Identification of tumor immunophenotypes associated with immunotherapy response in bladder cancer.

OBJECTIVES: This study aims to reveal immunophenotypes associated with immunotherapy response in bladder cancer, identify the signature genes of immune subtypes, and provide new molecular targets for improving immunotherapy response. METHODS: Bladder cancer immunophenotypes were characterized in the bulk RNA sequencing dataset GSE32894 and Imvigor210, and gene expression signatures were established to identify the immunophenotypes. Expression of gene signatures were validated in single-cell RNA sequencing dataset GSE145140 and human proteins expression data source. Investigation of Immunotherapy Response was performed in IMvigor210 dataset. Prognosis of tumor immunophenotypes was further analyzed. RESULTS: Inflamed and immune-excluded immunophenotypes were characterized based on the tumor immune cell scores. Risk score models that were established rely on RNA sequencing profiles and overall survival of bladder cancer cohorts. The inflamed tumors had lower risk scores, and the low-risk tumors were more likely to respond to atezolizumab, receiving complete response/partial response (CR/PR). Patients who responded to atezolizumab had higher SRRM4 and lower NPHS1 and TMEM72 expression than the non-responders. SRRM4 expression was a protective factor for bladder cancer prognosis, while the NPHS1 and TMEM72 showed the opposite pattern. CONCLUSION: This study provided a novel classification method for tumor immunophenotypes. Bladder cancer immunophenotypes can predict the response to immune checkpoint blockade. The immunophenotypes can be identified by the expression of signature genes.

High expression of centromere protein A and its molecular mechanism and clinical significance in prostate cancer: A study based on data mining and immunohistochemistry.

The progression of prostate cancer (PCa) leads to poor prognosis. However, the molecular mechanism of PCa is still not completely clear. This study aimed to elucidate the important role of centromere protein A (CENPA) in PCa. Large numbers of bulk RNA sequencing (RNA-seq) data and in-house immunohistochemistry data were used in analysing the expression level of CENPA in PCa and metastatic PCa (MPCa). Single-cell RNA-seq data was used to explore the expression status of CENPA in different prostate subpopulations. Enrichment analysis was employed to detect the function of CENPA in PCa. Clinicopathological parameters analysis was utilised in analysing the clinical value of CENPA. The results showed that CENPA was upregulated in PCa (standardised mean difference [SMD] = 0.83, p = 0.001) and MPCa (SMD = 0.61, p = 0.029). CENPA was overexpressed in prostate cancer stem cells (CSCs) with androgen receptor (AR) negative compared to epithelial cells with AR positive. CENPA may influence the development of PCa through affecting cell cycle. Patients with nodal metastasis had higher expression level of CENPA. And patients with high CENPA expression had poor disease-free survival. Taken together, Overexpression of CENPA may influence the development of PCa by regulating cell cycle and promoting metastasis.

Down-regulation and clinical significance of Sorbin and SH3 domain-containing protein 1 in bladder cancer tissues.

Bladder cancer (BC) is a common cancer worldwide with a high prevalence. This study was conducted to elucidate the expression and clinical significance of Sorbin and SH3 domain-containing protein 1 (SORBS1) in BC as well as to explore its molecular mechanism in BC tumourigenesis. RNA-sequencing data, microarray, and Immunohistochemistry (IHC) were applied to elucidated the SORBS1 expression at multiple levels. After that, the relationship between tumour-immune infiltration and SORBS1 was also explored. Finally, SORBS1-related genes in BC were identified to perform functional enrichment analyses. The expression integration revealed that the comprehensive expression of SORBS1 at the mRNA level was -1.02 and that at the protein level was -3.73, based on 12 platforms, including 1221 BC and 187 non-BC samples. SORBS1 was negatively correlated with tumour purity (correlation = -0.342, p < 0.001) and positively correlated with macrophage (correlation = 0.358, p < 0.001). The results of enrichment analyses revealed that the most significant biological pathways of SORBS1-related genes were epithelial-mesenchymal transition. SORBS1 was significantly down-regulated in BC and may play a role as tumour suppressor. This study provides new directions and biomarkers for future BC diagnosis.

