Detection of pTDP-43 via routine muscle biopsy: A promising diagnostic biomarker for amyotrophic lateral sclerosis.

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease, pathologically characterized by TDP-43 aggregates. Recent evidence has been indicated that phosphorylated TDP-43 (pTDP-43) is present not only in motor neurons but also in muscle tissues. However, it is unclear whether testing pTDP-43 aggregation in muscle tissue would assist in the diagnosis of ALS. We propose three key questions: (i) Is aggregation of pTDP-43 detectable in routine biopsied muscles? (ii) Can detection of pTDP-43 aggregation discriminate between ALS and non-ALS patients? (iii) Can pTDP-43 aggregation be observed in the early stages of ALS? We conducted a diagnostic study comprising 2 groups: an ALS group in which 18 cases underwent muscle biopsy screened from a registered ALS cohort consisting of 802 patients and a non-ALS control group, in which we randomly selected 54 muscle samples from a biospecimen bank of 684 patients. Among the 18 ALS patients, 3 patients carried pathological GGGGCC repeats in the C9ORF72 gene, 2 patients carried SOD1 mutations, and 7 patients were at an early stage with only one body region clinically affected. The pTDP-43 accumulation could be detected in routine biopsied muscles, including biceps brachii, deltoid, tibialis anterior, and quadriceps. Abnormal aggregation of pTDP-43 was present in 94.4% of ALS patients (17/18) compared to 29.6% of non-ALS controls (16/54; p < 0.001). The pTDP-43 aggregates were mainly close to the sarcolemma. Using a semi-quantified pTDP-43 aggregates score, we applied a cut-off value of 3 as a diagnostic biomarker, resulting in a sensitivity of 94.4% and a specificity of 83.3%. Moreover, we observed that accumulation of pTDP-43 occurred in muscle tissues prior to clinical symptoms and electromyographic lesions. Our study provides proof-of-concept for the detection of pTDP-43 accumulation via routine muscle biopsy which may serve as a novel biomarker for diagnosis of ALS.

TGFß signaling activation correlates with immune-inflamed tumor microenvironment across human cancers and predicts response to immunotherapy.

Considering the determining role of TGFß signaling in the tumor microenvironment (TME) on immune evasion, the inhibition of signaling is expected to enhance the therapeutic efficacy of immunotherapies, especially immune checkpoint blockade (ICB), which is confirmed in preclinical data. However, successive failures in clinical translation occur at the initial stage. To provide a better understanding of TGFß signaling within the TME and its relation to the individual immunological status, we performed a pan-cancer analysis comparing the activation of TGFß pathway among different TMEs based on multi-omics data. Compared with non-inflamed tumors, increased TGFß signaling activity appeared in four non-cancer cell types within TME in inflamed tumors. Significant correlations were revealed between TGFß signaling and reliable biomarkers for ICB therapy, as well as between TGFß signaling and HPV status. Our findings contribute to explain the inconsistency between preclinical and clinical research, and are crucial to optimizing upcoming clinical trial design and improving patient stratification for personalized prediction.

Identification of endocrine-disrupting chemicals targeting the genes and pathways of genital anomalies in males.

Hypospadias and cryptorchidism are the most common congenital malformations in male neonates, both of which are also the important clinical manifestations of testicular dysgenesis syndrome and share a same origin. Many studies have suggested that prenatal exposure to endocrine-disrupting chemicals (EDCs) is associated with hypospadias and cryptorchidism development. However, the consistent mechanisms remain unclear. To identify the key EDCs, genes and biological networks related to the development of hypospadias and cryptorchidism respectively and commonly, we conduct the present study and found a new method for predicting the correlation between the interactive genes of hypospadias/cryptorchidism and chemicals. Transcriptome profiles were obtained from the Comparative Toxicogenomics Database (CTD). Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analyses and protein-protein interaction (PPI) network were applied for integrative analyses. The rat model and molecular docking were applied to furtherly verifying the findings of the integrative analyses. Besides the highly related genes, most enriched pathways and chemicals for hypospadias and cryptorchidism respectively, we found hypospadias and cryptorchidism share many same highly associated EDCs (e.g., dibutyl phthalate) and genes (e.g., androgen receptor and estrogen receptor 1) through comparing highly related chemicals or genes of hypospadias and cryptorchidism respectively. GO and KEGG analysis showed that these same interactive genes were mainly enriched in steroidogenesis, response to steroid hormone and nuclear receptor activity. PPI network analysis identified 15 biological hub genes. Furtherly, hypospadias and cryptorchidism were induced by prenatal dibutyl phthalate exposure. Decreased serum testosterone level, downregulation of nuclear androgen-dependent and upregulation of cytoplasmic estrogen-dependent pathways may lead to hypospadias and cryptorchidism. This study proposed a new method for predicting the correlation between the interactive genes of hypospadias/cryptorchidism and chemicals and found that hypospadias and cryptorchidism share many same highly associated EDCs and genes.

