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Non-small cell lung cancer proteome subtypes expose targetable oncogenic drivers and immune evasion mechanisms

Proteome-level data of non-small cell lung cancer remains limited. In this study, we have collected 141 cases, and performed histological review, methylation profiling (113), custom panel sequencing (140), microarray expression profiling (118) and mass-spectrometry based proteomics (141). We identified six distinct groups of patients driven by histology, growth pattern, immune cell infiltration, druggable driver mutations, and hypomethylation-associated neoantigen burden. We validated the subtypes in independent proteomics datasets. Proteomics can refine treatment-oriented subtyping of non-small cell lung cancer.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001007918 Illumina NovaSeq 6000 140
Publications Citations
Proteogenomics of non-small cell lung cancer reveals molecular subtypes associated with specific therapeutic targets and immune evasion mechanisms.
Nat Cancer 2: 2021 1224-1242
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