Expression quantitative trait loci in long non-coding RNA PAX8-AS1 are associated with decreased risk of cervical cancer.

Paired box 8 (PAX8) is a crucial nephric-lineage transcription factor, and its aberrant expression has been detected in various types of cancer including Müllerian carcinomas. PAX8 antisense RNA 1 (PAX8-AS1), a potential regulator of PAX8, contains specific single nucleotide polymorphisms (SNPs) that may represent expression quantitative trait loci (eQTLs) for PAX8. In this study, we hypothesized that these eQTLs SNPs in PAX8-AS1 may influence the risk of cervical cancer. A case-control study of 1486 cervical cancer patients and 1536 cancer-free controls was conducted to identify the associations between two eQTLs SNPs (rs4848320 and rs1110839) and cervical cancer. Logistic regression analyses revealed that variant allele T of rs4848320 (recessive model: adjusted OR = 0.61, 95 % CI = 0.38-0.97, P = 0.027) and G of rs1110839 (additive model: adjusted OR = 0.88, 95 % CI = 0.79-0.99, P = 0.032) were associated with decreased risk of cervical cancer. Moreover, the haplotype containing variant alleles of the two SNPs significantly decreased the risk of cervical cancer compared to the most frequent haplotype (adjusted OR = 0.82, 95 % CI = 0.70-0.95, P = 0.009). These findings indicate that PAX8 eQTLs SNPs may serve as novel susceptibility markers for cervical cancer.

PAX8-AS1/microRNA-25-3p/LATS2 regulates malignant progression of ovarian cancer via Hippo signaling.

BACKGROUND: Ovarian cancer (OC) is a frequent malignancy of the female reproductive system. Recently, the aberrant expression of numerous lncRNAs has been confirmed as a key factor for cancer development. The regulatory role of PAX8-AS1 in some cancers has been investigated, but its role in OC progression remains unclear. This study focuses on the role and molecular mechanism of PAX8-AS1 in the malignant progression of OC. METHODS: Bioinformatics means were adopted to analyze the expression of PAX8-AS1, microRNA-25-3p, and LATS2 in OC tissues and the binding sites between the three. qRT-PCR was employed to determine the expression of these genes in OC cells. CCK-8, colony formation, scratch healing, and Transwell assays were used to see cell viability, proliferation, migration, and invasion, respectively. Fluorescence in situ Hybridization was performed to probe the subcellular localization of PAX8-AS1. Western blot was applied to evaluate the expression and phosphorylation levels of YAP and TAZ, and an immunofluorescence assay was used to detect the translocation of them. Dual luciferase assay was applied to validate the binding relationship between PAX8-AS1 and microRNA-25-3p, as well as between microRNA-25-3p and LATS2. RESULTS: PAX8-AS1 and LATS2 were lowly expressed. MicroRNA-25-3p was highly expressed in OC. PAX8-AS1 was expressed in cytoplasm and regulated LATS2 expression by sponging microRNA-25-3p. Overexpressing PAX8-AS1 can suppress the malignant behaviors of OC cells, whereas treatment with microRNA-mimic can reverse these results. In addition, the phosphorylation levels of YAP and TAZ increased upon oe-LATS2 treatment, and oe-LATS2 could promote YAP and TAZ translocate from the nucleus to cytoplasm. Rescue experiments demonstrated that sh-PAX8-AS1 fostered malignant progression of OC, which was reversed by simultaneous oe-LATS2. CONCLUSION: In summary, PAX8-AS1/microRNA-25-3p/LATS2 regulated the malignant progression of OC through Hippo signaling, which suggested that PAX8-AS1/microRNA-25-3p/LATS2 axis may be a novel target for OC treatment.

Identification and clinical value of a new ceRNA axis (TIMP3/hsa-miR-181b-5p/PAX8-AS1) in thyroid cancer.

Background: Thyroid cancer (TC) is a prevalent and increasingly common malignant tumor. In most cases, TC progresses slowly and runs a virtually benign course. However, challenges remain with the treatment of refractory TC, which does not respond to traditional management or is subject to relapse or metastasis. Therefore, new therapeutic regimens for TC patients with poor outcomes are urgently needed. Methods: The differentially expressed RNAs were identified from the expression profile data of RNA from TC downloaded from The Cancer Genome Atlas database. Multiple databases were utilized to investigate the regulatory relationship among RNAs. Subsequently, a competitive endogenous RNA (ceRNA) network was established to elucidate the ceRNA axis that is responsible for the clinical prognosis of TC. To understand the potential mechanism of ceRNA axis in TC, location analysis, functional enrichment analysis, and immune-related analysis were conducted. Results: A ceRNA network of TC was constructed, and the TIMP3/hsa-miR-181b-5p/PAX8-AS1 ceRNA axis associated with the prognosis of TC was successfully identified. Our results showed that the axis might influence the prognosis of TC through its regulation of regulating tumor immunity. Conclusions: Our findings provide evidence that TIMP3/hsa-miR-181b-5p/PAX8-AS1 axis is significantly related to the prognosis of TC. The molecules involved in this axis may serve as novel therapeutic approaches for TC treatment.

PAX8/PAX8-AS1 DNA methylation levels are associated with objective sleep duration in persons with unexplained hypersomnolence using a deep phenotyping approach.

STUDY OBJECTIVES: Patients with unexplained hypersomnolence have significant impairment related to daytime sleepiness and excessive sleep duration, the biological bases of which are poorly understood. This investigation sought to examine relationships between objectively measured hypersomnolence phenotypes and epigenetic modification of candidate hypersomnolence genes to advance this line of inquiry. METHODS: Twenty-eight unmedicated clinical patients with unexplained hypersomnolence were evaluated using overnight ad libitum polysomnography, multiple sleep latency testing, infrared pupillometry, and the psychomotor vigilance task. DNA methylation levels on CpG sites annotated to 11 a priori hypersomnolence candidate genes were assessed for statistical association with hypersomnolence measures using independent regression models with adjusted local index of significance (aLIS) P-value threshold of 0.05. RESULTS: Nine CpG sites exhibited significant associations between DNA methylation levels and total sleep time measured using ad libitum polysomnography (aLIS p-value < .05). All nine differentially methylated CpG sites were annotated to the paired box 8 (PAX8) gene and its related antisense gene (PAX8-AS1). Among these nine differentially methylated positions was a cluster of five CpG sites located in the body of the PAX8 gene and promoter of PAX8-AS1. CONCLUSIONS: This study demonstrates that PAX8/PAX8-AS1 DNA methylation levels are associated with total sleep time in persons with unexplained hypersomnolence. Given prior investigations that have implicated single nucleotide polymorphisms in PAX8/PAX8-AS1 with habitual sleep duration, further research that clarifies the role of DNA methylation levels on these genes in the phenotypic expression of total sleep time is warranted.