Erectile dysfunction in hypospadiac male adult rats induced by maternal exposure to di-n-butyl phthalate.

For the treatment of hypospadias, a significant number of studies focus on penile reconstruction. However, scant attention is given to sexual behavior of hypospadiac patients and underlying mechanisms. A rat model of hypospadias was constructed by maternal di-n-butyl phthalate (DBP) exposure (800 mg/kg/day by gavage during gestational days 14-18). Ten-week-old male rats with hypospadias undertook significantly decreased penis/body weight ratio, reduced testis/body weight ratio, lower serum testosterone level and thinner myelin sheath thickness of cavernosum nerves. Meanwhile, erectile dysfunction (ED) was found in hypospadiac rats, which showed significant increases in transforming growth factor-ß1 (TGF-ß1) protein expression and decreases in the expression of alpha smooth muscle actin (α-SMA) protein, neuronal and endothelial nitric oxide synthase protein (nNOS and eNOS). In addition, phosphorylated protein kinase B/protein kinase B (pAkt/Akt) ratios were remarkably lower, but the Bcl-2-associated X protein (Bax)/Bcl-2 ratios, caspase-3 protein expression, nuclear factor erythroid 2-related factor 2/ Kelch-like ECH-associated protein 1 (Nrf2/Keap-1) ratios, NAD(P)H dehydrogenase quinone 1(NQO1) protein expression and heme oxygenase-1 (HO-1) protein expression were higher in the hypospadias groups than the control group. Notably, ED is comorbid with hypospadias in cases. Penile fibrosis, testosterone deficiency, and endothelial dysfunction lead to ED in hypospadias induced by DBP eventually, which might be explained by activating Akt/Bad/Bax/caspase-3 pathway, Nrf2/Keap-1 pathway and suppressing NOS/cGMP pathway in penis.

[Changes of psychological, erectile and urinary functions of the patients with penile fracture after surgical treatment].

OBJECTIVE: To investigate the impacts of surgical treatment of penile fracture on the short- and long-term psychological, erectile and urinary functions of the patient. METHODS: Fifty patients with penile fracture underwent surgical treatment in the Emergency Department of our hospital from June 2010 to December 2015. Using the Self-Rating Depression Scale (SDS), Self-Rating Anxiety Scale (SAS), IIEF-5 and IPSS, we evaluated the psychological, erectile and urinary functions of the patients at 1 day, 6 months and 18 months after surgery, and analyzed the relationship between psychological and erectile functions as well as the possible factors affecting erectile function postoperatively. RESULTS: Compared with the baseline, significant increases were observed at 6 months after surgery in the SDS score (30.3 ± 4.1 vs 50.7 ± 6.5, P < 0.01) and SAS score (29.9 ± 5.9 vs 55.4 ± 7.7, P < 0.01) but a remarkable decrease in the IIEF-5 score (22.4 ± 1.3 vs 18.4 ± 2.1, P < 0.01). At 18 months, neither SDS (50.7 ± 10.0) or SAS score (54.1 ± 8.7) showed any statistically significant difference from that at 6 months (P > 0.05), but the IIEF-5 score (21.1 ± 2.2) was markedly lower than the baseline (P < 0.01), though higher than that at 6 months (P < 0.01). The IPSS scores at 6 and 18 months exhibited were not significantly different from that preoperatively (P > 0.05). Both the SDS and SAS scores were evidently higher in the patients with severe than in those with mild ED. The body mass index (BMI) and waiting time for surgery were significantly negatively correlated with short- and long-term erectile function of the patients after surgery. CONCLUSIONS: Patients with penile fracture may have decreased erectile function after surgery, accompanied with anxiety and depression. The risk factors for ED include BMI and waiting-for-surgery time.

[Stem cell therapy for erectile dysfunction: An update].

Erectile dysfunction (ED) is a common andrological disorder, and traditional oral drugs often fail to achieve satisfactory therapeutic effects. As a new field of biomedicine, stem cell therapy (SCT) has seen a significantly increasing number of researches on its treatment of ED in recent years. Preclinical animal models for the study of ED mainly include the models of diabetes mellitus-, aging-, cavernous nerve injury-, and Peyronie's disease-related ED. Previous studies indicated that SCT improved erectile function through paracrine and was more effective when combined with other therapies than used alone in restoring ED-induced pathological changes. Although clinical trials on SCT have partially proved its safety and effectiveness for the treatment of ED, they were still in the early stages and with relatively small sample sizes. This article summarizes the latest advances in the treatment of ED by SCT.

