BRMS1L confers anticancer activity in non-small cell lung cancer by transcriptionally inducing a redox imbalance in the GPX2-ROS pathway.

Low expression levels of breast cancer metastasis suppressor 1 like (BRMS1L) have been associated with the growth of cancer cells. However, the mechanisms underlying the role of BRMS1L as an antitumour transcription factor in the progression of NSCLC have not been explored. Herein, we reveal that BRMS1L plays a key role as a tumour suppressor in inhibiting NSCLC proliferation and metastasis. Mechanistically, BRMS1L overexpression results in the downregulation of glutathione peroxidase 2 (GPX2) expression and consequently causes abnormal glutathione metabolism and increased levels of reactive oxygen species (ROS) in cells, inducing oxidative stress injury and apoptosis. Furthermore, overexpression of GPX2 enhances the growth advantage and oxidative stress repair conferred by knockdown of BRMS1L. Importantly, we show that low expression of BRMS1L in NSCLC cells causes relatively high levels of antioxidant accumulation to maintain cell redox balance and renders cancer cells more sensitive to treatment with piperlongumine as an ROS inducer both in vitro and in vivo. These findings offer new insights into the role of BRMS1L as a transcriptional repressor in NSCLC and suggest that the BRMS1L expression level may be a potential biomarker for predicting the therapeutic response to small molecule ROS inducers, providing new ideas for targeted therapy.

A sialyltransferases-related gene signature serves as a potential predictor of prognosis and therapeutic response for bladder cancer.

BACKGROUND: Aberrant glycosylation, catalyzed by the specific glycosyltransferase, is one of the dominant features of cancers. Among the glycosyltransferase subfamilies, sialyltransferases (SiaTs) are an essential part which has close linkages with tumor-associated events, such as tumor growth, metastasis and angiogenesis. Considering the relationship between SiaTs and cancer, the current study attempted to establish an effective prognostic model with SiaTs-related genes (SRGs) to predict patients' outcome and therapeutic responsiveness of bladder cancer. METHODS: RNA-seq data, clinical information and genomic mutation data were downloaded (TCGA-BLCA and GSE13507 datasets). The comprehensive landscape of the 20 SiaTs was analyzed, and the differentially expressed SiaTs-related genes were screened with "DESeq2" R package. ConsensusClusterPlus was applied for clustering, following with survival analysis with Kaplan-Meier curve. The overall survival related SRGs were determined with univariate Cox proportional hazards regression analysis, and the least absolute shrinkage and selection operator (LASSO) regression analysis was performed to generate a SRGs-related prognostic model. The predictive value was estimated with Kaplan-Meier plot and the receiver operating characteristic (ROC) curve, which was further validated with the constructed nomogram and decision curve. RESULTS: In bladder cancer tissues, 17 out of the 20 SiaTs were differentially expressed with CNV changes and somatic mutations. Two SiaTs_Clusters were determined based on the expression of the 20 SiaTs, and two gene_Clusters were identified based on the expression of differentially expressed genes between SiaTs_Clusters. The SRGs-related prognostic model was generated with 7 key genes (CD109, TEAD4, FN1, TM4SF1, CDCA7L, ATOH8 and GZMA), and the accuracy for outcome prediction was validated with ROC curve and a constructed nomogram. The SRGs-related prognostic signature could separate patients into high- and low-risk group, where the high-risk group showed poorer outcome, more abundant immune infiltration, and higher expression of immune checkpoint genes. In addition, the risk score derived from the SRGs-related prognostic model could be utilized as a predictor to evaluate the responsiveness of patients to the medical therapies. CONCLUSIONS: The SRGs-related prognostic signature could potentially aid in the prediction of the survival outcome and therapy response for patients with bladder cancer, contributing to the development of personalized treatment and appropriate medical decisions.

Association of amino acids related to urea cycle with risk of diabetic nephropathy in two independent cross-sectional studies of Chinese adults.

