Quantitative proteomics reveals that long non-coding RNA MALAT1 interacts with DBC1 to regulate p53 acetylation.

Metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) is a broadly expressed lncRNA involved in many aspects of cellular processes. To further delineate the underlying molecular mechanism, we employed a high-throughput strategy to characterize the interacting proteins of MALAT1 by combining RNA pull-down, quantitative proteomics, bioinformatics, and experimental validation. Our approach identified 127 potential MALAT1-interacting proteins and established a highly connected MALAT1 interactome network consisting of 788 connections. Gene ontology annotation and network analysis showed that MALAT1 was highly involved in five biological processes: RNA processing; gene transcription; ribosomal proteins; protein degradation; and metabolism regulation. The interaction between MALAT1 and depleted in breast cancer 1 (DBC1) was validated using RNA pull-down and RNA immunoprecipitation. Further mechanistic studies reveal that MALAT1 binding competes with the interaction between sirtuin1 (SIRT1) and DBC1, which then releases SIRT1 and enhances its deacetylation activity. Consequently, the deacetylation of p53 reduces the transcription of a spectrum of its downstream target genes, promotes cell proliferation and inhibits cell apoptosis. Our results uncover a novel mechanism by which MALAT1 regulates the activity of p53 through the lncRNA-protein interaction.

Long non-coding RNAs involved in gynecological cancer.

Long non-coding RNAs (lncRNAs) are defined as transcripts longer than 200 nucleotides with little or no protein-coding capacity. Previously, they were considered transcription byproducts without biological functions. Further studies have shown that lncRNAs are involved in multiple biological and pathological processes, including regulation of epigenetic, transcriptional, and posttranscriptional events. Long non-coding RNA expression patterns in various malignant tumors differ from those of benign tumors and normal tissue, and such alterations may promote or suppress tumorigenesis and cancer progression. The expression profiles of lncRNAs are abnormal in gynecological cancers, such as ovarian cancer, cervical cancer, and endometrial cancer, suggesting an important role for lncRNAs in tumorigenesis/progression of these cancers. Here, we summarized the research progress on identifying the biological functions of lncRNAs in tumorigenesis, progression, and metastasis in gynecological cancers. We provide references for exploring the clinical applications of lncRNAs as early diagnostic biomarkers or ideal therapeutic targets in gynecological cancers.

Safety assessment of clomiphene: a real-world pharmacovigilance analysis from the Food and Drug Administration adverse event reporting system.

BACKGROUND: Clomiphene is widely used for the treatment of anovulatory infertility, yet there remain many unrecognized adverse events (AEs). The objective of this study is to provide a comprehensive overview of the safety profile of clomiphene. METHODS: The data were derived from the first quarter of 2004 to the third quarter of 2023 from the Food and Drug Administration Adverse Event Reporting System (FAERS) database. The detection of new AE signals involved the use of four algorithms: reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and empirical Bayesian geometric mean (EBGM). RESULTS: A total of 16,677,289 AE reports were acquired from the FAERS database, and there were 2,620 AEs specifically reported in 720 patients following clomiphene use. The AEs encompassed 102 preferred terms (PTs) across 24 system organ classes (SOCs). Some new AEs were identified, including conjoined twins (0.5%), Potter's syndrome (0.3%), genitalia external ambiguous (0.3%), esophageal atresia (0.6%), and anal atresia (0.3%). CONCLUSIONS: Although the majority of AEs aligned with the drug instruction, some new AE signals such as conjoined twins and genitalia external ambiguous were not captured. Well-designed studies are required to demonstrate the safety of clomiphene.

Perioperative remedial antiviral therapy in hepatitis B virus-related hepatocellular carcinoma resection: How to achieve a better outcome.

BACKGROUND: Although the benefits of antiviral therapy for hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) have been proven, researchers have not confirmed the differences in patient outcomes between patients who received preoperative antiviral therapy for a period of time (at least 24 wk) and patients who received remedial antiviral therapy just before radical resection for HBV-related HCC. AIM: To investigate the efficacy of perioperative remedial antiviral therapy in patients with HBV-related HCC. METHODS: A retrospective study of patients who underwent radical resection for HBV-related HCC at the First Affiliated Hospital of Xi'an Jiaotong University from January 2016 to June 2019 was conducted. Considering the history of antiviral therapy, patients were assigned to remedial antiviral therapy and preoperative antiviral therapy groups. RESULTS: Kaplan-Meier analysis revealed significant differences in overall survival (P < 0.0001) and disease-free survival (P = 0.035) between the two groups. Multivariate analysis demonstrated that a history of preoperative antiviral treatment was independently related to improved survival (hazard ratio = 0.27; 95% confidence interval: 0.08-0.88; P = 0.030). CONCLUSION: In patients with HBV-related HCC, it is ideal to receive preoperative long-term antiviral therapy, which helps patients tolerate more extensive hepatectomy; however, remedial antiviral therapy, which reduces preoperative HBV-DNA levels to less than 4 Log10 copies DNA/mL, can also result in improved outcomes.