A novel signature constructed by ferroptosis-associated genes (FAGs) for the prediction of prognosis in bladder urothelial carcinoma (BLCA) and associated with immune infiltration.

BACKGROUND: Ferroptosis, a novel form of regulated cell death, has been implicated in the pathogenesis of cancers. Nevertheless, the potential function and prognostic values of ferroptosis in bladder urothelial carcinoma (BLCA) are complex and remain to be clarified. Therefore, we proposed to systematically examine the roles of ferroptosis-associated genes (FAGs) in BLCA. METHODS: According to The Cancer Genome Atlas (TCGA) database, differently expressed FAGs (DEFAGs) and differently expressed transcription factors (DETFs) were identified in BLCA. Next, the network between DEFAGs and DETFs, GO annotations and KEGG pathway analyses were performed. Then, through univariate, LASSO and multivariate regression analyses, a novel signature based on FAGs was constructed. Moreover, survival analysis, PCA analysis, t-SNE analysis, ROC analysis, independent prognostic analysis, clinicopathological and immune correlation analysis, and experimental validation were utilized to evaluate the signature. RESULTS: Twenty-eight DEFAGs were identified, and four FAGs (CRYAB, TFRC, SQLE and G6PD) were finally utilized to establish the FAGs based signature in the TCGA cohort, which was subsequently validated in the GEO database. Moreover, we found that immune cell infiltration, immunotherapy-related biomarkers and immune-related pathways were significantly different between two risk groups. Besides, nine molecule drugs with the potential to treat bladder cancer were identified by the connectivity map database analysis. Finally, the expression levels of crucial FAGs were verified by the experiment, which were consistent with our bioinformatics analysis, and knockdown of TFRC could inhibit cell proliferation and colony formation in BLCA cell lines in vitro. CONCLUSIONS: Our study identified prognostic ferroptosis-associated genes and established a novel FAGs signature, which could accurately predict prognosis in BLCA patients.

Age-Related Differences in Molecular Profiles for Immune Checkpoint Blockade Therapy.

Immune checkpoint blockade (ICB) therapies have significantly improved the prognosis and shown considerable promise for cancer therapy; however, differences in ICB treatment efficacy between the elderly and young are unknown. We analyzed the studies enrolled in the meta-analysis using the deft approach, and found no difference in efficacy except melanoma patients receiving anti-PD-1 therapy. Similarly, higher treatment response rate and more favorable prognosis were observed in elderly patients in some cancer types (e.g., melanoma) with data from published ICB treatment clinical trials. In addition, we comprehensively compared immunotherapy-related molecular profiles between elderly and young patients from public trials and The Cancer Genome Atlas (TCGA), and validated these findings in several independent datasets. We discovered a divergent age-biased immune profiling, including the properties of tumors (e.g., tumor mutation load) and immune features (e.g., immune cells), in a pancancer setting across 27 cancer types. We believe that ICB treatment efficacy might vary depending on specific cancer types and be determined by both the tumor internal features and external immune microenvironment. Considering the high mutational properties in elderly patients in many cancer types, modulating immune function could be beneficial to immunotherapy in the elderly, which requires further investigation.

Prenatal exposure to di-n-butyl phthalate induces erectile dysfunction in male adult rats.

Di-n-butyl phthalate (DBP) is a widely used plasticizer and an environmental endocrine-disrupting compound. However, whether prenatal exposure to DBP can impair erectile function remains unknown. We conducted this study to investigate the potential effects of prenatal exposure to DBP on erectile function and the underlying mechanisms. A rat model of prenatal DBP exposure (12.5, 100 or 800 mg/kg/day by gavage during gestational days 13-21) was established. Prenatal DBP exposure significantly decreased penis/body weight ratio, myelin sheath thickness of cavernosum nerves and serum testosterone level in male rats at the age of 10 weeks. Furthermore, erectile dysfunction was detected in all DBP exposure groups, which exhibited substantial increases in transforming growth factor-ß1 (TGF-ß1) expression and decreases in the expression of alpha smooth muscle actin (α-SMA), neuronal and endothelial nitric oxide synthase (nNOS and eNOS). Additionally, the phospho-B-cell lymphoma 2 (Bcl-2)-associated death promoter (p-Bad)/Bad and phospho-the protein kinase B (p-AKT)/AKT ratios were remarkably lower, but the Bcl-2-associated X protein (Bax)/Bcl-2 ratio and caspase-3 were higher in DBP exposure groups than in the control group. Notably, prenatal exposure to DBP increase the risk of ED in male adult rats, even taking low dose of DBP (12.5 mg/kg/day). DBP exposure causing penile fibrosis, decreased testosterone level, and endothelial dysfunction may be responsible for ED by activating Akt/Bad/Bax/caspase-3 pathway and suppressing NOS/cGMP pathway in penis.