Objective: To investigate the association between amino acids related to the urea cycle and diabetic nephropathy (DN) in two independent cross-sectional studies. Methods: We obtained the medical records of 145 individuals with DN and 596 individuals without DN who attended an annual health examination at Liaoning Medical University First Affiliated Hospital (LMUFAH), China, from May 2015 to August 2016. From April 2018 to April 2019, we collected medical records of another 741 individuals: 338 individuals with DN and 403 individuals without DN from the Second Affiliated Hospital of Dalian Medical University (DALIAN), China. Binary logistic regression was used to obtain the odds ratio (OR) and 95% confidence interval (CI). Results: In two independent cross-sectional studies, we observed that citrulline was consistently associated with DN risk [OR (95% CI) of per standard deviation (SD) increase for citrulline in the LMUFAH population: 1.200 (1.006, 1.432); OR (95% CI) of per SD increase for citrulline in the DALIAN population: 1.189 (1.012, 1.396); pooled effect size for citrulline: 1.194 (1.060, 1.345)]. However, ornithine, arginine, and the ratio of arginine to ornithine were consistently unrelated to DN risk, and the ratios of other amino acids in the urea cycle were inconsistently associated with DN risk. Conclusions: Citrulline was consistently associated with DN risk in two independent cross-sectional studies in Chinese adults.

Novel serum peptide model revealed by MALDI-TOF-MS and its diagnostic value in early bladder cancer.

BACKGROUND: Bladder cancer is the ninth most common cancer worldwide and has high morbidity and mortality. We aimed to search for potential serum peptide biomarkers and establish a diagnostic model for early bladder cancer. METHODS: A total of 67 bladder cancer patients and 64 healthy volunteers were randomly divided into a training set and testing set 1. There were 30 hematuria patients used as testing set 2. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry based on weak cation exchange magnetic beads was used to obtain and analyze the serum peptide profiles between bladder cancer patients and healthy volunteers in the training set. Serum peptide diagnostic model through a k-nearest neighbor algorithm, was established and validated, and significantly differentially expressed protein biomarkers were ultimately identified. RESULTS: We constructed a diagnostic model containing five peptides (m/z 1954.9, m/z 2081.0, m/z 3938.3, m/z 3946.5, and m/z 4268.8). In the training set, the area under the curve (AUC) value of the five-peptide model was 0.923, and the sensitivity and specificity was 93.75% and 96.77%, respectively. In testing set 1, the sensitivity and specificity was 91.43% and 90.91%, respectively, and the specificity of testing set 2 was 73.33%. For early-stage bladder cancer, the sensitivity and specificity was 92.31% and 93.75%, respectively; the sensitivity of early low-grade bladder cancer was 90.00%; and the AUC value was 0.944. CONCLUSION: The five-peptide diagnostic model established in this study had high sensitivity and specificity, especially in the diagnosis of early bladder cancer, and could differentiate between healthy volunteers and hematuria patients.

Trametinib potentiates TRAIL-induced apoptosis via FBW7-dependent Mcl-1 degradation in colorectal cancer cells.

Trametinib is a MEK1/2 inhibitor and exerts anticancer activity against a variety of cancers. However, the effect of Trametinib on colorectal cancer (CRC) is not well understood. In the current study, our results demonstrate the ability of sub-toxic doses of Trametinib to enhance TRAIL-mediated apoptosis in CRC cells. Our findings also indicate that Trametinib and TRAIL activate caspase-dependent apoptosis in CRC cells. Moreover, Mcl-1 overexpression can reduce apoptosis in CRC cells treated with Trametinib with or without TRAIL. We further demonstrate that Trametinib degrades Mcl-1 through the proteasome pathway. In addition, GSK-3ß phosphorylates Mcl-1 at S159 and promotes Mcl-1 degradation. The E3 ligase FBW7, known to polyubiquitinate Mcl-1, is involved in Trametinib-induced Mcl-1 degradation. Taken together, these results provide the first evidence that Trametinib enhances TRAIL-mediated apoptosis through FBW7-dependent Mcl-1 ubiquitination and degradation.

GPX2 suppression of H2O2 stress regulates cervical cancer metastasis and apoptosis via activation of the ß-catenin-WNT pathway.

