Molecular Subsets in Renal Cancer Determine Outcome to Checkpoint and Angiogenesis Blockade.
Molecular Subsets in Renal Cancer Determine Outcome to Checkpoint and Angiogenesis Blockade.
复制标题
肾癌中的分子亚群确定了检查点和血管生成阻滞的结果。
DOI:
10.1016/j.ccell.2020.10.011
复制
发表时间:
2020-12-14
期刊:
影响因子:
50.3
通讯作者:
Rini B
中科院分区:
文献类型:
--
作者:
Motzer RJ;Banchereau R;Hamidi H;Powles T;McDermott D;Atkins MB;Escudier B;Liu LF;Leng N;Abbas AR;Fan J;Koeppen H;Lin J;Carroll S;Hashimoto K;Mariathasan S;Green M;Tayama D;Hegde PS;Schiff C;Huseni MA;Rini B
Integrated multi-omics evaluation of 823 tumors from advanced renal cell carcinoma (RCC) patients identifies molecular subsets associated with differential clinical outcomes to angiogenesis blockade alone or with a checkpoint inhibitor. Unsupervised transcriptomic analysis reveals seven molecular subsets with distinct angiogenesis, immune, cell cycle, metabolism, and stromal programs. While sunitinib and atezolizumab+bevacizumab are effective in subsets with high angiogenesis, atezolizumab+bevacizumab improves clinical benefit in tumors with high T-effector and/or cell cycle transcription. Somatic mutations in PBRM1 and KDM5C associate with high angiogenesis and AMPK/Fatty acid oxidation gene expression, while CDKN2A/B and TP53 alterations associate with elevated cell cycle and anabolic metabolism. Sarcomatoid tumors exhibit lower prevalence of PBRM1 mutations and angiogenesis markers, frequent CDKN2A/B alterations, and increased PD-L1 expression. These findings can be applied to molecularly stratify patients, explain improved outcomes of sarcomatoid tumors to checkpoint blockade vs. anti-angiogenics alone, and develop personalized therapies in RCC and other indications. Motzer et al. perform integrative multi-omics analyses of 823 renal cancer tumors from a randomized clinical trial. A robust molecular classification scheme, based on transcriptional and gene alteration profiles and differential clinical outcomes to VEGF blockade alone or in combination with anti-PD-L1, informs personalized treatment strategies and future therapeutic development in RCC.
登录
查看更多内容
DOI:
10.3233/kca-160003
发表时间:
2017-07-26
期刊:
Kidney cancer (Clifton, Va.)
影响因子:
--
作者:
Carlo MI;Manley B;Patil S;Woo KM;Coskey DT;Redzematovic A;Arcila M;Ladanyi M;Lee W;Chen YB;Lee CH;Feldman DR;Hakimi AA;Motzer RJ;Hsieh JJ;Voss MH
通讯作者:
Voss MH
影响因子:
7.7
作者:
Jeong, Eutteum;Brady, Owen A.;Puertollano, Rosa
通讯作者:
Puertollano, Rosa
影响因子:
11.5
作者:
Kaelin, William G., Jr.
通讯作者:
Kaelin, William G., Jr.
影响因子:
46.9
作者:
Frampton GM;Fichtenholtz A;Otto GA;Wang K;Downing SR;He J;Schnall-Levin M;White J;Sanford EM;An P;Sun J;Juhn F;Brennan K;Iwanik K;Maillet A;Buell J;White E;Zhao M;Balasubramanian S;Terzic S;Richards T;Banning V;Garcia L;Mahoney K;Zwirko Z;Donahue A;Beltran H;Mosquera JM;Rubin MA;Dogan S;Hedvat CV;Berger MF;Pusztai L;Lechner M;Boshoff C;Jarosz M;Vietz C;Parker A;Miller VA;Ross JS;Curran J;Cronin MT;Stephens PJ;Lipson D;Yelensky R
通讯作者:
Yelensky R
影响因子:
45.3
作者:
Golshayan, Ali Reza;George, Saby;Rini, Brian I.
通讯作者:
Rini, Brian I.