Nitidine chloride regulates cell function of bladder cancer in vitro through downregulating Lymphocyte antigen 75.

Nitidine chloride (NC) is effective on cancer in many tumors, but its effect on bladder cancer (BC) is unknown. We conducted cell function experiments to verify the antineoplastic effect of NC on BC cell lines (5637, T24, and UM-UC-3) in vitro. Then, mRNAs of NC-treated and NC-untreated BC cells were extracted for mRNA sequencing. Differentially expressed genes (DEGs), expression analysis, and drug molecular docking were conducted to discover the target gene of NC. Finally, functional enrichment was analyzed to explore the underlying mechanisms. NC dramatically inhibited proliferation, migration, and invasion, and it induced apoptosis and arrested the S and G2/M phases of BC cell lines. Lymphocyte antigen 75 (LY75) appeared to be the target of NC. LY75 was highly expressed and had the ability to distinguish BC tissue from non-cancerous tissue. Then, drug molecular docking confirmed the targeting relationship between NC and LY75. Gene enrichment analysis showed that the downregulated genes, after being treated with NC, were mainly enriched in pathways relevant to cell pathophysiological processes. NC inhibits BC cell proliferation, migration, and invasion, induces apoptosis, and arrests cell cycles by downregulating the expression of LY75. This study provides molecular and theoretical bases for NC treatment of BC.

Metadherin Promotes the Development of Bladder Cancer by Enhancing Cell Division.

Background: Bladder cancer (BLCA) is a malignant tumor occurring in bladder mucosa. Metadherin (MTDH) has been implicated in tumor progression; however, its molecular biological mechanisms in BLCA remain unclear. Materials and Methods: Cell functions were tested after BLCA cells were transfected by both short hairpin RNAs and small interfering RNAs to silence MTDH. Furthermore, in-house RNA sequencing (RNA-seq) was performed with T24 cells after the knockdown of MTDH. In addition, MTDH-related pathways were explored. Finally, MTDH mRNA and protein expression levels were examined using multiple detection methods in BLCA tissues. Results: MTDH knockdown could largely inhibit cell proliferation, viability, and migration and induce apoptosis of BLCA cells. In-house RNA-seq showed that MTDH knockdown led to extracellular matrix organization and cell division. The integrated analysis showed that the comprehensive expression of MTDH at the mRNA level was 0.47 and that at the protein level was 0.54, based on 11 platforms, including 1485 BLCA and 180 non-BLCA samples. Conclusions: MTDH promotes the growth of BLCA cells through the pathway of cell division. This study provides new directions and biomarkers for future treatment.

Clinical significance and potential regulatory mechanism of overexpression of pituitary tumor-transforming gene transcription factor in bladder cancer.

BACKGROUND: Pituitary tumor transforming gene-1 (PTTG1) transcription factor is identified as carcinogenic and associated with tumor invasiveness, but its role in bladder cancer (BLCA) remains obscure. This research is intended to analyze the aberrant expression and clinical significance of PTTG1 in BLCA, explore the relationship between PTTG1 and tumor microenvironment characteristics and predict its potential transcriptional activity in BLCA tissue. METHODS: We compared the expression discrepancy of PTTG1 mRNA in BLCA and normal bladder tissue, using the BLCA transcriptomic datasets from GEO, ArrayExpress, TCGA, and GTEx. In-house immunohistochemical staining was implemented to determine the PTTG1 protein intensity. The prognostic value of PTTG1 was evaluated using the Kaplan-Meier Plotter. CRISPR screen data was utilized to estimate the effect PTTG1 interference has on BLCA cell lines. We predicted the abundance of the immune cells in the BLCA tumor microenvironment using the microenvironment cell populations-counter and ESTIMATE algorithms. Single-cell RNA sequencing data was applied to identify the major cell types in BLCA, and the dynamics of BLCA progression were revealed using pseudotime analysis. PTTG1 target genes were predicted by CistromeDB. RESULTS: The elevated expression level of PTTG1 was confirmed in 1037 BLCA samples compared with 127 non-BLCA samples, with a standardized mean difference value of 1.04. Higher PTTG1 expression status exhibited a poorer BLCA prognosis. Moreover, the PTTG1 Chronos genetic effect scores were negative, indicating that PTTG1 silence may inhibit the proliferation and survival of BLCA cells. With PTTG1 mRNA expression level increasing, higher natural killer, cytotoxic lymphocyte, and monocyte lineage cell infiltration levels were observed. A total of four candidate targets containing CHEK2, OCIAD2, UBE2L3, and ZNF367 were determined ultimately. CONCLUSIONS: PTTG1 mRNA over-expression may become a potential biomarker for BLCA prognosis. Additionally, PTTG1 may correlate with the BLCA tumor microenvironment and exert transcriptional activity by targeting CHEK2, OCIAD2, UBE2L3, and ZNF367 in BLCA tissue.

