Predictive Value of the TP53/PIK3CA/ATM Mutation Classifier for Patients With Bladder Cancer Responding to Immune Checkpoint Inhibitor Therapy.
Predictive Value of the TP53/PIK3CA/ATM Mutation Classifier for Patients With Bladder Cancer Responding to Immune Checkpoint Inhibitor Therapy.
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TP53/PIK3CA/ATM 突变分类器对免疫检查点抑制剂治疗有反应的膀胱癌患者的预测价值
DOI：
10.3389/fimmu.2021.643282
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发表时间：
2021
影响因子：
7.3
通讯作者：
Luo JH
中科院分区：
文献类型：
--
作者：
Pan YH;Zhang JX;Chen X;Liu F;Cao JZ;Chen Y;Chen W;Luo JH
Only a proportion of patients with bladder cancer may benefit from durable response to immune checkpoint inhibitor (ICI) therapy. More precise indicators of response to immunotherapy are warranted. Our study aimed to construct a more precise classifier for predicting the benefit of immune checkpoint inhibitor therapy. This multi-cohort study examined the top 20 frequently mutated genes in five cohorts of patients with bladder cancer and developed the TP53/PIK3CA/ATM mutation classifier based on the MSKCC ICI cohort. The classifier was then validated in a validation set consisting of IMvigor210 cohort and Broad/Dana-Farber cohort. The molecular profile and immune infiltration characteristics in each subgroup as defined by this classifier were explored. Among all 881 patients with bladder cancer, the mutation frequency of TP53, PIK3CA, and ATM ranked in the top 20 mutated genes. The TP53/PIK3CA/ATM mutation classifier was constructed based on the Memorial Sloan Kettering Cancer Center (MSKCC) ICI cohort and only showed predictive value for patients with bladder cancer who received ICI therapy (median overall survival: low-risk group, not reached; moderate-risk group, 13.0 months; high-risk group, 8.0 months; P<0.0001). Similar results were found in subgroups of MSKCC ICI cohort defined by tumor mutation burden. Multivariate Cox analysis revealed that the risk group defined by the classifier served as an independent prognostic factor for overall survival in patients with bladder cancer. Efficacy of the classifier was verified in a validation set consisting of IMvigor210 cohort and Broad/Dana-Farber cohort. Lower expression of PD-1/PD-L1 and less tumor immune infiltration were observed in the high-risk group than the other two groups of the TCGA cohort and the IMvigor210 cohort. Our study constructed a TP53/PIK3CA/ATM mutation classifier to predict the benefit of immune checkpoint inhibitor therapy for patients with bladder cancer. This classifier can potentially complement the tumor mutation burden and guide clinical ICI treatment decisions according to distinct risk levels.
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影响因子：
30.8
作者：
Miao D;Margolis CA;Vokes NI;Liu D;Taylor-Weiner A;Wankowicz SM;Adeegbe D;Keliher D;Schilling B;Tracy A;Manos M;Chau NG;Hanna GJ;Polak P;Rodig SJ;Signoretti S;Sholl LM;Engelman JA;Getz G;Jänne PA;Haddad RI;Choueiri TK;Barbie DA;Haq R;Awad MM;Schadendorf D;Hodi FS;Bellmunt J;Wong KK;Hammerman P;Van Allen EM
通讯作者：
Van Allen EM
DOI：
10.1126/science.aaf1490
发表时间：
2016-03-25
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
McGranahan N;Furness AJ;Rosenthal R;Ramskov S;Lyngaa R;Saini SK;Jamal-Hanjani M;Wilson GA;Birkbak NJ;Hiley CT;Watkins TB;Shafi S;Murugaesu N;Mitter R;Akarca AU;Linares J;Marafioti T;Henry JY;Van Allen EM;Miao D;Schilling B;Schadendorf D;Garraway LA;Makarov V;Rizvi NA;Snyder A;Hellmann MD;Merghoub T;Wolchok JD;Shukla SA;Wu CJ;Peggs KS;Chan TA;Hadrup SR;Quezada SA;Swanton C
通讯作者：
Swanton C
影响因子：
12.3
作者：
Li B;Severson E;Pignon JC;Zhao H;Li T;Novak J;Jiang P;Shen H;Aster JC;Rodig S;Signoretti S;Liu JS;Liu XS
通讯作者：
Liu XS
影响因子：
17.1
作者：
Goswami, Sangeeta;Chen, Yulong;Sharma, Padmanee
通讯作者：
Sharma, Padmanee
影响因子：
56.9
作者：
Mager, Lukas F.;Burkhard, Regula;McCoy, Kathy D.
通讯作者：
McCoy, Kathy D.