ABSTRACT
[This corrects the article DOI: 10.1371/journal.pone.0253178.].
ABSTRACT
BACKGROUND: Urothelial bladder cancer is most frequently diagnosed at the non-muscle-invasive stage (NMIBC). However, recurrences and interventions for intermediate and high-risk NMIBC patients impact the quality of life. Biomarkers for patient stratification could help to avoid unnecessary interventions whilst indicating aggressive measures when required. METHODS: In this study, immuno-oncology focused, multiplexed proximity extension assays were utilised to analyse plasma (n = 90) and urine (n = 40) samples from 90 newly-diagnosed and treatment-naïve bladder cancer patients. Public single-cell RNA-sequencing and microarray data from patient tumour tissues and murine OH-BBN-induced urothelial carcinomas were also explored to further corroborate the proteomic findings. RESULTS: Plasma from muscle-invasive, urothelial bladder cancer patients displayed higher levels of MMP7 (p = 0.028) and CCL23 (p = 0.03) compared to NMIBC patients, whereas urine displayed higher levels of CD27 (p = 0.044) and CD40 (p = 0.04) in the NMIBC group by two-sided Wilcoxon rank-sum tests. Random forest survival and multivariable regression analyses identified increased MMP12 plasma levels as an independent marker (p < 0.001) associated with shorter overall survival (HR = 1.8, p < 0.001, 95% CI:1.3-2.5); this finding was validated in an independent patient OLINK cohort, but could not be established using a transcriptomic microarray dataset. Single-cell transcriptomics analyses indicated tumour-infiltrating macrophages as a putative source of MMP12. CONCLUSIONS: The measurable levels of tumour-localised, immune-cell-derived MMP12 in blood suggest MMP12 as an important biomarker that could complement histopathology-based risk stratification. As MMP12 stems from infiltrating immune cells rather than the tumor cells themselves, analyses performed on tissue biopsy material risk a biased selection of biomarkers produced by the tumour, while ignoring the surrounding microenvironment.
Subject(s)
Carcinoma, Transitional Cell , Urinary Bladder Neoplasms , Humans , Animals , Mice , Matrix Metalloproteinase 12/genetics , Proteomics , Quality of Life , Macrophages , Prognosis , Tumor MicroenvironmentABSTRACT
BACKGROUND: Cancer immunity is based on the interaction of a multitude of cells in the spatial context of the tumour tissue. Clinically relevant immune signatures are therefore anticipated to fundamentally improve the accuracy in predicting disease progression. METHODS: Through a multiplex in situ analysis we evaluated 15 immune cell classes in 1481 tumour samples. Single-cell and bulk RNAseq data sets were used for functional analysis and validation of prognostic and predictive associations. FINDINGS: By combining the prognostic information of anti-tumoural CD8+ lymphocytes and tumour supportive CD68+CD163+ macrophages in colorectal cancer we generated a signature of immune activation (SIA). The prognostic impact of SIA was independent of conventional parameters and comparable with the state-of-art immune score. The SIA was also associated with patient survival in oesophageal adenocarcinoma, bladder cancer, lung adenocarcinoma and melanoma, but not in endometrial, ovarian and squamous cell lung carcinoma. We identified CD68+CD163+ macrophages as the major producers of complement C1q, which could serve as a surrogate marker of this macrophage subset. Consequently, the RNA-based version of SIA (ratio of CD8A to C1QA) was predictive for survival in independent RNAseq data sets from these six cancer types. Finally, the CD8A/C1QA mRNA ratio was also predictive for the response to checkpoint inhibitor therapy. INTERPRETATION: Our findings extend current concepts to procure prognostic information from the tumour immune microenvironment and provide an immune activation signature with high clinical potential in common human cancer types. FUNDING: Swedish Cancer Society, Lions Cancer Foundation, Selanders Foundation, P.O. Zetterling Foundation, U-CAN supported by SRA CancerUU, Uppsala University and Region Uppsala.
Subject(s)
Adenocarcinoma , Lung Neoplasms , Humans , Prognosis , Tumor Microenvironment , Lymphocytes, Tumor-Infiltrating/metabolism , Adenocarcinoma/pathology , Lung Neoplasms/pathology , Immunotherapy , Biomarkers, Tumor/geneticsABSTRACT
The extracellular activity of Plasminogen activator inhibitor-1 (PAI-1) is well described, acting as an inhibitor of tissue plasminogen activator and urokinase-type plasminogen activator, impacting fibrinolysis. Recent studies have revealed a pro-tumorigenic role of PAI-1 in human cancers, via the regulation of angiogenesis and tumor cell survival. In this study, immunohistochemical staining of 939 human bladder cancer specimens showed that PAI-1 expression levels correlated with tumor grade, tumor stage and overall survival. The typical subcellular localization of PAI-1 is cytoplasmic, but in approximately a quarter of the cases, PAI-1 was observed to be localized to both the tumor cell cytoplasm and the nucleus. To investigate the potential function of nuclear PAI-1 in tumor biology we applied chromatin immunoprecipitation (ChIP)-sequencing, gene expression profiling, and rapid immunoprecipitation mass spectrometry to a pair of bladder cancer cell lines. ChIP-sequencing revealed that PAI-1 can bind DNA at distal intergenic regions, suggesting a role as a transcriptional coregulator. The downregulation of PAI-1 in bladder cancer cell lines caused the upregulation of numerous genes, and the integration of ChIP-sequence and RNA-sequence data identified 57 candidate genes subject to PAI-1 regulation. Taken together, the data suggest that nuclear PAI-1 can influence gene expression programs and support malignancy.
