Pagano, Ian

Abstract Background and Objective: Bladder cancer is the 9th most diagnosed cancer worldwide with high incidences reported in Europe and the United States. Here, we evaluated the real-world performance of a commercially available multiplex immunoassay Oncuria-Detect that detects bladder cancer by simultaneously measuring a panel of 10 biomarker proteins in naturally voided urine samples. Methods: We tested prospectively collected urine samples from a real-world cohort of 1, 002 patients presenting to five USA centers, one European center and one Japanese center with hematuria. Assay results were collated with patient clinical data and a cancer diagnosis was defined by biopsy and pathology. The prevalence of bladder cancer in the cohort was 15.9%. Results: In a training set (n=684), the Oncuria-Detect assay correctly identified bladder cancer in 94/109 cases, representing a sensitivity of 91.8%, specificity of 71.6% (AUC 0.885; 95% CI 0.843 - 0.927) and with improved performance for high-grade bladder cancer and muscle-invasive bladder cancer (sensitivity 93.6% and 92.1%, respectively). In a test cohort of n =339 the AUC for detecting bladder cancer was 0.850 (95% CI 0.779-0.920). Conclusions and Implications: The multiplex Oncuria-Detect assay identified bladder cancer with high sensitivity and NPV, for low-grade and high-grade tumors alike. Oncuria-Detect’s high NPV could effectively rule out 66% of patients from requiring subsequent cystoscopy. Citation Format: Ian Pagano, Zhen Zhang, Sergei Tikhonenkov, Florence Le Calvez-Kelm, Steve Goodison, Toru Sakatani, Kaoru Murakami, Takashi Kobayashi, Howard Kim, Riko Lee, Sunao Tanaka, Charles J. Rosser, Hideki Furuya. Performance of the Oncuria-detect bladder cancer test for evaluating patients presenting with hematuria: results from a real-world clinical setting [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 5919.

Abstract Up to 70% of patients with non-muscle invasive bladder cancer (NMIBC) experience disease recurrence, making it one of the most prevalent cancers in the US. The purpose of this study was to test the performance of Oncuria®-Monitor, a multiplex urinary biomarker assay for the monitoring of voided urine for recurrent bladder cancer. This cross-sectional, multicenter study included a total of 283 subjects with a history of bladder cancer. Voided urine specimens were collected prior to any procedures for multiplex analysis. The diagnostic performance of the biomarker panel was assessed using receiver operator curves (ROC) and descriptive statistical values (e.g., sensitivity and specificity) and compared with the patients’ clinical data and final diagnosis as defined by the results of cystoscopy. Oncuria®-Monitor achieved an overall sensitivity of 94.3%, specificity of 83.6% and negative predictive valuer (NPV) of 96.2% for the detection of recurrent bladder cancer. Patient summary: We conducted a large cross-sectional clinical study for detecting recurrent bladder cancer with a novel, simple urine test (Oncuria®- Monitor), which measures 10 bladder cancer associated proteins in a single voided urine and can be used to detect recurrent bladder cancer. We analyzed urines from 283 patients and demonstrated that Oncuria®-Monitor can detect recurrent bladder cancer with a high degree of accuracy, specifically in patients with high grade or high stage disease. In conclusion, the novel Oncuria®-Monitor urine test can be used to surveil patients with a history of bladder cancer. Citation Format: Zhen Zhang, Florence Le Calvez-Kelm, Makito Miyake, Ian Pagano, Takuto Shimizu, Sergei Tikhonenkov, Sunao Tanaka, Charles J Rosser, Steve Goodison, Hideki Furuya. Oncuria®-Monitor, a non-invasive test for the detection of recurrent bladder cancer: Cross sectional performance evaluation from a multicenter study [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A072.