Malignant Evaluation and Clinical Prognostic Values of M6A RNA Methylation Regulators in Prostate Cancer.

Objective: M6A RNA modification is closely associated with tumor genesis and progression of several malignancies; however, its role in prostate cancer (PCa) remains poorly understood. Materials and methods: Expression data and corresponding clinicopathologic information were available freely from the Cancer Genome Atlas (TCGA) dataset. We compared the expression level of m6A RNA methylation regulators in PCa with different clinicopathologic characteristics and identified subgroups based on their expressions with consensus clustering. To build the signature and assess its prognostic value, several methods were used for the analysis, including univariate Cox regression analysis, Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis, time-dependent receiver operating curve (ROC), and Kaplan-Meier (KM) survival analysis. Results: Most of the m6A RNA methylation regulators were differentially expressed not only between normal and tumor tissue but also among PCa stratified by different clinicopathologic characteristics. There were obvious differences between two clusters, cluster 1 and 2, regarding clinicopathologic features, and the recurrence-free survival (RFS) in cluster 2 was significantly worse than cluster 1. We developed an eleven-gene signature which exhibited a high prognostic value and was able to independently predict RFS. Moreover, a nomogram which integrated clinical information and the gene signature was capable of distinguishing high-risk recurrent patients. Conclusion: These methylation regulators are correlated to clinicopathologic characteristics in PCa and a prognostic model using m6A methylation-related genes is constructed and of high predictive value for recurrence after RP.

A Novel Set of Immune-associated Gene Signature predicts Biochemical Recurrence in Localized Prostate Cancer Patients after Radical Prostatectomy.

Background: Decision-making regarding biochemical recurrence (BCR) in localized prostate cancer (PCa) patients after radical prostatectomy (RP) mainly relies on clinicopathological parameters with a low predictive accuracy. Currently, accumulating evidence suggests that immune-associated genes (IAGs) play irreplaceable roles in tumorigenesis, progression and metastasis. Considering the critical role of immune in PCa, we therefore attempted to identify the novel IAGs signature and validate its prognostic value that can better forecast the risk for BCR and guide clinical treatment. Methods: RNA-sequencing and corresponding clinicopathological data were downloaded from the Gene Expression Omnibus (GEO) database and the Cancer Genome Atlas (TCGA) database. Weighted gene co-expression network analysis (WGCNA) was utilized to screen out the candidate module closely related to BCR, and univariate and LASSO Cox regression analyses were performed to build the gene signature. Kaplan-Meier (KM) survival analysis, time-dependent receiver operating curve (ROC), independent prognostic analysis and nomogram were also applied to evaluate the prognostic value of the signature. Besides, Gene ontology analysis (GO), Kyoto encyclopedia of genes and genomes (KEGG) and gene set enrichment analysis (GSEA) were used to explore potential biological pathways. Results: A total of six IAGs (SSTR1, NFATC3, NRP1, TUBB3, IL1R1, GDF15) were eventually identified and used to establish a novel IAGs signature. The Kaplan-Meier analysis revealed that patients with low-risk scores had longer recurrence-free survival (RFS) than those with high-risk scores in both GSE70769 and TCGA cohorts. Further, our signature was also proven to be a valuable independent prognostic factor for BCR. We also constructed a nomogram based on the gene signature and related clinicopathologic features, which excellently predict 1-year, 3-year and 5-year prognosis of localized PCa patients after RP. Moreover, functional enrichment analysis demonstrated the vital biological processes, and stratified GSEA revealed that a crucial immune-related pathway (T cell receptor signaling pathway) was notably enriched in the high-risk group. Conclusions: We successfully developed a novel robust IAGs signature that is powerful in BCR prediction in localized PCa patients after RP, and created a prognostic nomogram. In addition, the signature might help clinicians in selecting high-risk subpopulation, predicting survival status of patients and promoting more individualized therapies than traditional clinical factors.

Identification and validation of a six immune-related gene signature for prediction of biochemical recurrence in localized prostate cancer following radical prostatectomy.