Subject(s)
Plasminogen Activator Inhibitor 1/metabolism , Urinary Bladder Neoplasms , Humans , Neovascularization, Pathologic , Plasminogen Activator Inhibitor 1/genetics , Plasminogen Activator Inhibitor 2 , Tissue Plasminogen Activator , Urinary Bladder Neoplasms/genetics , Urokinase-Type Plasminogen Activator/metabolismABSTRACT
Bladder cancer, one of the most prevalent malignancies worldwide, remains hard to classify due to a staggering molecular complexity. Despite a plethora of diagnostic tools and therapies, it is hard to outline the key steps leading up to the transition from high-risk non-muscle-invasive bladder cancer (NMIBC) to muscle-invasive bladder cancer (MIBC). Carcinogen-induced murine models can recapitulate urothelial carcinogenesis and natural anti-tumor immunity. Herein, we have developed and profiled a novel model of progressive NMIBC based on 10 weeks of OH-BBN exposure in hepatocyte growth factor/cyclin dependent kinase 4 (R24C) (Hgf-Cdk4R24C) mice. The profiling of the model was performed by histology grading, single cell transcriptomic and proteomic analysis, while the derivation of a tumorigenic cell line was validated and used to assess in vivo anti-tumor effects in response to immunotherapy. Established NMIBC was present in females at 10 weeks post OH-BBN exposure while neoplasia was not as advanced in male mice, however all mice progressed to MIBC. Single cell RNA sequencing analysis revealed an intratumoral heterogeneity also described in the human disease trajectory. Moreover, although immune activation biomarkers were elevated in urine during carcinogen exposure, anti-programmed cell death protein 1 (anti-PD1) monotherapy did not prevent tumor progression. Furthermore, anti-PD1 immunotherapy did not control the growth of subcutaneous tumors formed by the newly derived urothelial cancer cell line. However, treatment with CpG-oligodeoxynucleotides (ODN) significantly decreased tumor volume, but only in females. In conclusion, the molecular map of this novel preclinical model of bladder cancer provides an opportunity to further investigate pharmacological therapies ahead with regards to both targeted drugs and immunotherapies to improve the strategies of how we should tackle the heterogeneous tumor microenvironment in urothelial bladder cancer to improve responses rates in the clinic.
Subject(s)
Urinary Bladder Calculi/metabolism , Animals , Butylhydroxybutylnitrosamine/pharmacology , Carcinogens/pharmacology , Cell Line, Tumor , Disease Models, Animal , Female , Humans , Longitudinal Studies , Male , Mice , Mice, Inbred C57BL , Polymerase Chain Reaction , Proteinuria/urine , Proteomics/methods , Sequence Analysis, RNA , Single-Cell Analysis , Urinary Bladder/drug effects , Urinary Bladder/metabolism , Urinary Bladder/pathology , Urinary Bladder Calculi/chemically induced , Urinary Bladder Calculi/urine , Urothelium/drug effects , Urothelium/metabolism , Urothelium/pathologyABSTRACT
The molecular landscape in non-muscle-invasive bladder cancer (NMIBC) is characterized by large biological heterogeneity with variable clinical outcomes. Here, we perform an integrative multi-omics analysis of patients diagnosed with NMIBC (n = 834). Transcriptomic analysis identifies four classes (1, 2a, 2b and 3) reflecting tumor biology and disease aggressiveness. Both transcriptome-based subtyping and the level of chromosomal instability provide independent prognostic value beyond established prognostic clinicopathological parameters. High chromosomal instability, p53-pathway disruption and APOBEC-related mutations are significantly associated with transcriptomic class 2a and poor outcome. RNA-derived immune cell infiltration is associated with chromosomally unstable tumors and enriched in class 2b. Spatial proteomics analysis confirms the higher infiltration of class 2b tumors and demonstrates an association between higher immune cell infiltration and lower recurrence rates. Finally, the independent prognostic value of the transcriptomic classes is documented in 1228 validation samples using a single sample classification tool. The classifier provides a framework for biomarker discovery and for optimizing treatment and surveillance in next-generation clinical trials.
