscore the need to optimize the fusion-detection capabilities of genotyping assays used in precision medicine.

Indexed as

Gene FusionNational Cancer Institute (U.S.)NeoplasmsCohort StudiesHigh-Throughput Nucleotide SequencingHumansUnited States

Identifiers

PMID39637335
PMCPMC11634183

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.