| Literature DB >> 33376528 |
Yucai Wu1,2,3,4, Yiji Peng1,2,3,4, Bao Guan1,2,3,4, Anbang He1,2,3,4, Kunlin Yang1,2,3,4, Shiming He1,2,3,4, Yanqing Gong1,2,3,4, Xuesong Li1,2,3,4, Liqun Zhou1,2,3,4.
Abstract
Prolyl 4-hydroxylase, beta polypeptide (P4HB) protein is an endoplasmic reticulum (ER) molecular chaperone protein and has been reported to be overexpressed in multiple tumor types. However, the role of P4HB in bladder cancer (BLCA) has not yet been elucidated. The aim of the present study was to investigate the prognostic value of P4HB and the association between clinicopathological characteristics and P4HB in BLCA. P4HB expression levels were assessed through The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, and validated by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and western blot analysis in BLCA tissues and cells. A total of 69 pairs of tumor and normal samples were used to analyze the expression of P4HB via immunohistochemical staining. A co-expression network and functional enrichment analyses were conducted to investigate the biological function of P4HB in BLCA. The protein-protein interaction (PPI) network was constructed by Search Tool for the Retrieval of Interacting Genes. The results showed that P4HB was highly expressed in BLCA cells and tissues. The area under the curve value for P4HB expression to discriminate between tumor and normal tissues was up to 0.888 (95% CI: 0.801-0.975; P<0.001) and 0.881 (95% CI: 0.825-0.937; P<0.001) in TCGA database and our database, respectively. Furthermore, the expression level of P4HB was an independent risk factor for overall survival (OS) and recurrence-free survival (RFS) by univariate and multivariate analyses. Kaplan-Meier survival analysis demonstrated that high P4HB expression was associated with low OS and RFS. Pathway enrichment analysis suggested that P4HB was involved in protein processing in the endoplasmic reticulum (ER), including N-glycan modification and protein metabolic processes responding to ER stress. PPI analysis revealed that the potential targets of P4HB were mainly involved in posttranslational protein modification and response to ER stress. In conclusion, the expression level of P4HB aid in identifying patients with early-stage BLCA and predicting the prognosis of BLCA. Therefore, P4HB may be a novel diagnostic and prognostic biomarker for BLCA. Copyright: © Wu et al.Entities:
Keywords: ER stress; beta polypeptide; bladder cancer; diagnostic; prognostic marker; prolyl 4-hydroxylase
Year: 2020 PMID: 33376528 PMCID: PMC7751343 DOI: 10.3892/ol.2020.12356
Source DB: PubMed Journal: Oncol Lett ISSN: 1792-1074 Impact factor: 2.967
Figure 1.mRNA expression of P4HB in BLCA. (A) The mRNA expression of P4HB in TCGA clinical samples. P4HB expression among patients with BLCA with different pathological (B) T stages and (C) N stages. The mRNA expression of P4HB in the (D) GSE3167, (E) GSE42089 and (F) GSE31189datasets. P4HB, prolyl 4-hydroxylase, beta polypeptide; BLCA, bladder cancer; TCGA, The Cancer Genome Atlas.
Figure 2.P4HB is highly expressed in bladder cancer cell lines and tissues. (A) P4HB mRNA expression in BLCA cell lines compared with normal uroepithelial SV-HUC-1 cells. (B) P4HB mRNA expression in 16 paired BLCA tissues and adjacent normal mucosa. P4HB expression among patients with BLCA at different pathological (C) T stages and (D) N stages. (E) P4HB protein expression in BLCA cell lines. (F) P4HB protein expression in 5 paired BLCA tissues. (G) IHC of BLCA tissues and adjacent normal tissues. The left image represents the normal mucosa and the right image represents the BLCA tissue. (H) The histogram represents the average IHC score of P4HB. *P<0.05; **P<0.01; ***P<0.001; ****P<0.0001. P4HB, prolyl 4-hydroxylase, beta polypeptide; BLCA, bladder cancer; IHC, immunohistochemistry.
