Cheng, LixinLixinChengZheng, XubinXubinZhengZhang, NingNingZhangGao, JingJingGaoProf. LEUNG Kwong SakWong, Man-HonMan-HonWongYang, ShuShuYangLiu, YakunYakunLiuDong, MingMingDongBai, HuiminHuiminBaiKang, LinLinKangLi, HailiHailiLi2023-10-172023-10-172022bioRxiv, 2022.2692-8205http://hdl.handle.net/20.500.11861/8279Understanding the regulatory mechanisms in serous ovarian carcinoma (SOC) is critical for its diagnosis and targeted therapy. However, some critical motifs in the competing endogenous RNA (ceRNA) network in SOC were still undiscovered. We profiled a whole transcriptome of eight human SOCs and eight controls and constructed a ceRNA network including mRNAs, lncRNAs, and circRNAs. We hypothesized the noncoding RNA’s competing endogenous gene pairs (ceGPs) relationship for the mRNA–ncRNA–mRNA motifs in the ceRNA network. Then, we proposed the denoised individualized pair analysis of gene expression (deiPAGE) to identify mRNA–ncRNA–mRNA motifs from integrated multi-cohorts. 18 cricRNA’s ceGPs (cceGPs) were identified and fused as an indicator (SOC index) for SOC discrimination, which carried a high predictive capacity in independent cohorts. The index was negatively correlated with the CD8+/CD4+ ratio in tumour-infiltration, reflecting the migration and growth of tumour cells in ovarian cancer progression.enSerous Ovarian CancerTranscriptomeCircRNACeRNABiomarkerGene PairPeer Reviewed Journal Article10.1101/2022.04.04.486923