Subject(s)
Biomarkers, Tumor/genetics , Carcinoma, Transitional Cell/genetics , Neoplasm Recurrence, Local/epidemiology , Urinary Bladder Neoplasms/genetics , Aged , BCG Vaccine/administration & dosage , Carcinoma, Transitional Cell/immunology , Carcinoma, Transitional Cell/mortality , Carcinoma, Transitional Cell/therapy , Chromosomal Instability , Cystectomy/methods , Denmark/epidemiology , Female , Follow-Up Studies , Gene Expression Regulation, Neoplastic , Genomics , Humans , Kaplan-Meier Estimate , Male , Mutation , Neoplasm Recurrence, Local/genetics , Prognosis , Progression-Free Survival , RNA-Seq , Urinary Bladder/immunology , Urinary Bladder/pathology , Urinary Bladder/surgery , Urinary Bladder Neoplasms/immunology , Urinary Bladder Neoplasms/mortality , Urinary Bladder Neoplasms/therapyABSTRACT
Samples in biobanks are generally preserved by formalin-fixation and paraffin-embedding (FFPE) and/or optimal cutting temperature compound (OCT)-embedding and subsequently frozen. Mass spectrometry (MS)-based analysis of these samples is now available via developed protocols, however, the differences in results with respect to preservation methods needs further investigation. Here we use bladder urothelial carcinoma tissue of two different tumor stages (Ta/T1-non-muscle invasive bladder cancer (NMIBC), and T2/T3-muscle invasive bladder cancer (MIBC)) which, upon sampling, were divided and preserved by FFPE and OCT. Samples were parallel processed from the two methods and proteins were analyzed with label-free quantitative MS. Over 700 and 1200 proteins were quantified in FFPE and OCT samples, respectively. Multivariate analysis indicates that the preservation method is the main source of variation, but also tumors of different stages could be differentiated. Proteins involved in mitochondrial function were overrepresented in OCT data but missing in the FFPE data, indicating that these proteins are not well preserved by FFPE. Concordant results for proteins such as HMGCS2 (uniquely quantified in Ta/T1 tumors), and LGALS1, ANXA5 and plastin (upregulated in T2/T3 tumors) were observed in both FFPE and OCT data, which supports the use of MS technology for biobank samples and encourages the further evaluation of these proteins as biomarkers.
Subject(s)
Paraffin Embedding/methods , Specimen Handling/methods , Tissue Fixation/methods , Biomarkers, Tumor/genetics , Chromatography, Liquid/methods , Fixatives/chemistry , Formaldehyde/chemistry , Humans , Proteins/analysis , Proteomics/methods , Tandem Mass Spectrometry/methods , Tissue Preservation/methods , Urinary Bladder Neoplasms/diagnosis , Urinary Bladder Neoplasms/genetics , Urologic Neoplasms/diagnosis , Urologic Neoplasms/geneticsABSTRACT
BACKGROUND: The development of a reactive tumour stroma is a hallmark of tumour progression and pronounced tumour stroma is generally considered to be associated with clinical aggressiveness. The variability between tumour types regarding stroma fraction, and its prognosis associations, have not been systematically analysed. METHODS: Using an objective machine-learning method we quantified the tumour stroma in 16 solid cancer types from 2732 patients, representing retrospective tissue collections of surgically resected primary tumours. Image analysis performed tissue segmentation into stromal and epithelial compartment based on pan-cytokeratin staining and autofluorescence patterns. FINDINGS: The stroma fraction was highly variable within and across the tumour types, with kidney cancer showing the lowest and pancreato-biliary type periampullary cancer showing the highest stroma proportion (median 19% and 73% respectively). Adjusted Cox regression models revealed both positive (pancreato-biliary type periampullary cancer and oestrogen negative breast cancer, HR(95%CI)=0.56(0.34-0.92) and HR(95%CI)=0.41(0.17-0.98) respectively) and negative (intestinal type periampullary cancer, HR(95%CI)=3.59(1.49-8.62)) associations of the tumour stroma fraction with survival. INTERPRETATION: Our study provides an objective quantification of the tumour stroma fraction across major types of solid cancer. Findings strongly argue against the commonly promoted view of a general associations between high stroma abundance and poor prognosis. The results also suggest that full exploitation of the prognostic potential of tumour stroma requires analyses that go beyond determination of stroma abundance. FUNDING: The Swedish Cancer Society, The Lions Cancer Foundation Uppsala, The Swedish Government Grant for Clinical Research, The Mrs Berta Kamprad Foundation, Sweden, Sellanders foundation, P.O.Zetterling Foundation, and The Sjöberg Foundation, Sweden.
