Evidence map›Paper›PMID 37287928›Full record

ArticleFrontiers in oncology2023

Prognostic stratification of endometrial cancers with high microsatellite instability or no specific molecular profile.

Jesus Gonzalez-Bosquet, S John Weroha, Jamie N Bakkum-Gamez, Amy L Weaver, Michaela E McGree, Sean C Dowdy, Abimbola O Famuyide, Benjamin R Kipp, Kevin C Halling, Siddhartha Yadav and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. 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
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

12 authors at 3 institutions in 1 country.

Jesus Gonzalez-BosquetDepartment of Obstetrics and Gynecology, University of Iowa, Iowa City, IA, United States.
S John WerohaDivision of Medical Oncology, Mayo Clinic, Rochester, MN, United States.
Jamie N Bakkum-GamezDepartment of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States.
Amy L WeaverDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States.
Michaela E McGreeDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States.
Sean C DowdyDepartment of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States.
Abimbola O FamuyideDepartment of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States.
Benjamin R KippDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.
Kevin C HallingDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, United States.
Siddhartha YadavDivision of Medical Oncology, Mayo Clinic, Rochester, MN, United States.
Fergus J CouchDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States.
Karl C PodratzDepartment of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States.
Mayo Clinic in Arizona · USMayo Clinic in Florida · USUniversity of Iowa · US

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Jon C.D. Houtman · 2000 to 2026
$70.0M
NCI NIH HHS P30 CA015083NCI NIH HHS P30 CA086862
6 · The paper itself

Abstract

Objective: To identify high-risk disease in clinicopathologic low-risk endometrial cancer (EC) with high microsatellite instability (MSI-H) or no specific molecular profile (NSMP) and therapeutic insensitivity in clinicopathologic high-risk MSI-H/NSMP EC. Methods: We searched The Cancer Genome Atlas for DNA sequencing, RNA expression, and surveillance data regarding MSI-H/NSMP EC. We used a molecular classification system of Results: Data were available for 239 patients with EC, which included 58 MSI-H and 89 NSMP cases. ECPPF effectively stratified MSI-H/NSMP EC into distinct molecular groups with prognostic implications: molecular low risk (MLR), with low Conclusion: ECPPF may resolve prognostic challenges for MSI-H/NSMP EC by identifying occult high-risk disease in EC with clinicopathologic low-risk indicators and therapeutic insensitivity in EC with clinicopathologic high-risk indicators.

Indexed as

CCNA2E2F1ECPPFendometrial cancerFBXW7MSINSMPPPP2R1A

Identifiers

PMID37287928
PMCPMC10242089
OpenAlexW4378083142

What OpenQuestion holds

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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.