4.7 Article

Targeting the ATR/CHK1 Axis with PARP Inhibition Results in Tumor Regression in BRCA-Mutant Ovarian Cancer Models

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CLINICAL CANCER RESEARCH
卷 23, 期 12, 页码 3097-3108

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AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-16-2273

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  1. Department of Defense [OC150336]
  2. Basser Team Science
  3. [K08-CA151892-04]
  4. [1R01CA189743]

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Purpose: PARP inhibition (PARPi) has modest clinical activity in recurrent BRCA-mutant (BRCA(MUT)) high-grade serous ovarian cancers (HGSOC). We hypothesized that PARPi increases dependence on ATR/CHK1 such that combination PARPi with ATR/CHK1 blockade results in increased cell death and tumor regression. Experimental Design: Effects of PARPi (olaparib), CHK1 inhibition (CHK1i; MK8776), or ATR inhibition (ATRi; AZD6738) alone or in combination on survival, colony formation, cell cycle, genome instability, and apoptosis were evaluated in BRCA1/2(MUT) HGSOC cells. Tumor growth in vivo was evaluated using a BRCA2(MUT) patient-derived xenograft (PDX) model. Results: PARPi monotherapy resulted in a decrease in BRCA(MUT) cell survival, colony formation and suppressed but did not eliminate tumor growth at the maximum tolerated dose(MTD) in a BRCA2(MUT) PDX. PARPi treatment increased pATR and pCHK1, indicating activation of the ATR-CHK1 fork protection pathway is relied upon for genome stability under PARPi. Indeed, combination of ATRi orCHK1i with PARPi synergistically decreased survival and colony formation compared with single-agent treatments in BRCA(MUT) cells. Notably, PARPi led to G2 phase accumulation, and the addition of ATRi or CHK1i released cells from G2 causing premature mitotic entry with increased chromosomal aberrations and apoptosis. Moreover, the combinations of PARPi with ATRi or CHK1i were synergistic in causing tumor suppression in a BRCA2(MUT) PDX with the PARPi-ATRi combination inducing tumor regression and in most cases, complete remission. Conclusions: PARPi causes increased reliance on ATR/CHK1 for genome stability, and combination PARPi with ATR/CHK1i is more effective than PARPi alone in reducing tumor burden in BRCA(MUT) models. (C) 2016 AACR.

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