Evidence map›Paper›PMID 37064027›Full record

ArticleFrontiers in medicine2023

Integrated clinicopathologic and molecular analysis of endometrial carcinoma: Prognostic impact of the new ESGO-ESTRO-ESP endometrial cancer risk classification and proposal of histopathologic algorithm for its implementation in clinical practice.

Dario de Biase, Thais Maloberti, Angelo Gianluca Corradini, Francesca Rosini, Marco Grillini, Martina Ruscelli, Sara Coluccelli, Annalisa Altimari, Elisa Gruppioni, Viviana Sanza and 16 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
11.8field-weighted citation impact, top 1% 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

19 citing papers in PubMed, 38 citations in OpenAlex.

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  8. New histopathological and molecular findings in gynecological cancers.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 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

26 authors at 3 institutions in 1 country.

Dario de BiaseSolid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Thais MalobertiSolid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Angelo Gianluca CorradiniPathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Francesca RosiniPathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Marco GrilliniPathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Martina RuscelliDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Sara ColuccelliSolid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Annalisa AltimariSolid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Elisa GruppioniSolid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Viviana SanzaSolid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Daniela TurchettiDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Andrea GaluppiRadiation Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Martina FerioliRadiation Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Susanna GiunchiDivision of Gynecologic Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Giulia DondiDivision of Gynecologic Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Marco TeseiDivision of Gynecologic Oncology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Gloria RavegniniDepartment of Pharmacy and Biotechnology (FaBit), University of Bologna, Bologna, Italy.
Francesca AbbatiIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Daniela RubinoIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Claudio ZamagniIRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Pierandrea De IacoDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Donatella SantiniPathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Claudio CeccarelliDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Anna Myriam PerroneDepartment of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy.
Giovanni TalliniSolid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Antonio De LeoSolid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Azienda USL di Bologna · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The European Society of Gynecologic Oncology/European Society of Radiation Therapy and Oncology/European Society of Pathology (ESGO/ESTRO/ESP) committee recently proposed a new risk stratification system for endometrial carcinoma (EC) patients that incorporates clinicopathologic and molecular features. The aim of the study is to compare the new ESGO/ESTRO/ESP risk classification system with the previous 2016 recommendations, evaluating the impact of molecular classification and defining a new algorithm for selecting cases for molecular analysis to assign the appropriate risk class. Methods: The cohort included 211 consecutive EC patients. Immunohistochemistry and next-generation sequencing were used to assign molecular subgroups of EC: Results: Immuno-molecular analysis was successful in all cases, identifying the four molecular subgroups: 7.6% Conclusion: Application of the new 2020 risk classification integrating clinicopathologic and molecular parameters provided more accurate identification of low-and high-risk patients, potentially allowing a more specific selection of patients for post-operative adjuvant therapy. The proposed histopathologic algorithm significantly decreases the number of tests needed and could be a promising tool for cost reduction without compromising prognostic stratification.

Indexed as

endometrial carcinomahistopathologic parametersmolecular classificationprognosisrisk stratification

Identifiers

PMID37064027
PMCPMC10098215
OpenAlexW4361279597

What OpenQuestion holds

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Registered trials

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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.