Abstract 2579
Background
NSR-SCC is a rare subset of bladder tumors distinct from urothelial carcinoma (UC). Most studies that have assessed molecular biomarkers in bladder cancer have been limited to UC. We aim to characterize the genomic profile of NSR-SCC and to correlate genomic alterations with survival outcomes.
Methods
This was a retrospective study of NSR-SCC patients (pts) at Princess Margaret Cancer Centre. Patient demographics, risk factors, disease characteristics, treatment modalities, and survival outcomes were collected for eligible pts. Genomic DNA and complementary DNA were analyzed using Oncomine® V3 assay, a targeted NGS platform. Overall survival (OS) was estimated by Kaplan-Meier (log-rank). Uni- (UVA) and multi-variate (MVA) analysis (Cox-regression) was used to evaluate the impact of patient and genomic characteristics on OS.
Results
We identified 11 pts with NSR-SCC from 2002-2017, with median age 71 years (range 46-86) and 7 were male. Nine pts had muscle invasive, 1 superficial stage and 1 distant metastasis. Nine pts had radical cystectomy and LN dissection. Eight pts had pT3 or pT4 with N0 and 6 were grade 2. Median OS was 12.5 months (95 % CI 7.7- 17.2 months). Common point mutations were identified in TERT (73%), TP53 (73%), PIK3CA (27%), CREBBP (18%), FBXW7 (18%), and PTEN (18%). Amplifications were identified in EGFR (18%), FGF3 (18%), CCND1 (18%), and FGF19 (18%). Additional mutations were detected at a frequency <10%. On UVA, only bladder irritants (e.g. prior radiation, urinary catheter, infection) were associated with improved OS (HR = 0.091; p = 0.031). A limited MVA didn’t identify any significant prognostic genomic abnormalities: TP53 (HR = 2.2; 95%CI: 0.3-17; p = 0.425), TERT (HR = 1.45; 95%CI: 0.2-10.2; p = 0.70) and PIK3CA (HR = 0.46; 95%CI: 0.1- 2.0; p = 0.31).
Conclusions
In this NSR-SCC series, we identified a number of actionable genomic alterations that may be targeted with drugs. No mutation was able to define different prognostic groups. Many of these aberrations were seen in UC. Biomarker driven studies in UC should consider enrollment of NSR-SCC pts who harbor these putative mutations.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Aaron Hansen.
Funding
Astellas.
Disclosure
A.G. Sacher: Honoraria (self), Advisory / Consultancy: AstraZeneca; Honoraria (self), Advisory / Consultancy: Bayer; Honoraria (self): Merck; Honoraria (self): Genentech-Roche. G. Kulkarni: Advisory / Consultancy: Janssen; Advisory / Consultancy: Astellas; Advisory / Consultancy: Roche; Advisory / Consultancy: Merck; Advisory / Consultancy, Travel / Accommodation / Expenses: Ferring; Advisory / Consultancy: Sanofi. A. Zlotta: Advisory / Consultancy: Sanofi; Advisory / Consultancy: Ferring; Advisory / Consultancy: Janssen. A.R. Hansen: Advisory / Consultancy, Research grant / Funding (self): Genentech; Advisory / Consultancy, Research grant / Funding (self): Roche; Advisory / Consultancy, Research grant / Funding (self): Merck; Advisory / Consultancy, Research grant / Funding (self): GSK; Advisory / Consultancy, Research grant / Funding (self): Bristol-Myers; Advisory / Consultancy, Research grant / Funding (self): Squibb; Advisory / Consultancy, Research grant / Funding (self): Novartis; Advisory / Consultancy, Research grant / Funding (self): Boston Biomedical; Advisory / Consultancy, Research grant / Funding (self): Boehringer Ingelheim; Advisory / Consultancy, Research grant / Funding (self): AstraZeneca. All other authors have declared no conflicts of interest.
Resources from the same session
4614 - Predictors of Response to Checkpoint Inhibitors in Naïve and Ipilimumab-Refractory Melanoma
Presenter: Domenico Mallardo
Session: Poster Display session 3
Resources:
Abstract
2901 - IFN-γ/IL-10 ratio as predictive biomarker for response to anti-PD-1 therapy in metastatic melanoma patients
Presenter: Emilio Giunta
Session: Poster Display session 3
Resources:
Abstract
2306 - Multiplex Chromogenic Immunohistochemistry (IHC) for Spatial Analysis of Checkpoint-Positive Tumor Infiltrating Lymphocytes (TILs)
Presenter: Scott Ely
Session: Poster Display session 3
Resources:
Abstract
1678 - The role of PD-L1 expression as a predictive biomarker in advanced renal cell carcinoma: a meta-analysis of randomized clinical trials.
Presenter: Alberto Carretero-Gonzalez
Session: Poster Display session 3
Resources:
Abstract
5138 - Radiomic Features as a Non-invasive Biomarker to Predict Response to Immunotherapy in Recurrent or Metastatic Urothelial Carcinoma
Presenter: Kye Jin Park
Session: Poster Display session 3
Resources:
Abstract
5800 - Integrative combination of high-plex digital profiling techniques and cluster analysis to reveal complex immune biology in the tumor microenvironment of mesothelioma
Presenter: Carmen Ballesteros-Merino
Session: Poster Display session 3
Resources:
Abstract
5736 - Predictive factors of response to immunotherapy in 198 patients with metastatic non-microcytic lung cancer (mNSCLC): real world data from 2 university hospitals in Spain
Presenter: Juan Felipe Cordoba Ortega
Session: Poster Display session 3
Resources:
Abstract
5645 - Evaluating Lung CT Density Changes Among Patients with Extensive Stage Small Cell Lung Cancer (ES-SCLC) Treated with Thoracic Radiotherapy (TRT) alone or TRT Followed by Combined Ipilimumab (IPI) and Nivolumab (NIVO).
Presenter: Kujtim Latifi
Session: Poster Display session 3
Resources:
Abstract
1540 - Immuno-oncology therapy biomarkers differences between polyoma-virus positive and negative Merkel cell carcinomas
Presenter: Zoran Gatalica
Session: Poster Display session 3
Resources:
Abstract
4538 - Can we improve patient selection for phase 1 clinical trials (Ph1) based on Immuno-Oncology score prognostic index (VIO)?
Presenter: Ignacio Matos Garcia
Session: Poster Display session 3
Resources:
Abstract