Abstract Bladder cancer is the 9th most diagnosed cancer worldwide with higher incidences reported in Europe and the United States. Here, we evaluate the performance of a novel, commercially available multiplex immunoassay querying for 10 proteins associated with a bladder cancer diagnostic signature (Oncuria®-Detect, Nonagen Bioscience Corp, Los Angeles, CA, US) for the detection of de novo bladder cancer, in a large prospectively collected real world cohort comprised of 995 patients, across seven centers, presenting with hematuria. The results were compared with the patients’ clinical data and final diagnosis as defined by the results of cystoscopy, with a prevalence of bladder cancer of 15.9%. In the test cohort, Oncuria®-Detect detected bladder tumors in 94/109 cancers, giving overall sensitivity of 86.2% and an overall negative predictive value (NPV) of 96.7% with corresponding specificity of 80.2% with favorable performance characteristics in high grade bladder cancer and muscle-invasive bladder cancer. Patient summary: We conducted a large cross-sectional clinical study for detecting de novo bladder cancer with a novel, simple urine test (Oncuria®-Detect), which measures 10 bladder cancer associated proteins in a single voided urine sample. We analyzed urines from 995 patients and demonstrated that the new urine test can detect bladder cancer with a high degree of accuracy, specifically in patients with high grade or high stage disease. In conclusion, the novel Oncuria®-Detect urine test can be used to help detect new bladder cancers. Citation Format: Ian Pagano, Sergei Tikhonenkov, Florence Le Calvez-Kelm, Steve Goodison, Zhen Zhang, Toru Sakatani, Kaoru Murakami, Howard Kim, Riko Lee, Sunao Tanaka, Charles J Rosser, Hideki Furuya. Performance of the Oncuria®-Detect test for the evaluation of patients presenting with hematuria: Results from a real world clinical setting [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A071.

Purpose: Bladder cancer (BCa) is one of the most common cancer types worldwide and is characterized by a high rate of recurrence. In previous studies, we and others have described the functional influence of plasminogen activator inhibitor-1 (PAI1) in bladder cancer development. While polymorphisms in PAI1 have been associated with increased risk and worsened prognosis in some cancers, the mutational status of PAI1 in human bladder tumors has not been well defined. Methods: In this study, we evaluated the mutational status of PAI1 in a series of independent cohorts, comprised of a total of 660 subjects. Results: Sequencing analyses identified two clinically relevant 3′ untranslated region (UTR) single nucleotide polymorphisms (SNPs) in PAI1 (rs7242; rs1050813). Somatic SNP rs7242 was present in human BCa cohorts (overall incidence of 72%; 62% in Caucasians and 72% in Asians). In contrast, the overall incidence of germline SNP rs1050813 was 18% (39% in Caucasians and 6% in Asians). Furthermore, Caucasian patients with at least one of the described SNPs had worse recurrence-free survival and overall survival (p = 0.03 and p = 0.03, respectively). In vitro functional studies demonstrated that SNP rs7242 increased the anti-apoptotic effect of PAI1, and SNP rs1050813 was related to a loss of contact inhibition associated with cellular proliferation when compared to wild type. Conclusion: Further investigation of the prevalence and potential downstream influence of these SNPs in bladder cancer is warranted.

Bladder cancer is a biologically heterogeneous disease with variable clinical presentations, outcomes and responses to therapy. Thus, the clinical utility of single biomarkers for the detection and prediction of biological behavior of bladder cancer is limited. We have previously identified and validated a bladder cancer diagnostic signature composed of 10 biomarkers, which has been incorporated into a multiplex immunoassay bladder cancer test, Oncuria™. In this study, we evaluate whether these 10 biomarkers can assist in the prediction of bladder cancer clinical outcomes. Tumor gene expression and patient survival data from bladder cancer cases from The Cancer Genome Atlas (TCGA) were analyzed. Alignment between the mRNA expression of 10 biomarkers and the TCGA 2017 subtype classification was assessed. Kaplan–Meier analysis of multiple gene expression datasets indicated that high expression of the combined 10 biomarkers correlated with a significant reduction in overall survival. The analysis of three independent, publicly available gene expression datasets confirmed that multiplex prognostic models outperformed single biomarkers. In total, 8 of the 10 biomarkers from the Oncuria™ test were significantly associated with either luminal or basal molecular subtypes, and thus, the test has the potential to assist in the prediction of clinical outcome.

