Greater utility of molecular subtype rather than epithelial-to-mesenchymal transition (EMT) markers for prognosis in high-risk non-muscle-invasive (HGT1) bladder cancer

Plasma SCUBE2 as a novel biomarker associates with survival outcomes in patients with sepsis-associated acute kidney injury

BACKGROUND

The adverse effects of sepsis-associated acute kidney injury (SA-AKI) highlight the need for new biomarkers. Signal Peptide-Complement C1r/C1s, Uegf, Bmp1-Epidermal Growth Factor-like Domain-Containing Protein 2 (SCUBE2), important for angiogenesis and endothelial integrity, has been linked to increased mortality in models of lipopolysaccharide-induced lung injury. This research aimed to assess the utility of plasma SCUBE2 levels as a prognostic indicator for SA-AKI in intensive care unit (ICU) patients.

METHODS

Between September 2020 and December 2022, our study enrolled ICU patients diagnosed with stage 3 SA-AKI. We collected demographic information, illness severity indices, and laboratory data, including plasma SCUBE2 and sepsis-triggered cytokine levels. We employed receiver operating characteristic curves and DeLong tests to assess the predictive accuracy for survival, Kaplan-Meier curves to evaluate the relative risk of death, and multivariate logistic regression to identify independent mortality predictors.

RESULTS

Among the total of 200 participants, the survivors had significantly higher plasma SCUBE2 levels (115.9 ng/mL) compared to those who died (35.6 ng/mL). SCUBE2 levels showed a positive correlation with the anti-inflammatory cytokine IL-10 and a negative correlation with the APACHE II score, SOFA score, C-reactive protein, and monocyte chemoattractant protein-1. Multivariate analysis revealed that elevated SCUBE2 and IL-10 levels were independently protective against mortality, and associated with the most favorable 30-day survival outcomes.

CONCLUSIONS

In ICU patients with stage 3 SA-AKI, lower plasma levels of SCUBE2 were correlated with elevated pro-inflammatory factors, which impacted survival outcomes. This suggests that SCUBE2 could be a potential biomarker for predicting prognosis in patients with SA-AKI.

FAM111B Acts as an Oncogene in Bladder Cancer

Bladder cancer (BLCA) is a prevalent malignancy of the urinary system, associated with a high recurrence rate and poor prognosis. FAM111B, which encodes a protein containing a trypsin-like cysteine/serine peptidase domain, has been implicated in the progression of various human cancers; however, its involvement in BLCA remains unclear. In this study, we investigated the expression of FAM111B gene in tumor tissues compared to para-tumor tissues using immunohistochemistry and observed a significantly higher FAM111B gene expression in tumor tissues. Furthermore, analysis of clinical characteristics indicated that the increased FAM111B gene expression correlated with lymphatic metastasis and reduced overall survival. To investigate its functional role, we employed FAM111B-knockdown BLCA cell models and performed cell proliferation, wound-healing, transwell, and flow cytometry assays. The results showed that decreased FAM111B gene expression inhibited proliferation and migration but induced apoptosis in BLCA cells. In vivo experiments further validated that FAM111B knockdown suppressed tumor growth. Overall, our findings suggest that FAM111B acts as an oncogene in BLCA, playing a critical role in tumorigenesis, progression, and metastasis of BLCA. In conclusion, we have demonstrated a strong correlation between the expression of FAM111B gene and the development, progression, and metastasis of bladder cancer (BLCA). Thus, FAM111B is an oncogene associated with BLCA and holds promise as a molecular target for future treatment of this cancer.

