Diagnosis accuracy of the miR-200 family tumor marker series in ovarian cancer: a systematic review and meta-analysis.

Background: To evaluate the diagnosis value of the microRNA-200 family in ovarian cancer patients. However, there is much controversy regarding the diagnosis of miR-200. Therefore, it is necessary to use meta method to further confirm the significance of diagnosis role of the miR-200 family tumor marker series in ovarian cancer. Methods: We performed a careful literature search of the PubMed, EMBASE, and Web of Science databases and search language is English for articles related to ovarian cancer diagnose and the miR-200 family. The retrieval period was from the date of establishment of the database until September 20, 2021. The search keywords included microR-200, microR-200a, microR-200b, microR-200c, ovarian cancer, ovarian carcinoma, ovarian tumor, and sensitivity (SEN), specificity (SPE), area under the curve (AUC) were then calculated to estimate the diagnostic accuracy of the miR-200 family, and meta-analysis was performed using Stata 15.0 software. Results: Five articles were included in the meta-analysis. The diagnostic value of miR-200a in epithelial ovarian cancer (EOC) was expressed as 0.76 (95% CI: 0.67-0.84) by SEN; the combined SPE was 0.71 (95% CI: 0.49-0.86); the pooled AUC was 0.79 (95% CI: 0.76-0.83). The diagnostic value of miR-200b in EOC was expressed by SEN of 0.84 (95% CI: 0.76-0.90) and SPE of 0.73 (95% CI: 0.48-0.88). Combined AUC was 0.86 (95% CI: 0.83-0.89). The diagnostic value of miR-200c in EOC was 0.90 (95% CI:0.69-0.97), and the SPE was 0.87 (95% CI: 0.37-0.99). Combined AUC was 0.94 (95% CI: 0.92-0.96). Discussion: The miR-200 family may be a marker for the diagnosis evaluation of ovarian cancer patients.

Co-exposure of serum calcium, selenium and vanadium is nonlinearly associated with increased risk of type 2 diabetes mellitus in a Chinese population.

BACKGROUND: Metals play an important role in type 2 diabetes mellitus (T2DM). This study aimed to explore the association of T2DM risk with single metal exposure and multi-metal co-exposure. METHODS: A case-control study with 223 T2DM patients and 302 controls was conducted. Serum concentrations of 19 metals were determined by inductively coupled plasma mass spectrometry (ICP-MS). Those metals with greater effects were screened out and co-exposure effects of metals were assessed by least absolute shrinkage and selection operator (LASSO) regression. RESULTS: Serum calcium (Ca), selenium (Se) and vanadium (V) were found with greater effects. Higher levels of Ca and Se were associated with increased T2DM risk (OR = 2.23, 95%CI: 1.38-3.62, Ptrend = 0.002; OR = 3.16, 95%CI: 1.82-5.50, Ptrend < 0.001), but higher V level was associated with decreased T2DM risk (OR = 0.58, 95%CI: 0.34-0.97, Ptrend < 0.001). Serum Ca and V concentrations were nonlinearly associated with T2DM risk (Poverall < 0.001, Pnonliearity < 0.001); however, Se concentration was linearly associated with T2DM risk (Poverall < 0.001, Pnonliearity = 0.389). High co-exposure score of serum Ca, Se and V was associated with increased T2DM risk (OR = 3.50, 95%CI: 2.08-5.89, Ptrend < 0.001) as a non-linear relationship (Poverall < 0.001, Pnonliearity = 0.003). CONCLUSIONS: This study suggest that higher levels of serum Ca and Se were associated with increased T2DM risk, but higher serum V level was associated with decreased T2DM risk. Moreover, co-exposure of serum Ca, Se and V was nonlinearly associated with T2DM risk, and high co-exposure score was positively associated with T2DM risk.

Association of UCP1 polymorphisms with type 2 diabetes mellitus and their interaction with physical activity and sedentary behavior.

BACKGROUND: Uncoupling protein 1 (UCP1) has been reported to be associated with type 2 diabetes mellitus (T2DM) in different populations, however, little is reported in Chinese population. The present study aimed to explore the association between some polymorphisms of UCP1 with T2DM and the interactions between UCP1 and physical activity/sedentary behavior (PA/SB) lifestyle in Chinese population. METHODS: Three polymorphisms (rs1472268, rs3811790 and rs3811791) were genotyped in 929 T2DM patients and 1044 nondiabetic controls. The data of PA and SB were acquired. Logistic regression and linear regression were conducted to assess the association of UCP1 and T2DM and related traits. RESULTS: The CC genotype of rs3811791 was significantly associated with an increased risk of T2DM [odds ratio (OR) = 1.42, P = 0.042] and a higher level of triglyceride (TG) (ß = 0.048, P = 0.034). This association still existed in the group of SB ≥ 3 h/d (OR = 1.66, P = 0.009) and the group of PA ≥ 150 min/week and SB ≥ 3 h/d (OR = 1.60, P = 0.034). In the group of PA < 150 min/week and SB < 3h/d, CC genotype was associated with a higher level of homeostatic model assessment of insulin resistance (HOMA-IR) index, and in the group of PA < 150 min/week and SB ≥ 3 h/d, CC genotype was associated with increased level of TG and decreased high-density lipoprotein cholesterol (HDL-C). CONCLUSION: This study suggests that rs3811791 of UCP1 may be associated with T2DM and TG. Moreover, we demonstrate that SB interacted with rs3811791 of UCP1 was associated with T2DM, and PA interacted with rs3811791 of UCP1 was associated with the level of HOMA-IR, HDL-C, and TG.

