Selected protein expression in a new prognostic model for patients with non-muscle-invasive bladder cancer

Identification of New Prognostic Markers and Therapeutic Targets for Non-Muscle Invasive Bladder Cancer: HER2 as a Potential Target Antigen

Bacillus Calmette–Guérin (BCG) is the gold standard adjuvant treatment for non-muscle-invasive bladder cancer (NMIBC). However, given the current global shortage of BCG, new treatments are needed. We evaluated tumor microenvironment markers as potential BCG alternatives for NMIBC treatment. Programmed death-ligand 1, human epidermal growth factor receptor-2 (HER2), programmed cell death-1 (PD1), CD8, and Ki67 levels were measured in treatment-naïve NMIBC and MIBC patients (pTa, pT1, and pT2 stages). Univariate and multivariate Cox proportional hazard models were used to determine the impact of these markers and other clinicopathological factors on survival, recurrence, and progression. EP263, IM142, PD1, and Ki67 levels were the highest in the T2 stage, followed by the T1 and Ta stages. HER2 and IM263 expressions were higher in the T1 and T2 stages than in the Ta stage. In NMIBC, the significant prognostic factors for recurrence-free survival were adjuvant therapy, tumor grade, and HER2 positivity, whereas those for progression-free survival included age, T-stage, and IM263. Age, T-stage, EP263, PD1, CD8, and Ki67 levels were significant factors associated with overall survival. IM263 and HER2 are potential biomarkers for progression and recurrence, respectively. Therefore, we propose HER2 as a potential target antigen for intravesical therapeutics as a BCG alternative.

The impact of different adjuvant intravesical therapy methods on tumor biology in patients with high-risk non-muscle-invasive bladder cancer

Introduction

Expression level of the cell proliferation marker Ki-67 correlates with the degree of differentiation of tumor cells and stage in primary patients with non-muscle-invasive bladder cancer (NMIBC), but the marker is currently not used in assessing the efficacy of adjuvant intravesical therapy and risk stratification in patients with recurrent bladder tumors.

Material and methods

A retroprospective study included 107 patients with high-risk NMIBC; the patients were divided into 2 groups. The first group included patients who received adjuvant therapy after transurethral resection of the bladder using the Bacillus Calmette-Guérin (BCG) vaccine (BCG therapy group; n = 54), the second group consisted of patients who received hyperthermic intravesical chemotherapy (HIVEC^® therapy group; n = 53) using the device for local hyperthermia Combat BRS HIVEC^®.

Results

Tumor recurrences were recorded in 21 (39%) patients receiving intravesical BCG therapy and in 9 (17%) patients after intravesical hyperthermic chemotherapy (p = 0.012). The expression level of Ki-67 in primary tumors did not differ; in recurrent tumors it was significantly different in both groups (32.05 ±13.80 vs 11.00 ± 6.86). The frequency of recurrence-free survival (RFS) in patients receiving chemohyperthermia was significantly higher than in patients after the BCG therapy (log-rank test result: p = 0.048).

Conclusions

Assessment of Ki-67 expression in recurrent tumors can be a criterion for the effectiveness of intravesical bladder-preserving treatment. The use of hyperthermic chemotherapy can reduce the number of radical cystectomies in a separate group of patients with NMIBC.

Investigation of the roles of IL-18 (-607 C/A) and IL-18 (-137 G/C) gene variations in bladder cancer development: case-control study

BACKGROUND

The purpose of our study is to investigate the roles of IL-18 gene variations in bladder cancer development in Thrace population of Turkey.

METHODS

This study was carried out with 103 bladder cancer patients and 81 healthy controls. Genotype distributions of IL-18 (-137 G/C) and IL-18 (-607 C/A) gene variations were determined using polymerase chain reaction (PCR) method.

