Evidence map›Paper›PMID 37874375›Full record

ArticleVirchows Archiv : an international journal of pathology2023

Validation of Modaplex POLE mutation assay in endometrial carcinoma.

Eduard Dorca, Ana Velasco, Mar Varela, Sonia Gatius, Sergio Villatoro, Neus Fullana, Dolors Cuevas, Marta Vaquero, Astrid Birnbaum, Karsten Neumann and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. 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

11 authors at 3 institutions in 2 countries.

Eduard DorcaPathology Department, Hospital Universitari de Bellvitge, Universitat de Barcelona, IDIBELL, Feixa Llarga SN, 08907, L'Hospitalet de Llobregat, Spain.
Ana VelascoPathology Department, Hospital Universitari Arnau de Vilanova, Universitat de Lleida, IRBLleida, CIBERONC, Av Rovira Roure 80, 25198, Lleida, Spain.
Mar VarelaPathology Department, Hospital Universitari de Bellvitge, Universitat de Barcelona, IDIBELL, Feixa Llarga SN, 08907, L'Hospitalet de Llobregat, Spain.
Sonia GatiusPathology Department, Hospital Universitari Arnau de Vilanova, Universitat de Lleida, IRBLleida, CIBERONC, Av Rovira Roure 80, 25198, Lleida, Spain.
Sergio VillatoroPathology Department, Hospital Universitari de Bellvitge, Universitat de Barcelona, IDIBELL, Feixa Llarga SN, 08907, L'Hospitalet de Llobregat, Spain.
Neus FullanaPathology Department, Hospital Universitari de Bellvitge, Universitat de Barcelona, IDIBELL, Feixa Llarga SN, 08907, L'Hospitalet de Llobregat, Spain.
Dolors CuevasPathology Department, Hospital Universitari Arnau de Vilanova, Universitat de Lleida, IRBLleida, CIBERONC, Av Rovira Roure 80, 25198, Lleida, Spain.
Marta VaqueroPathology Department, Hospital Universitari Arnau de Vilanova, Universitat de Lleida, IRBLleida, CIBERONC, Av Rovira Roure 80, 25198, Lleida, Spain.
Astrid BirnbaumStädtisches Klinikum Dessau Institut für Pathologie, Dessau-Roßlau, Germany.
Karsten NeumannStädtisches Klinikum Dessau Institut für Pathologie, Dessau-Roßlau, Germany.
Xavier Matias-GuiuPathology Department, Hospital Universitari de Bellvitge, Universitat de Barcelona, IDIBELL, Feixa Llarga SN, 08907, L'Hospitalet de Llobregat, Spain. fjmatiasguiu.lleida.ics@gencat.cat.ORCID http://orcid.org/0000-0002-7201-6605
Universitat de Lleida · ESBellvitge University Hospital · ESStädtisches Klinikum Dessau · DE

Funding

Fundación Científica Asociación Española Contra el Cáncer GCTRA1804MATIInstituto de Salud Carlos III CM20/00110
6 · The paper itself

Abstract

The TCGA-based molecular classification of endometrial cancer has emerged as an important tool to stratify patients according to prognosis. A simplified scheme has been proposed, by using immunohistochemistry for p53, MSH6, and PMS2 and a molecular test for POLE mutations (NGS or Sanger sequencing, techniques that are not available in many centers worldwide). In this study, we validate a novel method that allows simultaneous analysis of multiple pathogenic POLE mutations. The Modaplex technology integrates polymerase chain reaction and capillary electrophoresis. The design of this study encompassed 4 different steps: (1) a retrospective-pilot phase, with 80 tumors, balancing the four molecular subgroups. (2) A retrospective phase of 25 tumors obtained between 2016 and 2020, and 30 tumors obtained between 2000 and 2015. (3) An inter-laboratory corssavalidation step with 19 cases (belonging to phases 1 and 2). (4) A prospective cohort of 123 tumors, of unknown POLE status, with simultaneous validation by Sanger sequencing. A total of 258 samples were analyzed. In the first and second phases, the test showed positive/negative predictive values of 100%, by correctly identifying POLE mutation status in 79/79 and 55/55 cases. Phase 3 showed 100% of inter-laboratory consistency. Phase 4 showed 16 positive samples out of the 123 prospective cases. Overall, the test has revealed sensitivity and specificity of 100%, identifying a total of 47 POLE-mutated tumors. We have shown that this technique allows faster and easier identification of multiple pathogenic POLE mutations with high robustness and confidence when comparing to other tests such as Sanger sequencing.

Indexed as

Endometrial NeoplasmsFemaleHumansMutationPoly-ADP-Ribose Binding ProteinsPredictive Value of TestsRetrospective StudiesSensitivity and SpecificityPoly-ADP-Ribose Binding ProteinsBiotypeEndometrial carcinomaMolecular classificationPOLE mutation

Identifiers

PMID37874375
PMCPMC10700217
OpenAlexW4387893842

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.