Transcriptional Profiling of Advanced Urothelial Cancer Predicts Prognosis and Response to Immunotherapy

Tracing the Evolution of Sex Hormones and Receptor-Mediated Immune Microenvironmental Differences in Prostate and Bladder Cancers: From Embryonic Development to Disease

The bladder and prostate originate from the urogenital sinus. However, bladder cancer (BC) is usually classified as an immune "hot" tumor, whereas prostate cancer (PCa) is deemed as an immune "cold" tumor according to the tumor microenvironment (TME) and clinical outcomes. To investigate the immune differences between BC and PCa, studies are compared focusing on immune regulation mediated by sex hormones and receptors to identify key genes and pathways responsible for the immune differences. From a developmental perspective, it is shown that PCa and BC activate genes and pathways similar to those in the developmental stage. During prostate development, the differential expression and function of the androgen receptor (AR) across cell types may contribute to its dual role in promoting and inhibiting immunity in different cells. Androgen deprivation therapy affects AR function in different cells within the TME, influencing immune cell infiltration and antitumor function. Additionally, estrogenα and estrogenβ exert contrasting effects in PCa and BC, which may hold the potential for modifying the "cold" and "hot" tumor phenotypes. Future research should target key genes and pathways involved in bladder development to clarify the immune regulatory similarities and differences between BC and PCa.

Mcl-1 downregulation enhances BCG treatment efficacy in bladder cancer by promoting macrophage polarization

BACKGROUND

Bacillus Calmette-Guérin (BCG) is the primary method of postoperative perfusion treatment for bladder cancer. The myeloid cell leukemia gene-1 (Mcl-1) is closely associated with the development of malignant tumors. Previous research by our group has demonstrated that downregulating Mcl-1 using shRNA can enhance the efficacy of BCG treatment in bladder cancer. This study aims to investigate the impact of Mcl-1 downregulation in combination with BCG treatment on bladder cancer, macrophage polarization, and the underlying mechanism of action, with the goal of reducing recurrence and metastasis in bladder cancer.

METHODS

The GSE190529 dataset was analyzed to identify differential genes for enrichment analysis. The WGCNA algorithm was then employed to pinpoint gene modules closely associated with the Mcl-1 gene. The overlapping genes between these modules and the differentially expressed genes were subjected to enrichment analysis in GO and KEGG pathways to unveil crucial signaling pathways. In vitro experiments involved the co-culture of Raw264.7 macrophages and MB49 to establish a tumor microenvironment model, while in vivo experiments utilized an MNU-induced rat bladder cancer model. Various methods including Enzyme-Linked Immunosorbent Assay (ELISA), Western blot, immunofluorescence, HE staining, etc. were utilized to assess macrophage polarization and the expression of proteins linked to the ASK1/MKK7/JNK/cJUN signaling pathway.

RESULTS

Bioinformatics analysis indicates that the therapeutic mechanism of Mcl-1 in BCG treatment for bladder cancer may be linked to the Mitogen-Activated Protein Kinase (MAPK) signaling pathway. Both in vivo and in vitro experiments have demonstrated that the combination of BCG treatment and Mcl-1shRNA intervention results in elevated expression of M1 markers (TNF-α, CD86, INOS) and reduced expression of M2 markers (IL-10, CD206, Arg-1). Moreover, there was a notable increase in protein levels of P-ASK1, P-MKK7, P-JNK, P-cJUN, and CX43, leading to a significant rise in the apoptosis rate of bladder cancer cells and diminished proliferation, migration, and invasion capabilities. The expression of these markers can be reversed by employing the JNK signaling pathway inhibitor SP600125.

CONCLUSION

Down-regulation of Mcl-1 promotes the polarization of macrophages towards the M1 type through activation of the ASK1/MKK7/JNK signaling pathway. This enhances intercellular communication and improves the efficacy of BCG in bladder cancer treatment.