BACKGROUND: Prostate cancer (PCa) is the second lethal heterogeneous cancer among males worldwide, and approximately 20% of PCa patients following radical prostatectomy (RP) will undergo biochemical recurrence (BCR). This study is aimed to identify the immune-related gene signature that can predict BCR in localized PCa following RP. METHODS: Expression profile of genes together with clinical parameters from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus database (GEO) and the immune-related genes from the Molecular Signatures Database v4.0 were applied to construct and validate the gene signature. The Cox regression analyses were conducted to identify the candidate genes and establish the gene signature. To estimate the prognostic power of the risk score, the time-dependent receiver operating characteristic (ROC) analysis and Harrell's index of concordance (C-index) were utilized. We also established a nomogram to forecast the probability of patients' survival. RESULTS: A total of 268 patients from the TCGA and 77 patients from GSE70770 and six immune-related genes (SCIN, THY1, TBX1, NOTCH4, MAL, BNIP3L) were eventually selected. The Kaplan-Meier analysis demonstrated that patients in the low-risk group had a significantly longer recurrence-free survival (RFS) compared to those in the high-risk group. In the multivariate Cox model, the signature was identified as an independent prognostic factor, which was significantly associated with RFS (TCGA: HR =5.232, 95% CI: 1.762-15.538, P=0.003; GSE70770: HR =2.158, 95% CI: 1.051-4.432, P=0.036). Moreover, the C-index got improved after incorporating the risk score into original clinicopathological parameters. In addition, the novel nomogram was constructed to better predict the 1-, 3- and 5-year RFS. CONCLUSIONS: This signature could serve as an independent prognostic factor for BCR. Incorporation of our signature into traditional risk classification might further stratify patients with different prognosis, which could assist practitioners in developing clinical decision-making.

Identification and validation of a prognostic immune-related lncRNA signature in bladder cancer.

BACKGROUND: Recently, researches have implied that immune-related lncRNAs (IR-lncRNAs) have a vital role in tumor occurrence and development. However, the study in bladder cancer (Bca) is still unclear. New biomarkers and reliable prognostic models for Bca are still limited. Here, we investigated the potential application value of immune-related lncRNAs in the prognostic evaluation of Bca patients. METHODS: We obtained clinical information and corresponding sequencing data from the The Cancer Genome Atlas (TCGA) database, and the cohort of Bca patients was divided into training and validation cohorts (ratio 7:3) randomly. An immune-related lncRNA co-expression network was constructed to identify immune-related lncRNAs. The candidate module intimately associated with overall survival (OS) was identified by using weighted gene co-expression network analysis (WGCNA). Univariate, multivariate Cox regression and LASSO analysis were performed to build the immune-related lncRNA signature. A prognostic model was further developed and its prognostic value was evaluated by Kaplan-Meier (KM) analysis. GSEA, KEGG analysis and GO annotation were used for functional annotation in this study. RESULTS: Totally, we identified 1,249 differentially expressed IR-lncRNAs were and six of which (AC005674.2, AC090948.1, TFAP2A-AS1, AL354919.2, AC011468.1 and AC018809.2) were finally selected in the gene signature. According to survival analysis, patients with high-risk scores were significantly related to poor survival outcomes. Furthermore, we established a novel gene signature demonstrated high prognostic value, and can be utilized as an independent risk factor (validation cohort: P<0.001, HR =3.832; training cohort: P<0.001, HR =2.843). Additionally, we built a nomogram on account of the clinicopathologic characteristics and gene signature to predict the survival probability of 1-, 3- and 5-year in Bca patients. The value of AUC curve of 1-, 3- and 5-year survival probability was 0.724, 0.777 and 0.77, severally. Furthermore, some enrichment pathways were identified by KEGG and GO analysis, and might be useful to display the potential mechanism for Bca. CONCLUSIONS: Our results indicated that the signature of six immune-related lncRNAs had an underlying value in the prognosis of Bca patients and might be helpful for the immunotherapy of Bca.

The Identification and Validation of a Robust Immune-Associated Gene Signature in Cutaneous Melanoma.