Subject(s)
Machine Learning , Neoplasms/pathology , Humans , Neoplasms/mortality , Prognosis , Proportional Hazards Models , Retrospective Studies , Stromal Cells/pathology , Survival AnalysisABSTRACT
Clinical utility of cisplatin based neoadjuvant chemotherapy (NAC) prior to radical cystectomy is limited because of lack of tools that can guide for a better patient selection. We aim to explore if a combination of biomarkers is superior to a single marker. Pretreatment tumor specimens and clinical data from two randomized trials including 250 patients with T2-T4 urothelial bladder cancer, were used. The information on the expressions on tumor tissue of four biomarkers; CCTα, emmprin, survivin, and BCL-2, detected by immunohistochemistry in our previous studies, was used. Cox proportional hazard models, including treatment-by-biomarker interaction terms, were used to assess the predictive value of the biomarkers for efficacy of NAC on overall survival. CCTα provided predictive information about the efficacy of NAC (interaction P=0.009). None of the other biomarkers provided statistically significant information additional to CCTα. The adjusted hazard ratio for NAC treated versus no-NAC was 0.42 (95% CI: 0.27-0.64) for patients with negative CCTα expression, when adding information about emmprin it decreased to 0.33 (95% CI: 0.19-0.56) for patients with both negative CCTα and emmprin. This corresponds to a decrease in number needed to treat from 4 to 3 patients. The combination of CCTα with survivin or BCL-2 yielded similar results. In a group of patients with muscle invasive bladder cancer a combination of two biomarkers might improve the possibility to identify patients most likely to benefit from the use of NAC. Further studies designed to have sufficient power to detect an interaction effect are needed.
Subject(s)
Biomarkers, Tumor/analysis , Cystectomy , Urinary Bladder Neoplasms/therapy , Aged , Chemotherapy, Adjuvant , Choline-Phosphate Cytidylyltransferase/analysis , Female , Humans , Male , Middle Aged , Neoadjuvant Therapy , Proto-Oncogene Proteins c-bcl-2/analysis , Survivin/analysisABSTRACT
Little attention was given to the interaction between tumor and stromal cells in urothelial bladder carcinoma (UBC). While recent studies point towards the existence of different fibroblast subsets, no comprehensive analyses linking different fibroblast markers to UBC patient survival have been performed so far. Through immunohistochemical analysis of five selected fibroblast markers, namely alpha smooth muscle actin (ASMA), CD90/Thy-1, fibroblast activation protein (FAP), platelet derived growth factor receptor-alpha and -beta (PDGFRa,-b), this study investigates their association with survival and histopathological characteristics in a cohort of 344 UBC patients, involving both, muscle-invasive and non-muscle-invasive cases. The data indicates that combinations of stromal markers are more suited to identify prognostic patient subgroups than single marker analysis. Refined stroma-marker-based patient stratification was achieved through cluster analysis and identified a FAP-dominant patient cluster as independent marker for shorter 5-year-survival (HR(95% CI)2.25(1.08-4.67), p = 0.030). Analyses of interactions between fibroblast and CD8a-status identified a potential minority of cases with CD90-defined stroma and high CD8a infiltration showing a good prognosis of more than 80% 5-year-survival. Presented analyses point towards the existence of different stroma-cell subgroups with distinct tumor-modulatory properties and motivate further studies aiming to better understand the molecular tumor-stroma crosstalk in UBC.
Subject(s)
Fibroblasts/metabolism , Urinary Bladder Neoplasms/pathology , Actins/metabolism , Aged , Biomarkers, Tumor/metabolism , CD8-Positive T-Lymphocytes/cytology , CD8-Positive T-Lymphocytes/immunology , CD8-Positive T-Lymphocytes/metabolism , Cluster Analysis , Endopeptidases , Female , Fibroblasts/cytology , Gelatinases/metabolism , Humans , Kaplan-Meier Estimate , Male , Membrane Proteins/metabolism , Phenotype , Prognosis , Proportional Hazards Models , Receptor, Platelet-Derived Growth Factor alpha/metabolism , Serine Endopeptidases/metabolism , Thy-1 Antigens/metabolism , Urinary Bladder Neoplasms/metabolism , Urinary Bladder Neoplasms/mortalityABSTRACT
Background: Response to neoadjuvant cisplatin treatment in bladder cancer has been linked to expression of Bcl-2 protein by cancer cells. The objective of this study was to test Bcl-2 as a predictive marker of neoadjuvant cisplatin chemotherapy response in a patient cohort from randomized cystectomy trials. Methods: Tumor samples were taken from 247 patients with T2-T4 bladder cancer enrolled in two randomized trials comparing cystectomy with or without neoadjuvant chemotherapy. Tissue microarrays from pre-intervention transurethral resection specimens were assessed for Bcl-2 protein status by immunohistochemistry. Extension of staining above 10% was regarded as positive. Downstaging and survival ratios in relation to Bcl-2 immunoreactivity and neoadjuvant chemotherapy utilization were calculated using the log rank test and multivariate Cox proportional hazards regression analyses. Results: Bcl-2 expression was positive in 38% and negative in 62% of the 236 evaluable patients. Bcl-2 negative patients receiving neoadjuvant chemotherapy had a significant increase in survival (p = 0.009), while Bcl-2 positive patients showed no difference (p = 0.4). However, the interaction variable between neoadjuvant chemotherapy and biomarker status was not significant (p = 0.38). When the prognostic value was assessed in the no-chemotherapy group, 5-year overall survival times were significantly better among Bcl-2 positive patients than among Bcl-2 negative patients (42 months vs 33 months, p = 0.04), but again Bcl-2 status did not remain independent when other factors were adjusted. Also, in a multivariate analysis with all patients, Bcl-2 was not significant. Conclusions: Bcl-2 status is not an independent predictor of neoadjuvant cisplatin chemotherapy response and is not prognostic in muscle-invasive bladder cancer.