Decreased expression of transcription factor Homeobox A11 and its potential target genes in bladder cancer.

Bladder cancer (BC) ranks as the ninth most commonly diagnosed cancer worldwide. The presence of a transcription factor (TF) has been uncovered as a significant contributor to the pathophysiological changes of cancers. In present study, we elucidated the expression and clinical significance of Homeobox A11 (HOXA11) in BC for the first time, and originally investigated HOXA11 as a TF. Employing in-house immunohistochemistry (IHC), we incorporated 137 BC and 34 non-BC cases to detect the expression of HOXA11 protein in BC tissues. HOXA11-related RNA-sequencing (RNA-seq) expression and RNA microarrays were collected from public databases, the "sva" and "limma" R packages were implemented to integrate and normalize the RNA-seq data and microarrays separately. Integration expression was carried out to further evaluate the HOXA11 expression by utilizing the standard mean difference (SMD). The expression level of HOXA11 in various BC cell lines was also evaluated. We further systematically analyzed the downstream target genes of HOXA11 in BC by utilizing Chromatin Immunoprecipitation Sequencing (ChIP-seq) profiles, differentially expressed genes (DEGs), and HOXA11-related genes. Modification of histone marks on the promoter region of target genes were also discovered by histone ChIP-seq data. Results of the IHC and RNA-seq revealed the protein and mRNA expression of HOXA11 was significantly decreased in BC tissues compared to non-BC tissues (2.98 ± 1.48 vs. 8.23 ± 2.64; 6.87 ± 1.54 vs. 8.38 ± 1.42). Five platforms significantly revealed the down-regulation of HOXA11 expression in BC (GPL96, GPL570, GPL6102, GPL6884, and GPL13497). A similar decreased trend was discovered in BC tissues in expression integration with the incorporated SMD reaching -0.843 (-1.362 ~ -0.325, p = 0.001) and -1.051 (-1.674 ~ -0.428, p = 0.001). Expression of HOXA11 was down-regulated in most of the BC cell lines. COL1A1 was considered as a final HOXA11 target gene and positively related to HOXA11 with the correlation coefficient as 0.584 (95% CI: 0.371-0.739, p < 0.001). HOXA11 regulates COL1A1 expression in BC via H3K27ac modification. The expression of COL1A1 was down-regulated with the SMD reached -0.312 (p < 0.001). In conclusion, HOXA11 expression is markedly decreased and might promote the transcription of COL1A1 to inhibit BC.

Small Nucleolar RNAs (snoRNAs)-Based Risk Score Classifier Predicts Overall Survival in Bladder Carcinoma.