BACKGROUND: Cutaneous melanoma is defined as one of the most aggressive skin tumors in the world. An increasing body of evidence suggested an indispensable association between immune-associated gene (IAG) signature and melanoma. This article is aimed at formulating an IAG signature to estimate prognosis of melanoma. METHODS: 434 melanoma patients were extracted from The Cancer Genome Atlas (TCGA) database, and 1811 IAGs were downloaded from the ImmPort database in our retrospective study. The Cox regression analysis and LASSO regression analysis were utilized to establish a prognostic IAG signature. The Kaplan-Meier (KM) survival analysis was performed, and the time-dependent receiver operating characteristic curve (ROC) analysis was further applied to assess the predictive value. Besides, the propensity score algorithm was utilized to balance the confounding clinical factors between the high- and low-risk groups. RESULTS: A total of six prognostic IAGs comprising of INHA, NDRG1, IFITM1, LHB, GBP2, and CCL8 were eventually filtered out. According to the KM survival analysis, the results displayed a shorter overall survival (OS) in the high-risk group compared to the low-risk group. In the multivariate Cox model, the gene signature was testified as a remarkable prognostic factor (HR = 45.423, P < 0.001). Additionally, the ROC curve analyses were performed which demonstrated our IAG signature was superior to four known biomarkers mentioned in the study. Moreover, the IAG signature was significantly related to immunotherapy-related biomarkers. CONCLUSION: Our study demonstrated that the six IAG signature played a critical role in the prognosis and immunotherapy of melanoma, which might help clinicians predict patients' survival and provide individualized treatment.

m6A RNA methylation regulators play an important role in the prognosis of patients with testicular germ cell tumor.

BACKGROUND: N6-methyladenosine (m6A) is found to be associated with promoting tumorigenesis in different types of cancers, however, the function of m6A-related genes in testicular germ cell tumors (TGCT) development remains to be illuminated. This study aimed to investigated the prognostic value of m6A RNA methylation regulators in TGCT. METHODS: We collected TGCT patients' information about clinicopathologic parameters and twenty-two m6A regulatory genes expression from The Cancer Genome Atlas (TCGA) database and Genotype-Tissue Expression (GTEx). We analyzed the differentially expressed m6A RNA methylation regulators between tumor tissues and normal tissues, as well as the correlation of m6A RNA methylation regulators. By using Cox univariate analysis, last absolute shrinkage and selection operator (LASSO) Cox regression algorithm and Cox multivariate proportional hazards regression analysis, a risk score was constructed based on a TCGA training cohort, and further verified in the TCGA testing cohort. Then, univariate and multivariate Cox regression analyses were used to evaluate the relationship between risk score and progression-free survival (PFS) in TGCT. Finally, the six-gene risk score was further verified by two gene expression profiles (GSE3218 and GSE10783) as an independent external validation cohort. RESULTS: Distinct expression patterns of m6A regulatory genes were identified between TGCT tissues and normal tissues in TCGA and GTEx datasets. To predict prognosis of TGCT patients, a risk score was calculated based on six selected m6A RNA methylation regulators (YTHDF1, RBM15, IGF2BP1, ZC3H13, METTL3, and FMR1). Additionally, we found significant differences between the high-risk and low-risk groups in serum marker study levels and histologic subtype. Univariate and multivariate analysis indicated that high risk score was associated with unfavorable PFS. Ultimately, the risk score was further verified by two gene expression profiles (GSE3218 and GSE10783). CONCLUSIONS: Based on six selected m6A RNA methylation regulators, we developed a m6A methylation related risk score that can independently predict the prognosis of TGCT patients, and verify the prediction efficiency in TCGA and GEO datasets. Patients in high-risk group were associated with serum tumor marker study levels beyond the normal limits, non-seminoma, and unfavorable survival time. However, further prospective experiments should be carried out to verify our results.

A Novel Apoptosis-Related Gene Signature Predicts Biochemical Recurrence of Localized Prostate Cancer After Radical Prostatectomy.

Background: Nowadays, predictions of biochemical recurrence (BCR) in localized prostate cancer (PCa) patients after radical prostatectomy (RP) are mainly based on clinical parameters with a low predictive accuracy. Given the critical role of apoptosis in PCa occurrence and progression, we aimed to establish a novel predictive model based on apoptosis-related gene signature and clinicopathological parameters that can improve risk stratification for BCR and assist in clinical decision-making. Methods: Expression data and corresponding clinical information were obtained from four public cohorts, one from The Cancer Genome Atlas (TCGA) dataset and three from the Gene Expression Omnibus (GEO) dataset. Weighted gene co-expression network analysis (WGCNA) was performed to identify candidate modules closely correlated to BCR, and univariate and multivariate Cox regression analyses were utilized to build the gene signature. Time-dependent receiver operating curve (ROC) and Kaplan-Meier (KM) survival analysis were used to assess the prognostic value. Finally, we analyzed the expression of genes in the signature and validated the results using quantitative real-time PCR (qRT-PCR). Results: The novel gene signature we established exhibited a high prognostic value and was able to act as an independent risk factor for BCR [Training set: P < 0.001, hazard ratio (HR) = 7.826; Validation set I: P = 0.006, HR = 2.655; Validation set II: P = 0.003, HR = 4.175; Validation set III: P < 0.001, HR = 3.008]. Nomogram based on the gene signature and clinical parameters was capable of distinguishing high-risk BCR patients. Additionally, functional enrichment analysis showed several enriched pathways and biological processes, which might help reveal the underlying mechanism. The expression results of qRT-PCR were consistent with TCGA results. Conclusion: The apoptosis-related gene signature could serve as a powerful predictor and risk factor for BCR in localized PCa patients after RP.

