Abstract 913: Early detection of metastatic relapse and monitoring of therapeutic efficacy by ultra-deep sequencing of plasma cell-free DNA in patients with urothelial bladder carcinoma
Authors: Christensen Emil , Birkenkamp-Demtröder Karin , Sethi Himanshu , Shchegrova Svetlana , Salari Raheleh , Nordentoft Iver , Wu Hsin-Ta , Knudsen Michael , Lamy Philippe , Lindskrog Sia V. , Taber Ann , Balcioglu Mustafa , Vang Søren , Assaf Zoe , Sharma Shruti , Tin Antony S. , Srinivasan Ramya , Hafez Dina , Reinert Thomas , Navarro Samantha , Olson Alexander , Ram Rosie , Dashner Scott , Rabinowitz Matthew , Billings Paul , Sigurjonsson Styrmir , Andersen Claus L. , Swenerton Ryan , Aleshin Alexey , Zimmermann Bernhard G. , Agerbæk Mads , Lin Cheng-Ho J. , Jensen Jørgen B. , Dyrskjøt Lars 
Published: August 2019

Abstract
Background
Circulating tumor DNA (ctDNA) analysis is an emerging field for diagnosis, monitoring of treatment efficacy and detection of disease recurrence in various cancers. In bladder cancer, previous work has demonstrated prognostic value of ctDNA for early stage cancers and early detection of recurrence following radical cystectomy (CX), however more extensive investigation of the potential impact of ctDNA analysis on clinical decision making remains to be carried out.
Methods
A total of 68 patients with localized advanced bladder cancer to be treated with neoadjuvant chemotherapy (NAC) and CX were prospectively included. We performed RNA-Seq to identify RNA subtypes and whole exome sequencing to identify somatic mutations for ctDNA analysis. Based on allele frequency and sequence context, 16 somatic mutations were selected for each patient for multiplex PCR and subsequent ultra-deep sequencing (median coverage of 114,000x). The sample-level analytical sensitivity was determined to be &gt;95% at 0.01% ctDNA concentration level when at least 2/16 mutations were detected. The protocol was applied to detect ctDNA in 618 blood samples procured at diagnosis, during NAC, before CX and during surveillance following CX.
Results
The presence of ctDNA was highly prognostic already at diagnosis before initiation of NAC (HR=31.7, p=0.001). Analysis of ctDNA dynamics during NAC revealed that clearance of ctDNA was associated with pathological downstaging (≤TaN0 at CX) and reduced disease recurrence. Conversely, continually detectable ctDNA during NAC was associated with lack of pathological downstaging and later disease recurrence (p=0.023). Our results suggest that ctDNA dynamics during NAC may offer superior predictive value compared to clinical parameters and tumor centric molecular markers such as DNA damage response mutations and RNA subtypes. Following CX, ctDNA analysis identified 92% of metastatic relapse (100% specificity) during disease monitoring (100% positive- and 98% negative predictive value). The positive lead-time over radiographic imaging was 100 days on average (range: -17-245 days).
Conclusions
ctDNA analysis of blood samples procured throughout the disease course of patients with bladder cancer demonstrates novel evidence of early risk stratification and monitoring of treatment efficacy, which adds to the already strong evidence of ctDNA-based recurrence detection. Collectively, this paves the way for novel ctDNA-based clinical trials.
Citation Format: Emil Christensen, Karin Birkenkamp-Demtröder, Himanshu Sethi, Svetlana Shchegrova, Raheleh Salari, Iver Nordentoft, Hsin-Ta Wu, Michael Knudsen, Philippe Lamy, Sia V. Lindskrog, Ann Taber, Mustafa Balcioglu, Søren Vang, Zoe Assaf, Shruti Sharma, Antony S. Tin, Ramya Srinivasan, Dina Hafez, Thomas Reinert, Samantha Navarro, Alexander Olson, Rosie Ram, Scott Dashner, Matthew Rabinowitz, Paul Billings, Styrmir Sigurjonsson, Claus L. Andersen, Ryan Swenerton, Alexey Aleshin, Bernhard G. Zimmermann, Mads Agerbæk, Cheng-Ho J. Lin, Jørgen B. Jensen, Lars Dyrskjøt. Early detection of metastatic relapse and monitoring of therapeutic efficacy by ultra-deep sequencing of plasma cell-free DNA in patients with urothelial bladder carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 913.