학술논문
Datasets for gene expression profiles of head and neck squamous cell carcinoma and lung cancer treated or not by PD1/PD-L1 inhibitors
Document Type
article
Author
Jean-Philippe Foy; Andy Karabajakian; Sandra Ortiz-Cuaran; Maxime Boussageon; Lucas Michon; Jebrane Bouaoud; Dorssafe Fekiri; Marie Robert; Kim-Arthur Baffert; Geneviève Hervé; Pauline Quilhot; Valéry Attignon; Angélique Girod; André Chaine; Mourad Benassarou; Philippe Zrounba; Christophe Caux; François Ghiringhelli; Sylvie Lantuejoul; Carole Crozes; Isabelle Brochériou; Maurice Pérol; Jérôme Fayette; Chloé Bertolus; Pierre Saintigny
Source
Data in Brief, Vol 44, Iss , Pp 108556- (2022)
Subject
Language
English
ISSN
2352-3409
Abstract
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.