Subject(s)
Biomarkers, Tumor/analysis , Carcinoma, Transitional Cell/chemistry , Carcinoma, Transitional Cell/drug therapy , Proto-Oncogene Proteins c-bcl-2/analysis , Urinary Bladder Neoplasms/chemistry , Urinary Bladder Neoplasms/drug therapy , Carcinoma, Transitional Cell/surgery , Chemotherapy, Adjuvant , Cystectomy/methods , Female , Humans , Male , Middle Aged , Neoadjuvant Therapy , Predictive Value of Tests , Prospective Studies , Treatment Outcome , Urinary Bladder Neoplasms/surgeryABSTRACT
Formalin-fixed and paraffin-embedded (FFPE) and optimal cutting temperature (OCT)-embedded and frozen tissue specimens in biobanks are highly valuable in clinical studies but proteomic and post-translational modification (PTM) studies using mass spectrometry (MS) have been limited due to structural arrangement of proteins and contaminations from embedding material. This study aims to develop a parallel proteomic workflow for FFPE and OCT/frozen samples that allows for large-scale, quick, reproducible, qualitative, and quantitative high-resolution MS analysis. The optimized protocol gives details on removal of embedding material, protein extraction, and multienzyme digestion using filter-aided sample preparation method. The method was evaluated by investigating the protein expression levels in nonmuscle-invasive and muscle-invasive bladder cancer samples in two cohorts and MS spectra were carefully reviewed for contaminations. More than 2000 and 3000 proteins in FFPE and OCT/frozen samples, respectively, were identified, and samples could be clustered in different tumor stages based on their protein expression. Furthermore, more than 250 and 400 phosphopeptides could be identified from specific patient samples of FFPE and OCT/frozen, respectively, using titanium dioxide enrichment. The paper presents unique data describing the similarities and differences observed in FFPE and OCT/frozen samples and shows the feasibility to detect proteins and site-specific phosphorylation even after long-term storage of clinical samples.
Subject(s)
Proteins/analysis , Proteomics , Humans , Mass Spectrometry , Temperature , Titanium/chemistryABSTRACT
OBJECTIVES: The aim of this study was to test choline-phosphate cytidylyltransferase-α (CCT-α) protein as a biomarker for neoadjuvant cisplatin chemotherapy response in a bladder tumor setting. MATERIALS AND METHODS: A total of 238 patients with T2-T4 bladder cancer enrolled into two prior randomized trials comparing neoadjuvant cisplatin-based chemotherapy (NAC) plus cystectomy with cystectomy only (no-NAC) were used as discovery and validation cohorts. Protein expression was determined with immunohistochemistry and assessed with Histo (H)-scoring. RESULTS: In the discovery cohort, comprising 61 patients, the survival ratio after NAC treatment for CCT-α-negative patients was significantly increased (p = 0.001) while there was no survival advantage in the CCT-α-positive patient group. Similarly, in the validation cohort with 177 patients, NAC treatment improved survival only in the CCT-α-negative group (p = 0.006). Although there was a tendency for a good NAC response with negative CCT-α status, the interaction variable between biomarker and treatment was not significant (p = 0.24). In the cystectomy-only group, patients with positive CCT-α expression had a better survival than CCT-α-negative patients. This prognostic effect of CCT-α expression remained significant after adjusting for well-known prognostic factors in a multivariate analysis. In a pooled database of both patient data sets, multivariate analyses showed CCT-α status as an independent factor for overall survival (p = 0.018; hazard ratio = 1.80, 95% confidence interval 1.11-2.93). CONCLUSION: CCT-α status was not predictive of outcome of NAC response; however, in the control group with cystectomy only it was found to have prognostic value.
