Associated Behavioral Factors and Prevalence of the Common Anorectal Disease Among Uyghur Male Adults of China: A Population-Based Crosssectional Study.

Objectives: We investigated the behavioral associated factors and prevalence of common anorectal disease (hemorrhoids, perianal pruritus, anal fistula, and others) among Uyghur male adults in southern Xinjiang. Methods: We conducted a cross-sectional study with a random sampling method from December 2020 to March 2021. Uyghur males aged 18 years and older were selected from Kashgar Prefecture in Xinjiang. The prevalence was evaluated by a bilingual questionnaire (including socio- demographic information, dietary habit, lifestyle, and behavioral habits) and anorectal examinations. The chi-square test was used for categorical variables. Logistic regression analysis was used to identify potential associated factors.Results: A total of 402 Uygur males aged ≥ 18 years were included in the final analysis. Of those, 192 (47.8%) participants were identified with common anorectal disease (CAD). Older age, lower education attainment, being a farmer, having lower personal annual income, having a high level of alcohol consumption, performing less anus-rinsing after defecation, and having less pubic hair removal were significantly associated with CAD. Conclusions: Common anorectal disease is a significant public health concern for the Uygur male population. Anus-rinsing after defecation and pubic hair removal are ethnic-specific behaviors among Uygur and could be preventive strategies for CAD.

Transcriptome profiles of fatty acid metabolism-related genes and immune infiltrates identify hot tumors for immunotherapy in cutaneous melanoma.

Background: Immunotherapy with checkpoint inhibitors usually has a low response rate in some cutaneous melanoma (CM) cases due to its cold nature. Hence, identification of hot tumors is important to improve the immunotherapeutic efficacy and prognoses of CMs. Methods: Fatty acid (FA) metabolism-related genes were extracted from the Gene Set Enrichment Analysis and used in the non-negative matrix factorization (NMF), copy number variation frequency, tumor mutation burden (TMB), and immune-related analyses, such as immunophenoscore (IPS). We generate a risk model and a nomogram for predicting patient prognoses and predicted the potential drugs for therapies using the Connectivity Map. Moreover, the NMF and the risk model were validated in a cohort of cases in the GSE65904 and GSE54467. At last, immunohistochemistry (IHC) was used for further validation. Results: Based on the NMF of 11 FA metabolism-related DEGs, CM cases were stratified into two clusters. Cluster 2 cases had the characteristics of a hot tumor with higher immune infiltration levels, higher immune checkpoint (IC) molecules expression levels, higher TMB, and more sensitivity to immunotherapy and more potential immunotherapeutic drugs and were identified as hot tumors for immunotherapy. The risk model and nomogram displayed excellent predictor values. In addition, there were more small potential molecule drugs for therapies of CM patients, such as ambroxol. In immunohistochemistry (IHC), we could find that expression of PLA2G2D, ACOXL, and KMO was upregulated in CM tissues, while the expression of IL4I1, BBOX1, and CIDEA was reversed or not detected. Conclusion: The transcriptome profiles of FA metabolism-related genes were effective for distinguishing CM into hot-cold tumors. Our findings may be valuable for development of effective immunotherapy for CM patients and for proposing new therapy strategies.