Datasets for gene expression profiles of head and neck squamous cell carcinoma and lung cancer treated or not by PD1/PD-L1 inhibitors.

Fiche publication

Date publication

octobre 2022

Journal

Data in brief

Auteurs

Membres identifiés du Cancéropôle Est :
Pr GHIRINGHELLI François

Tous les auteurs :
Foy JP, Karabajakian A, Ortiz-Cuaran S, Boussageon M, Michon L, Bouaoud J, Fekiri D, Robert M, Baffert KA, Hervé G, Quilhot P, Attignon V, Girod A, Chaine A, Benassarou M, Zrounba P, Caux C, Ghiringhelli F, Lantuejoul S, Crozes C, Brochériou I, Pérol M, Fayette J, Bertolus C, Saintigny P

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/36111282

Résumé

Identification of tumors harboring an overall active immune phenotype may help for selecting patients with advanced head and neck squamous cell carcinomas (HNSCC) and non-small cell lung cancer (NSCLC) who may benefit from immunotherapies. In this context, we generated targeted gene expression profiles in three and two independent cohorts of patients with HNSCC or NSCLC respectively, treated or not by PD-1/PD-L1 inhibitors. Notably, we generated two datasets including 102 and 82 patients with HNSCC or NSCLC treated with PD-1/PD-L1 inhibitors. Clinical information, including detailed survival raw data, is available for each patient, allowing to test association between gene expression data and patient survival (overall and progression-free survival). Moreover, we also generated gene expression datasets of 27 paired HNSCC samples from diagnostic biopsies and versus surgically resected specimens as well as 33 paired HNSCC samples at initial diagnosis (untreated) and at recurrence. Those datasets may allow to test the stability of a given biomarker across paired samples.