PURPOSE: Cancer patients with advanced-stage disease have poor prognosis, typically having limited options for efficacious treatment, and genomics-based therapy guidance continues to benefit only a fraction of patients. Next-generation ex vivo approaches, such as cell mass-based response testing (MRT), offer an alternative precision medicine approach for a broader population of patients with cancer, but validation of clinical feasibility and potential impact remain necessary. MATERIALS AND METHODS: We evaluated the clinical feasibility and accuracy of using live-cell MRT to predict patient drug sensitivity. Using a unified measurement workflow with a 48-hour result turnaround time, samples were subjected to MRT after treatment with a panel of drugs in vitro. After completion of therapeutic course, clinical response data were correlated with MRT-based predictions of outcome. Specimens were collected from 104 patients with solid (n = 69) and hematologic (n = 35) malignancies, using tissue formats including needle biopsies, malignant fluids, bone marrow aspirates, and blood samples. Of the 81 (78%) specimens qualified for MRT, 41 (51%) patients receiving physician-selected therapies had treatments matched to MRT. RESULTS: MRT demonstrated high concordance with clinical responses with an odds ratio (OR) of 14.80 (P = .0003 [95% CI, 2.83 to 102.9]). This performance held for both solid and hematologic malignances with ORs of 20.67 (P = .0128 [95% CI, 1.45 to 1,375.57]) and 8.20 (P = .045 [95% CI, 0.77 to 133.56]), respectively. Overall, these results had a predictive accuracy of 80% (P = .0026 [95% CI, 65 to 91]). CONCLUSION: MRT showed highly significant correlation with clinical response to therapy. Routine clinical use is technically feasible and broadly applicable to a wide range of samples and malignancy types, supporting the need for future validation studies.
Cellular Mass Response to Therapy Correlates With Clinical Response for a Range of Malignancies.
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作者:Stevens Mark M, Kimmerling Robert J, Olcum Selim, Vacha Madeleine, LaBella Rachel, Minnah Anthony, Katsis Katelin, Fujii Juanita, Shaheen Zayna, Sundaresan Srividya, Criscitiello Joseph, Niesvizky Ruben, Raje Noopur, Branagan Andrew, Krishnan Amrita, Jagannath Sundar, Parekh Samir, Sperling Adam S, Rosenbaum Cara A, Munshi Nikhil, Luskin Marlise R, Tamrazi Anobel, Reid Clifford A
| 期刊: | Jco Precision Oncology | 影响因子: | 5.600 |
| 时间: | 2024 | 起止号: | 2024 Jan;8:e2300349 |
| doi: | 10.1200/PO.23.00349 | ||
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