Subject(s)
Antineoplastic Agents/therapeutic use , Carcinoma, Transitional Cell/metabolism , Carcinoma, Transitional Cell/therapy , Choline-Phosphate Cytidylyltransferase/metabolism , Cisplatin/therapeutic use , Urinary Bladder Neoplasms/metabolism , Urinary Bladder Neoplasms/therapy , Aged , Chemotherapy, Adjuvant , Cystectomy , Female , Humans , Male , Middle Aged , Neoadjuvant Therapy , Survival RateABSTRACT
Purpose: The European Association of Urology (EAU) guidelines for non-muscle-invasive bladder cancer (NMIBC) recommend risk stratification based on clinicopathologic parameters. Our aim was to investigate the added value of biomarkers to improve risk stratification of NMIBC.Experimental Design: We prospectively included 1,239 patients in follow-up for NMIBC in six European countries. Fresh-frozen tumor samples were analyzed for GATA2, TBX2, TBX3, and ZIC4 methylation and FGFR3, TERT, PIK3CA, and RAS mutation status. Cox regression analyses identified markers that were significantly associated with progression to muscle-invasive disease. The progression incidence rate (PIR = rate of progression per 100 patient-years) was calculated for subgroups.Results: In our cohort, 276 patients had a low, 273 an intermediate, and 555 a high risk of tumor progression based on the EAU NMIBC guideline. Fifty-seven patients (4.6%) progressed to muscle-invasive disease. The limited number of progressors in this large cohort compared with older studies is likely due to improved treatment in the past two decades. Overall, wild-type FGFR3 and methylation of GATA2 and TBX3 were significantly associated with progression (HR = 0.34, 2.53, and 2.64, respectively). The PIR for EAU high-risk patients was 4.25. On the basis of FGFR3 mutation status and methylation of GATA2, this cohort could be reclassified into a good class (PIR = 0.86, 26.2% of patients), a moderate class (PIR = 4.32, 49.7%), and a poor class (PIR = 7.66, 24.0%).Conclusions: We conclude that the addition of selected biomarkers to the EAU risk stratification increases its accuracy and identifies a subset of NMIBC patients with a very high risk of progression. Clin Cancer Res; 24(7); 1586-93. ©2018 AACR.
Subject(s)
Biomarkers, Tumor/metabolism , Neoplasm Invasiveness/pathology , Urinary Bladder Neoplasms/metabolism , Urinary Bladder Neoplasms/pathology , Adult , Aged , Aged, 80 and over , Biomarkers, Tumor/genetics , Disease Progression , Europe , Female , GATA2 Transcription Factor/genetics , GATA2 Transcription Factor/metabolism , Humans , Male , Middle Aged , Mutation/genetics , Neoplasm Invasiveness/genetics , Prospective Studies , Receptor, Fibroblast Growth Factor, Type 3/genetics , Receptor, Fibroblast Growth Factor, Type 3/metabolism , Risk Factors , Urinary Bladder Neoplasms/genetics , Urology/methods , Young AdultABSTRACT
BACKGROUND: We previously reported an accurate urine-based bladder cancer (BCa)-associated diagnostic signature that can be used to non-invasively detect BCa. In this study, we investigated whether a component of this signature could risk stratify patients with BCa. METHODS: Utilizing immunohistochemistry, we investigated angiogenin, MMP-2, p53, RB and PAI-1 expression from 939 patients with BCa. The expression levels were scored by assigning a proportion score and an intensity score to yield a total staining score for each protein. The expressions of each protein individually and as an aggregate were then correlated with progression-free survival (PFS), cancer-specific survival (CSS) and overall survival (OS). RESULTS: Differential expressions of these markers were noted in BCa. With multivariate analysis in non-muscle invasive bladder cancer (NMIBC) age, tumor grade portended a worse PFS, while age, tumor grade, nodal status, MMP2, RB and PAI-1 expression portended a worse OS. As for multivariate analysis in muscle invasive bladder cancer (MIBC), age MMP-2 and RB were associated with a worse PFS, while age, nodal status, MMP-2, RB and PAI-1 were associated with a worse OS. Using Kaplan-Meier survival analysis, we noted a significant reduction in OS as more of the five biomarkers were expressed in a tumor. Thus, overall, high expressions of MMP-2, RB and/or PAI-1 in bladder tumors were markers of poor prognosis. CONCLUSION: Individually, MMP-2, RB and PAI-1, as well as in aggregate correlated with poor survival in patients with BCa. Thus, patients whose bladder tumors express these biomarkers may benefit from early radical treatment and/or neoadjuvant or adjuvant therapies.
