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Abstract
In a trial of patients with high grade serous ovarian cancer (HGSOC), addition of the ATR inhibitor berzosertib to gemcitabine improved progression free survival (PFS) compared to gemcitabine alone but biomarkers predictive of treatment are lacking. Here we report a candidate biomarker of response to gemcitabine versus combined gemcitabine and ATR inhibitor therapy in HGSOC ovarian cancer. Patients with replication stress (RS)-high tumors (n = 27), defined as harboring at least one genomic RS alteration related to loss of RB pathway regulation and/or oncogene-induced replication stress achieve significantly prolonged PFS (HR = 0.38, 90% CI, 0.17–0.86) on gemcitabine monotherapy compared to those with tumors without such alterations (defined as RS-low, n = 30). However, addition of berzosertib to gemcitabine benefits only patients with RS-low tumors (gemcitabine/berzosertib HR 0.34, 90% CI, 0.13–0.86) and not patients with RS-high tumors (HR 1.11, 90% CI, 0.47–2.62). Our findings support the notion that the exacerbation of RS by gemcitabine monotherapy is adequate for lethality in RS-high tumors. Conversely, for RS-low tumors addition of berzosertib-mediated ATR inhibition to gemcitabine is necessary for lethality to occur. Independent prospective validation of this biomarker is required.
A randomized phase 2 study recently showed that the addition of ATR inhibitor berzosertib to gemcitabine improved PFS compared to gemcitabine alone in patients with ovarian cancer. In this preplanned exploratory study, the authors demonstrate that a genomic biomarker of replication-stress is associated with outcome to gemcitabine alone and may predict which patients benefit from addition of the ATR inhibitor berzosertib.
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1 Dana-Farber Cancer Institute, Department of Medical Oncology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910)
2 AC Camargo Cancer Center, Department of Medical Oncology, São Paulo, Brazil (GRID:grid.413320.7) (ISNI:0000 0004 0437 1183)
3 Department of Biomedical Informatics and Ludwig Center at Harvard, Harvard Medical School, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)
4 Department of Medical Oncology, Mayo Clinic, Rochester, USA (GRID:grid.66875.3a) (ISNI:0000 0004 0459 167X)
5 Dana-Farber Cancer Institute, Department of Radiation Oncology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910); Dana-Farber Cancer Institute, Center for DNA Damage and Repair, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910)
6 Brigham and Women’s Hospital, Department of Pathology, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294)
7 National Cancer Institute, Cancer Therapy Evaluation Program, Bethesda, USA (GRID:grid.48336.3a) (ISNI:0000 0004 1936 8075)
8 Dana-Farber Cancer Institute, Department of Radiation Oncology, Boston, USA (GRID:grid.65499.37) (ISNI:0000 0001 2106 9910)
9 University of Helsinki, Research Program in Systems Oncology, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071)