Unknown

Dataset Information

0

Effect of genetic profiling on prediction of therapeutic resistance and survival in adult acute myeloid leukemia.

ABSTRACT:

SUBMITTER: Walter RB 

PROVIDER: S-EPMC4573365 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

Json Xml
altmetric image

Publications

Effect of genetic profiling on prediction of therapeutic resistance and survival in adult acute myeloid leukemia.

Walter R B RB   Othus M M   Paietta E M EM   Racevskis J J   Fernandez H F HF   Lee J-W JW   Sun Z Z   Tallman M S MS   Patel J J   Gönen M M   Abdel-Wahab O O   Levine R L RL   Estey E H EH  

Leukemia 20150316 10

Similar Datasets

Unknown Survival prediction in acute myeloid leukemia using gene expression profiling.
| S-EPMC8892720 | biostudies-literature
Unknown Deciphering the Therapeutic Resistance in Acute Myeloid Leukemia.
| S-EPMC7697160 | biostudies-literature
Unknown Integrating clinical features with genetic factors enhances survival prediction for adults with acute myeloid leukemia.
| S-EPMC7252562 | biostudies-literature
Unknown Prediction of survival with intensive chemotherapy in acute myeloid leukemia.
| S-EPMC11915495 | biostudies-literature
Unknown Prognostic relevance of integrated genetic profiling in acute myeloid leukemia.
| S-EPMC3545649 | biostudies-literature
Unknown Gene expression profiling of adult acute myeloid leukemia identifies novel biologic clusters for risk classification and outcome prediction.
| S-EPMC1895492 | biostudies-literature
Unknown HAG regimen improves survival in adult patients with hypocellular acute myeloid leukemia.
| S-EPMC4823132 | biostudies-literature
Unknown Effect of measurable ('minimal') residual disease (MRD) information on prediction of relapse and survival in adult acute myeloid leukemia.
| S-EPMC5053842 | biostudies-literature
Unknown Integrated genomic profiling, therapy response, and survival in adult acute myelogenous leukemia.
| S-EPMC4417381 | biostudies-literature
Unknown Prediction of molecular subtypes in acute myeloid leukemia based on gene expression profiling.
| S-EPMC2625407 | biostudies-literature