BACKGROUND: Increasing evidence suggests that glutathione peroxidase 2 (GPX2) plays important roles in the tumorigenesis and progression of various human cancers, such as colorectal carcinomas and lung adenocarcinomas. However, the role of GPX2 in cervical cancer is unclear. In this study, we identified the role of GPX2 in cervical cancer tissues and cell lines. MATERIALS AND METHODS: The basal mRNA and protein expression of GPX2 in cervical cancer cells and a series of key molecules in the epithelial to mesenchymal transition (EMT) and WNT/ß-catenin pathways were examined via real time fluorescence quantitative PCR (qRT-PCR) and Western blot assays. The biological phenotype of the cervical cancer cell lines was detected by the cloning formation and transwell assays, and intracellular reactive oxygen species (ROS) levels were detected by flow cytometry. Finally, the GPX2 expression level in 100 clinical cervical tissues was examined by immunohistochemistry. RESULTS: We found that GPX2 was highly expressed in cervical cancer tissues compared to normal individuals and promoted the proliferation and metastasis of cervical cancer cells, and this promotion correlated with the activation of EMT and WNT/ß-catenin signaling in vitro. GPX2 was determined to reduce apoptotic damage by reducing hydroperoxides. According to the characteristics and verification of GPX2, this series of phenotypes is clearly related to oxidative stress in cells. Furthermore, we verified that GPX2 was highly expressed in cervical cancer tissues and promoted the metastasis of cervical cancer. CONCLUSION: In summary, we found that GPX2 was highly expressed in cervical cancer cells and promoted the proliferation and metastasis of cervical cancer by affecting oxidative stress. Our study provides a new target for the clinical treatment of cervical cancer.

PI3K p110α inhibition sensitizes cervical cancer cells with aberrant PI3K signaling activation to PARP inhibitor BMN673.

Poly(ADP­ribose) polymerase (PARP) inhibitors have little effect on homologous recombination repair (HRR)­proficient tumor types, such as cervical cancer. In addition to catalytic activity, the PARP inhibitor, BMN673, traps PARP1 on damaged DNA and induces cytotoxic effects. The aim of the present study was to evaluate the therapeutic effect of PI3K inhibitors and BMN673 on cervical cancer cells. The Chou­Talalay method was used to assess the synergistic effect of drug combinations on cervical cancer cells. The effect of PI3K inhibitors and BMN673 on cell growth and survival were also assessed via a Cell Counting Kit­8 assay and three­dimensional sphere culture. Cell migration and invasion were assessed via Transwell migration and Matrigel invasion assays, respectively. In addition, DNA damage and HRR competency were assessed via immunofluorescent staining analysis of γH2AX and RAD51 foci, and tail moment in a comet assay. PARP1 binding in chromatin was assessed via a cellular trapping assay. Ex vivo cultured sections of patient­derived cervical tumors were subjected to drug exposure followed by histological and immunohistochemical analyses. The results revealed that the PI3K p110α inhibitor BYL719 and the PARP inhibitor BMN673 synergized to inhibit cervical cancer cell proliferation, migration and invasion in vitro and ex vivo. However, the pan­PI3K inhibitor BKM120 did not produce the aforementioned effects. Additionally, cervical cancer cells exhibiting aberrant PI3K activation were more responsive to the combined inhibition of PI3K p110α and PARP. Mechanistically, BYL719 co­operated with BMN673 to increase PARP1 trapping on chromatin, induce severe DNA damage and exert cytotoxic effects. The combined use of BMN673 and BYL719 may serve as a promising therapeutic strategy for patients with cervical cancer exhibiting aberrant PI3K activation.

BRMS1L suppresses ovarian cancer metastasis via inhibition of the ß-catenin-wnt pathway.

A low level of breast cancer metastasis suppressor 1-like (BRMS1L) has been implicated in tumour metastasis involving breast cancer and other cancers. It remains unclear whether BRMS1L is involved in epithelial ovarian cancer (EOC) metastasis and what the molecular mechanism of BRMS1L is in suppressing EOC metastasis. In this study, we examined the mRNA expression and protein level of BRMS1L by screening EOC patients. Our results show that BRMS1L expression is downregulated in EOC patients compared to that in normal people and negatively correlated to pathological stages of EOC. We further explored examining epithelial to mesenchymal transition (EMT) as the molecular mechanism of BRMS1L in cancer cell metastasis. The overexpression of BRMS1L inhibits EOC cell migration and invasion, and this inhibition is correlated to the inactivation of EMT and Wnt/ß-catenin signalling in vitro. Knockdown of BRMS1L by shRNA promotes EOC metastasis, enhances EMT process and activates Wnt/ß-catenin signalling. These results suggest that BRMS1L plays a critical role in the suppression of ovarian cancer metastasis, and BRMS1L can be considered as a prognostic biomarker and potential therapeutic target for EOC patients.