The biology of SCUBE

The SCUBE [Signal peptide-Complement C1r/C1s, Uegf, Bmp1 (CUB)-Epithelial growth factor domain-containing protein] family consists of three proteins in vertebrates, SCUBE1, 2 and 3, which are highly conserved in zebrafish, mice and humans. Each SCUBE gene encodes a polypeptide of approximately 1000 amino acids that is organized into five modular domains: (1) an N-terminal signal peptide sequence, (2) nine tandem epidermal growth factor (EGF)-like repeats, (3) a large spacer region, (4) three cysteine-rich (CR) motifs, and (5) a CUB domain at the C-terminus. Murine Scube genes are expressed individually or in combination during the development of various tissues, including those in the central nervous system and the axial skeleton. The cDNAs of human SCUBE orthologs were originally cloned from vascular endothelial cells, but SCUBE expression has also been found in platelets, mammary ductal epithelium and osteoblasts. Both soluble and membrane-associated SCUBEs have been shown to play important roles in physiology and pathology. For instance, upregulation of SCUBEs has been reported in acute myeloid leukemia, breast cancer and lung cancer. In addition, soluble SCUBE1 is released from activated platelets and can be used as a clinical biomarker for acute coronary syndrome and ischemic stroke. Soluble SCUBE2 enhances distal signaling by facilitating the secretion of dual-lipidated hedgehog from nearby ligand-producing cells in a paracrine manner. Interestingly, the spacer regions and CR motifs can increase or enable SCUBE binding to cell surfaces via electrostatic or glycan-lectin interactions. As such, membrane-associated SCUBEs can function as coreceptors that enhance the signaling activity of various serine/threonine kinase or tyrosine kinase receptors. For example, membrane-associated SCUBE3 functions as a coreceptor that promotes signaling in bone morphogenesis. In humans, SCUBE3 mutations are linked to abnormalities in growth and differentiation of both bones and teeth. In addition to studies on human SCUBE function, experimental results from genetically modified mouse models have yielded important insights in the field of systems biology. In this review, we highlight novel molecular discoveries and critical directions for future research on SCUBE proteins in the context of cancer, skeletal disease and cardiovascular disease.

Are We Ready to Implement Molecular Subtyping of Bladder Cancer in Clinical Practice? Part 1: General Issues and Marker Expression

Bladder cancer (BC) is a heterogeneous disease with highly variable clinical and pathological features, and resulting in different outcomes. Such heterogeneity ensues from distinct pathogenetic mechanisms and may consistently affect treatment responses in single patients. Thus, over the last few years, several groups have developed molecular classification schemes for BC, mainly based on their mRNA expression profiles. A “consensus” classification has recently been proposed to combine the published systems, agreeing on a six-cluster scheme with distinct prognostic and predictive features. In order to implement molecular subtyping as a risk-stratification tool in routine practice, immunohistochemistry (IHC) has been explored as a readily accessible, relatively inexpensive, standardized surrogate method, achieving promising results in different clinical settings. The first part of this review deals with the steps resulting in the development of a molecular subtyping of BC, its prognostic and predictive implications, and the main features of immunohistochemical markers used as surrogates to stratify BC into pre-defined molecular clusters.

A Robust Immuno-Prognostic Model of Non-Muscle-Invasive Bladder Cancer Indicates Dynamic Interaction in Tumor Immune Microenvironment Contributes to Cancer Progression

Non-muscle-invasive bladder cancer (NMIBC) accounts for more than 70% of urothelial cancer. More than half of NMIBC patients experience recurrence, progression, or metastasis, which essentially reduces life quality and survival time. Identifying the high-risk patients prone to progression remains the primary concern of risk management of NMIBC. In this study, we included 1370 NMIBC transcripts data from nine public datasets, identified nine tumor-infiltrating marker cells highly related to the survival of NMIBC, quantified the cells’ proportion by self-defined differentially expressed signature genes, and established a robust immuno-prognostic model dividing NMIBC patients into low-risk versus high-risk progression groups. Our model implies that the loss of crosstalk between tumor cells and adjacent normal epithelium, along with enriched cell proliferation signals, may facilitate tumor progression. Thus, evaluating tumor progression should consider various components in the tumor immune microenvironment instead of the single marker in a single dimension. Moreover, we also appeal to the necessity of using appropriate meta-analysis methods to integrate the evidence from multiple sources in the feature selection step from large-scale heterogeneous omics data such as our study.

