AI Article Synopsis

  • The study evaluated the effectiveness of precision medicine tumor boards (PTBs) in recommending targeted treatments (TT) for ovarian cancer patients, analyzing data from 44 cases over four years.
  • A high percentage (86%) of patients showed genetic alterations, with the most common being p53 mutations, leading to TT recommendations for 70% of patients.
  • Despite these recommendations, only 39% of patients actually received the therapy, with a median treatment failure time of 2.7 months, highlighting challenges in applying TT due to patients' poor overall health.

Article Abstract

Background: Treating cancer according to its molecular alterations (i.e., targeted treatment, TT) is the goal of precision medicine tumor boards (PTBs). Their clinical applicability has been evaluated for ovarian cancer patients in this analysis.

Methods: All consecutive ovarian cancer patients discussed in a PTB at the Medical University of Vienna, Austria, from April 2015 to April 2019 were included ( = 44).

Results: In 38/44 (86%) cases, at least one mutation, deletion or amplification was detected. The most frequently altered genes were p53 (64%), PI3K pathway (18%), KRAS (14%), BRCA1 (11%) and BRCA2 (2%). In 31 patients (70%) a TT was recommended. A total of 12/31 patients (39%) received the recommended therapy. Median time from indication for PTB to TT start was 65 days (15-216). Median time to treatment failure was 2.7 months (0.2-13.2). Clinical benefit rate (CBR) was 42%. Reasons for treatment discontinuation were disease progression (42%), poor performance status (PS > 2; 25%), death (17%) or treatment related side effects (8%). In 61% the TT was not administered-mainly due to PS > 2.

Conclusion: Even though a TT recommendation can be derived frequently, clinical applicability remains limited due to poor patients' general condition after exploitation of standard treatment. However, we observed antitumor activity in a substantial number of heavily pretreated patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139570PMC
http://dx.doi.org/10.3390/cancers12030548DOI Listing

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