RESULTS

The CC homozygous genotype for IL-18 (-607 C/A) gene variation was significantly higher in patients with bladder cancer compared to healthy controls (OR 0.345, 95% Cl 0.186-0.639, p = 0.001). Besides this, allele frequencies of IL-18 (-137 G/C) and IL-18 (-607 C/A) gene variations in patient with bladder cancer and healthy control groups were significantly different from the Hardy-Weinberg distribution (p < 0.05). For IL-18 (-137 G/C) and IL-18 (-607 C/A) gene variations, significant difference was determined between the bladder cancer patient and healthy control groups in terms of GC-CA (OR 0.381, 95% Cl 0.203-0.714, p = 0.002), GC-CC (OR 2.147, 95% Cl 1.013-4.550, p = 0.043), GG-AA (OR 0.431, 95% Cl 0.365-0.509, p = 0.049), and GG-CC (OR 2.476, 95% Cl 1.177-5.208, p = 0.015) haplotypes.

CONCLUSION

In our study, CC genotype of IL-18 (-607 C/A) gene variation was determined as genetic risk factor for bladder cancer development. In bladder cancer patient and healthy control groups, G and C allele frequencies of IL-18 (-137 G/C) gene variation, and C and A allele frequencies of IL-18 (-607 C/A) gene variation were determined significantly different from the Hardy-Weinberg distribution.

High expression of ERBB2 is an independent risk factor for reduced recurrence-free survival in patients with stage T1 non-muscle-invasive bladder cancer

INTRODUCTION

Molecular markers associated with breast cancer are assumed to be associated with outcome in non-muscle-invasive bladder cancer (NMIBC).

MATERIALS AND METHODS

We retrospectively investigated the association of the mRNA expression of estrogen receptor 1 (ESR1) and 2 (ESR2), progesterone receptor (PGR), MKI67, and HER2 (ERBB2) with recurrence-free (RFS), cancer-specific (CSS), and overall survival (OS) in 80 patients with stage T1 NMIBC.

RESULTS

High expression of ESR2 (P = 0.003), ERBB2 (P < 0.001), and MKI67 (P = 0.029) was associated with shorter RFS. Only high ERBB2 was an independent prognostic factor for reduced RFS (HR = 2.98; P = 0.009). When sub stratifying the cohort, high ESR2 was associated with reduced RFS (P < 0.001), CSS (P = 0.037) and OS (P = 0.006) in patients without instillation therapy. High ESR2 was associated with reduced CSS (P = 0.018) and OS (P = 0.029) in females and with shorter RFS in both sexes (males: P = 0.035; females: P = 0.010). Patients with high ERBB2 showed reduced CSS (P = 0.011) and OS (P = 0.042) in females and reduced CSS (P = 0.012) in those without instillation, while RFS was significantly reduced irrespective of sex or instillation.

CONCLUSION

High mRNA expression of ERBB2 is an independent predictor of reduced RFS in patients with stage T1 NMIBC. High ERBB2 and ESR2 are associated with reduced outcomes, especially in females and patients without instillation therapy.

Construction and Validation of a Protein Prognostic Model for Lung Squamous Cell Carcinoma

Lung squamous cell carcinoma (LUSCC), as the major type of lung cancer, has high morbidity and mortality rates. The prognostic markers for LUSCC are much fewer than lung adenocarcinoma. Besides, protein biomarkers have advantages of economy, accuracy and stability. The aim of this study was to construct a protein prognostic model for LUSCC. The protein expression data of LUSCC were downloaded from The Cancer Protein Atlas (TCPA) database. Clinical data of LUSCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. A total of 237 proteins were identified from 325 cases of LUSCC patients based on the TCPA and TCGA database. According to Kaplan-Meier survival analysis, univariate and multivariate Cox analysis, a prognostic prediction model was established which was consisted of 6 proteins (CHK1_pS345, CHK2, IRS1, PAXILLIN, BRCA2 and BRAF_pS445). After calculating the risk values of each patient according to the coefficient of each protein in the risk model, the LUSCC patients were divided into high risk group and low risk group. The survival analysis demonstrated that there was significant difference between these two groups (p= 4.877e-05). The area under the curve (AUC) value of the receiver operating characteristic (ROC) curve was 0.699, which suggesting that the prognostic risk model could effectively predict the survival of LUSCC patients. Univariate and multivariate analysis indicated that this prognostic model could be used as independent prognosis factors for LUSCC patients. Proteins co-expression analysis showed that there were 21 proteins co-expressed with the proteins in the risk model. In conclusion, our study constructed a protein prognostic model, which could effectively predict the prognosis of LUSCC patients.