Konety, Badrinath R.

Abstract Annual breast cancer screening is a critical piece of women’s health. While mammography remains the gold standard, increased breast density leads to decreased sensitivity, underscoring the need for more sensitive and accessible screening methods. Liquid-based biopsies for early breast cancer detection are emerging but currently remain out of reach for clinical use. Recent data on nucleotide assessment from plasma in breast cancer have been mixed with 87% sensitivity for late-stage disease (stage 3-4) but only 20% sensitivity for early-stage disease (stage 0-2). Proteomics is an exciting area for early cancer screening where improvements in sample preparation and equipment have enabled major advances in early cancer detection. This is particularly true for a deep proteome assay as proteins can be identified which are 8-9 orders of magnitude less abundant than the most common plasma proteins. This study evaluates the presence of breast cancer using label-free shotgun mass spectrometry-based proteomics on less than 1 ml of plasma from 1,259 women classified as either healthy or newly diagnosed treatment naïve breast cancer patients with a focus on early-stage disease. We trained using a cohort of 845 women, comprising of 466 healthy and 379 with breast cancer and validated on 397 women (195 healthy and 202 breast cancer) using a protein-based machine learning classifier to distinguish these groups. All plasma samples were processed in a blinded manner coupled with semi-quantitative, label-free mass spectrometry (MS)-based analysis. The median number of proteins detected per patient across breast cancer and healthy individuals was 7,064 and 7,054, respectively. The validation performance achieved 92.3% specificity for healthy controls and an overall sensitivity of 92.6% with an AUC of 0.975 (95% CI: 0.961-0.987) for breast cancer patients. Sensitivity broken down by clinical stage (0-IV), molecular subtypes (HR+/HER2+, HR-/HER2+, HR+/HER2-, and HR-/HER2-) and pathological subtypes (LCIS, DCIS, ILC, and IDC) were ≥85% and indistinguishable across all stages and subtypes. Gene set enrichment analyses (GSEA) identified pathways including epithelial-to-mesenchymal transition (EMT) and PI3K-AKT signaling as enriched in the breast cancer samples, highlighting that our test can identify cancer-related proteins in early-stage patients. Overall, we have developed a highly sensitive blood-based assay that utilizes deep proteomic profiling to identify distinctive cancer specific signatures in women who are undergoing screening for breast cancer. This work enables us to develop a protein-based classifier from plasma for early detection of breast cancer and enhances screening strategies for women with dense breasts who are at average or high-risk based on family history, specific genetic mutations such as BRCA1/2, race, or other factors. Citation Format: Alec Horrmann, Yash Travadi, Jacob Carey, Kevin Mallery, Ella Boytim, Grant Schaap, Carissa Rungkittikhun, Kaylee Kamalanathan, Nathaniel R. Bristow, Catalina Galeano-Garces, Adam Groth, Alexa R. Hesch, Pooja Advani, Justin Hwang, Badrinath R. Konety, Justin M. Drake. Deep plasma proteomics for early-stage breast cancer detection [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4073.

686 Background: Blue-light cystoscopy (BLC) is an established procedure for use in the diagnosis and surveillance of patients with non-muscle-invasive bladder cancer (NMIBC). It is associated with improved detection rates compared to white light cystoscopy (WLC); however, limited data is available regarding its role in upstaging and/or upgrading when used alongside WLC. The aim of this study is to assess the incidence and features of patients undergoing upstaging and/or risk-group migration with the implementation of BLC. Methods: Using data from the prospective multi-institutional Cysview Registry (2014-2024), patients with NMIBC who underwent transurethral resection or biopsy of bladder tumors were identified. The patients in whom malignant lesions were exclusively detected by BLC, as well as those experiencing an upward change in risk category (as defined by the American Urological Association [AUA] classification) based on BLC findings, were documented. The clinical features of these patients were subsequently reviewed. Results: In this study, 2,854 patients were enrolled, who collectively underwent 4,158 resections and provided 6,432 separate pathology samples. A total of 201 (7%) patients had at least one malignant lesion detected exclusively by BLC while having negative WLC. These lesions (total 335) included carcinoma in-situ (CIS) in 145 (43%), low-grade Ta in 53 (16%), high-grade Ta in 95 (28%), high-grade T1 in 37 (11%), and high-grade T2 in 5 (1%). In patients with multifocal disease, BLC resulted in AUA risk-group upward migration in 66 (2.3%) patients.Theclinical features of these two groups are presented in the table. Taken together, the total rate of upgrading or upstaging using BLC was 9.3%, including migration to low-risk in 1.2%, intermediate-risk in 2.1%, and high-risk in 6%. Conclusions: Using BLC during transurethral resection or biopsy of bladder tumors results in risk group migration in over 9% of patients with NMIBC. This impacts patient management, including the administration of intravesical therapy when it was not initially planned, an extension in the duration of therapy, or the decision to proceed with radical cystectomy. Clinical features of patients with malignant lesions detected by BLC only (A) and those with risk group migration (B). Clinical features A B Age, median (IQR), year 71 (63-76) 71 (61-77) Gender, n (%) Male Female 140 (74)49 (26) 54 (82)12 (18) History of smoking, n (%) 117 (62) 40 (61) Primary occurrence, n (%) 65 (34) 14 (21) History on intravesical therapy, n (%) 92 (49) 40 (61) Urine cytology * , n (%) Positive Suspicious Atypical Negative/NA 33 (17)21 (10)41 (20)106 (53) 13 (20)7 (11)10 (15)36 (54) IQR: interquartile range; NA: not available. *Detected by either voided urine or bladder wash.

