Gene Expression Profiling and PRAME Status Versus Tumor-Node-Metastasis Staging for Prognostication in Uveal Melanoma.
Gene Expression Profiling and PRAME Status Versus Tumor-Node-Metastasis Staging for Prognostication in Uveal Melanoma.
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DOI:
10.1016/j.ajo.2018.07.045
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发表时间:
2018-11
影响因子:
4.2
通讯作者:
Harbour JW
中科院分区:
文献类型:
--
作者:
Cai L;Paez-Escamilla M;Walter SD;Tarlan B;Decatur CL;Perez BM;Harbour JW
To compare the prognostic accuracy of gene expression profiling (GEP) combined with PRAME status versus the clinical Tumor-Node-Metastasis (TNM) staging in patients with uveal melanoma (UM). Retrospective cohort study. The study included 240 consecutive patients with UM. Tumors were assessed for GEP status (Class 1 or Class 2) using a validated 15-gene assay, and FRAME expression status using quantitative PCR. TNM staging was according to the American Joint Committee on Cancer (AJCC) 8th edition. Statistical analysis included univariate and multivariate Cox proportional hazard models. Metastasis was the primary endpoint. GEP was Class 1 in 128 (53.3%) cases, and Class 2 in 112 (46.7%) cases. PRAME status was negative in 157 (65.4%) cases and positive in 83 (34.6%) cases. TNM was stage I in 26 (10.8%) cases, IIA in 67 (27.9%) cases, IIB in 50 (20.8%) cases, IIIA in 59 (24.6%) cases and IIIB in 38 (15.8%) cases. Metastatic disease was detected in 59 (24.6%) cases after median follow-up of 29 months (mean 42 months; range 1–195 months). Variables associated with metastasis included (in order of decreasing significance): GEP class (P=1.5 × 10−8), largest basal tumor diameter (P=2.5 × 10−6), PRAME status (P=2.6 × 10−6), and TNM stage (P=3.7 × 10−6). The prognostic accuracy of an optimized 3-category GEP/PRAME model (P = 8.6 × 10−14) was superior to an optimized TNM model (P = 1.3 × 10−5). In UM, molecular prognostic testing using GEP and FRAME provides prognostic accuracy that is superior to TNM staging.
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DOI:
10.1126/science.1194472
发表时间:
2010-12-03
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Harbour JW;Onken MD;Roberson ED;Duan S;Cao L;Worley LA;Council ML;Matatall KA;Helms C;Bowcock AM
通讯作者:
Bowcock AM
影响因子:
8.1
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Harbour JW
影响因子:
30.8
作者:
Harbour, J. William;Roberson, Elisha D. O.;Anbunathan, Hima;Onken, Michael D.;Worley, Lori A.;Bowcock, Anne M.
通讯作者:
Bowcock, Anne M.
影响因子:
13.7
作者:
Valsecchi, Matias E.;Orloff, Marlana;Sato, Takami
通讯作者:
Sato, Takami
DOI:
10.1158/1078-0432.ccr-15-2071
发表时间:
2016-03-01
期刊:
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子:
--
作者:
Field MG;Decatur CL;Kurtenbach S;Gezgin G;van der Velden PA;Jager MJ;Kozak KN;Harbour JW
通讯作者:
Harbour JW