Evidence map›Paper›PMID 37568650›Full record

ArticleCancers2023

Independent Tissue-Based Biomarkers in Endometrioid Endometrial Cancer: Tumor Budding in Microsatellite Instability and WHO Grading in Copy-Number-Low Patients.

Fabian Stögbauer, Barbara Geß, Christine Brambs, Manuela Lautizi, Tim Kacprowski, Iordanis Ourailidis, Holger Bronger, Marion Kiechle, Aurelia Noske, Gisela Keller and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

14 authors at 7 institutions in 2 countries.

Fabian StögbauerInstitute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.ORCID 0000-0002-8897-5165
Barbara GeßDepartment of Obstetrics and Gynecology, Technical University of Munich, 81675 Munich, Germany.
Christine BrambsLucerne Cantonal Hospital, Department of Obstetrics & Gynecology, Division of Gynecologic Oncology, 6000 Lucerne, Switzerland.ORCID 0000-0001-7682-2172
Manuela LautiziInstitute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.
Tim KacprowskiDivision Data Science in Biomedicine, Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, 38106 Brunswick, Germany.ORCID 0000-0002-5393-2413
Iordanis OurailidisInstitute of Pathology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Holger BrongerDepartment of Obstetrics and Gynecology, Technical University of Munich, 81675 Munich, Germany.ORCID 0000-0002-3706-6738
Marion KiechleDepartment of Obstetrics and Gynecology, Technical University of Munich, 81675 Munich, Germany.ORCID 0000-0003-4237-2657
Aurelia NoskeInstitute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.
Gisela KellerInstitute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.ORCID 0000-0003-2886-0371
Moritz JesinghausInstitute of Pathology, University Hospital Marburg, Baldingerstraße, 35043 Marburg, Germany.
Christopher PorembaPathologie München-Nord, 80992 Munich, Germany.
Wilko WeichertInstitute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.
Melanie BoxbergInstitute of Pathology, School of Medicine, Technical University of Munich (TUM), 81675 Munich, Germany.
Technical University of Munich · DEDeutschen Konsortium für Translationale Krebsforschung · DEPathologie Hamburg-West · DEHeidelberg University · DEMedizinische Hochschule Hannover · DEPhilipps University of Marburg · DEUniversity of Lucerne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular characterization of endometrial endometrioid adenocarcinomas has provided major advances in its prognostic stratification. However, risk assessment of microsatellite instability (MSI) and copy-number (CN)-low cases remains a challenge. Thus, we aimed to identify tissue-based morphologic biomarkers that might help in the prognostic stratification of these cases. Histomorphologic parameters (WHO grading, tumor budding (TB), tumor-stroma ratio (as a quantitative description of stromal desmoplasia), tumor-infiltrating lymphocytes (TIL), "microcystic, elongated, fragmented" (MELF) pattern) were analyzed in resection specimens of the TCGA-UCEC cohort (

Indexed as

CN-lowendometrial cancerlymph node metastasismolecular subtypesMSIprognosistissue based biomarkerstumor budding

Identifiers

PMID37568650
PMCPMC10416921
OpenAlexW4385342681

What OpenQuestion holds

Textmetadata
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.