Evidence map›Paper›PMID 37643131›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2023

The Landscape of Alterations from 1407 Ultra-Rare Sarcomas from the AACR GENIE Database: Clinical Implications.

Ryan A Denu, Justin T Moyers, Mohamed A Gouda, Anthony P Conley, Alexander J Lazar, Vivek Subbiah

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 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
1.6field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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  4. Review
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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

6 authors at 2 institutions in 1 country.

Ryan A Denu *Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-9698-9201
Justin T Moyers *The Angeles Clinic and Research Institute, A Cedars-Sinai Affiliate, Los Angeles, California.ORCID 0000-0001-5139-1652
Mohamed A GoudaDepartment of Investigational Cancer Therapeutics, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0003-4829-6739
Anthony P ConleyDepartment of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-6232-1163
Alexander J LazarDivision of Pathology & Laboratory Medicine, Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-6395-4499
Vivek SubbiahDepartment of Investigational Cancer Therapeutics, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-6064-6837
The University of Texas MD Anderson Cancer Center · USAngeles Clinic and Research Institute · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
Discovery of the next-generation RET-targeted drugs based on nicotinamide scaffoldR01CA273168 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI FUNDA MERIC-BERNSTAM, Herman O Sintim · 2022 to 2026
$2.9M
Blocking tumor progression in therapy-responsive RET aberration-associated cancerR01CA242845 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI AHNERT, JORDI RODON, MOOERS, BLAINE H. M. · 2020 to 2024
$1.9M
Informatics to enable routine personalized cancer therapyU01CA180964 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BERNSTAM, ELMER V., MERIC-BERNSTAM, FUNDA · 2013 to 2015
$964k
NCATS NIH HHS UL1 TR000371NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA242845NCI NIH HHS R01 CA273168NCI NIH HHS U01 CA180964
6 · The paper itself

Abstract

purposeUltra-rare sarcomas (URS) comprise a group of orphan diseases with an incidence of ≤1/1,000,000 people per year. We aimed to assess clinically actionable genomic alterations in URS. EXPERIMENTAL

designData were extracted from the GENIE database using cBioPortal. OncoKB was used to assess for clinical actionability of mutations. Tumor mutational burden (TMB) was inferred from clinical sequencing data.

resultsSoft tissue (ST) URS made up 23.5% of ST sarcoma cases, and bone URS made up 16.5% of bone sarcoma cases. The most commonly mutated gene in all four groups was TP53. The most common fusions involved EWSR1. The most common copy-number variations included deletions of CDKN2A and CDKN2B and amplifications of MDM2 and CDK4. TMB was generally low across all four categories of sarcoma, though there was considerable heterogeneity, with 3.8% of ST URS and 0.55% of bone URS having high TMB. We find Level 1 alterations (FDA-recognized biomarker predictive of response to an FDA-approved drug) in 10.0% of ST URS compared with 7.1% of ST non-URS, 1.1% of bone URS, and 4.5% of bone non-URS. Level 1-3 alterations (also include alterations for which there are standard-of-care drugs or clinical evidence supporting a drug) were seen in 27.8% of ST URS, 25.2% of ST non-URS, 20.9% of bone URS, and 17.4% of bone non-URS.

conclusionsClinically actionable genomic alterations are seen in a substantial fraction of URS. Clinical sequencing in advanced URS has the potential to guide the treatment of a significant portion of patients with URS.

Indexed as

Bone NeoplasmsOsteosarcomaSarcomaBiomarkers, TumorDNA Copy Number VariationsHumansMutationBiomarkers, Tumor

Identifiers

PMID37643131
PMCPMC11874058
OpenAlexW4386250243

What OpenQuestion holds

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Read underepoch 390

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.