CD3-CD8 immune score associated with a clinical score stratifies PDAC prognosis regardless of adjuvant or neoadjuvant chemotherapy.

Biomarkers CD3 CD8 PDAC immune score prognostic

Journal

Oncoimmunology
ISSN: 2162-402X
Titre abrégé: Oncoimmunology
Pays: United States
ID NLM: 101570526

Informations de publication

Date de publication:
2024
Historique:
medline: 4 1 2024
pubmed: 4 1 2024
entrez: 3 1 2024
Statut: epublish

Résumé

Stratification of the prognosis of pancreatic cancer (PDAC) patients treated by surgery is based solely on clinical variables, such as tumor stage and node status. The development of biomarkers of relapse is needed, especially to drive administration of adjuvant therapy in this at-risk population. Our study evaluates the prognostic performance of a CD3- and CD8-based immune score. CD3, CD8 and Foxp3 expression were evaluated on whole slides in two retrospective PDAC cohorts totaling 334 patients. For this study, we developed an immune score to estimate CD3 and CD8 infiltration in both tumor core and invasive margin using computer-guided analysis with QuPath software. Variables were combined in a dichotomous immune score. The association between immune and clinical scores, and both PFS and OS was investigated. We observed that a dichotomous immune score predicts both PFS and OS of localized PDAC. By univariate and multivariate analysis, immune score, tumor grade, adjuvant therapy, lymph node status, and adjuvant chemotherapy administration were associated with PFS and OS. We subsequently associated the PDAC immune score and clinical variables in a combined score. This combined score predicted patient outcomes independently of adjuvant or neoadjuvant treatment, and improved patient prognostic prediction compared to clinical variables or immune score alone.

Identifiants

pubmed: 38169969
doi: 10.1080/2162402X.2023.2294563
pii: 2294563
pmc: PMC10761164
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2294563

Informations de copyright

© 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.

Déclaration de conflit d'intérêts

No potential conflict of interest was reported by the author(s).

Auteurs

Coralie Schoumacher (C)

Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France.

Valentin Derangère (V)

Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France.
INSERM LNC-UMR1231 Research Center, TIRECS Team, Dijon, France.

Gwladys Gaudillière-Le Dain (G)

Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France.

Titouan Huppe (T)

Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France.

David Rageot (D)

Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France.
INSERM LNC-UMR1231 Research Center, TIRECS Team, Dijon, France.

Alis Ilie (A)

Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France.

Angélique Vienot (A)

Department of Medical Oncology, CHU Besançon, Besançon, France.

Christophe Borg (C)

Department of Medical Oncology, CHU Besançon, Besançon, France.

Franck Monnien (F)

Department of Pathology, CHU Besançon, Besançon, France.

Frederic Bibeau (F)

Department of Pathology, CHU Besançon, Besançon, France.

Caroline Truntzer (C)

Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France.
INSERM LNC-UMR1231 Research Center, TIRECS Team, Dijon, France.

François Ghiringhelli (F)

Cancer Biology Transfer Platform, Centre Georges-François Leclerc, Dijon, France.
INSERM LNC-UMR1231 Research Center, TIRECS Team, Dijon, France.
Genetic and Immunology Medical Institute, GIMI, Dijon, France.
Department of Medical Oncology, Centre Georges-François Leclerc, Dijon, France.

Classifications MeSH