Identifying General Tumor and Specific Lung Cancer Biomarkers by Transcriptomic Analysis.

ABSTRACT: The bioinformatic pipeline previously developed in our research laboratory is used to identify potential general and specific deregulated tumor genes and transcription factors related to the establishment and progression of tumoral diseases, now comparing lung cancer with other two types of cancer. Twenty microarray datasets were selected and analyzed separately to identify hub differentiated expressed genes and compared to identify all the deregulated genes and transcription factors in common between the three types of cancer and those unique to lung cancer. The winning DEGs analysis allowed to identify an important number of TFs deregulated in the majority of microarray datasets, which can become key biomarkers of general tumors and specific to lung cancer. A coexpression network was con

SUBMITTER: Otalora-Otalora BA 

PROVIDER: S-EPMC9313083 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature