Three-Dimensional Genome Interactions Identify Potential Adipocyte Metabolism-Associated Gene STON1 and Immune-Correlated Gene FSHR at the rs13405728 Locus in Polycystic Ovary Syndrome.

Background: rs13405728 was identified as one of the most prevalent susceptibility loci for polycystic ovary syndrome (PCOS) in Han Chinese and Caucasian women. However, the target genes and potential mechanisms of the rs13405728 locus remain to be determined. Methods: Three-dimensional (3D) genome interactions from the ovary tissue were characterized via high-through chromosome conformation capture (Hi-C) and Capture Hi-C technologies to identify putative targets at the rs13405728 locus. Combined analyses of eQTL, RNA-Seq, DNase-Seq, ChIP-Seq, and sing-cell sequencing were performed to explore the molecular roles of these target genes in PCOS. PCOS-like mice were applied to verify the expression patterns. Results: Generally, STON1 and FSHR were identified as potential targets of the rs13405728 locus in 3D genomic interactions with epigenomic regulatory peaks, with STON1 (P=0.0423) and FSHR (P=0.0013) being highly expressed in PCOS patients. STON1 co-expressed genes were associated with metabolic processes (P=0.0008) in adipocytes (P=0.0001), which was validated in the fat tissue (P<0.0001) and ovary (P=0.0035) from fat-diet mice. The immune system process (GO:0002376) was enriched in FSHR co-expressed genes (P=0.0002) and PCOS patients (P=0.0002), with CD4 high expression in PCOS patients (P=0.0316) and PCOS-like models (P=0.0079). Meanwhile, FSHR expression was positively correlated with CD4 expression in PCOS patients (P=0.0252) and PCOS-like models (P=0.0178). Furthermore, androgen receptor (AR) was identified as the common transcription factor for STON1 and FSHR and positively correlated with the expression of STON1 (P=0.039) and FSHR (P=4e-06) in ovary tissues and PCOS-like mice. Conclusion: Overall, we identified STON1 and FSHR as potential targets for the rs13405728 locus and their roles in the processes of adipocyte metabolism and CD4 immune expression in PCOS, which provides 3D genomic insight into the pathogenesis of PCOS.

LRP1B mutation is associated with tumor HPV status and promotes poor disease outcomes with a higher mutation count in HPV-related cervical carcinoma and head & neck squamous cell carcinoma.

Human papillomavirus (HPV) infection and gene mutations were reputed as key factors in cervical carcinoma (CC) and head and neck squamous cell carcinoma (HNSCC). However, the associations of HPV status and gene mutations remain to be determined. This study aims to identify molecular patterns of LRP1B mutation and HPV status via rewiring tumor samples of HNSCC (n=1478) and CC (n=178) from the TCGA dataset. Here, we found that LRP1B mutation was associated with HPV status in CC (P=0.040) and HNSCC (P=0.044), especially in HPV 16 integrated CC (P=0.036). Cancer survival analysis demonstrated that samples with LRP1B mutation showed poor disease outcomes in CC (P=0.013) and HNSCC (P=0.0124). In addition, the expression status of LPR1B was more favorable for prediction than TP53 or RB1 in CC and HNSCC. Mutation clustering analysis showed that samples with LRP1B mutation showed higher mutation count in CC (P=1.76e-67) and HNSCC (P<10e-10). Further analysis identified 289 co-occurrence genes in these two cancer types, which were enriched in PI3K signaling, cell division process, and chromosome segregation process, et al. The 289-co-occurrence gene signature identified a cluster of patients with a higher portion of copy number variation (CNV) lost in the genome, different tumor HPV status (P<10e-10), higher mutation count (P<10e-10), higher fraction genome altered value (P=2.078e-4), higher aneuploidy score (P=3.362e-4), and earlier started the smoking year (P=2.572e-4), which were associated with shorter overall survival (P=0.0103) in CC and HNSCC samples. Overall, LRP1B mutation was associated with tumor HPV status and was an unfavorable prognostic biomarker for CC and HNSCC.

Data Mining the Prognostic Biomarkers: miRNAs Targeting the Chemotherapeutic Agent 5-Fluorouracil in Colon Cancer.

