Sipeng Shen

Ph.D.

Nanjing Medical University

Assistant Professor

PLCO (Learn more about this study)

PLCO-731

Feb 5, 2021

Integrative large-scale transcriptome-wide association studies for non-small cell lung cancer survival based on PLCO database

Lung cancer, predominantly non-small cell lung cancer (NSCLC) which constitutes more than 85% of all lung cancers, is the most commonly diagnosed malignancy and is a leading cause of cancer-related deaths worldwide. Although a large proportion of variability in complex human traits is due to genetic variation, the mechanistic steps between variants and traits are generally hard to understand. However, the relationship between gene expression and traits has been investigated deeply, such as the PLCO database. Given that the majority of variants discovered by GWAS studies are likely to influence gene expression, transcriptional variables based on gene expression could constitute an alternative to classical genetic variables.

Previous studies have demonstrated transcriptional risk scores (TRS) performed better than the genetic risk scores (GRS) in the field of cancer risk. When the clinical outcome come to the overall survival, it is important to investigate whether transcriptional prognostic scores (TPS) with gene expression could perform better than classical genetic prognostic scores (GPS). Therefore, we are going to develop a genome-wide transcriptional prognostic signature generated from genetic variants for NSCLC survival and compare it with GPS.