Prognostic markers of inflammation in endometrioid and clear cell ovarian cancer.


Journal

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
ISSN: 1525-1438
Titre abrégé: Int J Gynecol Cancer
Pays: England
ID NLM: 9111626

Informations de publication

Date de publication:
01 08 2022
Historique:
pubmed: 20 4 2022
medline: 4 8 2022
entrez: 19 4 2022
Statut: epublish

Résumé

Cancer-related systemic inflammation has been associated with prognosis in multiple cancer types. Conversely, local inflammation, which is characterized by dense intratumoral immune infiltrates, is a favorable predictor of survival outcome. However, these survival associations are not well established in ovarian cancer, particularly in the less frequent endometrioid and clear cell endometriosis associated histotypes. This retrospective study included 119 patients (63 endometrioid and 56 clear cell ovarian carcinomas). We performed a comprehensive survival association analysis of both systemic (neutrophil-to-lymphocyte ratio or presence of endometriosis) and local inflammation markers (CD3+ and CD8+ tumor infiltrating lymphocytes) using multivariate Cox proportional hazards models that account for confounding factors. Medium to high levels of intraepithelial CD8+ tumor infiltrating lymphocytes are associated with longer survival in endometrioid ovarian cancer (p=0.04). In addition, we found that intraepithelial CD8+ tumor infiltrating lymphocytes are prognostic in clear cell ovarian cancer (p=0.02), and that intraepithelial CD3+ tumor infiltrating lymphocytes are also associated with improved outcome (p=0.02). Furthermore, intratumoral CD3+ and CD8+ tumor infiltrating lymphocytes showed improved prognosis in the endometrioid subtype (p<0.1). No prognostic value was observed for systemic immune markers. In this study, patients with endometrioid and clear cell ovarian cancer with moderate to high CD8+ and CD3+ intraepithelial tumor infiltrating lymphocytes had longer overall survival. Higher expression of intratumoral CD3+ and CD8+ tumor infiltrating lymphocytes also showed an improved outcome in endometrioid ovarian cancer. In contrast, systemic inflammation, evaluated by neutrophil-to-lymphocyte ratio or presence of endometriosis, did not have a prognostic impact in these histologic subtypes.

Identifiants

pubmed: 35437272
pii: ijgc-2022-003353
doi: 10.1136/ijgc-2022-003353
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1009-1016

Informations de copyright

© IGCS and ESGO 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: AG reports honoraria and advisory/consultancy (Pharmamar), travel/accommodation/expenses (Roche, Tesaro-GSK, Pierre-Fabre, Pharmamar, MSD), speakers bureau (Roche, Clovis, Astra Zeneca, MSD) outside the submitted work. MM reports having received honoraria (MSD, AstraZeneca and GSK), research grant/funding to her institution (Eisai and PharmaMar), and travel/accommodation/expenses (AstraZeneca, GSK, PharmaMar, Roche and Pfizer) outside the submitted work. GM is a founder, director and shareholder of Tailor Bio Ltd, a genomics company using copy number signatures for precision medicine. AR reports having received honoraria and providing advisory/consultancy services (MSD, AstraZeneca, Roche, GSK, Clovis, PharmaMar, Amgen), research grant/funding to his institution (Eisai, PharmaMar, Roche), travel/accommodation/expenses (AstraZeneca, Tesaro: A GSK Company, PharmaMar, Roche), and participating in a speakers bureau (MSD, AstraZeneca, Roche, GSK, Clovis, PharmaMar) outside the submitted work.

Auteurs

Alejandro Gallego (A)

Department of Medical Oncology, La Paz University Hospital, Madrid, Spain.

Marta Mendiola (M)

Molecular Pathology and Therapeutic Targets Group, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.
Center for Biomedical Research in the Cancer Network (Centro de Investigación Biomédica en Red de Cáncer, CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.

Barbara Hernando (B)

Computational Oncology Group, Structural Biology Department, CNIO, Madrid, Spain.

Alberto Berjon (A)

Molecular Pathology and Therapeutic Targets Group, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.
Department of Pathology, La Paz University Hospital, Madrid, Spain.

Alice Cadiz (A)

Computational Oncology Group, Structural Biology Department, CNIO, Madrid, Spain.

Blas Chaves-Urbano (B)

Computational Oncology Group, Structural Biology Department, CNIO, Madrid, Spain.

Victoria Heredia-Soto (V)

Translational Oncology Research Laboratory, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.

Emanuela Spagnolo (E)

Department of Obstetrics & Gynecology, La Paz University Hospital, Madrid, Spain.

Alicia Hernández Gutiérrez (A)

Department of Obstetrics & Gynecology, La Paz University Hospital, Madrid, Spain.
Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.

David Hardisson (D)

Molecular Pathology and Therapeutic Targets Group, Hospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.
Center for Biomedical Research in the Cancer Network (Centro de Investigación Biomédica en Red de Cáncer, CIBERONC), Instituto de Salud Carlos III, Madrid, Spain.
Department of Pathology, La Paz University Hospital, Madrid, Spain.
Faculty of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.

Geoff Macintyre (G)

Computational Oncology Group, Structural Biology Department, CNIO, Madrid, Spain.

Andres Redondo (A)

Department of Medical Oncology, La Paz University Hospital, Madrid, Spain andres.redondos@uam.es mjgarcia@cnio.es.
Cátedra UAM-ANGEM, Faculty of Medicine, Universidad Autonoma de Madrid, Madrid, Spain.

Maria Jose Garcia (MJ)

Computational Oncology Group, Structural Biology Department, CNIO, Madrid, Spain andres.redondos@uam.es mjgarcia@cnio.es.

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Classifications MeSH