Background: The Oncuria™ urine test for the detection of bladder cancer measures a multiplex protein signature. In this study, we investigated the influence of urinary cellularity, protein, and hematuria on the performance of the Oncuria™ test in an ex vivo experimental model. Materials and Methods: Pooled urine from healthy subjects was spiked with cultured benign (UROtsa) or malignant cells (T24), cellular proteins, or whole blood. The resulting samples were analyzed using the Oncuria™ test following the manufacturer’s instructions. Results: Urine samples obtained from healthy subjects were negative for bladder cancer by Oncuria™ test criteria. The majority of the manipulated conditions did not result in a false-positive test. The addition of whole blood (high concentration) did result in a false-positive result, but this was abrogated by sample centrifugation prior to analysis. The addition of cellular proteins (high concentration) resulted in a positive Oncuria™ test, and this was unaffected by pre-analysis sample centrifugation. Conclusions: The Oncuria™ multiplex test performed well in the ex vivo experimental model and shows promise for clinical application. The identification of patients who require additional clinical evaluation could reduce the need to subject patients who do not have bladder cancer to frequent, uncomfortable and expensive cystoscopic examinations, thus benefiting both patients and the healthcare system.

Abstract Sphingosine kinase 1 (SphK1) phosphorylates pro-apoptotic sphingosine to form pro-survival sphingosine-1-phosphate (S1P), leading to cancer progression. In breast cancer, high levels of SphK1 mRNA are found in 80% of the patients, with average increase of 2-fold in breast tumors compared with normal tissue from the same patient. Recent studies suggest that SphK1 expression is associated with disease-free survival in ER-negative and HER2-positive breast tumors. In addition, inhibition of SphK1 in HER2-positive breast cancer cell line reduced S1P-induced HER2 and ERK1/2 activation. While these evidences suggest that SphK1 may play an important role in HER2-positive breast cancer, the exact role of SphK1 in breast tumorigenesis remains unclear. The aim of this project is to define the role of SphK1 in HER2-positive breast tumorigenesis and to investigate whether the pathway components are potential target for breast cancer prevention and therapies. Here, we report that SphK1 is required for HER2/neu-induced breast tumorigenesis and SphK1 regulates claudin-2 (CLDN2) to promote tumor development perhaps by mediating HER2. In MMTV-neu transgenic mouse model, genetic deletion of SphK1, which was accompanied by reduced S1P and increased C16-ceramide levels, significantly inhibited breast tumor development, with reduced incidence (SphK1-/-, 19%; SphK1+/-, 26%; and SphK1+/+, 57%; p < 0.05) and multiplicity (SphK1-/-, 0.27 ± 0.13; SphK1+/-, 0.32 ± 0.07; and SphK1+/+, 0.67 ± 0.14 tumors per animal; p < 0.05). Unexpectedly, SphK1 deletion did not affect tumor growth as results showed no differences in tumor volume. However, this is not surprising when considering the fact that the tumors were allowed to grow until tumor reached 20 mm in longer diameter, at which they were sacrificed regardless of age. Interestingly, whole genome expression analysis by Illumina MouseWG-6 v2.0 Expression BeadChip Array revealed significant reduction of CLDN2 expression in tumors from SphK1 deficient mice (p < 0.0001). In support to these findings, overexpression of SphK1 in MDA-MB-453 human breast cancer cells, which HER2 is amplified but lacks hormone receptors, lead to increase in CLDN2 expression (p < 0.05). Furthermore, overexpression of SphK1 in MDA-MB-453 cells also enhanced cell proliferation, colony formation, and migration/invasion, and drug resistance to cisplatin. The relevance of this finings in humans was confirmed by immunostaining of SphK1 and CLDN2 in HER2-positive breast cancer tumors and normal tissues (n = 93 and 35 subjects, respectively). The results showed that the expression of SphK1 was higher in tumors compared to adjacent normal tissue (p < 0.0001). Furthermore, higher SphK1 expression was observed in high grade tumors (vs low grade; p < 0.001) and ER-PR- tumors (vs ER+PR+; p < 0.0001). Interestingly, we observed similar staining pattern of CLDN2 proteins, where CLDN2 expression was high in tumors (p < 0.0001), particularly in high grade tumors (p < 0.01) and ER-PR- tumors (p < 0.0001). Moreover, we found a strong correlation between SphK1 and CLDN2 expressions in tumors but not in normal tissues, confirming the results obtained in animal study. Taken together, these findings suggest that SphK1 may play a pivotal role in HER2-positive breast carcinogenesis, and targeting SphK1 and/or CLDN2 may represent a novel approach for HER2-positive breast cancer chemoprevention and/or treatment. Citation Format: Yoshiko Shimizu, Hideki Furuya, Paulette M. Tamashiro, Steve Goodison, Owen Chan, Ian Pagano, Kayoko Iino, Rafael Peres, Kanani Hokutan, Lenora W.M. Loo, Brenda Hernandez, Aung Naing, Charles J. Rosser, Toshihiko Kawamori. Genetic deletion of sphingosine kinase 1 suppresses mouse breast tumor development in MMTV-neu transgenic model. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research; Oct 17-20, 2015; Bellevue, WA. Philadelphia (PA): AACR; Mol Cancer Res 2016;14(2_Suppl):Abstract nr B17.