BACKGROUND Bladder carcinoma (BLCA) is a leading cause of cancer-related deaths worldwide. The aim of this work was to develop an accurate stratification in predicting the prognosis and directing the treatment of BLCA patients based on small nucleolar RNAs (snoRNAs). MATERIAL AND METHODS Expression profiles of snoRNAs were downloaded from the SNORic database. The expression profiles and clinical outcomes of BLCA patients were analyzed. Survival-associated snoRNAs were identified and used to develop a novel risk score classifier. Genes in the whole genome that were significantly correlated with the included prognostic snoRNAs were used for functional enrichment analysis. RESULTS The results showed that age, American Joint Committee on Cancer (AJCC) stage, and tumor status were significantly correlated with overall survival (OS) of BLCA patients. We selected 12 survival-associated snoRNAs to build a prognostic signature. Patients were separated into high- and low-risk groups based on the median value of the risk score. Patients in the high-risk group and low-risk group have distinct clinical outcomes. The AJCC TNM stage showed moderate utility as a prognostic indicator for clinical outcome prediction. Then, clinical parameters and risk scores were entered in multivariate Cox analysis. Notably, the prognostic signature remained an independent significant prognostic risk factor. The pathway analysis suggested that these genes were enriched in several types of cancer and "Focal adhesion" pathways. CONCLUSIONS The prognostic signature defined by expression profiles of 12 survival-associated snoRNAs appears to be an excellent predictor of the clinical outcome of BLCA patients.

Downregulation of miRNA-126-3p is associated with progression of and poor prognosis for lung squamous cell carcinoma.

Lung squamous cell carcinoma (LUSC) is the main pathological type of pulmonary malignant tumors; at present, less than 10% of patients with advanced metastatic LUSC live for more than 5 years. We previously reported that low expression of miRNA-126-3p is associated with the occurrence and progression of lung adenocarcinoma (LUAD). Here, we examined expression of miRNA-126-3p in 23 samples from patients with LUSCs and 23 normal control specimens by quantitative real-time PCR (RT-qPCR). Associations between miRNA-126-3p expression and clinical features were studied from materials derived from Gene Expression Omnibus (GEO) chips and The Cancer Genome Atlas (TCGA) database. Twelve online platforms were used to identify candidate target genes of miRNA-126-3p. Further analyses of the Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and protein-protein interaction (PPI) network were performed on the target genes. GEO microarray analysis, TCGA data mining, RT-qPCR, and integration analysis consistently reported low expression of miRNA-126-3p in LUSC. A total of 42 genes were identified as potential target genes of miRNA-126-3p from online platforms, GEO microarrays, and the TCGA database. GO and KEGG analyses demonstrated that the target genes are involved in several biological processes that promote the progression of LUSC. SOX2, E2F2, and E2F3 were selected as hub genes from the PPI network for further analysis. In summary, our results suggest that the low expression of miRNA-126-3p may play a role in promoting the development of LUSC and miRNA-126-3p may be a biomarker for LUSC early diagnosis and prognosis.

Development and validation of an immune prognostic classifier for clear cell renal cell carcinoma.

BACKGROUND: Tumor-infiltrating immune cells are indispensable to the progression and prognosis of clear cell renal cell carcinoma (ccRCC). OBJECTIVE: The aim of this study was to explore the clinical implications of immune cell infiltrates in ccRCC. METHODS: The Cancer Genome Atlas (TCGA) database (N= 515) and E-MTAB-1980 cohort of patients (N= 101) were adopted to estimate the prognostic value of immune cell infiltration. Twenty-four types of immune cells were evaluated using single-sample gene set enrichment analysis. Cox regression analyses were conducted to develop an immune risk score. RESULTS: Survival analyses revealed that 13 genes significantly associated with the overall survival (OS). Furthermore, multivariate Cox analysis identified an immune risk score on the basis of mast cells, natural killer CD56bright cells, T helper 17 (Th17) cells, and Th2 cells. The immune risk score was associated with OS, with hazard ratios of 2.72 (95% CI 2.17-3.40) and 3.24 (95% CI 1.64-6.44) in TCGA and E-MTAB-1980 datasets, respectively. This immune risk score was significantly correlated with some immunotherapy-related biomarkers. CONCLUSIONS: We profiled a prognostic signature and established an immune risk score model for ccRCC, which could provide novel predictive markers for patients with ccRCC and an indicator for immunotherapy response measurement.

