Association of biobehavioral factors with non-coding RNAs in cervical cancer

Qiyu Liu, Chong Lu, Wanjun Dai, Ke Li, Jing Xu, Yunke Huang, Guiling Li, Yu Kang, Anil K. Sood, Congjian Xu

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

In order to elucidate the mechanisms underlying the biobehavioral factors responsible for cervical cancer from the perspective of lncRNAs. Tumor samples were obtained from patients with stage Ib-IIb squamous cervical cancer, which were divided into high- and low-risk groups according to biobehavioral risk factors. A lncRNA + mRNA microarray was performed, and the results were validated using qRT-PCR. Gene ontology (GO), pathway, and lncRNA-mRNA co-expression analysis were performed to predict the potential functions of the differentially expressed transcripts. 1,621 lncRNAs and 1,345 mRNAs were found to be differentially expressed between the high-risk and low-risk groups. The results of the qRT-PCR validation were in 100% agreement with the microarray analysis results. GO analysis revealed that the transcripts showing significantly different expression were mainly associated with various aspects of immune response. Pathway analysis indicated that systemic lupus erythematosus signaling was the most significantly down-regulated pathway in the high-risk group. Co-expression analysis indicated NONHSAT002712, NONHSAT095060, and TCONS_00026535 had significant correlations with ZNF683 and BTLA, which were found to be associated with the GO term "adaptive immune response". The levels of genome-wide lncRNAs are significantly altered in cervical tumors from patients with higher biobehavioral risk factors.

Original languageEnglish (US)
Pages (from-to)24-31
Number of pages8
JournalBioScience Trends
Volume12
Issue number1
DOIs
StatePublished - 2018

Keywords

  • Adaptive immune response
  • Biobehavioral factor
  • Cervical cancer
  • Psychoimmunology

ASJC Scopus subject areas

  • Health(social science)
  • General Biochemistry, Genetics and Molecular Biology

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