Comprehensive Analysis of lncRNA Expression Pattern and lncRNA-miRNA-mRNA Network in a Rat Model With Cavernous Nerve Injury Erectile Dysfunction.

BACKGROUND: Long noncoding RNAs (lncRNAs) are differentially expressed in erectile dysfunction (ED) associated with aging and diabetes mellitus; however, the lncRNA expression profile in cavernous nerve (CN) injury-related ED (CNI-ED) is unknown. AIM: To investigate the dysregulated lncRNAs, microRNAs (miRNAs), and mRNA expression in CNI-ED and construct a potential lncRNA-miRNA-mRNA network. METHODS: 22 male Sprague-Dawley (SD) rats were divided into bilateral CN crush (BCNC) and Sham groups. Using second-generation high-throughput sequencing technology, we analyzed the expression profiles of lncRNA, miRNA, and mRNA of the 2 groups. 17 differentially expressed lncRNAs were selected and further validated by quantitative real-time polymerase chain reaction (RT-qPCR). The lncRNA-miRNA-mRNA network, Gene Ontology (GO) term enrichment, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed using Cytoscape. OUTCOMES: Intra-cavernosal pressure, mean arterial pressure, smooth muscle content, and the expression of miRNA, mRNA, and lncRNA were measured. RESULTS: The BCNC group showed decreased intra-cavernosal/mean arterial pressure as well as decreased smooth muscle/collagen ratios compared with the Sham group. The RNA sequencing results revealed dysregulated expressions of 65 lncRNA, 14 miRNA, and 750 mRNA in the BCNC group based on the following criteria: fold change >2 and P < .05. Among the 17 lncRNAs further selected based on mean count number >4 in both groups, 3 lncRNAs (TCONS_00028173, TCONS_00049985, and TCONS_00058429) were further validated for differential expression by RT-qPCR. GO analysis suggests that these 3 lncRNAs could regulate various processes such as myotube differentiation and muscle cell differentiation. Furthermore, the KEGG pathway analysis showed that the mRNAs in the competing endogenous RNA (ceRNA) network are involved in pathways, including axon guidance and vascular endothelial growth factor signaling pathway. CLINICAL TRANSLATION: Our findings may provide new information on molecular pathophysiology of CNI-ED and suggest further research to find a more effective therapy for CNI-ED. STRENGTHS & LIMITATIONS: This study is the first to identify the lncRNA expression pattern and propose a ceRNA network in a rat model with cavernous nerve injury-related erectile dysfunction. However, analogous studies are needed to confirm these findings in humans. In addition, we constructed the network by only confirming the lncRNA. CONCLUSION: Our study reveals differential expression profiles of lncRNAs, miRNAs, and mRNAs between the BCNC and Sham groups and suggests that these differentially expressed lncRNAs may play critical roles in CNI-ED by regulating apoptosis and fibrosis in the corpus cavernosum via targeting mRNAs or miRNAs. Cong R, Wang Y, Wang Y. Comprehensive Analysis of lncRNA Expression Pattern and lncRNA-miRNA-mRNA Network in a Rat Model With Cavernous Nerve Injury Erectile Dysfunction. J Sex Med 2020;17:1603-1617.

A twelve-gene signature for survival prediction in malignant melanoma patients.

BACKGROUND: Melanoma is defined as a highly mutational heterogeneous disease containing numerous alternations of the molecule. However, due to the phenotypically and genetically heterogeneity of malignant melanoma, conventional clinical characteristics remain restricted or limited in the ability to accurately predict individual outcomes and survival. This study aimed to establish an accurate gene expression signature to predict melanoma prognosis. METHODS: In this study, we established an RNA sequencing-based 12-gene signature data of melanoma patients obtained from 2 independent databases: the Cancer Genome Atlas (TCGA) database and the Gene Expression Omnibus (GEO) database. We evaluated the quality of each gene to predict survival conditions in each database by employing univariate and multivariate regression models. A prognostic risk score based on a prognostic signature was determined. This prognostic gene signature further classified patients into low-risk and high-risk groups. RESULTS: Based on a prognostic signature, a prognostic risk score was determined. This prognostic gene signature further divided the patients into low-risk and high-risk groups. In the chemotherapy and radiotherapy groups of the TCGA cohort and V-raf murine sarcoma viral oncogene homolog B1 (BRAF) expression group in the GEO cohort, patients in the low-risk group had a longer survival duration compared to patients in the high-risk group. Nevertheless, the immunotherapy group in the TCGA database and neuroblastoma RAS viral oncogene homolog (NRAS) expression group in the GEO database had no significant differences in statistics. Moreover, this gene signature was associated with patient prognosis regardless of whether the Breslow depth was greater than or less than 3.75 mm. Stratified gene set enrichment analysis (GSEA) revealed that certain immune-related pathways, such as the T-cell signaling pathway, chemokine signaling pathway, and primary immunodeficiency, were significantly enriched in the low-risk group of both TCGA and GEO cohorts. This information implied the immune-related properties of the 12-gene signature. CONCLUSIONS: Our study emphasizes the significance of the gene expression signature in that it may be an indispensable prognostic predictor in melanoma and has great potential for application in personalized treatment.

