1. Biodynamic prediction of neoadjuvant chemotherapy response: Results from a prospective multicenter study of predictive accuracy among muscle-invasive bladder cancer patients.
- Author
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Laviana AA, Schiftan EG, Mashni JW, Large MC, Kaimakliotis HZ, Nolte DD, Turek JJ, An R, Morgan TA, and Chang SS
- Subjects
- Humans, Neoadjuvant Therapy adverse effects, Prospective Studies, Cystectomy methods, Muscles pathology, Antineoplastic Combined Chemotherapy Protocols therapeutic use, Neoplasm Invasiveness, Retrospective Studies, Cisplatin therapeutic use, Urinary Bladder Neoplasms pathology
- Abstract
Background: Biodynamic signatures (temporal patterns of microscopic motion within a 3-dimensional tumor explant) offer phenomic biomarkers that are highly predictive for therapeutic response., Objective: By utilizing motility contrast tomography, which provides a simple, fast assessment of motion patterns in living tissue, we evaluated the predictive accuracy of a biodynamic drug response classifier in muscle-invasive bladder cancer (MIBC) patients undergoing neoadjuvant chemotherapy (NAC)., Design, Setting, and Participants: One hundred five consecutive bladder cancer patients suspected of having MIBC were screened in a multi-institutional prospective observational study (NCT03739177) from July 2018 to June 2020, of whom, 30 completed NAC and radical cystectomy., Intervention(s): Biodynamic signatures from treatment-naïve fresh bladder tumor specimens obtained after transurethral resection were measured in living tumor fragments challenged by standard-of-care cytotoxins. Patients received gemcitabine and cisplatin or dose-dense methotrexate, vinblastine, doxorubicin, and cisplatin per institutional guidelines and were followed through radical cystectomy., Outcomes Measurements and Statistical Analysis: A 4-level classifier was developed to predict pathologic complete response (pCR) vs. incomplete response utilizing a one-left-out cross-validation protocol to minimize over-fitting. Area under the curve evaluated predictive utility., Results: Thirty percent (9 of 30) achieved pCR. Utilizing the 4-level classifier, biodynamically "favored" (scoring ≥ 3) and "strongly favored" (scoring 4) regimens accurately predicted pCR at rates of 66.7% (4 of 6 patients) and 100% (4 of 4 patients), respectively. Biodynamically "favored" scores predicted pCR with 88% sensitivity and 95% negative predictive value, P < 0.0001. Only 5.0% (1 of 20 patients) achieved pCR from regimens scoring 1 or 2, indicating poor to no response from NAC. Area under the receiver operating curve was 96% (95% Confidence Interval: 79%-99%, P < 0.0001). Future direction involves validating this model prospectively., Principal Conclusions: Biodynamic scoring accurately predicts response in MIBC patients receiving NAC and holds promise to substantially improve the scope of appropriate management intervention., Competing Interests: Conflict of interest Certain authors (DN, JT, AN, TM) have an economic interest in Animated Dynamics, Inc. which holds an exclusive license from Purdue University to market biodynamic imaging technology., (Copyright © 2022 Elsevier Inc. All rights reserved.)
- Published
- 2023
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