Identifying a hypoxia related score to predict the prognosis of bladder cancer: a study with The Cancer Genome Atlas (TCGA) database

Background

Recurrence is common in bladder cancer, with a hypoxic tumor microenvironment (TME) playing a role in genetic instability and prognosis of bladder cancer. However, we still lack practical hypoxia related model for predicting the prognosis of bladder cancer. In this study, we identified new prognosis-related hypoxia genes and established a new hypoxia score related signature.

Methods

The Gene Set Variation Analysis (GSVA) algorithm was utilized to calculate the hypoxia score of bladder cancer cases found on the The Cancer Genome Atlas (TCGA) database on the gene expression profiles. The cases were first divided into low- and high-hypoxia score groups and then differentially expressed genes (DEGs) expression analysis was conducted. Hypoxia-related genes were identified using weighted gene co-expression network analysis (WGCNA). We then conducted a protein-protein interaction (PPI) network and carried out functional enrichment analysis of the genes that overlapped between DEGs and hypoxia-related genes. LASSO Cox regression analysis was used to establish a hypoxia-related prognostic signature, which was validated using the GSE69795 dataset downloaded from GEO database.

Results

Results from Kaplan-Meier analysis showed that patients with a high hypoxia score had significantly poor overall survival compared to patients with low hypoxia score. We selected 270 DEGs between low- and high-hypoxia score groups, while WGCNA analysis identified 1,313 genes as hypoxia-related genes. A total of 170 genes overlapped between DEGs and hypoxia-related genes. LASSO algorithms identified 29 genes associated with bladder cancer prognosis, which were used to construct a novel 29-gene signature model. The prognostic risk model performed well, since the receiver operating characteristic (ROC) curve showed an accuracy of 0.802 (95% CI: 0.759–0.844), and Cox proportional hazards regression analysis proved the model an independent predictor with hazard ratio (HR) =1.789 (95% CI: 1.585–2.019) (P<0.001). The low-risk score patients had remarkably longer overall survival than patients with a higher score (survival rate 71.06% vs. 23.66%) in the The Cancer Genome Atlas (TCGA) cohort (P<0.0001) and in the dataset GSE69795 (P=0.0079).

Conclusions

We established a novel 29-gene hypoxia-related signature model to predict the prognosis of bladder cancer cases. This model and identified hypoxia-related genes may further been used as biomarkers, assisting the evaluation of prognosis of bladder cancer cases and decision making in clinical practice.

E-cadherin and N-cadherin Immunohistochemical Expression in Proliferating Urothelial Lesions: Potential Novel Cancer Predictive EMT Profiles

Cadherin switch (CS) outlined by downregulation of E-cadherin and upregulation of N-cadherin is an established epithelial-mesenchymal transition (EMT) hallmark, being a common signature in wound healing and carcinogenesis. It is intriguing to explore the EMT-associated CS pattern in precancerous phases as well as variably aggressive bladder cancer categories. In this study, we tested CS signified by a reduction in urothelial cells E-cadherin expression and/or aberrant N-cadherin expression in proliferative epithelial changes (PEC) associating inflammation, non-muscle-invasive bladder cancer (NMIBC), and muscle-invasive bladder cancer (MIBC). Immunohistochemical study of both E-cadherin and N-cadherin was performed for 60 cases: 15 PEC, 8 NMIBC, and 37 MIBC. CS patterns were analyzed: abnormal CS patterns were expressed as deviated, hybrid, co-negative, and full CS patterns. E-cadherin expression was significantly preserved in PEC (86.7%) followed by NMIBC (62.5%) and then MIBC (37.8%) (P=0.004), whereas N-cadherin showed obvious aberrant expression in MIBC (51.4%) as compared with PEC (33.3%) and NMIBC (25%). In the MIBC group, abnormal cadherin patterns were the highest (70.3%) and was associated with adverse prognostic indicators. In the context of NMIBC progression to MIBC, combined E and N-cadherin evaluation showed highest sensitivity (70.3%) and NPV (31.3%), whereas aberrant expression of N-cadherin presented highest specificity (75%) and positive predictive value (90.5%). For cancer prediction, combined E-cadherin and N-cadherin evaluation showed the highest sensitivity (64.4%); abnormal E-cadherin offered highest specificity (86.7%), positive predictive value (92.9%), and negative predictive value (40.6%). In posttherapy follow-up setting, a metastable EMT signature in the form of partial CS was noted and might reflect resistant dormant populations.

