Prospective Validation of an Ex Vivo, Patient-Derived 3D Spheroid Model for Response Predictions in Newly Diagnosed Ovarian Cancer

Scientific Reports
Stephen ShufordTeresa M DesRochers

Abstract

Although 70-80% of newly diagnosed ovarian cancer patients respond to first-line therapy, almost all relapse and five-year survival remains below 50%. One strategy to increase five-year survival is prolonging time to relapse by improving first-line therapy response. However, no biomarker today can accurately predict individual response to therapy. In this study, we present analytical and prospective clinical validation of a new test that utilizes primary patient tissue in 3D cell culture to make patient-specific response predictions prior to initiation of treatment in the clinic. Test results were generated within seven days of tissue receipt from newly diagnosed ovarian cancer patients obtained at standard surgical debulking or laparoscopic biopsy. Patients were followed for clinical response to chemotherapy. In a study population of 44, the 32 test-predicted Responders had a clinical response rate of 100% across both adjuvant and neoadjuvant treated populations with an overall prediction accuracy of 89% (39 of 44, p < 0.0001). The test also functioned as a prognostic readout with test-predicted Responders having a significantly increased progression-free survival compared to test-predicted Non-Responders, p = 0.01. This corre...Continue Reading

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Citations

Jun 11, 2020·Biotechnology Progress·Larissa B TofaniKamilla Swiech
Sep 10, 2020·International Journal of Molecular Sciences·Daniel T DotyJeffrey T Borenstein
Jan 6, 2021·International Journal of Molecular Sciences·Tanya SinghSanaz Memarzadeh

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Methods Mentioned

BETA
biopsy
surgical resection

Software Mentioned

ProgRes CapturePro
KIYATEC
Graphpad Prism

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