Advances in the understanding and therapeutic manipulation of cancer immune responsiveness: a Society for Immunotherapy of Cancer (SITC) review

Cancer immunotherapy-including immune checkpoint inhibition (ICI) and adoptive cell therapy (ACT)-has become a standard, potentially curative treatment for a subset of advanced solid and liquid tumors. However, most patients with cancer do not benefit from the rapidly evolving improvements in the understanding of principal mechanisms determining cancer immune responsiveness (CIR); including patient-specific genetically determined and acquired factors, as well as intrinsic cancer cell biology. Though CIR is multifactorial, fundamental concepts are emerging that should be considered for the design of novel therapeutic strategies and related clinical studies. Recent advancements as well as novel approaches to address the limitations of current treatments are discussed here, with a specific focus on ICI and ACT.

Advances in research on the carcinogenic mechanisms and therapeutic potential of YAP1 in bladder cancer (Review)

Bladder cancer is the most common malignant tumor of the urinary system with high morbidity and no clear pathogenesis. The Hippo signaling pathway is an evolutionarily conserved pathway that regulates organ size and maintains tissue homeostasis. Yes‑associated protein 1 (YAP1) is a key effector of this pathway and regulates downstream target genes by binding to transcriptional co‑activators with PDZ binding sequences (TAZ). Several studies have demonstrated that YAP1 is overexpressed in bladder cancer and is involved in adverse outcomes such as bladder cancer occurrence, progression, resistance to cisplatin and the recurrence of tumours. The present review summarized the involvement of YAP1 in bladder cancer disease onset and progression, and the mechanism of YAP1 involvement in bladder cancer treatment. In addition, this study further explored the potential of YAP1 in the diagnosis and treatment of bladder cancer. This study aimed to explore the potential mechanism of YAP1 in the treatment of bladder cancer.

Hippo signaling modulation and its biological implications in urological malignancies

Although cancer diagnosis and treatment have rapidly advanced in recent decades, urological malignancies, which have high morbidity and mortality rates, are among the most difficult diseases to treat. The Hippo signaling is an evolutionarily conserved pathway in organ size control and tissue homeostasis maintenance. Its downstream effectors, Yes-associated protein (YAP) and transcriptional coactivator with PDZ-binding motif (TAZ), are key modulators of numerous physiological and pathological processes. Recent work clearly indicates that Hippo signaling is frequently altered in human urological malignancies. In this review, we discuss the disparate viewpoints on the upstream regulators of YAP/TAZ and their downstream targets and systematically summarize the biological implications. More importantly, we highlight the molecular mechanisms involved in Hippo-YAP signaling to improve our understanding of its role in every stage of prostate cancer, bladder cancer and kidney cancer progression. A better understanding of the biological outcomes of YAP/TAZ modulation will contribute to the establishment of future therapeutic approaches.

The role of DNA damage repair (DDR) system in response to immune checkpoint inhibitor (ICI) therapy

As our understanding of the mechanisms of cancer treatment has increased, a growing number of studies demonstrate pathways through which DNA damage repair (DDR) affects the immune system. At the same time, the varied response of patients to immune checkpoint blockade (ICB) therapy has prompted the discovery of various predictive biomarkers and the study of combination therapy. Here, our investigation explores the interactions involved in combination therapy, accompanied by a review that summarizes currently identified and promising predictors of response to immune checkpoint inhibitors (ICIs) that are useful for classifying oncology patients. In addition, this work, which discusses immunogenicity and several components of the tumor immune microenvironment, serves to illustrate the mechanism by which higher response rates and improved efficacy of DDR inhibitors (DDRi) in combination with ICIs are achieved.

YAP1 activation is associated with the progression and response to immunotherapy of non-muscle invasive bladder cancer

Background

Despite the availability of several treatments for non-muscle-invasive bladder cancer (NMIBC), many patients are still not responsive to treatments, and the disease progresses. A new prognostic classifier can differentiate between treatment response and progression, and it could be used as a very important tool in patient decision-making regarding treatment options. In this study, we focused on the activation of Yes-associated protein 1 (YAP1), which is known to play a pivotal role in tumour progression and serves as a factor contributing to the mechanism of resistance to various relevant therapeutic agents. We further evaluated its potential as a novel prognostic agent.

Methods

We identified YAP1-associated gene signatures based on UC3-siYAP1 cells (n=8) and NMIBC cohort (n=460). Cross-validation was performed using 5 independent bladder cancer patient cohorts (n=1006). We also experimentally validated the changes of gene expression levels representing each subgroup.

