Evidence map›Paper›PMID 35145232›Full record

ArticleOncogene2022

Intratumor genetic heterogeneity and clonal evolution to decode endometrial cancer progression.

Alba Mota, Sara S Oltra, Pier Selenica, Cristian P Moiola, Carlos Casas-Arozamena, Carlos López-Gil, Eva Diaz, Sonia Gatius, María Ruiz-Miro, Ana Calvo and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Oncogene, 2022. 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
4.5field-weighted citation impact, top 4% 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, 46 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

21 authors at 8 institutions in 3 countries.

Alba Mota *MD Anderson International Foundation, 28033, Madrid, Spain.
Sara S Oltra *MD Anderson International Foundation, 28033, Madrid, Spain.
Pier SelenicaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Cristian P MoiolaCentro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029, Madrid, Spain.
Carlos Casas-ArozamenaTranslational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela (IDIS), University Hospital of Santiago de Compostela (SERGAS), Trav. Choupana s/n, 15706, Santiago de Compostela, Spain.ORCID http://orcid.org/0000-0002-3279-2482
Carlos López-GilBiomedical Research Group in Gynecology, Vall Hebron Institute of Research, Universitat Autònoma de Barcelona, 08035, Barcelona, Spain.
Eva DiazMD Anderson International Foundation, 28033, Madrid, Spain.
Sonia GatiusDepartment of Pathology, Hospital U Arnau de Vilanova, University of Lleida, IRBLLEIDA, Lleida, Spain.
María Ruiz-MiroBiobank, IRBLLEIDA, Lleida, Spain.
Ana CalvoDepartment of Gynecology, Hospital U Arnau de Vilanova, IRBLLEIDA, Lleida, Spain.
Alejandro Rojo-SebastiánCentro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029, Madrid, Spain.
Pablo HurtadoRoche-Chus Joint Unit, Translational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela (IDIS), Travesía da Choupana s/n, 15706, Santiago de Compostela, Spain.
Roberto PiñeiroRoche-Chus Joint Unit, Translational Medical Oncology Group (Oncomet), Health Research Institute of Santiago de Compostela (IDIS), Travesía da Choupana s/n, 15706, Santiago de Compostela, Spain.ORCID http://orcid.org/0000-0001-9479-139X
Eva ColasCentro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029, Madrid, Spain.
Antonio Gil-MorenoCentro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029, Madrid, Spain.ORCID http://orcid.org/0000-0003-1106-5590
Jorge S Reis-FilhoDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.ORCID http://orcid.org/0000-0003-2969-3173
Laura Muinelo-RomayCentro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029, Madrid, Spain.
Miguel AbalCentro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029, Madrid, Spain.ORCID http://orcid.org/0000-0003-3533-7781
Xavier Matias-GuiuCentro de Investigación Biomédica en Red de Cáncer (CIBERONC), 28029, Madrid, Spain.
Britta WeigeltDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Gema Moreno-BuenoMD Anderson International Foundation, 28033, Madrid, Spain. gmoreno@iib.uam.es.ORCID http://orcid.org/0000-0002-5030-6687
Instituto de Investigación Sanitaria de Santiago · ESUniversitat Autònoma de Barcelona · ESInstituto de Investigaciones Biomédicas Sols-Morreale · ESMemorial Sloan Kettering Cancer Center · USUniversitat de Lleida · ESHebron University · PSInstituto de Investigación Biomédica de Lleida · ESMD Anderson Cancer Center Madrid · ES

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Targeting Polθ to Overcome PARP Inhibitor Resistance in Homologous Recombination Deficient Breast CancerP50CA247749 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Simon N. Powell · 2020 to 2026
$16.3M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA247749
6 · The paper itself

Abstract

Analyzing different tumor regions by next generation sequencing allows the assessment of intratumor genetic heterogeneity (ITGH), a phenomenon that has been studied widely in some tumor types but has been less well explored in endometrial carcinoma (EC). In this study, we sought to characterize the spatial and temporal heterogeneity of 9 different ECs using whole-exome sequencing, and by performing targeted sequencing validation of the 42 primary tumor regions and 30 metastatic samples analyzed. In addition, copy number alterations of serous carcinomas were assessed by comparative genomic hybridization arrays. From the somatic mutations, identified by whole-exome sequencing, 532 were validated by targeted sequencing. Based on these data, the phylogenetic tree reconstructed for each case allowed us to establish the tumors' evolution and correlate this to tumor progression, prognosis, and the presence of recurrent disease. Moreover, we studied the genetic landscape of an ambiguous EC and the molecular profile obtained was used to guide the selection of a potential personalized therapy for this patient, which was subsequently validated by preclinical testing in patient-derived xenograft models. Overall, our study reveals the impact of analyzing different tumor regions to decipher the ITGH in ECs, which could help make the best treatment decision.

Indexed as

Endometrial NeoplasmsGenetic HeterogeneityClonal EvolutionComparative Genomic HybridizationDNA Copy Number VariationsFemaleHumansMutationPhylogeny

Identifiers

PMID35145232
PMCPMC8956509
OpenAlexW4210992203

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.