Autocrine phosphatase PDP2 inhibits ferroptosis by dephosphorylating ACSL4 in the Luminal A Breast Cancer.

Phosphatases can dephosphorylate phosphorylated kinases, leading to their inactivation, and ferroptosis is a type of cell death. Therefore, our aim is to identify phosphatases associated with ferroptosis by analyzing the differentially expressed genes (DEGs) of the Luminal A Breast Cancer (LumABC) cohort from the Cancer Genome Atlas (TCGA). An analysis of 260 phosphatase genes from the GeneCard database revealed that out of the 28 DEGs with high expression, only the expression of pyruvate dehydrogenase phosphatase 2 (PDP2) had a significant correlation with patient survival. In addition, an analysis of DEGs using gene ontology, Kyoto Encyclopedia of Genes and Genomes and gene set enrichment analysis revealed a significant variation in the expression of ferroptosis-related genes. To further investigate this, we analyzed 34 ferroptosis-related genes from the TCGA-LumABC cohort. The expression of long-chain acyl-CoA synthetase 4 (ACSL4) was found to have the highest correlation with the expression of PDP2, and its expression was also inversely proportional to the survival rate of patients. Western blot experiments using the MCF-7 cell line showed that the phosphorylation level of ACSL4 was significantly lower in cells transfected with the HA-PDP2 plasmid, and ferroptosis was correspondingly reduced (p < 0.001), as indicated by data from flow cytometry detection of membrane-permeability cell death stained with 7-aminoactinomycin, lipid peroxidation, and Fe2+. Immunoprecipitation experiments further revealed that the phosphorylation level of ACSL4 was only significantly reduced in cells where PDP2 and ACSL4 co-precipitated. These findings suggest that PDP2 may act as a phosphatase to dephosphorylate and inhibit the activity of ACSL4, which had been phosphorylated and activated in LumABC cells. Further experiments are needed to confirm the molecular mechanism of PDP2 inhibiting ferroptosis.

Gankyrin inhibits ferroptosis through the p53/SLC7A11/GPX4 axis in triple-negative breast cancer cells.

Gankyrin is found in high levels in triple-negative breast cancer (TNBC) and has been established to form a complex with the E3 ubiquitin ligase MDM2 and p53, resulting in the degradation of p53 in hepatocarcinoma cells. Therefore, this study sought to determine whether gankyrin could inhibit ferroptosis through this mechanism in TNBC cells. The expression of gankyrin was investigated in relation to the prognosis of TNBC using bioinformatics. Co-immunoprecipitation and GST pull-down assays were then conducted to determine the presence of a gankyrin and MDM2 complex. RT-qPCR and immunoblotting were used to examine molecules related to ferroptosis, such as gankyrin, p53, MDM2, SLC7A11, and GPX4. Additionally, cell death was evaluated using flow cytometry detection of 7-AAD and a lactate dehydrogenase release assay, as well as lipid peroxide C11-BODIPY. Results showed that the expression of gankyrin is significantly higher in TNBC tissues and cell lines, and is associated with a poor prognosis for patients. Subsequent studies revealed that inhibiting gankyrin activity triggered ferroptosis in TNBC cells. Additionally, silencing gankyrin caused an increase in the expression of the p53 protein, without altering its mRNA expression. Co-immunoprecipitation and GST pull-down experiments indicated that gankyrin and MDM2 form a complex. In mouse embryonic fibroblasts lacking both MDM2 and p53, this gankyrin/MDM2 complex was observed to ubiquitinate p53, thus raising the expression of molecules inhibited by ferroptosis, such as SLC7A11 and GPX4. Furthermore, silencing gankyrin in TNBC cells disrupted the formation of the gankyrin/MDM2 complex, hindered the degradation of p53, increased SLC7A11 expression, impeded cysteine uptake, and decreased GPX4 production. Our findings suggest that TNBC cells are able to prevent cell ferroptosis through the gankyrin/p53/SLC7A11/GPX4 signaling pathway, indicating that gankyrin may be a useful biomarker for predicting TNBC prognosis or a potential therapeutic target.

TERT rs10069690 polymorphism and cancers risk: A meta-analysis.

BACKGROUND: Studies have identified that the telomerase reverse transcriptase (TERT) gene polymorphism rs10069690 (C>T) is associated with cancer risk, but the results remain inconclusive. METHODS: To provide a more precise estimation of the relationship, we performed a meta-analysis of 45 published studies including 329,035 cases and 730,940 controls. We conducted a search in PubMed, Google Scholar and Web of Science to select studies on the association between rs10069690 and cancer risk. Stratification by ethnicity, cancer type, cancers' classification, source of control, sample size, and genotype method was used to explore the source of heterogeneity. The pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were evaluated using random effects models. Sensitivity, publication bias, false-positive report probability (FPRP) and statistical power were also assessed. RESULTS: The result demonstrated that rs10069690 was significantly associated with an increased risk of cancer overall (OR = 1.09, 95% CI: 1.06-1.12, p < .001) under the allele model. Stratification analysis revealed an increased cancer risk in subgroups of breast cancer, ovarian cancer, lung cancer, thyroid cancer, and renal cell carcinoma (RCC). However, a significantly decreased association was observed in pancreatic cancer in the European population (OR = 0.93,95% CI: 0.87-0.99, p = .031). In the subgroup analysis based on cancer type, no significant association was found in prostate cancer, leukemia, colorectal cancer and glioma. CONCLUSIONS: This meta-analysis suggested that the TERT rs10069690 polymorphism may be a risk factor for cancer, especially breast cancer, ovarian cancer, lung cancer, thyroid cancer, and RCC. Further functional studies are warranted to reveal the role of the polymorphism in carcinogenesis.