The combined signatures of G protein-coupled receptor family and immune landscape provide a prognostic and therapeutic biomarker in endometrial carcinoma.

G protein-coupled receptors (GPRs) are one of the largest surface receptor superfamilies, and many of them play essential roles in biological processes, including immune responses. In this study, we aim to construct a GPR- and tumor immune environment (TME-i)-associated risk signature to predict the prognosis of patients with endometrial carcinoma (EC). The GPR score was generated by applying univariate Cox regression and the Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression in succession. This involved identifying the differentially expressed genes (DEGs) in the Cancer Genome Atlas-Uterine Corpus Endometrioid Carcinoma (TCGA-UCEC) cohort. Simultaneously, the CIBERSORT algorithm was applied to identify the protective immune cells for TME score construction. Subsequently, we combined the GPR and TME scores to establish a GPR-TME classifier for conducting clinical prognosis assessments. Various functional annotation algorithms were used to conduct biological process analysis distinguished by GPR-TME subgroups. Furthermore, weighted correlation network analysis (WGCNA) was applied to depict the tumor somatic mutations landscapes. Finally, we compared the immune-related molecules between GPR-TME subgroups and resorted to the Tumor Immune Dysfunction and Exclusion (TIDE) for immunotherapy response prediction. The mRNA and protein expression of GPR-related gene P2RY14 were, respectively, validated by RT-PCR in clinical samples and HPA database. To conclude, our GPR-TME classifier may aid in predicting the EC patients' prognosis and immunotherapy responses.

A novel defined risk signature of endoplasmic reticulum stress-related genes for predicting the prognosis and immune infiltration status of ovarian cancer.

Endoplasmic reticulum (ER) stress, as an emerging hallmark feature of cancer, has a considerable impact on cell proliferation, metastasis, invasion, and chemotherapy resistance. Ovarian cancer (OvCa) is one of the leading causes of cancer-related mortality across the world due to the late stage of disease at diagnosis. Studies have explored the influence of ER stress on OvCa in recent years, while the predictive role of ER stress-related genes in OvCa prognosis remains unexplored. Here, we enrolled 552 cases of ER stress-related genes involved in OvCa from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) cohorts for the screening of prognosis-related genes. The least absolute shrinkage and selection operator (LASSO) regression was applied to establish an ER stress-related risk signature based on the TCGA cohort. A seven-gene signature revealed a favorable predictive efficacy for the TCGA, International Cancer Genome Consortium (ICGC), and another GEO cohort (P<0.001, P<0.001, and P=0.04, respectively). Moreover, functional annotation indicated that this signature was enriched in cellular response and senescence, cytokines interaction, as well as multiple immune-associated terms. The immune infiltration profiles further delineated an immunologic unresponsive status in the high-risk group. In conclusion, ER stress-related genes are vital factors predicting the prognosis of OvCa, and possess great application potential in the clinic.

MiR-125b-5p Targets MTFP1 to Inhibit Cell Proliferation, Migration, and Invasion and Facilitate Cell Apoptosis in Endometrial Carcinoma.

MicroRNAs (miRNAs) are recognized as latent diagnostic, prognostic, and therapeutic biomarkers for endometrial carcinoma (EC). We attempted to discuss function and mechanism of miR-125b-5p in EC cell progression. This study manifested a decreased miR-125b-5p level and an increased mitochondrial fission process 1 (MTFP1) level in EC, and there was an inverse correlation between them. Moreover, in vitro assays were performed. The results denoted that miR-125b-5p could target a putative binding site on MTFP1 3'UTR to reduce MTFP1 expression, thereby repressing cell malignant behaviors. Besides, the promoting impact of MTFP1 overexpression on malignant phenotypes of EC cells could be restored by miR-125b-5p up-regulation. Considering, our investigation exhibited that miR-125b-5p curbed EC cell malignant phenotypes through targeting MTFP1. This study generates a fresh functional mechanism for EC occurrence and progression, which also lays the groundwork for clinical therapies.

Interactome analysis reveals that lncRNA HULC promotes aerobic glycolysis through LDHA and PKM2.

Interacting with proteins is a crucial way for long noncoding RNAs (lncRNAs) to exert their biological responses. Here we report a high throughput strategy to characterize lncRNA interacting proteins in vivo by combining tobramycin affinity purification and mass spectrometric analysis (TOBAP-MS). Using this method, we identify 140 candidate binding proteins for lncRNA highly upregulated in liver cancer (HULC). Intriguingly, HULC directly binds to two glycolytic enzymes, lactate dehydrogenase A (LDHA) and pyruvate kinase M2 (PKM2). Mechanistic study suggests that HULC functions as an adaptor molecule that enhances the binding of LDHA and PKM2 to fibroblast growth factor receptor type 1 (FGFR1), leading to elevated phosphorylation of these two enzymes and consequently promoting glycolysis. This study provides a convenient method to study lncRNA interactome in vivo and reveals a unique mechanism by which HULC promotes Warburg effect by orchestrating the enzymatic activities of glycolytic enzymes.

Glycine decarboxylase induces autophagy and is downregulated by miRNA-30d-5p in hepatocellular carcinoma.