EBV as a potential risk factor for hepatobiliary system cancer: A meta-analysis with 918 cases.

OBJECTIVES: Hepatobiliary system cancer, which includes hepatocellular carcinoma (HCC), cholangiocarcinoma, and gallbladder carcinoma, has an increase of incidence and mortality due to various risk factors. Epstein-Barr virus (EBV) is associated with various types of lymphomas and carcinomas, which is also acknowledged as the first-discovered human tumor virus. Despite this, there is no systematic analysis about the relationship between the infection of EBV and hepatobiliary system cancer. The aim of this meta-analysis is to explore the significance of EBV infection in the development of hepatobiliary system cancer by evaluating the EBV infection ratio. METHODS: A systematic search of PubMed, Embase, Cochrane Library, as well as China National Knowledge Infrastructure (CNKI), Chongqing VIP, Wan Fang, and China Biology Medicine databases was conducted. The EBV infection ratio and 95% confidence intervals (CIs) in hepatobiliary system cancer was evaluated. The I2 statistic was used to represent heterogeneity. Through meta-regression, stratified analyses were applied to find out heterogeneity's sources. Odds ratios (ORs), 95% CIs of EBV infection in case-control studies were calculated. RESULTS: Altogether, 15 studies were included containing a total of 918 cases and 157 controls. The whole infection ratio of EBV was 23% (95% CI: 13%, 33%, I2 = 95.7%, P < 0.001) among all the patients. Comparable EVB infection ratios were observed in hepatobiliary system cancer as divided into different subtypes. The five case-control studies were epitomized to a pooled OR of 9.35 (95%CI: 2.95, 29.61, I2 = 20.1%, P < 0.286). CONCLUSION: EBV may be a potentially risk factor in the process of hepatobiliary system cancer. The prospective molecular mechanism remains to be explored.

Expression levels and co­targets of miRNA­126­3p and miRNA­126­5p in lung adenocarcinoma tissues: Αn exploration with RT­qPCR, microarray and bioinformatic analyses.

Lung adenocarcinoma (LUAD) is the most common histological subtype of lung cancer. Previous studies have found that many microRNAs (miRNAs), including miRNA­126­3p, may play a critical role in the development of LUAD. However, no study of LUAD has researched the synergistic effects and co­targets of both miRNA­126­3p and miRNA­126­5p. The present study used real­time quantitative polymerase chain reaction (RT­qPCR) to explore the expression values of miRNA­126­3p and miRNA­126­5p in 101 LUAD and 101 normal lung tissues. Ten relevant microarray datasets were screened to further validate the expression levels of miRNA­126­3p and ­5p in LUAD. Twelve prediction tools were employed to obtain potential targets of miRNA­126­3p and miRNA­126­5p. The results showed that both miRNA­126­3p and ­5p were expressed significantly lower in LUAD. A significant positive correlation was also present between miRNA­126­3p and ­5p expression in LUAD. In addition, lower expression of miRNA­126­3p and ­5p was indicative of vascular invasion, lymph node metastasis (LNM), and a later tumor/node/metastasis (TNM) stage of LUAD. The authors obtained 167 targets of miRNA­126­3p and 212 targets of miRNA­126­5p; 44 targets were co­targets of both. Eight co­target genes (IGF2BP1, TRPM8, DUSP4, SOX11, PLOD2, LIN28A, LIN28B and SLC7A11) were initially identified as key genes in LUAD. The results of the present study indicated that the co­regulation of miRNA­126­3p and miRNA­126­5p plays a key role in the development of LUAD, which also suggests a fail­proof mode between miRNA­3p and miRNA­126­5p.

Evaluation of the HOXA11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis.

