Human lung cancer data independent acquisition validation tissue cohort

ABSTRACT: In this project, two NSCLC cohorts were analyzed by Data Independent Acquisition (DIA-MS). A cohort of early stage NSCLC samples (141) as well as an additional cohort of late stage NSCLC samples (84) with the aim to demonstrate utility of MS for subtyping and treatment prediction in a clinical setting. Further, six identified NSCLC proteome subtypes were investigated in relation to cancer driver pathways and immune phenotypes based on the generated MS-data.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Lung

DISEASE(S): Non-small Cell Lung Carcinoma

SUBMITTER: Georgios Mermelekas  

LAB HEAD: Janne Lehtio

PROVIDER: PXD020548 | Pride | 2021-09-13

REPOSITORIES: Pride