Abstract
Cervical cancer (CC) as a single diagnostic entity exhibits differences in clinical behavior and poor outcomes in response to therapy in advanced tumors. Although infection of high-risk human papillomavirus is recognized as an important initiating event in cervical tumorigenesis, stratification of CC into subclasses for progression and response to treatment remains elusive. Existing knowledge of genetic, epigenetic and transcriptional alterations is inadequate in addressing the issues of diagnosis, progression and response to treatment. Recent technological advances in high-throughput genomics and the application of integrative approaches have greatly accelerated gene discovery, facilitating the identification of molecular targets. In this article, we discuss the results obtained by preliminary integrative analysis of DNA copy number increases and gene expression, utilizing the two most common copy number-gained regions of 5p and 20q in identifying gene targets in CC. These analyses provide insights into the roles of genes such as RNASEN, POLS and SKP2 on 5p, KIF3B, RALY and E2F1 at 20q11.2 and CSE1L, ZNF313 and B4GALT5 at 20q13.13. Future integrative applications using additional datasets, such as mutations, DNA methylation and clinical outcomes, will raise the promise of accomplishing the identification of biological pathways and molecular targets for therapies for patients with CC.