ABSTRACT
BACKGROUND: Progression of non-muscle-invasive bladder cancer (NMIBC) to muscle-invasive bladder cancer (MIBC) is life-threatening and cannot be accurately predicted using clinical and pathological risk factors. Biomarkers for stratifying patients to treatment and surveillance are greatly needed. OBJECTIVE: To validate a previously developed 12-gene progression score to predict progression to MIBC in a large, multicentre, prospective study. DESIGN, SETTING, AND PARTICIPANTS: We enrolled 1224 patients in ten European centres between 2008 and 2012. A total of 750 patients (851 tumours) fulfilled the inclusion and sample quality criteria for testing. Patients were followed for an average of 28 mo (range 0-76). A 12-gene real-time qualitative polymerase chain reaction assay was performed for all tumours and progression scores were calculated using a predefined formula and cut-off values. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We measured progression to MIBC using Cox regression analysis and log-rank tests for comparing survival distributions. RESULTS AND LIMITATIONS: The progression score was significantly (p<0.001) associated with age, stage, grade, carcinoma in situ, bacillus Calmette-Guérin treatment, European Organisation for Research and Treatment of Cancer risk score, and disease progression. Univariate Cox regression analysis showed that patients molecularly classified as high risk experienced more frequent disease progression (hazard ratio 5.08, 95% confidence interval 2.2-11.6; p<0.001). Multivariable Cox regression models showed that the progression score added independent prognostic information beyond clinical and histopathological risk factors (p<0.001), with an increase in concordance statistic from 0.82 to 0.86. The progression score showed high correlation (R2=0.85) between paired fresh-frozen and formalin-fixed paraffin-embedded tumour specimens, supporting translation potential in the standard clinical setting. A limitation was the relatively low progression rate (5%, 37/750 patients). CONCLUSIONS: The 12-gene progression score had independent prognostic power beyond clinical and histopathological risk factors, and may help in stratifying NMIBC patients to optimise treatment and follow-up regimens. PATIENT SUMMARY: Clinical use of a 12-gene molecular test for disease aggressiveness may help in stratifying patients with non-muscle-invasive bladder cancer to optimal treatment regimens.
Subject(s)
Biomarkers, Tumor/genetics , Real-Time Polymerase Chain Reaction , Urinary Bladder Neoplasms/genetics , Aged , Area Under Curve , Disease Progression , Female , Genetic Predisposition to Disease , Humans , Kaplan-Meier Estimate , Male , Multivariate Analysis , Neoplasm Invasiveness , Phenotype , Predictive Value of Tests , Proportional Hazards Models , Prospective Studies , ROC Curve , Reproducibility of Results , Risk Factors , Time Factors , Urinary Bladder Neoplasms/mortality , Urinary Bladder Neoplasms/pathology , Urinary Bladder Neoplasms/therapyABSTRACT
OBJECTIVE: The aim of our study was to try to validate 3 promising predictive biomarkers in a database based on prospective trials comparing bacillus Calmette-Guerin (BCG) with mitomycin-C and a combination of epirubicin and interferon, respectively. BACKGROUND: The most common form of bladder cancer is non-muscle-invasive tumors treated initially with transurethral resection. Unfortunately more than half recur and some also progress. Consequently, an attempt to prevent poor outcome is frequently made by intravesical instillations either by chemo- or immunotherapy. The response to such treatment is unpredictable, which is why markers predicting outcome would be valuable. PATIENTS AND METHODS: Immunohistochemical expression of ezrin, CK20, and Ki-67 was evaluated in a tumor tissue microarray based on 2 nordic multicenter trials comparing treatment with BCG vs. other intravesical adjuvant therapies. Kaplan-Meier analysis, log-rank test, and Cox regression were used to evaluate the effect of the biomarkers on recurrence-, progression-, and treatment failure-free survival. RESULTS: Of the 294 available patients immunoreactivity could be assessed in 285 patients for ezrin (97%), 285 patients for CK20 (97%), and 294 patient׳s for Ki-67 (100%). The 3 biomarkers did not predict time to any of the endpoints. Multifocality was the only predictive factor for time to recurrence (P = 0.029) and progression (P = 0.031). Ezrin was, however, predictive for treatment failure (P = 0.029) in a subgroup (BCG treated in one of the trials). In a multivariate analysis among BCG treated, none of the variables correlated to recurrence and only multifocality correlated to progression. Limitations in our study are the retrospective design and those inherent to immunohistochemistry. CONCLUSIONS: The negative results from this validation study question the ability of the tested biomarkers to predict therapy effect.
