Eliminating hypoxic tumor cells improves response to PARP inhibitors in homologous recombination-deficient cancer models.
Eliminating hypoxic tumor cells improves response to PARP inhibitors in homologous recombination-deficient cancer models.
复制标题
消除缺氧肿瘤细胞可改善同源重组缺陷癌症模型对 PARP 抑制剂的反应。
DOI:
10.1172/jci146256
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Giaccia,AmatoJ
中科院分区:
文献类型:
--
作者:
Mehibel,Manal;Xu,Yu;Li,CaiyunG;Moon,EuiJung;Thakkar,KaushikN;Diep,AnhN;Kim,RyanK;Bloomstein,JoshuaD;Xiao,Yiren;Bacal,Julien;Saldivar,JoshuaC;Le,Quynh-Thu;Cimprich,KarleneA;Rankin,ErinnB;Giaccia,AmatoJ
Hypoxia, a hallmark feature of the tumor microenvironment, causes resistance to conventional chemotherapy, but was recently reported to synergize with poly(ADP-ribose) polymerase inhibitors (PARPis) in homologous recombination–proficient (HR-proficient) cells through suppression of HR. While this synergistic killing occurs under severe hypoxia (<0.5% oxygen), our study shows that moderate hypoxia (2% oxygen) instead promotes PARPi resistance in both HR-proficient and -deficient cancer cells. Mechanistically, we identify reduced ROS-induced DNA damage as the cause for the observed resistance. To determine the contribution of hypoxia to PARPi resistance in tumors, we used the hypoxic cytotoxin tirapazamine to selectively kill hypoxic tumor cells. We found that the selective elimination of hypoxic tumor cells led to a substantial antitumor response when used with PARPi compared with that in tumors treated with PARPi alone, without enhancing normal tissue toxicity. Since human breast cancers with BRAC1/2 mutations have an increased hypoxia signature and hypoxia reduces the efficacy of PARPi, then eliminating hypoxic tumor cells should enhance the efficacy of PARPi therapy.
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DOI:
10.1056/nejmra0809889
发表时间:
2010-05-20
期刊:
The New England journal of medicine
影响因子:
--
作者:
D'Andrea AD
通讯作者:
D'Andrea AD
影响因子:
45.3
作者:
Harvey, Vernon;Mouridsen, Henning;Cold, Soeren
通讯作者:
Cold, Soeren
影响因子:
16
作者:
Adamo, Adele;Collis, Spencer J.;La Volpe, Adriana
通讯作者:
La Volpe, Adriana
影响因子:
11.2
作者:
Chan, Norman;Koritzinsky, Marianne;Bristow, Robert G.
通讯作者:
Bristow, Robert G.
影响因子:
10.5
作者:
Chan, DW;Chen, BPC;Chen, DJ
通讯作者:
Chen, DJ