Evidence map›Paper›PMID 33467460›Full record

ArticleJournal of personalized medicine2021

Risk Reclassification of Patients with Endometrial Cancer Based on Tumor Molecular Profiling: First Real World Data.

Felicitas Oberndorfer, Sarah Moling, Leonie Annika Hagelkruys, Christoph Grimm, Stephan Polterauer, Alina Sturdza, Stefanie Aust, Alexander Reinthaller, Leonhard Müllauer, Richard Schwameis

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 16 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Felicitas OberndorferDepartment of Pathology, Medical University of Vienna, 1090 Vienna, Austria.
Sarah MolingComprehensive Cancer Center, Gynecologic Cancer Unit, Department of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria.
Leonie Annika HagelkruysDepartment of Pathology, Medical University of Vienna, 1090 Vienna, Austria.
Christoph GrimmComprehensive Cancer Center, Gynecologic Cancer Unit, Department of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-2948-8129
Stephan PolterauerComprehensive Cancer Center, Gynecologic Cancer Unit, Department of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria.
Alina SturdzaComprehensive Cancer Center, Gynecologic Cancer Unit, Department of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria.
Stefanie AustComprehensive Cancer Center, Gynecologic Cancer Unit, Department of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-6760-949X
Alexander ReinthallerComprehensive Cancer Center, Gynecologic Cancer Unit, Department of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria.
Leonhard MüllauerDepartment of Pathology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-3399-078X
Richard SchwameisComprehensive Cancer Center, Gynecologic Cancer Unit, Department of Obstetrics and Gynecology, Medical University of Vienna, 1090 Vienna, Austria.
Comprehensive Cancer Center Vienna · ATMedical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, guidelines for endometrial cancer (EC) were released that guide treatment decisions according to the tumors' molecular profiles. To date, no real-world data regarding the clinical feasibility of molecular profiling have been released. This retrospective, monocentric study investigated the clinical feasibility of molecular profiling and its potential impact on treatment decisions. Tumor specimens underwent molecular profiling (testing for genetic alterations, (immune-)histological examination of lymphovascular space invasion (LVSI), and L1CAM) as part of the clinical routine and were classified according to the European Society for Medical Oncology (ESMO) classification system and to an integrated molecular risk stratification. Shifts between risk groups and potential treatment alterations are described. A total of 60 cases were included, of which twelve were excluded (20%), and eight of the remaining 48 were not characterized (drop-out rate of 16.7%). Molecular profiling revealed 4, 6, 25, and 5 patients with DNA polymerase-epsilon mutation, microsatellite instability, no specific molecular profile, and TP53 mutation, respectively. Three patients had substantial LVSI, and four patients showed high L1CAM expression. Molecular profiling took a median of 18.5 days. Substantial shifts occurred between the classification systems: four patients were upstaged, and 19 patients were downstaged. Molecular profiling of EC specimens is feasible in a daily routine, and new risk classification systems will change treatment decisions substantially.

Indexed as

cancer gene panel sequencingendometrial cancermolecular tumor classification

Identifiers

PMID33467460
PMCPMC7830511
OpenAlexW3121072991

What OpenQuestion holds

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LicenceCC BY
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.