BACKGROUND: Colon cancer is one of the most common and has the highest mortality rate in the world. MicroRNAs (miRNAs) as potential biomarkers play crucial roles in diagnosis, prognosis, and drug-response prediction of colon cancer. METHODS: In this study, we collected miRNA expression data from the Broad GDAC Firehose and screened specific miRNA-gene pairs after treatment with 5-fluorouracil treatment and used COAD analysis to study the association of miRNAs and inhibitor of the inhibitory genes. Potential drug-related miRNAs were further extracted via hypergeometric testing. RESULTS: The results showed that 13,651 miRNA-gene pairs were retrieved, including 242 miRNAs and 5,179 genes. The association between miRNAs and the inhibitor of inhibitory genes DPYD, TYMS, UNG was indicated. We further extracted 4 potential drug-related miRNAs, including hsa-mir-551a, hsa-mir-144, hsa-mir-519b, hsa-mir-506. The miRNA-gene pairs associated with 5-fluorouracil exhibit better prognosis in patients with CRC. CONCLUSIONS: We expected that up-regulation of hsa-mir-551a, hsa-mir-144, and hsa-mir-506 and down-regulation of hsa-mir-519b would exhibit better prognosis. The findings would underpin the fundamental hypothesis of mi-RNAs being prognostic signal biomarkers in therapy of 5-fluorouracil in CRC.

Nomogram predicting cancer-specific mortality in patients with esophageal adenocarcinoma: a competing risk analysis.

BACKGROUND: Many factors are reported to be related to the prognosis of patients with esophageal adenocarcinoma (EAC), but few reliable and straightforward tools for clinicians to estimate individual mortalities have been developed. This study aimed to evaluate the probability of cancer-specific death for patients with EAC and to build nomograms for predicting long-term cancer-specific mortality and overall mortality for EAC patients. METHODS: Between 2004 and 2013, a total of 20,623 patients were identified from the surveillance, epidemiology, and end results (SEER) database and randomly divided into training (N=14,436) and validation (N=6,187) cohorts. The cumulative incidence functions (CIFs) of EAC-specific death and other causes were evaluated at the 1st, 3rd, and 5th year after diagnosis. We integrated the significant prognostic factors to construct nomograms and subjected them to internal and external validation. RESULTS: The CIFs of EAC-specific survival at 1, 3, and 5 years after diagnosis were 60.9%, 37.1%, and 31.3%, respectively. Predictors for cancer-specific mortality for EAC comprised tumor grade, tumor extension, the involvement of lymph nodes, distant metastasis, surgery of primary site, insurance recode, and marital status. For overall mortality, it also included the predictor of age at diagnosis. The nomograms were well-calibrated and had good discriminative ability with concordance indexes (c-indexes) of 0.733, 0.728, and 0.728 for 1-, 3- and 5-year prognosis prediction of EAC-specific mortality respectively, and 0.726, 0.720, 0.719 for 1-, 3-, and 5-year prognosis prediction of overall mortality respectively. CONCLUSIONS: We proposed and validated the effective and convenient nomograms to predict cancer-specific mortality and the overall mortality for patients with EAC, which only require the basic information available in clinical practice.

Independent effect of alanine transaminase on the incidence of type 2 diabetes mellitus, stratified by age and gender: A secondary analysis based on a large cohort study in China.

BACKGROUND: Previous studies have revealed that alanine aminotransferase (ALT) may be one of the risk factors of developing diabetes. We aimed to demonstrate the independent effect of ALT on incident diabetes and to investigate whether the association between ALT and incident diabetes is modified by age and gender in the general Chinese population. METHODS: The present study was a retrospective cohort study, including 210,051 Chinese adult participants. The primary outcome was developing diabetes. The serum ALT activities were stratified by quintiles. We obtained data from 'DATADRYAD' website and used the data for secondary analysis. RESULTS: At a median follow-up of 3.0 y, 4144 of 210,051 (1.97%) participants developed diabetes. After adjustment for potential confounders, a significantly higher risk of the incident diabetes (HR: 1.43, 95% CI: 1.25-1.63) was found in participants in the fifth quintile (Q5, ≥31 U/L) compared to those in the first to fourth quintiles (Q1-4) for ALT activities. Among males aged 30 to 40 and 40 to 50 y with the fifth quintile of ALT activity had 2.4- and 1.5-fold increased odds of developing diabetes, respectively, in comparison with those in the lower ALT activities. Among females with age 30 to 40 and ≥ 70 y, the fifth quintile of ALT activity had 4.9- and 2.2-fold increased odds for incident diabetes. CONCLUSION: Our result indicated that the ALT activity was positively associated with the incident diabetes among Chinese persons. Moreover, 30-40 y individuals, whether male or female, with elevated ALT activities had the greatest increased risk for diabetes compared with persons with lower ALT activities in the same age group.