A Pan-Cancer Bioinformatic Analysis of RAD51 Regarding the Values for Diagnosis, Prognosis, and Therapeutic Prediction.

Background: RAD51, a critical protein for DNA repairment, has been found to associate with multiple cancer types, but, so far, a systematic pan-cancer analysis of RAD51 has not been done yet. Methods: Data were obtained from multiple open databases and genetic alteration, gene expression, survival association, functional enrichment, stemness, mutation association, immunity association, and drug therapy association of RAD51were analyzed. A prognostic model of RAD51 for overall glioma was constructed as an example application of RAD51 as a biomarker. Results: RAD51 was overexpressed in 28 types of cancers and was associated with worse overall survival in 11 cancer types. RAD51 correlated genes were enriched in cell cycle terms. RAD51 was associated with cancer stemness, tumor mutational burden, and multiple immunomodulators in different cancer types. RAD51 expression was different across immune subtypes in 11 cancer types. RAD51 was closely associated with cancer immune microenvironments in some cancer types. Proliferating T cells was the cell type that expressed highest RAD51 across most of the cancer samples analyzed. RAD51 expression had an AUC of over 0.5 in 12 of the 23 ICB subcohorts. The Tumor Immune Dysfunction and Exclusion of 9 cancer types were different between RAD51 high and low groups. RAD51 expression showed negative correlations with the sensitivity of most drugs. A prognostic nomogram was constructed with a high confidence. Conclusion: RAD51 is a clinical valuable biomarker for multiple cancer types, regarding its potential power for diagnosis, prognosis, and therapeutic prediction.

A comprehensive bioinformatic analysis of cyclin-dependent kinase 2 (CDK2) in glioma.

BACKGROUND: Glioma is one of the most prevalent malignant brain tumors and its incidence is rising continuously in recent years. Studies suggested that the regulatory mechanism of CDK2 in glioma might different from most of the other cancer types METHODS: Data were accessed from TCGA, GTEx, CGGA, CancerSEA, and TISCH. The expressions of CDK2 in tumors, normal tissues, and different groups of gliomas were compared. The association between CDK2 and the overall survival of glioma patients was analyzed and validated, and a prognostic model was constructed. CDK2-associated genes were enriched in the GO and the KEGG pathways. The association of CDK2 and tumor immunity and functions were analyzed. The subtypes of glioma cells expressing CDK2 were identified. RESULTS: CDK2 was overexpressed in glioma compared to normal brain tissues. CDK2 was overexpressed in higher grade glioma compared to lower grade glioma. CDK2 expression was higher in groups related to poor prognostic factors in low-grade glioma but had no difference in high-grade glioma. CDK2 was associated with worse overall survival in overall glioma and within low-grade glioma. A survival prediction nomogram was constructed. The enrichment study revealed that the low expression of CDK2 was associated with genes regulating normal brain functions while the high expression of CDK2 was associated with genes regulating immune cells and cancer. CDK2 was negatively correlated with B cells, T cells CD4+, and T cells CD8+. CDK2 was positively correlated with endothelial cells, macrophage, and NK cells. CDK2 high group had higher expression of the immune checkpoint genes, and the calculation suggested that patients with a lower CDK2 expression were much more likely to respond to immunotherapy. CONCLUSION: CDK2 was a potential diagnostic and prognostic biomarker and novel tumor immune environment sign for glioma patients.

TSHR rs2288496 associated with thyroid hormone and predict the occurrence of lymph node metastasis of papillary thyroid cancer.

This study aimed to evaluate the association of potential functional tagging single nucleotide polymorphisms (tagSNPs) in BRAF and TSHR with papillary thyroid cancer (PTC). Two tagSNPs (rs6464149 and rs7810757) in BRAF and six tagSNPs (rs17630128, rs2075179, rs7144481, rs2371462, rs2268477, and rs2288496) in TSHR were genotyped in 300 cases of PTC and 252 healthy controls. There was no difference in the genotype frequencies of BRAF and TSHR between PTC patients and control subjects, suggesting no contribution of BRAF or TSHR polymorphisms to the susceptibility to PTC. We observed that a tagSNP located in the 3' untranslated region of TSHR, rs2288496, could affect the incidence of lymph node metastasis (LNM). The variant TC and TC + CC genotypes conferred an increased risk of LNM (for TC vs. TT: odds ratio (OR) = 2.01, 95% confidence interval (CI): 1.07-3.77; P= 0.030; for TC + CC vs. TT: OR = 1.87, 95% CI: 1.04-3.39, P= 0.038). Moreover, subjects carrying variant genotypes had higher TSH levels and lower thyroxine (T4) and Anti-TG levels compared with those in subjects carrying common genotypes. Our findings showed that PTC patients carrying the TSHR rs2288496 TC and CC variants were associated with higher TSH level and lower T4 and Anti-TG levels and were prone to developing LNM. To confirm these results, additional studies and functional experiments, especially in other ethnic populations, are needed.

