Cellular Mass Response to Therapy Correlates With Clinical Response for a Range of Malignancies

Mark M Stevens1, Robert J Kimmerling1, Selim Olcum1

  • 1Travera, Medford, MA.

JCO Precision Oncology
|January 18, 2024
PubMed
Abstract

Insights

Cell mass-based response testing (MRT) accurately predicts cancer patient drug sensitivity, showing high concordance with clinical outcomes. This ex vivo approach is feasible for broad clinical application in various cancer types.

Area of Science:

  • Oncology
  • Precision Medicine
  • Biotechnology

Background:

  • Advanced-stage cancer patients often have limited treatment options and poor prognoses.
  • Genomics-based therapies benefit only a subset of cancer patients.
  • Ex vivo drug response testing offers a potential precision medicine approach for a wider patient population.

Purpose of the Study:

  • To evaluate the clinical feasibility and accuracy of live-cell mass-based response testing (MRT) for predicting patient drug sensitivity.
  • To assess the potential impact of MRT as a precision medicine tool in oncology.

Main Methods:

  • A unified workflow was used for live-cell MRT with a 48-hour turnaround time.
  • 104 patients with solid and hematologic malignancies provided various tissue samples (biopsies, fluids, aspirates, blood).
  • Clinical responses were correlated with in vitro MRT predictions for physician-selected therapies.

Main Results:

  • MRT demonstrated high concordance with clinical responses (OR = 14.80, P = .0003).
  • The test showed high predictive accuracy of 80% (P = .0026).
  • Performance was consistent across solid (OR = 20.67) and hematologic (OR = 8.20) malignancies.

Conclusions:

  • Mass-based response testing (MRT) shows a highly significant correlation with clinical response to cancer therapy.
  • The routine clinical use of MRT is technically feasible and broadly applicable across diverse samples and malignancy types.
  • Future validation studies are warranted to support the integration of MRT into clinical practice.

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