Glycine decarboxylase (GLDC) belongs to the glycine cleavage system and is involved in one-carbon metabolism. We previously reported that GLDC downregulation enhances hepatocellular carcinoma (HCC) progression and intrahepatic metastasis through decreasing ROS-mediated ubiquitination of cofilin. The role of autophagy in cancer metastasis is still controversial. Redox-dependent autophagy largely relies on the magnitude and the rate of ROS generation. Thus, we aimed to explore the role of GLDC in cellular autophagy during HCC progression. We showed that a high GLDC expression level is associated with better overall survival and is an independent factor for the favorable prognosis of HCC patients. GLDC overexpression significantly induced cell autophagy, whereas GLDC downregulation reduced cell autophagy. Of note, GLDC is the post-transcriptional target of miR-30d-5p. GLDC overexpression could rescue miR-30d-5p-mediated cell metastasis and increase autophagy. Furthermore, upregulation of GLDC could significantly decrease p62 expression and impair intrahepatic metastasis in vivo. Taken together, our results suggest that GLDC may play an important role to increasing miR-30d-5p-reduced autophagy to suppress HCC progress.

Demethylation-Induced Overexpression of Shc3 Drives c-Raf-Independent Activation of MEK/ERK in HCC.

Invasion and intrahepatic metastasis are major factors of poor prognosis in patients with hepatocellular carcinoma (HCC). In this study, we show that increased Src homolog and collagen homolog 3 (Shc3) expression in malignant HCC cell lines associate with HCC invasion and metastasis. Shc3 (N-Shc) was significantly upregulated in tumors of 33 HCC patient samples as compared with adjacent normal tissues. Further analysis of 52 HCC patient samples showed that Shc3 expression correlated with microvascular invasion, cancer staging, and poor prognosis. Shc3 interacted with major vault protein, resulting in activation of MEK1/2 and ERK1/2 independently of Shc1 and c-Raf; this interaction consequently induced epithelial-mesenchymal transition and promoted HCC cell proliferation and metastasis. The observed increase in Shc3 levels was due to demethylation of its upstream promoter, which allowed c-Jun binding. In turn, Shc3 expression promoted c-Jun phosphorylation in a positive feedback loop. Analysis of metastasis using a tumor xenograft mouse model further confirmed the role of Shc3 in vivo Taken together, our results indicate the importance of Shc3 in HCC progression and identify Shc3 as a novel biomarker and potential therapeutic target in HCC.Significance: Ectopic expression of Shc3 forms a complex with MVP/MEK/ERK to potentiate ERK activation and plays an important role in sorafinib resistance in HCC. Cancer Res; 78(9); 2219-32. ©2018 AACR.

Ectopic overexpression of filamin C scaffolds MEK1/2 and ERK1/2 to promote the progression of human hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) invasion and metastasis are mediated by a complicated signal transduction network and downstream cytoskeletal and adhesion molecules. In this study, a microarray-based analysis revealed a dramatic increase in filamin C (FLNC), which is commonly expressed in muscle rather than in liver cells, in the two metastatic HCC cell lines MHCC97L and HCCLM3. Clinicopathological studies showed that increased FLNC expression was associated with microvascular invasion and poor prognosis. Specific hypomethylation was identified within the FLNC promoter region in HCC cell lines and patient tumor samples, which might contribute to the ectopic overexpression of FLNC. FLNC downregulation inhibited cell migration and impaired cell proliferation and promoted apoptosis. Mechanistic studies suggested that FLNC interacts with mitogen-activated extracellular signal-regulated kinase 1/2 (MEK1/2) and extracellular signal-regulated kinase 1/2 (ERK1/2) and that FLNC downregulation inhibited MEK1/2 and ERK1/2 activation. Xenographic tumor transplantation experiments in nude mice further confirmed the role of FLNC in HCC progression and metastasis. Our results reveal a novel mechanism by which the cytoskeletal protein FLNC enhances the mitogen-activated protein kinase signaling pathway during tumorigenesis.

Aberrant expression of pim-3 promotes proliferation and migration of ovarian cancer cells.

Pim kinase-3(Pim-3), a member of serine/threonine protein kinases, has been implicated in multiple human cancers and involved in Myc-induced tumorigenesis. However, little is known regarding its expression and biological function in human ovarian cancer. In this study we showed that the clinical significance and biological functions of Pim-3 in ovarian cancer and found that higher Pim-3 mRNA level are detected in ovarian cancer tissues than those in normal ovarian tissues. There are significant correlations between higher Pim-3 expression levels with the FIGO stage, histopathological subtypes, and distant metastasis in ovarian cancer patients. Lentivirus-mediated gene overexpression of Pim-3 significantly promotes the proliferation and migration of SKOV3 cell lines. Furthermore, MACC1 and Pim-3 expression were significantly correlated in human ovarian cancer cells, and overexpression of Pim-3 in ovary cancer cells increased MACC1 mRNA and protein expression. The data indicate that Pim-3 acts as a putative oncogene in ovary cancer and could be a viable diagnostic and therapeutic target for ovarian cancer.