Abstract Background. Breast density assessed from mammography is a strong predictor of breast cancer risk, but the strength of the association may vary with adiposity. To examine effect modification by adiposity, we combined data from four case-control studies on breast density that represented an ethnically diverse population with a wide variation in level of adiposity as measured by body mass index (BMI, kg/m2). Methods. We combined data from four case-control studies representing different locations: California, Hawaii and Minnesota in the United States, and Gifu in Japan. All studies included incident breast cancer cases diagnosed between 1994 and 2002 and matched controls representing the underlying case population. One mammographic image per subject was selected, specifically the mammogram at diagnosis for the studies from California, Minnesota, and Japan and the closest prediagnostic mammogram for Hawaii. Percent density was measured by one reader, who was blinded to case status, using a computer-assisted method. Self-reported anthropometric measures were used to classify women as normal, overweight, and obese according to ethnic-specific BMI cut points (<23, 23-27.4, and ≥27.5 for Asian women and <25, 25-29.9, and ≥30 for other ethnic groups). Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (95% CI) and to evaluate interactions using the likelihood ratio while adjusting for potential confounders, including age and ethnicity. Heterogeneity across studies was marginally significant as assessed by examining density-by-study interaction (P = 0.09) and, therefore, we also adjusted for study-site. Results. The study included 1,699 cases and 2,422 controls of diverse ethnicity: 45% Caucasian, 40% Asian, 9% African-American, and 7% Other. Of these women, we classified 34% as overweight and19% as obese. Age-adjusted mean percent density was significantly greater for cases than for controls: 31.7% versus 28.9%, respectively (P < 0.001). BMI was inversely associated with breast density; the estimated age-adjusted mean percent density was 36.5%, 26.8%, and 19.3% for normal, overweight, and obese, respectively (Ptrend < 0.001). The overall OR for a 10% higher percent density was 1.15 (95% CI: 1.05, 1.18) with higher estimates in overweight (OR: 1.19, 95% CI: 1.09, 1.29) and obese (OR: 1.25, 95% CI: 1.11, 1.41) than normal BMI (OR: 1.11, 95% CI: 1.05, 1.18). The effect modification by BMI was statistically significant (Pinteraction = 0.01). Conclusions. Our findings confirm that the elevated risk of breast cancer associated with breast density differs by level of adiposity, with a higher risk for overweight and obese than normal BMI. Further research is needed to understand the underlying biological reasons for these noted differences in association by adiposity. Citation Information: Cancer Prev Res 2010;3(12 Suppl):B25.