BACKGROUND: This study was carried out to discover the underlying role that HOXA11 plays in lung squamous cancer (LUSC) and uncover the potential corresponding molecular mechanisms and functions of HOXA11-related genes. METHODS: Twenty-three clinical paired LUSC and non-LUSC samples were utilized to examine the level of HOXA11 using quantitative real-time polymerase chain reaction (qRT-PCR). The clinical significance of HOXA11 was systematically analyzed based on 475 LUSC and 18 non-cancerous adjacent tissues from The Cancer Genome Atlas (TCGA) database. A total of 102 LUSC tissues and 121 non-cancerous tissues were available from Oncomine to explore the expressing profiles of HOXA11 in LUSC. A meta-analysis was carried out to further assess the differential expression of HOXA11 in LUSC, including in-house qRT-PCR data, expressing data extracted from TCGA and Oncomine databases. Moreover, the enrichment analysis and potential pathway annotations of HOXA11 in LUSC were accomplished via Gene Oncology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). The expression of hub genes and according correlations with HOXA11 were assessed to further explore the biological role of HOXA11 in LUSC. RESULTS: HOXA11 expression in LUSC had a tendency to be upregulated in comparison to adjacent non-cancerous tissues by qRT-PCR. TCGA data displayed that HOXA11 was remarkably over-expressed in LUSC compared with that in non-LUSC samples, and the area under curves (AUC) was 0.955 (P < 0.001). A total of 1523 co-expressed genes were sifted for further analysis. The most significant term enriched in the KEGG pathway was focal adhesion. Among the six hub genes of HOXA11, including PARVA, ILK, COL4A1, COL4A2, ITGB1, and ITGA5, five (with the exception of COL4A1) were significantly decreased compared with the normal lung tissues. Moreover, the expression of ILK was negatively related to HOXA11 (r = - 0.141, P = 0.002). CONCLUSION: High HOXA11 expression may lead to carcinogenesis and the development of LUSC. Furthermore, co-expressed genes might affect the prognosis of LUSC.

Upregulation of HOXA13 as a potential tumorigenesis and progression promoter of LUSC based on qRT-PCR and bioinformatics.

In this study, we investigated the levels of homeobox A13 (HOXA13) and the mechanisms underlying the co-expressed genes of HOXA13 in lung squamous cancer (LUSC), the signaling pathways in which the co-expressed genes of HOXA13 are involved and their functional roles in LUSC. The clinical significance of 23 paired LUSC tissues and adjacent non-tumor tissues were gathered. HOXA13 levels in LUSC were detected by quantitative real-time polymerase chain reaction (qRT-PCR). HOXA13 levels in LUSC from The Cancer Genome Atlas (TCGA) and Oncomine were analyzed. We performed receiver operator characteristic (ROC) curves of various clinicopathological features of LUSC. Co-expressed of HOXA13 were collected from MEM, cBioPortal and GEPIA. The functions and pathways of the most reliable overlapped genes were achieved from the Gene Otology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, respectively. The protein-protein interaction (PPI) networks were mapped using STRING. HOXA13 in LUSC were markedly upregulated compared with those in the non-cancerous controls as demonstrated by qRT-PCR (LUSC: 0.330±0.360; CONTROLS: 0.155±0.142; P=0.021). TCGA (LUSC: 6.388±2.097, CONTROLS: 1.157±0.719; P<0.001) and Hou's study from Oncomine (LUSC: 1.154±0.260; CONTROLS: 0.957±0.065; P=0.001) showed the same tendency. Meanwhile, the area under the curve (AUC) of TNM was calculated as 0.877 with P=0.002. Based on the HOXA13 expression data from TCGA, the ROC of the tissue types was calculated as AUC=0.971 (P<0.001). In addition, 506 genes were filtered as co-expression genes of HOXA13. The 3 most significant KEGG pathways were metabolic pathways (P=5.41E-15), the calcium signaling pathway (P=3.01E-11), and the cAMP signaling pathway (P=5.63E-11). MAPK1, GNG7, GNG12, PRKCA were selected as the hub genes. In conclusion, HOXA13 was upregulated and related to the TNM stage in LUSC. The expression of hub genes in LUSC might be deregulated by HOXA13. Moreover, the 4 co-expressed hub genes of HOXA13 might be crucial biomarkers for the diagnosis and prognosis of LUSC, as well as the development of novel therapeutic targets against LUSC.