Integrated omics and gene expression analysis identifies the loss of metabolite-metabolite correlations in small cell lung cancer.

ABSTRACT:

Background and objective

Small cell lung cancer (SCLC) is the most aggressive type of lung carcinoma with high metastatic potential and chemoresistance upon relapse. Cancer cells remodel the existing metabolic pathways for their benefits and the perturbations in cellular metabolism are the hallmark of cancer. However, the extent of these changes remains largely unknown for SCLC.

Materials and methods

We characterized the metabolic perturbations in SCLC cells (SCLCC) by metabolomics. Large-scale correlation analysis was performed between metabolites. Targeted proteomics and gene expression analysis were employed to investigate the changes of key enzymes and genes in the disturbed pathways.

Results

We found dramatic decrease of metabolite-metabolite correlations in SCLC

SUBMITTER: Yu L 

PROVIDER: S-EPMC6039056 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature