Transcriptomics

Dataset Information

0

Development of a 6-gene mesothelioma-specific prognostic signature using whole transcriptomic analysis of mouse and human tumors


ABSTRACT: Background: Mesothelioma is an aggressive, fatal cancer that is inextricably linked to asbestos exposure. Recent trials using a combination of the immune checkpoint inhibitors ipilimumab and nivolumab has significantly improved treatment outcomes, however durable treatment responses remain restricted to a subset of patients (15-20%), highlighting the need to identify strategies that better predict treatment response. Method: Here, we performed RNAseq on a large tumor biobank from genetically diverse mouse model, CC-MexTAg model to compare gene expression profiles of tumors from mice with different overall survival to develop a prognostic gene signature. Results: while the variation in gene expression data of tumors did not associate with 3-fold variation in overall survival of CC-MexTAg mice, we identified two distinct tumor clusters characterized with immune and non-immune phenotypes, in which immune cluster tumours showed the better potential of response to cancer therapies. We used 20 hub genes associated with these tumor phenotypes to develop a 6-gene signature that could predict survival in four independent mesothelioma datasets and showed a potential to respond to cancer immunotherapy.

ORGANISM(S): Mus musculus

PROVIDER: GSE232512 | GEO | 2024/02/15

REPOSITORIES: GEO

Similar Datasets

2023-11-17 | MODEL2310150001 | BioModels
| phs001041 | dbGaP
2022-05-31 | GSE171484 | GEO
2015-12-31 | E-GEOD-67496 | biostudies-arrayexpress
2023-04-13 | GSE224450 | GEO
2024-01-01 | GSE202361 | GEO
2021-10-01 | GSE185107 | GEO
2023-01-27 | GSE223395 | GEO
2018-12-14 | GSE113803 | GEO
| 2631240 | ecrin-mdr-crc