The impact of perivesical lymph node metastasis on clinical outcomes of bladder cancer patients undergoing radical cystectomy

"Dominolike" Barriers Elimination with an Intratumoral Adenosine-Triphosphate-Supersensitive Nanogel to Enhance Cancer Chemoimmunotherapy

Pathophysiological barriers in "cold" tumors seriously limit the clinical outcomes of chemoimmunotherapy. These barriers distribute in a spatial order in tumors, including immunosuppressive microenvironment, overexpressed chemokine receptors, and dense tumor mesenchyme, which require a sequential elimination in therapeutics. Herein, we reported a "dominolike" barriers elimination strategy by an intratumoral ATP supersensitive nanogel (denoted as BBLZ-945@PAC-PTX) for enhanced chemoimmunotherapy. Once it has reached the tumor site, BBLZ-945@PAC-PTX nanogel undergoes supersensitive collapse triggered by adenosine triphosphate (ATP) in perivascular regions and releases BLZ-945 conjugated albumin (BBLZ-945) to deplete tumor-associated macrophages (TAMs). Deeper spatial penetration of shrunk nanogel (PAC-PTX) could not only block CXCR4 on the cell membrane to decrease immunosuppressive cell recruitment but also internalize into tumor cells for tumor-killing and T cell priming. The strategy of "dominolike" barriers elimination in tumors enables immune cell infiltration for a potentiated immune response and offers a high-responsive treatment opinion for chemoimmunotherapy.

Identification of Lymph Node Metastasis-Related Key Genes and Prognostic Risk Model in Bladder Cancer by Co-Expression Analysis

Background: Lymph node metastasis (LNM) is an important pathological characteristic of bladder cancer (BCa). However, the molecular mechanism underlying LNM was not thoroughly elaborated. Identification for LNM-related biomarkers may contribute to making suitable therapies. So, the current study was aimed to identify key genes and construct a prognostic signature. Methods: Based on the Cancer Genome Atlas (TCGA) database, gene expression and clinical information were obtained. Then, the weighted gene co-expression network analysis (WGCNA) was performed to identify the key modules and hub genes. A function analysis and a gene set enrichment analysis were applied to explore biological functions and pathways of interested genes. Furthermore, a prognostic model based on LNM-related genes was constructed by using the least absolute shrinkage and selection operator (LASSO) Cox regression analysis. Results: Finally, nine co-expression modules were constructed, and two modules (turquoise and green) were significantly associated with LNM. Three hub genes were identified as DACT3, TNS1, and MSRB3, which were annotated in actin binding, actin cytoskeleton, adaptive immune response, and cell adhesion molecular binding by the GSEA method. Further analysis demonstrated that three hub genes were associated with the overall survival of BCa patients. In addition, we built a prognostic signature based on the genes from LNM-related modules and evaluated the prognostic value of this signature. Conclusion: In general, this study revealed the key genes related to LNM and prognostic signature, which might provide new insights into therapeutic target of BCa.

Role of lymph node dissection in radical cystectomy

The number of lymph node dissections (LNDs) is an independent factor influencing the survival time of patients with bladder cancer (BCa) after radical resection (RC). The present study aimed to investigate the association between the number of LNDs and the survival of patients with BCa at different stages and who underwent RC in the United States of America and China. Records from 17,730 American patients with BCa and 158 Chinese patients with BCa were collected from the Surveillance, Epidemiology and End Results (SEER) and the Shanghai Tenth People's Hospital (China) databases, respectively. Kaplan-Meier curve and χ² test were used to determine the overall survival time (OS) of patients with BCa. Cox regression analysis was used to analyze the effects of LND number on OS. Overall, 13,421 (75.7%) patients were negative for lymph node metastasis (N0) and 4,309 (24.3%) were positive for lymph node metastasis (N+) among the 17,730 American patients with BCa. In the group of 158 Chinese patients, 125 (79.1%) were N0 and 33 (20.9%) were N+. In the American patients, the median number of dissected nodes was 11.0 [interquartile range (IQR)=3.0–21.0] for N0 patients and 14.0 (IQR=8.0–23.0) for N+ patients. The median number of LNDs was 5.0 (IQR=2.0–7.0) for Chinese N0 patients and 5.0 (IQR=1.5–10.5) for Chinese N+ patients. The number of LNDs may therefore be an independent factor associated with survival in patients who underwent RC. Furthermore, a higher number of LNDs was associated with longer OS in patients with BCa [American patients, ≥13 nodes vs. ≤5 nodes, hazard ratio (HR)=0.62, 95% confidence interval (CI)=0.59–0.65, P<0.001; Chinese patients, ≥5 nodes vs. ≤1 node, HR=0.27, 95% CI=0.12–0.62, P=0.002]. The number of LNDs in patients with BCa and N+ was higher compared with number of LNDs in patients with BCa and N0 who underwent RC. More extensive LND improved the OS in both the patients from USA and China. Increasing the number of LNDs may therefore be crucial when treating patients with BCa.

Gene Expression Profiles Identified Novel Urine Biomarkers for Diagnosis and Prognosis of High-Grade Bladder Urothelial Carcinoma

Bladder urothelial carcinoma (BC) has been identified as one of the most common malignant neoplasm worldwide. High-grade bladder urothelial carcinoma (HGBC) is aggressive with a high risk of recurrence, progression, metastasis, and poor prognosis. Therefore, HGBC clinical management is still a challenge. We performed the present study to seek new urine biomarkers for HGBC and investigate how they promote HGBC progression and thus affect the prognosis based on large-scale sequencing data. We identified the overlapped differentially expressed genes (DEGs) by combining GSE68020 and The Cancer Genome Atlas (TCGA) datasets. Subsequent receiver operating characteristic (ROC) curves, Kaplan-Meier (KM) curves, and Cox regression were conducted to test the diagnostic and prognostic role of the hub genes. Chi-square test and logistic regression were carried out to analyze the associations between clinicopathologic characteristics and the hub genes. Ultimately, we performed gene set enrichment analysis (GSEA), protein-protein interaction (PPI) networks, and Bayesian networks (BNs) to explore the underlying mechanisms by which ECM1, CRYAB, CGNL1, and GPX3 are involved in tumor progression. Immunohistochemistry based on The Human Protein Atlas and quantitative real-time polymerase chain reaction based on urine samples confirmed the downregulation and diagnostic values of the hub genes in HGBC. In conclusion, our study indicated that CRYAB, CGNL1, ECM1, and GPX3 are potential urine biomarkers of HGBC. These four novel urine biomarkers will have attractive applications to provide new diagnostic methods, prognostic predictors and treatment targets for HGBC, which could improve the prognosis of HGBC patients, if validated by further experiments and larger prospective clinical trials.