Protein co-expression network-based profiles revealed from laser-microdissected cancerous cells of lung squamous-cell carcinomas.
Ontology highlight
ABSTRACT: No therapeutic targets have been identified for lung squamous cell cancer (SqCC) which is the second most prevalent lung cancer because its molecular profiles remain unclear. This study aimed to unveil disease-related protein networks by proteomic and bioinformatic assessment of laser-microdissected cancerous cells from seven SqCCs compared with eight representative lung adenocarcinomas. We identified three network modules significant to lung SqCC using weighted gene co-expression network analysis. One module was intrinsically annotated to keratinization and cell proliferation of SqCC, accompanied by hypoxia-induced aerobic glycolysis, in which key regulators were activated (HIF1A, ROCK2, EFNA1-5) and highly suppressed (KMT2D). The other two modules were significant for translational initi
SUBMITTER: Nishimura T
PROVIDER: S-EPMC8511190 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature
ACCESS DATA