The construction and analysis of competitive endogenous RNA (ceRNA) networks in metastatic renal cell carcinoma: a study based on The Cancer Genome Atlas.

BACKGROUND: The pathogenesis of metastatic renal cell carcinoma (mRCC), one of the most common malignant neoplasms, remains unknown. Studies on competitive endogenous RNAs (ceRNAs) have uncovered new interactions between RNAs, which suggest their roles in cancer pathogenesis. However, the role of ceRNA networks in mRCC has not yet been studied. Thus, this study aims to explore the role of ceRNA networks in mRCC development and identify potential prognostic indicators. METHODS: We analyzed RNA sequencing data of mRCC patients, which had been obtained from The Cancer Genome Atlas (TCGA) database. Next, differentially expressed long-noncoding RNAs (DElncRNAs), differentially expressed micro RNAs (DEmiRNAs), and differentially expressed messenger RNAs (DEmRNAs) in mRCC and clear cell RCC (ccRCC) samples were identified using the edgeR package that is available in R software. Moreover, based on the Database for Annotation, Visualization, and Integrated Discovery (DAVID), enrichment analyses for biological processes and pathways functional were performed. As such, we built a ceRNA network and performed a survival analysis using the survival package in R. RESULTS: A total of 369 DElncRNAs, 12 DEmiRNAs, and 728 DEmRNAs were identified for further analysis. Of these, 11 lncRNAs, 20 mRNAs, and 2 miRNAs were included in the ceRNA network. Moreover, 7 of the 11 lncRNAs and 3 of the 20 mRNAs were associated with the overall survival of mRCC patients (P<0.05). CONCLUSIONS: Collectively, our findings allow a deepened understanding of the molecular mechanism of the ceRNA network and its role in mRCC development, which can guide both mRCC therapy and related future research.

Integrative analysis of ceRNA network and DNA methylation associated with gene expression in malignant pheochromocytomas: a study based on The Cancer Genome Atlas.

BACKGROUND: Competitive endogenous RNAs (ceRNAs) have revealed a new mechanism of interaction between RNAs. Epigenetic regulation in the gene expression dynamics has become increasingly important in malignant pheochromocytomas (PCCs). We performed an integrative analysis of ceRNA networks and DNA methylation to identify key biomarkers and contribute to the understanding of the molecular biological mechanisms of malignant PCCs. METHODS: Differentially expressed genes in malignant PCCs and controls were identified from The Cancer Genome Atlas database by using the Limma package in R (v3.4.4). An abnormal lncRNA-miRNA-mRNA ceRNA network was constructed for malignant PCCs, and function enrichment analysis was performed using the Database for Annotation, Visualization, and Integrated Discovery. For DNA methylation datasets, the methylation analysis package was used in identifying differential methylation genes, and potential prognostic genes were identified by Kaplan-Meier survival analysis. RESULTS: A total of 447 lncRNAs, 26 miRNAs, and 1,607 mRNAs were found to be differentially expressed in malignant PCCs as compared with those in normal samples. We then constructed an abnormal lncRNA-miRNA-mRNA ceRNA network for malignant PCCs. The network consisted of 12 lncRNAs, 6 miRNAs, and 220 mRNAs. Functional enrichment analysis showed that differentially expressed mRNAs were particularly enriched in the biological process, cellular component, and molecular function. Furthermore, four differentially expressed mRNAs from ceRNAs were identified through the cross-analysis of gene expression and DNA methylation profiles. LncRNA C9orf147 and 6 out of 220 mRNAs were indicated as prognostic biomarkers for patients with malignant PCCs (P<0.05). CONCLUSIONS: Our research increases the understanding of the pathogenesis of malignant PCCs and offers potential genes as underlying therapeutic targets or prognostic biomarkers.