Exploring the mechanism of clear cell renal cell carcinoma metastasis and key genes based on multi-tool joint analysis.

Clear cell renal cell carcinoma (ccRCC) is a highly invasive urological malignant tumor that results in shorter patient survival. At present, the mechanism of ccRCC metastasis is not clear. We explored the possible mechanisms of ccRCC metastasis by analyzing the transcriptome of ccRCC patients from the Cancer Genome Atlas (TCGA) database. Comparing the differences in transcriptome in patients with and without metastasis, we found 323 differential genes (|log2FoldChange| > 1 and P < 0.001). KEGG and GO enrichment analyses of differentially expressed genes (DEGs) suggest that the transfer mechanism of ccRCC may be related to complement and coagulation cascades and cholesterol metabolism. To explore the key genes affecting tumor metastasis, we analyzed the association of these genes with patient survival time and found that 16 genes were significantly associated (P < 0.05). We compared the differences in expression of these 16 genes between ccRCC patients and the normal population, and the results showed that TF and B4GALNT1 were overexpressed in patients. Co-expression gene analysis indicated that TF may participate in the metastasis of cancer through the complement system and mucopolysaccharide biosynthesis. B4GALNT1 may affect metastasis through focal adhesion, calcium signaling pathways, and Hippo signaling pathways. Our studies suggest that the complement system and the coagulation cascade, cholesterol metabolism, calcium pathway and iron transport may be associated in the mechanism of metastasis. TF and B4GALNT1 may be the key genes for metastasis, and they may be potential diagnostic markers and therapeutic targets for ccRCC.

Association of APOB and LIPC polymorphisms with type 2 diabetes in Chinese Han population.

BACKGROUND: Apolipoprotein B (APOB), and hepatic lipase (LIPC) genes have been shown to play a key role in lipid metabolism in type 2 diabetes (T2D). This study aimed to investigate the association of the three polymorphisms (rs679899 in APOB and rs6078 and rs6083 in LIPC) with T2D and related clinical quantitative traits. METHODS: We conducted a case-control study in Chinese Han population, with a total of 929 T2D patients and 1044 healthy subjects in Chinese Han population. Polymorphisms were genotyped by MassARRAY Genotyping System. RESULTS: The risk allele G of the polymorphism rs679899 was related to T2D (odds ratio (OR): 1.207, 95% confidence interval (CL): 1.006-1.448, P = 0.043) and the polymorphism rs679899 was associated with glutamyl transpeptidase (GGT) levels (P = 0.001). We also showed that the polymorphism rs6083 was associated with cholesterol (CHOL) levels (P = 0.012), triglyceride (TG) levels (P = 0.040), and low-density lipoprotein cholesterol (LDL) levels (P = 0.033). No significant difference in genotypic frequencies of rs6078 and rs6083 was observed between T2D patients and controls. CONCLUSION: This study suggests that the APOB polymorphism rs679899 is associated with type 2 diabetes and GGT levels, while the LIPC polymorphism rs6083 may influence CHOL, TG, and LDL levels in Chinese Han population.

Association of SERPINE1 rs6092 with type 2 diabetes and related metabolic traits in a Chinese population.

BACKGROUND: Plasminogen activator inhibitor-1 (PAI-I), encoded by SERPINE1 gene, is a member of the serine protease inhibitor superfamily, and polymorphisms in SERPINE1 have been reported to be associated with type 2 diabetes (T2D). This study investigated whether the polymorphism in PAI-I contribute to the risk for T2D. METHODS: A 1:1 case-control study was conducted to investigate the association of rs6092 in SERPINE1 with T2D and diabetes-related metabolic traits, including body mass index, waist circumference (WC), triglyceride (TG), total cholesterol (TC), high density lipoprotein cholesterol, low density lipoprotein cholesterol, fasting plasma glucose and glycosylated hemoglobin (HbA1c) in a Chinese population, with a total of 1572 subjects (786 T2D patients and 786 healthy controls). The polymorphism was genotyped based on MassARRAY genotyping system. RESULTS: The AA genotype and A allele of rs6092 exerted a protective effect on T2D risk (odds ratio (OR) = 0.431 and 0.630, respectively). In a recessive model, we also observed the protective association of rs6092 with T2D (OR = 0.195). The above associations were only observed in men. In female patients, there was a significant difference in HbA1c level between the AA homozygotes and GG homozygotes, as well as between the AA homozygotes and combined GG and GA genotypes. In male patients, the WC level in the subjects carrying AA genotype was lower than those in the subjects with GG genotype (P = 0.000), and the association was also significant in a recessive model (P = 0.000). Additionally, there was a significant difference in TG level between the AA homozygotes and GG homozygotes (P = 0.017), as well as the AA homozygotes and combined GG and GA genotypes (P = 0.032). CONCLUSIONS: Our study suggests that the A allele and AA genotype of rs6092 may protect against T2D, and have a protective effect on WC, but a negative effect on TG in men, while may contribute to a lower HbA1c level in women.