An integrated multi-omics analysis identifies prognostic molecular subtypes of non-muscle-invasive bladder cancer.
An integrated multi-omics analysis identifies prognostic molecular subtypes of non-muscle-invasive bladder cancer.
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综合多组学分析确定了非肌肉浸润性膀胱癌的预后分子亚型。
DOI:
10.1038/s41467-021-22465-w
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发表时间:
2021-04-16
影响因子:
16.6
通讯作者:
Dyrskjøt L
中科院分区:
文献类型:
--
作者:
Lindskrog SV;Prip F;Lamy P;Taber A;Groeneveld CS;Birkenkamp-Demtröder K;Jensen JB;Strandgaard T;Nordentoft I;Christensen E;Sokac M;Birkbak NJ;Maretty L;Hermann GG;Petersen AC;Weyerer V;Grimm MO;Horstmann M;Sjödahl G;Höglund M;Steiniche T;Mogensen K;de Reyniès A;Nawroth R;Jordan B;Lin X;Dragicevic D;Ward DG;Goel A;Hurst CD;Raman JD;Warrick JI;Segersten U;Sikic D;van Kessel KEM;Maurer T;Meeks JJ;DeGraff DJ;Bryan RT;Knowles MA;Simic T;Hartmann A;Zwarthoff EC;Malmström PU;Malats N;Real FX;Dyrskjøt L
The molecular landscape in non-muscle-invasive bladder cancer (NMIBC) is characterized by large biological heterogeneity with variable clinical outcomes. Here, we perform an integrative multi-omics analysis of patients diagnosed with NMIBC (n = 834). Transcriptomic analysis identifies four classes (1, 2a, 2b and 3) reflecting tumor biology and disease aggressiveness. Both transcriptome-based subtyping and the level of chromosomal instability provide independent prognostic value beyond established prognostic clinicopathological parameters. High chromosomal instability, p53-pathway disruption and APOBEC-related mutations are significantly associated with transcriptomic class 2a and poor outcome. RNA-derived immune cell infiltration is associated with chromosomally unstable tumors and enriched in class 2b. Spatial proteomics analysis confirms the higher infiltration of class 2b tumors and demonstrates an association between higher immune cell infiltration and lower recurrence rates. Finally, the independent prognostic value of the transcriptomic classes is documented in 1228 validation samples using a single sample classification tool. The classifier provides a framework for biomarker discovery and for optimizing treatment and surveillance in next-generation clinical trials. Multiple molecular profiling methods are required to study urothelial non-muscle-invasive bladder cancer (NMIBC) due to its heterogeneity. Here the authors integrate multi-omics data of 834 NMIBC patients, identifying a molecular subgroup associated with multiple alterations and worse outcomes.
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影响因子:
0.8
作者:
Gagliano A;Pironti E;Cucinotta F;Galati C;Maggio R;Alquino MA;Di Rosa G
通讯作者:
Di Rosa G
影响因子:
8.8
作者:
Dyrskjot, L.;Reinert, T.;Novoradovsky, A.;Zuiverloon, T. C. M.;Beukers, W.;Zwarthoff, E.;Malats, N.;Real, F. X.;Segersten, U.;Malmstrom, P-U;Knowles, M.;Hurst, C.;Sorge, J.;Borre, M.;Orntoft, T. F.
通讯作者:
Orntoft, T. F.
影响因子:
16.6
作者:
Blum, Yuna;Meiller, Clement;Jean, Didier
通讯作者:
Jean, Didier
DOI:
10.1126/science.1253462
发表时间:
2014-10-10
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
de Bruin EC;McGranahan N;Mitter R;Salm M;Wedge DC;Yates L;Jamal-Hanjani M;Shafi S;Murugaesu N;Rowan AJ;Grönroos E;Muhammad MA;Horswell S;Gerlinger M;Varela I;Jones D;Marshall J;Voet T;Van Loo P;Rassl DM;Rintoul RC;Janes SM;Lee SM;Forster M;Ahmad T;Lawrence D;Falzon M;Capitanio A;Harkins TT;Lee CC;Tom W;Teefe E;Chen SC;Begum S;Rabinowitz A;Phillimore B;Spencer-Dene B;Stamp G;Szallasi Z;Matthews N;Stewart A;Campbell P;Swanton C
通讯作者:
Swanton C
影响因子:
11.2
作者:
Aaboe, M;Birkenkamp-Demtroder, K;Orntoft, T
通讯作者:
Orntoft, T