Evaluation of GALNT16 polymorphisms to breast cancer risk in Chinese population.

BACKGROUND: Polypeptide N-acetylgalactosaminyltransferase 16 (GALNT16) is an N-acetylgalactosaminyltransferase gene that alters protein O-glycosylation, which plays a role in tumor development. This study aims to explore the association of eight GALNT16 polymorphisms with susceptibility to breast cancer (BC). METHODS: This case-control study included 563 BC patients and 552 age-matched healthy controls from the Chinese Han population. The genotypes of GALNT16 polymorphisms were detected using the Agena MassARRAY. The relationship between GALNT16 polymorphisms and BC risk was evaluated using a chi-squared test with an odds ratio (OR) and 95% confidence intervals (CI) under five genetic models. RESULTS: We observed that rs2105269 and rs72625676 were associated with higher BC risk in younger patients with age ≤51 (rs2105269, codominant: p = .006; recessive: p = .005 additive: p = .018; and allele: p = .012; rs72625676, codominant: p = .038; recessive: p = .037). For rs1275678 polymorphism, there was a significantly decreased risk of BC among elder patients (codominant: p = .017; dominant: p = .019; additive: p = .030; and allele: p = .029). Further analysis by clinical characteristics showed rs2105269 was associated with tumor size and lymph node metastasis. CONCLUSION: Our study suggests that GALNT16 polymorphisms are associated with BC susceptibility in Chinese population.

Analysis of MIR155HG variants and colorectal cancer susceptibility in Han Chinese population.

BACKGROUND: MIR155HG plays an important role in malignant tumors, but it is rarely reported in the occurrence and development of colorectal cancer (CRC). This study investigated the effects of MIR155HG polymorphisms on CRC susceptibility from the perspective of molecular genetics. METHODS: Eight SNPs in MIR155HG were selected and genotyped among 514 CRC cases and 510 healthy controls using the Agena MassARRAY platform. The associations between these SNPs and the CRC risk were evaluated under genetic models using conditional logistic regression analysis. The HaploReg v4.1 database was used for SNPs functional prediction. RESULTS: The allele "C" of rs12482371 (p = 0.047), allele "C" of rs1893650 (p = 0.025), and the allele "A" of rs928883 (p = 0.037) in MIR155HG were significantly associated with CRC risk. Genetic model analysis revealed that rs12482371 and rs1893650 increased CRC risk; whereas rs928883 was associated with reduced CRC risk. Stratification analysis showed that rs9383938 was a protective factor in CRC patients under 60 years old. Rs12482371 and rs1893650 were associated with the CRC risk in females. Rs11911469 and rs34904192 may affect the clinical stage and lymph node metastasis. Moreover, the haplotypes CTT and GTC of LD block rs4143370|rs77218221|rs12482371, and the haplotypes CATGA and CACGG of LD block rs77699734|rs11911469|rs1893650|rs34904192|rs928883 were significantly associated with CRC risk. CONCLUSION: This study revealed that MIR155HG SNPs were associated with CRC susceptibility and could be predictive biomarkers for CRC risk.

Expression of miR-103a-3p in breast cancer tissues and its suppression on glycolysis and proliferation of breast cancer cells via down-regulating PDK4 / 中国肿瘤生物治疗杂志

@#[Abstract] Objective： ： To explore miR-103a-3p expression in the tumor tissues and the serum of breast cancer patients, and its role and mechanism in breast cancer development. Methods: Pathologically confirmed 31 cases of tumor tissues and 21 cases of para-cancerous tissues resected at Department of Oncological Surgery of the Second Affiliated Hospital of Hainan Medical University (Haikou, China) from March 1, 2017 to August 31，2017 were collected for this study; in addition, serum samples from 38 breast cancer patients and 22 healthy subjects as well as the breast cancer cell lines MCF-7 and MDA-MB-231 were used in this study. pHBLV-U6-Luc-T2A-Puro and PLL3.7 lentivirus were applied to knock down miR-103a-3p and PDK4 in MCF-7 and MDA-MB-231 cells, respectively. qPCR and Western blotting were performed to examine the mRNA and protein expressions of miR-103a-3p and PDK4 in tissues and serums of breast cancer patients as well as the in cell lines, respectively; CCK-8 assay was applied to detect the proliferation of MCF-7 and MDAMB-231 cells; Olympus AU5400 was applied to detect the glucose consumption and lactate production in indicated cell line. Results： ： miR-103a-3p was significantly decreased in tumor tissues compared with the paracancerous tissues (P<0.01). miR-103a-3p knockdown activated the glucos consumption and lactate production (all P<0.01), increased the PKD4 expression (P<0.01) in MCF-7 and MDAMD-231 cells, and promoted the proliferation of MCF-7 and MDA-MB-231 cells (P<0.01). Furthermore, knockdown of PDK4 suppressed the glucose consumption, lactate production and proliferation in MCF-7 and MDA-MB-231 cells with miR-103a-3p silencing (all P<0.01). Conclusion： ：In the breast cancer, miR-103a-3p inhibited the proliferation of breast cancer cells through down-regulation of PDK4 and PDK4-mediated aerobic glycolysis.