Evidence map›Paper›PMID 32299819›Full record

Observational studyClinical cancer research : an official journal of the American Association for Cancer Research2020

Genomic Landscape of Uterine Sarcomas Defined Through Prospective Clinical Sequencing.

Martee L Hensley, Shweta S Chavan, David B Solit, Rajmohan Murali, Robert Soslow, Sarah Chiang, Achim A Jungbluth, Chaitanya Bandlamudi, Preethi Srinivasan, William D Tap and 4 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Clinical cancer research : an official journal of the American Association for Cancer Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 2 pooled it
6.8field-weighted citation impact, top 2% 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

60 citing papers in PubMed, 2 syntheses or guidelines pooled it, 114 citations in OpenAlex.

  1. Molecular Insights in Uterine Leiomyosarcoma: A Systematic Review.International journal of molecular sciences · 2022
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  20. Retrospective Analysis ofJCO precision oncology · 2025
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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

14 authors at 1 institution in 1 country.

Martee L Hensley *Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. hensleym@mskcc.org.
Shweta S Chavan *Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
David B SolitWeill Cornell Medical College, New York, New York.
Rajmohan MuraliDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-6988-4295
Robert SoslowDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Sarah ChiangDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Achim A JungbluthDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Chaitanya BandlamudiMarie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Preethi SrinivasanDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
William D TapWeill Cornell Medical College, New York, New York.ORCID 0000-0001-7779-2796
Evan RosenbaumDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Barry S TaylorWeill Cornell Medical College, New York, New York.
Mark T A Donoghue *Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
David M Hyman *Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Targeting Oncogenic Pathways in Genetically Complex SarcomasP50CA217694 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Marc Ladanyi · 2018 to 2026
$21.5M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA217694
6 · The paper itself

Abstract

purposeWe examined whether prospective molecular characterization of advanced metastatic disease can reveal grade and/or histology-specific differences to inform diagnosis and facilitate enrollment onto clinical trials. EXPERIMENTAL

designPatients with uterine sarcoma consented to a prospective study of next-generation sequencing (NGS). Clinical annotations were extracted from their medical record. Tumor and matched normal DNA were subjected to NGS, and the genomic landscape was explored for survival correlations and therapeutic targetability.

resultsTumors from 107 women were sequenced and included leiomyosarcoma ( DISCUSSION: Prospective genomic profiling can contribute to diagnostic precision and inform treatment selection in patients with uterine sarcomas. There was evidence of clinical benefit in patients with uterine leiomyosarcoma with somatic

Indexed as

AdolescentAdultBiomarkers, TumorBRCA2 ProteinChildDNA Mutational AnalysisFemaleGene DeletionHigh-Throughput Nucleotide SequencingHumansLoss of Function MutationMiddle AgedPoly(ADP-ribose) Polymerase InhibitorsPrecision MedicineProspective StudiesPTEN PhosphohydrolaseATRX protein, humanBiomarkers, TumorBRCA2 ProteinBRCA2 protein, humanPoly(ADP-ribose) Polymerase InhibitorsPTEN PhosphohydrolasePTEN protein, humanRB1 protein, humanRetinoblastoma Binding ProteinsTP53 protein, humanTumor Suppressor Protein p53Ubiquitin-Protein LigasesX-linked Nuclear Protein

Identifiers

PMID32299819
PMCPMC7367750
OpenAlexW3016595792

What OpenQuestion holds

Textmetadata
LicenceTDM
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.