Investigation of Molecular Features Involved in Clinical Responses and Survival in Advanced Endometrial Carcinoma Treated by Hormone Therapy.

copy number alterations hormone therapy metastatic endometrial carcinoma mutations predictive factors protein expression

Journal

Journal of personalized medicine
ISSN: 2075-4426
Titre abrégé: J Pers Med
Pays: Switzerland
ID NLM: 101602269

Informations de publication

Date de publication:
19 Apr 2022
Historique:
received: 09 03 2022
revised: 12 04 2022
accepted: 13 04 2022
entrez: 28 5 2022
pubmed: 29 5 2022
medline: 29 5 2022
Statut: epublish

Résumé

Hormone therapy (HT) is an effective treatment for metastatic endometrial carcinoma (mEC), with limited toxicity and low cost. We focused on molecular analysis of mECs treated by HT and, for the first time to date, we compared the genomic profiles of paired metastasis and primary ECs. The main objective was to identify predictive factors of the response to HT as well as specific altered signaling pathways driving mEC biology. From 1052 patients with EC treated by HT in two French cancer centers, 32 with endometrioid EC and 6 with high grade serous EC were included. We evaluated hormone receptors (HR) and mismatch repair proteins expression by immunohistochemistry and gene alterations by targeted next-generation sequencing and array-based comparative genomic hybridization. Several variables were tested in univariate and multivariate analyses to identify potential associations with (i) the clinical benefit of HT (CBHT) and (ii) a longer response (>18 months) (LRHT) and overall survival (OS). We compared the biological and genomic profiles of 11 primary/metastatic EC pairs. Thirty tumors (78.9%) were HR-positive and 6 (15.8%) showed microsatellite instability (MSI). The genomic profiles of 34 tumors showed an average altered genome of 3.26%, DNA repair homologous recombination deficiency in five tumors (14.7%), and 17 regions significantly targeted by amplification/deletion. Thirty-three tumors had 273 variants (158 genes, median of 7 mutations/sample), including 112 driver mutations. TP53, PTEN, PPP2R1A, ARID1A, FGFR2, and PIK3CA were the most frequently mutated. Based on the genomic status, nine oncogenic pathways were altered in more than 25% of primary EC. Clinically, 22 (57.9%) and 6 (15.8%) patients presented CBHT and LRHT, respectively. Neither oncogenic pathways alterations nor the variables tested were associated with CBHT and LRHT. Only patient’s age, mitotic index and the presence of at least one HR were associated with OS. Paired analysis of the primary/metastatic samples showed that among the 22 mutations acquired in the metastatic counterparts, the most frequently targeted genes were involved in pathways that might confer a selective advantage to cancer metastasis including hormone resistance. In conclusion, only patient’s age, mitotic index and the presence of at least one HR were associated with OS. The identification of gene mutations newly acquired in metastasis might help to better understand the formation of EC metastasis and select the best actionable candidates for HT-treated patients at the metastatic stage.

Identifiants

pubmed: 35629078
pii: jpm12050655
doi: 10.3390/jpm12050655
pmc: PMC9143816
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Mathias Neron (M)

Department of Surgical Oncology, Institut du Cancer de Montpellier, Univ Montpellier, 34000 Montpellier, France.
Montpellier Cancer Research Institute (IRCM), Univ Montpellier, Inserm, Montpellier Cancer Institute (ICM), 34298 Montpellier, France.

Arnaud Guille (A)

Predictive Oncology Laboratory, Marseille Cancer Research Centre (CRCM), Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University, Label "Ligue Contre le Cancer", 13009 Marseille, France.

Lucie Allegre (L)

Department of Obstetrics & Gynecology, Nimes University Hospital, 30029 Nimes, France.

Pierre-Emmanuel Colombo (PE)

Department of Surgical Oncology, Institut du Cancer de Montpellier, Univ Montpellier, 34000 Montpellier, France.

Cristina Leaha (C)

Department of Pathology, Institut du Cancer de Montpellier, 34000 Montpellier, France.

José Adelaide (J)

Predictive Oncology Laboratory, Marseille Cancer Research Centre (CRCM), Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University, Label "Ligue Contre le Cancer", 13009 Marseille, France.

Nadine Carbuccia (N)

Predictive Oncology Laboratory, Marseille Cancer Research Centre (CRCM), Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University, Label "Ligue Contre le Cancer", 13009 Marseille, France.

Frédéric Courtier (F)

Predictive Oncology Laboratory, Marseille Cancer Research Centre (CRCM), Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University, Label "Ligue Contre le Cancer", 13009 Marseille, France.

Florence Boissiere (F)

Translational Research Unit, Institut du Cancer de Montpellier, 34000 Montpellier, France.

Evelyne Crapez (E)

Translational Research Unit, Institut du Cancer de Montpellier, 34000 Montpellier, France.

Michel Fabbro (M)

Department of Clinical Oncology, Institut du Cancer de Montpellier, 34000 Montpellier, France.

Sébastien Gouy (S)

Department of Surgical Oncology, Gustave Roussy Institute (IGR), 94800 Villejuif, France.

Emilie Mamessier (E)

Predictive Oncology Laboratory, Marseille Cancer Research Centre (CRCM), Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University, Label "Ligue Contre le Cancer", 13009 Marseille, France.

Éric Lambaudie (É)

Predictive Oncology Laboratory, Marseille Cancer Research Centre (CRCM), Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University, Label "Ligue Contre le Cancer", 13009 Marseille, France.
Department of Surgical Oncology, Institut Paoli-Calmettes, 13009 Marseille, France.

Daniel Birnbaum (D)

Predictive Oncology Laboratory, Marseille Cancer Research Centre (CRCM), Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University, Label "Ligue Contre le Cancer", 13009 Marseille, France.

François Bertucci (F)

Predictive Oncology Laboratory, Marseille Cancer Research Centre (CRCM), Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University, Label "Ligue Contre le Cancer", 13009 Marseille, France.

Max Chaffanet (M)

Predictive Oncology Laboratory, Marseille Cancer Research Centre (CRCM), Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes, Aix-Marseille University, Label "Ligue Contre le Cancer", 13009 Marseille, France.

Classifications MeSH