Noninvasive papillary urothelial carcinoma with pathological features in between low and high grades: A case report

RATIONALE

Urinary bladder urothelial carcinoma is the most common malignant tumor in the urinary system, and noninvasive papillary urothelial carcinoma (NIPUC) comprises most bladder malignancies. NIPUC grading is important for therapeutic and clinical protocol selection. Here, we report a case of NIPUC with pathological features in between low (LG-NIPUC) and high (HG-NIPUC) grades NIPUC.

PATIENT CONCERNS

A 72-year-old male, presenting with a 20-year history of hypertension and 5 months of hematuria.

DIAGNOSES

Computed tomography examination revealed a tumor in the urinary bladder neck. Microscopic investigation revealed that most tumor tissue samples had a branching papillary architecture, with well-developed fibrous-vascular cores. Tumor cells were slightly crowded, with somewhat altered cell polarity and cell adhesion. Immunohistochemistry showed positive Ki67 staining, mostly in the basal layer, while p53 staining was rarely positive. These samples were diagnosed as LG-NIPUC. However, a few tumor tissue samples presented mildly fused papillary architectures without cell polarity or adhesion. Most nuclei stained intensely and were pleomorphic. All epithelial tissue layers were ki67 positive, and the p53 positive rate was higher than that in the LG samples. Therefore, these were classified as HG-NIPUC.

INTERVENTIONS

The tumor was completely resected during lithotomy postural surgery.

OUTCOMES

The patient is alive with a good recovery during 3 months after the surgery.

LESSONS

We diagnosed this patient as having LG-NIPUC with local HG-NIPUC components. HG- and LG-HIPUC have different outcomes. This case is a new challenge for the pathological grading of NIPUC. An intermediate HIPUC grade might need to be added to the original NIPUC grading system.

A four-antibody immunohistochemical panel can distinguish clinico-pathological clusters of urothelial carcinoma and reveals high concordance between primary tumor and lymph node metastases

Urothelial carcinoma of the bladder (UC) has a poor prognosis, partly because of chemotherapy resistance. Molecular classifications have shown their interest and can help to offer personalized treatment. In this study, we evaluated the feasibility of an immunohistochemical study to divide advanced UC into clinico-pathological-molecular subgroups and evaluate phenotypic correspondence between primary UC and matched lymph node metastases (LMN). An eight-antibody immunohistochemical panel was performed on UC and matched LMN from patients treated with radical cystectomy. One hundred eighty-seven UCs (100 pN0 tumor and 87 pN+ tumor) were tested. Multiple correspondence analysis showed that UC expressing GATA3 also expressed FOXA1 (p = 0.010) and did not stain for CK5/6 (p = 0.031) nor CK14 (p = 0.003). UC expressing CK14 coexpressed CK5/6 (p < 0.0001), had high Ki67 (p = 0.010) and no GATA3 (p = 0.003) nor FOXA1 (p = 0.011) expression. Loss of expression of STAG2 was associated with high Ki67 (p = 0.001). Sixty-seven percent of [CK5/6 CK14]+ [GATA3 FOAXA1]- patients had high Ki67 expression vs 37% of [GATA3 FOXA1]+ [CK5/6 CK14]- patients (p = 0.024). The majority of [CK5/6 CK14]+ [GATA3 FOAXA1]- patients (92%) had advanced disease (pT3-pT4) whilst 86% of pT1-T2 cases were [GATA3 FOXA1]+ [CK5/6 CK14]- (p = 0.041). Differential antigen expression between 63 pN+ primary tumors and their corresponding LNM showed the following concordance percentages: p53 (76%), p63 (75%), CK5/6 (65%), CK14 (89%), GATA3 (75%), FOXA1 (68%), STAG2 (65%), and Ki-67 (71%). These results support the interest of immunohistochemistry for subtype profiling in metastatic UC, using CK5/6, CK14, GATA3, and FOXA1, highlighting also few phenotypical modifications when tumor spreads to lymph nodes.