Association of SCN10A single nucleotide polymorphism rs12632942 and oxaliplatin-induced peripheral neuropathy in colorectal cancer patients receiving chemotherapy / 中国肿瘤生物治疗杂志

@# Objective: To explore the association between single nucleotide polymorphism rs12632942 in SCN10A exon and oxaliplatin-induced peripheral neuropathy (OXLIPN) in colorectal cancer (CRC) patients receiving chemotherapy. Methods:Atotal of 319 cases of blood samples from CRC patients receiving chemotherapy regimen with Oxaliplatin (OXL) were collected from the Second Affiliated Hospital of Guangzhou Medical University, the Second Affiliated Hospital of Nanchang University, and Guangzhou Baiyun District Hospital of Chinese Medicine during January 2011 and June 2013. DNAwas routinely extracted, and PCR amplification was performed to analyze the genotype of rs12632942; and OXLIPN of patients was also evaluated. The association between rs12632942 genotype and OXLIPN was analyzed by χ2 test and multivariate logistic regression model. Results: The genotypes of rs12632942 of 319 CRC patients:AAof 134 cases,AG of 156 cases and GG of 29 cases; and the genotype distribution of rs12632942 was in accordance with Hardy-Weinberg equiliberum (P>0.05). χ2 test showed that rs12632942AG+GG genotype was associated with Ⅱ-Ⅳ degree OXLIPN (P<0.01). Multivariate logistic regression model showed that rs12632942 AG + GG genotype was an independent risk factor for Ⅱ-Ⅳ degree OXLIPN（OR=2.044； 95%CI=1.231-3.392; P<0.01） . Conclusion: Colorectal cancer patients with SCN10A exon polymorphism rs12632942AG + GG genotype were susceptible to Ⅱ-Ⅳ degree OXLIPN.

Intervention Effects of Atorvastatin Combined with Panax notoginseng Saponins on Rats with Atherosclerosis Complicated with Hepatic Injury.

BACKGROUND: Statins cannot be used for some active liver diseases, which limits its application to some extent. The combined use of statins with other drugs may be one of the ways to solve this dilemma. OBJECTIVE: This research aims to evaluate the effects of atorvastatin combined with Panax notoginseng saponins (PNS) on rats with atherosclerosis (AS) complicated with hepatic injury. MATERIALS AND METHODS: Seventy-two male Wistar rats were randomly categorized into control group (without any intervention, Group A) and AS model groups, which were divided into hepatic injury (Groups B-E) and nonhepatic injury (Groups F-I) groups. Hepatic and nonhepatic injury groups were intragastrically treated with 5.5 mg/kg·d atorvastatin (Group B, F), 200 mg/kg·d PNS (Group C, G), 5.5 mg/kg·d atorvastatin + 200 mg/kg·d PNS (Group D, H), and normal saline (Group E, I). After 8 weeks, total cholesterol (TC), triglyceride (TG), high density lipoprotein-cholesterol, low density lipoprotein-cholesterol (LDL-C), and serum calcium were analyzed to evaluate the hypolipidemic effect. Serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase, total bilirubin, and r-glutamyltransferase levels were measured to assess liver function. The thoracic aortas were used for hematoxylin-eosin staining. RESULTS: In both hepatic injury and nonhepatic injury groups, TC, TG and LDL-C levels significantly decreased in Groups B, D, F, and H. ALT and AST levels significantly increased in Group B, but significantly decreased in Groups C and D. The aortic intima thickness was significantly lower in Groups B, D, F, and H than that in the normal saline group. CONCLUSION: The combination of atorvastatin and PNS treatment showed a significant hypolipidemic effect and hepatic enzyme stability function. SUMMARY: The single use of Panax notoginseng saponins (PNS) in the rat model for atherosclerosis significantly reduced Ca2+ content in serum, whereas the effect of lowing total cholesterol (TC), triglyceride (TG), and low density lipoprotein-cholesterol (LDL-C) is not apparent, especially as compared with atorvastatin treatmentPNS combined with atorvastatin treatment of the rat model for atherosclerosis displayed a noticeable, synergistic effect that allowed for better reduction of TC, TG, LDL-C and Ca2+ in the serum than that with the single use of PNS or atorvastatinIn the rat liver injury combined with atherosclerosis model, the single use of PNS significantly improved liver function, whereas atorvastatin alone only aggravated liver injury in the rat model. The effect of PNS combined with atorvastatin on liver function was significantly better than that of atorvastatin aloneThe combined use of PNS and atorvastatin showed good stability of liver function on the liver injury combined with atherosclerosis model. Abbreviations used: PNS: Panax notoginseng saponins; AS: Atherosclerosis; TC: Total cholesterol; TG: Triglyceride; HDL-C: High density lipoprotein-cholesterol; LDL-C: Low density lipoprotein-cholesterol; ALT: Alanine aminotransferase; AST: Aspartate aminotransferase; ALP: Alkaline phosphatase; T-BIL: Total bilirubin; r-GT: R-glutamyltransferase; HE: Hematoxylin-eosin.