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

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 correlative accuracy establishes the test's potential to benefit ovarian cancer patients through accurate prediction of patient-specific response before treatment.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Shuford S,Wilhelm C,Rayner M,Elrod A,Millard M,Mattingly C,Lotstein A,Smith AM,Guo QJ,O'Donnell L,Elder J,Puls L,Weroha SJ,Hou X,Zanfagnin V,Nick A,Stany MP,Maxwell GL,Conrads T,Sood AK,Orr D,Holmes LM,Gevaert

doi

10.1038/s41598-019-47578-7

subject

Has Abstract

pub_date

2019-08-01 00:00:00

pages

11153

issue

1

issn

2045-2322

pii

10.1038/s41598-019-47578-7

journal_volume

9

pub_type

杂志文章

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