The use of blue light cystoscopy (BLC) has been shown to improve bladder tumor detection. However, data demonstrating the efficacy of BLC across different races are limited. Herein, we aim to evaluate heterogeneity in the characteristics of BLC for the detection of malignant lesions among various races. Clinicopathologic information was collected from patients enrolled in the multi-institutional Cysview® registry (2014–2021) who underwent transurethral resection or biopsy of bladder tumors. Outcome variables included sensitivity and negative and positive predictive values of BLC and white light cystoscopy (WLC) for the detection of malignant lesions among various races. Overall, 2379 separate lesions/tumors were identified from 1292 patients, of whom 1095 (85%) were Caucasian, 96 (7%) were African American, 51 (4%) were Asian, and 50 (4%) were Hispanic. The sensitivity of BLC was higher than that of WLC in the total cohort, as well as in the Caucasian and Asian subgroups. The addition of BLC to WLC increased the detection rate by 10% for any malignant lesion in the total cohort, with the greatest increase in Asian patients (18%). Additionally, the positive predictive value of BLC was highest in Asian patients (94%), while Hispanic patients had the highest negative predictive value (86%). Our study showed that regardless of race, BLC increases the detection of bladder cancer when combined with WLC.

Objectives To evaluate the role of blue‐light cystoscopy (BLC) in detecting invasive tumours that were not visible on white‐light cystoscopy (WLC). Patients and Methods Using the multi‐institutional Cysview registry database, patients who had at least one white‐light negative (WL–)/blue‐light positive (BL+) lesion with invasive pathology (≥T1) as highest stage tumour were identified. All WL–/BL+ lesions and all invasive tumours in the database were used as denominators. Relevant baseline and outcome data were collected. Results Of the 3514 lesions (1257 unique patients), 818 (23.2%) lesions were WL−/BL+, of those, 55 (7%) lesions were invasive (48 T1, seven T2; 47 unique patients) including 28/55 (51%) de novo invasive lesions (26 unique patients). In all, 21/47 (45%) patients had WL−/BL+ concommitant carcinoma in situ and/or another T1 lesions. Of 22 patients with a WL−/BL+ lesion who underwent radical cystectomy (RC), high‐risk pathological features leading to RC was only visible on BLC in 18 (82%) patients. At time of RC, 11/22 (50%) patients had pathological upstaging including four (18%) with node‐positive disease. Conclusions A considerable proportion of invasive lesions are only detectable by BLC and the rate of pathological upstaging is significant. Our present findings suggest an additional benefit of BLC in the detection of invasive bladder tumours that has implications for treatment approach.

Background: To assess the differential effect of robotic assisted radical cystectomy (RARC) versus open radical cystectomy (ORC) on survival outcomes in matched analyses performed on a large multicentric cohort. Methods: The study included 9757 patients with urothelial bladder cancer (BCa) treated in a consecutive manner at each of 25 institutions. All patients underwent radical cystectomy with bilateral pelvic lymphadenectomy. To adjust for potential selection bias, propensity score matching 2:1 was performed with two ORC patients matched to one RARC patient. The propensity-matched cohort included 1374 patients. Multivariable competing risk analyses accounting for death of other causes, tested association of surgical technique with recurrence and cancer specific mortality (CSM), before and after propensity score matching. Results: Overall, 767 (7.8%) patients underwent RARC and 8990 (92.2%) ORC. The median follow-up before and after propensity matching was 81 and 102 months, respectively. In the overall population, the 3-year recurrence rates and CSM were 37% vs. 26% and 34% vs. 24% for ORC vs. RARC (all p values > 0.1), respectively. On multivariable Cox regression analyses, RARC and ORC had similar recurrence and CSM rates before and after matching (all p values > 0.1). Conclusions: Patients treated with RARC and ORC have similar survival outcomes. This data is helpful in consulting patients until long term survival outcomes of level one evidence is available.