A molecular signature for the prediction of recurrence in colorectal cancer.
A molecular signature for the prediction of recurrence in colorectal cancer.
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DOI:
10.1186/s12943-015-0296-2
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发表时间:
2015-02-03
期刊:
影响因子:
37.3
通讯作者:
Du X
中科院分区:
文献类型:
--
作者:
Wang L;Shen X;Wang Z;Xiao X;Wei P;Wang Q;Ren F;Wang Y;Liu Z;Sheng W;Huang W;Zhou X;Du X
Several clinical and pathological factors have an impact on the prognosis of colorectal cancer (CRC), but they are not yet adequate for risk assessment. We aimed to identify a molecular signature that can reliably identify CRC patients at high risk for recurrence. Two hundred eighty-one CRC samples (stage II/III) were included in this study. A two-step gene expression profiling study was conducted. First, gene expression measurements from 81 fresh frozen CRC samples were obtained using Affymetrix Human Genome U133 Plus 2.0 Arrays. Second, a focused gene expression assay, including prognostic genes and genes of interest from literature reviews, was performed using 200 fresh frozen samples and a Taqman low-density array (TLDA) analysis. An optimal 31-gene expression classifier for the prediction of recurrence among patients with stage II/III CRC was developed using logistic regression analysis. This gene expression signature classified 58.5% of patients as low-risk and 41.5% as high-risk (P < 0.001). The signature was the strongest independent prognostic factor in the multivariate analysis. The five-year relapse-free survival (RFS) rates for the low-risk patients and the high-risk patients were 88.5% and 41.3% (P < 0.001), respectively. We identified a 31-gene expression signature that is closely associated with the clinical outcome of stage II/III CRC patients.
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影响因子:
24.5
作者:
Pritchard CC;Grady WM
通讯作者:
Grady WM
DOI:
10.1158/1078-0432.ccr-11-2483
发表时间:
2012-04-01
期刊:
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子:
--
作者:
Garcia I;Mayol G;Ríos J;Domenech G;Cheung NK;Oberthuer A;Fischer M;Maris JM;Brodeur GM;Hero B;Rodríguez E;Suñol M;Galvan P;de Torres C;Mora J;Lavarino C
通讯作者:
Lavarino C
影响因子:
24.5
作者:
Hur K;Toiyama Y;Takahashi M;Balaguer F;Nagasaka T;Koike J;Hemmi H;Koi M;Boland CR;Goel A
通讯作者:
Goel A
影响因子:
6.4
作者:
Hilska, Marja;Roberts, Peter J.;Laato, Matti
通讯作者:
Laato, Matti
影响因子:
7.5
作者:
Haffner, Michael C.;Laimer, Johannes;Bander, Neil H.
通讯作者:
Bander, Neil H.