Sentence examples for mutations can predict from inspiring English sources

58 TET2 mutations and DNMT3A mutations can predict responses to hypomethylating agents in MDS patients, 60, 61 however their predictive value is insufficient and the mutations do not predict overall survival.

Functional analysis of PNDM mutations can predict the sulfonylurea response.

It is recognised that TP53 mutations can predict poor response to tamoxifen (Berns et al, 2000).

Previous reports have established that p53 mutation data can be used as a predictive marker for cancer development in Barrett's patients (Schneider et al, 1996), and that the presence of p53 mutations can predict poor 5-year survival rates of Barrett's tumour patients postoperatively (Schneider et al, 2000).

The study will investigate whether the genetic mutation can predict the natural history of the disease and, in turn, whether this genetic diagnosis can be used to predict an individual patient outcome.

The nature of the mutation and/or its localization in the protein can sometimes impact both the inheritance model and the phenotype at the same time, so that the nature of the mutation can predict the phenotype.

It is argued that, though tissue specific, TP53 mutation status can predict tumor radiosensitivity and a patient's response to radiation therapy [ 19, 20].

Particularly, on the Cosmic2plus dataset, DX-SVMLight can identify 940 driver mutations, DX-LibSVM can identify 963 driver mutations, mRMR-RF can predict 902 driver mutations, and DX-RF predicts 892, but DX-RF method gets higher precision than DX-LibSVM, (59.91% versus 51.83%) and almost the same as DX-SVMLight.

Either the average pathway deregulation score or the number of conserved high impact mutations can better predict patient outcomes.

Grabiner, B. C. et al. A diverse array of cancer-associated MTOR mutations are hyperactivating and can predict rapamycin sensitivity.

Kohlmann, A. et al. Gene expression profiling in AML with normal karyotype can predict mutations for molecular markers and allows novel insights into perturbed biological pathways.