MTAP deficiency creates an exploitable target for antifolate therapy in 9p21-loss cancers.
Omar AlhalabiJianfeng ChenYuxue ZhangYang LuQi WangSumankalai RamachandranRebecca S Slack TidwellGuangchun HanXinmiao YanJieru MengRuiping WangAnh G HoangWei-Lien WangJian SongLidia LopezAlex Andreev-DrakhlinArlene O Siefker-RadtkeXinqiao ZhangWilliam F BenedictAmishi Yogesh ShahJennifer WangPavlos MsaouelMiao ZhangCharles C GuoBogdan CzerniakCarmen BehrensLuisa Maren Solis SotoVassiliki PapadimitrakopoulouJeff LewisWaree RinsurongkawongVadeerat RinsurongkawongJiun-Kae Jack LeeJack A RothStephen G SwisherIgnacio WistubaJohn Victor HeymachJing WangMatthew T CampbellEleni EfstathiouMark TitusChristopher L LogothetisThai H HoJianjun ZhangLinghua WangJianjun GaoPublished in: Nature communications (2022)
Methylthioadenosine phosphorylase, an essential enzyme for the adenine salvage pathway, is often deficient (MTAP def ) in tumors with 9p21 loss and hypothetically renders tumors susceptible to synthetic lethality by antifolates targeting de novo purine synthesis. Here we report our single arm phase II trial (NCT02693717) that assesses pemetrexed in MTAP def urothelial carcinoma (UC) with the primary endpoint of overall response rate (ORR). Three of 7 enrolled MTAP def patients show response to pemetrexed (ORR 43%). Furthermore, a historic cohort shows 4 of 4 MTAP def patients respond to pemetrexed as compared to 1 of 10 MTAP-proficient patients. In vitro and in vivo preclinical data using UC cell lines demonstrate increased sensitivity to pemetrexed by inducing DNA damage, and distorting nucleotide pools. In addition, MTAP-knockdown increases sensitivity to pemetrexed. Furthermore, in a lung adenocarcinoma retrospective cohort (N = 72) from the published BATTLE2 clinical trial (NCT01248247), MTAP def associates with an improved response rate to pemetrexed. Our data demonstrate a synthetic lethal interaction between MTAP def and de novo purine inhibition, which represents a promising therapeutic strategy for larger prospective trials.
Keyphrases
- small cell lung cancer
- end stage renal disease
- ejection fraction
- dna damage
- newly diagnosed
- advanced non small cell lung cancer
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- randomized controlled trial
- systematic review
- electronic health record
- stem cells
- patient reported outcomes
- machine learning
- young adults
- drug delivery
- deep learning
- artificial intelligence
- cross sectional
- cancer therapy
- epidermal growth factor receptor
- replacement therapy