Findings

The 976-gene signature based on YAP1-activation redefined three subgroups and had the benefits of Bacillus Calmette-Guérin (BCG) treatment in patients with NMIBC (hazard ratio 3.32, 95% CI 1.29-8.56, p = 0.01). The integrated analysis revealed that YAP1 activation was associated with the characterization of patients with high-risk NMIBC and the response to immunotherapy.

Interpretation

This study suggests that YAP1 activation has an important prognostic effect on bladder cancer progression and might be useful in the selection of immunotherapy.

Funding

A funding list that contributed to this research can be found in the Acknowledgements section.

Prediction of the Immune Phenotypes of Bladder Cancer Patients for Precision Oncology

Bladder cancer (BC) is the most common urinary malignancy; however accurate diagnosis and prediction of recurrence after therapies remain elusive. This study aimed to develop a biosignature of immunotherapy-based responses using gene expression data. Publicly available BC datasets were collected, and machine learning (ML) approaches were applied to identify a novel biosignature to differentiate patient subgroups. Immune phenotyping of BC in the IMvigor210 dataset included three subtypes: inflamed, excluded, and desert immune. Immune phenotypes were analyzed with gene expressions using traditional but powerful classification methods such as random forests, Deep Neural Networks (DNN), Support Vector Machines (SVM) together with boosting and feature selection methods. Specifically, DNN yielded the highest area under the curve (AUC) with precision and recall (PR) curves and receiver operating characteristic (ROC) curves for each phenotype ([Formula: see text] and [Formula: see text], respectively) resulting in the identification of gene expression features useful for immune phenotype classification. Our results suggest significant potential to further develop and utilize machine learning algorithms for analysis of BC and its precaution. In conclusion, the findings from this study present a novel gene expression assay that can accurately discriminate BC patients from controls. Upon further validation in independent cohorts, this gene signature could be developed into a predictive test that can support clinical evaluation and patient care.

Subgroup Identification with Gene Expression Profiles of Adipose Tissue in Patients with Coronary Artery Disease

Among many diseases, coronary artery disease (CAD) is the primary cause of mortality and morbidity worldwide. With the aim of revealing the underlying genetic characteristics of the CAD subtypes, we recruited patients with CAD and categorized them into subgroups according to the transcriptome expression profiles of the adipose tissue.With the removal of the batch effect, consensus clustering was employed to determine the subgroup numbers. Subgroup-specific genes were determined to conduct analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Weighted gene co-expression network analysis (WGCNA) revealed the subgroup-specific WGCNA modules. Moreover, gene set enrichment analysis (GSEA) was conducted. Overrepresentation enrichment analysis (OEA) of subgroup-specific signatures was also conducted to reveal the significant gene module associated with the corresponding clinical characteristics.After the removal of the batch effect, 77 CAD objects were divided into three subgroups. It was observed that the patients in subgroup III tended to be fat. After analyzing the dominant pathways of each subgroup, we discovered that the protein digestion and absorption pathway was specifically upregulated in subgroup I, which might result from the lowest proportion of the epicardial adipose tissue (EAT) sample. Moreover, subgroup II patients had genetic characteristics of high expression of complement and coagulation cascades and TNF signaling pathway. Furthermore, Th17 cell differentiation was significantly upregulated in subgroup III, indicating that Th17 cell differentiation is related to the clinical characteristics of body mass index (BMI).In conclusion, the genetic classification of CAD subjects indicated that subjects from different subgroups may exhibit specific gene expression patterns, suggesting that more personalized treatment should be applied to patients in each subgroup.

From clinical trials to clinical use of checkpoint inhibitors for patients with metastatic urothelial cancer

Monoclonal antibodies targeting the checkpoint inhibitors (CPIs), programmed cell death protein-1 or programmed cell death ligand-1, are changing the landscape of urothelial carcinoma therapeutics. Overall, clinical studies in metastatic or advanced urothelial cancer showed that CPIs provided a slight improvement in survival and a relevant advantage in safety, compared with chemotherapy. After reviewing published and ongoing trials, the authors discuss expected answers to unmet needs, with a special attention to the research of biological markers for patients with urothelial cancer eligible for treatment with CPIs in this article.