Figure 3.P4HB is an early detection biomarker for BLCA. ROC curve of P4HB expression to predict patients with BLCA in (A) TCGA database and (B) our database. Average immunohistochemistry scores of P4HB at different (C) pathological stages and (D) histological grades. P4HB, prolyl 4-hydroxylase, beta polypeptide; BLCA, bladder cancer; ROC, receiver operating characteristic; TCGA, The Cancer Genome Atlas database.
Univariate analysis and multivariate analysis of overall survival of bladder cancer in our database.
| Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|
| Characteristic | HR (95% CI) | P-value | HR (95% CI) | P-value |
| P4HB level, high vs. low | 2.523 (1.011–6.296) | 0.047[ | 3.303 (1.240–8.798) | 0.017[ |
| Sex, male vs. female | 0.855 (0.198–3.697) | 0.834 | ||
| Age at initial diagnosis, ≥70 vs. <70 years | 0.829 (0.247–2.785) | 0.762 | ||
| Pathological T, T3 + T4 vs. T1 + T2 | 2.438 (0.991–5.999) | 0.052 | ||
| Pathological N, N1-3 vs. N0 | 3.802 (1.084–13.338) | 0.037[ | 6.008 (1.552–23.254) | 0.009[ |
| Histological grade, high vs. low | 1.958 (0.884–4.333) | 0.098 | ||
P<0.05. HR, hazard ratio; CI, confidence interval.
Figure 4.High P4HB expression was associated with poor survival in patients with BLCA. Kaplan-Meier survival curves for the OS of patients with BLCA based on P4HB expression in (A) our database and (B) TCGA database. (C) Nomogram to predict the 5-year OS of patients with BLCA. (D) Calibration plot evaluating the predictive accuracy of the nomogram for 5-year survival rate. Kaplan-Meier survival curves for the RFS of patients with BLCA based on P4HB expression in (E) our database and (F) TCGA database. P4HB, prolyl 4-hydroxylase, beta polypeptide; BLCA, bladder cancer; OS, overall survival; TCGA, The Cancer Genome Atlas database; RFS, recurrence-free survival.
Univariate analysis and multivariate analysis of recurrence-free survival of bladder cancer in our database.
| Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|
| Characteristic | HR (95% CI) | P-value | HR (95% CI) | P-value |
| P4HB level, high vs. low | 2.265 (1.001–5.696) | 0.042[ | 2.936 (1.104–7.805) | 0.031[ |
| Sex, male vs. female | 0.932 (0.216–4.031) | 0.925 | ||
| Age at initial diagnosis, ≥70 vs. <70 years | 0.735 (0.218–2.479) | 0.620 | ||
| Pathological T, T3 + T4 vs. T1 + T2 | 2.187 (0.883–5.417) | 0.091 | ||
| Pathological N, N1-3 vs. N0 | 4.199 (1.181–14.922) | 0.027[ | 6.318 (1.629–24.504) | 0.008[ |
| Histological grade, high vs. low | 2.007 (0.907–4.438) | 0.085 | ||
P<0.05. HR, hazard ratio; CI: confidence interval.
Figure 5.Functional prediction of P4HB in BLCA by enrichment analysis. (A) GO term and (B) KEGG pathway enrichment analysis results for genes co-expressed with P4HB in BLCA. (C) GSEA was performed in TCGA database according to the expression level of P4HB. The median expression of P4HB was selected as the cut-off value. (D) The protein-protein interaction network of P4HB and its potential targets. P4HB, prolyl 4-hydroxylase, beta polypeptide; BLCA, bladder cancer; GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes; GSEA, Gene set enrichment analysis; TCGA, The Cancer Genome Atlas database.
Functional enrichments in the protein-protein interactions network of prolyl 4-hydroxylase, beta polypeptide.
| Term description | FDR | Matching proteins in the network (labels) |
|---|---|---|
| Post-translational protein modification | 1.52E-09 | ALB, APOB, CALU, DNAJC3, HSP90B1, NUCB1, P4HB, PDIA6, PRKCSH, RCN1 |
| Response to endoplasmic reticulum stress | 1.03E-08 | CALR, DNAJC3, ERO1L, HSP90B1, HSPA5, OS9, P4HB, PDIA6 |
FDR, false discovery rate.