Subject(s)
BCG Vaccine/therapeutic use , Biomarkers, Tumor/analysis , Carcinoma, Transitional Cell/drug therapy , Urinary Bladder Neoplasms/drug therapy , Aged , Carcinoma, Transitional Cell/mortality , Cytoskeletal Proteins/analysis , Disease-Free Survival , Female , Humans , Kaplan-Meier Estimate , Keratin-20/analysis , Ki-67 Antigen/analysis , Male , Middle Aged , Proportional Hazards Models , Retrospective Studies , Treatment Outcome , Urinary Bladder Neoplasms/mortalityABSTRACT
PURPOSE: Only 3% to 28% of patients referred to the urology clinic for hematuria are diagnosed with bladder cancer. Cystoscopy leads to high diagnostic costs and a high patient burden. Therefore, to improve the selection of patients for cystoscopy and reduce costs and over testing we aimed to validate a recently developed diagnostic urine assay. MATERIALS AND METHODS: Included in study were 200 patients from a total of 3 European countries who underwent cystoscopy for hematuria, including 97 with bladder cancer and 103 with nonmalignant findings. Voided urine samples were collected prior to cystoscopy. DNA was extracted and analyzed for mutations in FGFR3, TERT and HRAS, and methylation of OTX1, ONECUT2 and TWIST1. Logistic regression was used to analyze the association between predictor variables and bladder cancer. RESULTS: Combining the methylation and mutation markers with age led to an AUC of 0.96 (95% CI 0.92-0.99) with 93% sensitivity and 86% specificity, and an optimism corrected AUC of 0.95. The AUC was higher for T1 or greater tumors compared to Ta tumors (0.99 vs 0.93). The AUC was also higher for high grade tumors compared to low grade tumors (1.00 vs 0.93). Overall negative predictive value was 99% based on the 5% to 10% prevalence of bladder cancer in patients with hematuria. This would lead to a 77% reduction in diagnostic cystoscopy. CONCLUSIONS: Analyzing hematuria patients for the risk of bladder cancer using novel molecular markers may lead to a reduction in diagnostic cystoscopy. Combining methylation analysis (OTX1, ONECUT2 and TWIST1) with mutation analysis (FGFR3, TERT and HRAS) and patient age resulted in a validated accurate prediction model.
Subject(s)
Biomarkers, Tumor/genetics , Biomarkers, Tumor/urine , Cystoscopy , DNA Methylation , DNA Mutational Analysis , Hematuria/genetics , Hematuria/urine , Urinary Bladder Neoplasms/genetics , Urinary Bladder Neoplasms/urine , Adult , Aged , Aged, 80 and over , Diagnostic Tests, Routine , Female , Humans , Male , Middle Aged , Neoplasm Grading , Netherlands , Patient Selection , Predictive Value of Tests , Prospective Studies , Sensitivity and Specificity , Spain , SwedenABSTRACT
Non-muscle-invasive bladder cancer (NMIBC) is a heterogeneous disease with widely different outcomes. We performed a comprehensive transcriptional analysis of 460 early-stage urothelial carcinomas and showed that NMIBC can be subgrouped into three major classes with basal- and luminal-like characteristics and different clinical outcomes. Large differences in biological processes such as the cell cycle, epithelial-mesenchymal transition, and differentiation were observed. Analysis of transcript variants revealed frequent mutations in genes encoding proteins involved in chromatin organization and cytoskeletal functions. Furthermore, mutations in well-known cancer driver genes (e.g., TP53 and ERBB2) were primarily found in high-risk tumors, together with APOBEC-related mutational signatures. The identification of subclasses in NMIBC may offer better prognostication and treatment selection based on subclass assignment.
Subject(s)
Biomarkers, Tumor/genetics , Gene Expression Profiling/methods , Mutation , Sequence Analysis, RNA/methods , Urinary Bladder Neoplasms/genetics , Urinary Bladder Neoplasms/pathology , APOBEC Deaminases/genetics , Cluster Analysis , Female , Gene Expression Regulation, Neoplastic , Genetic Predisposition to Disease , Humans , Male , Neoplasm Staging , RNA, Long Noncoding/genetics , Survival AnalysisABSTRACT
PURPOSE: Neoadjuvant chemotherapy before cystectomy is recommended. To our knowledge the subset of patients likely to benefit has not been identified. We validate emmprin and survivin as markers of chemotherapy response. MATERIALS AND METHODS: Tumor specimens were obtained before therapy from a total of 250 patients with T1-T4 bladder cancer enrolled in 2 randomized trials comparing neoadjuvant chemotherapy before cystectomy with a surgery only arm. Protein expression was determined by immunohistochemistry. RESULTS: Expression was categorized according to predefined cutoffs reported in the literature. Data were analyzed with the Kaplan-Meier method and Cox models. Patients in the chemotherapy cohort with negative emmprin expression had significantly higher down staging overall survival than those with positive expression (71% vs 38%, p<0.001). The values for cancer specific survival were 76% and 56%, respectively (p<0.027). In the cystectomy only cohort emmprin expression was not associated with overall survival (46% vs 35%, p=0.23) or cancer specific survival (55% vs 51%, p=0.64). Emmprin negative patients had an absolute risk reduction of 25% in overall survival (95% CI 11-40) and a number needed to treat of 4 (95% CI 2.5-9.3). Survivin expression was not useful as a biomarker in this study. Limitations were the retrospective design and heterogeneity coupled with the time difference between the trials. CONCLUSIONS: Patients with emmprin negative tumors have a better response to neoadjuvant chemotherapy before cystectomy than those with positive expression.