Unknown

Dataset Information

0

Prognostic nomogram for previously untreated adult patients with acute myeloid leukemia.


ABSTRACT: This study was designed to perform an acceptable prognostic nomogram for acute myeloid leukemia. The clinical data from 311 patients from our institution and 165 patients generated with Cancer Genome Atlas Research Network were reviewed. A prognostic nomogram was designed according to the Cox's proportional hazard model to predict overall survival (OS). To compare the capacity of the nomogram with that of the current prognostic system, the concordance index (C-index) was used to validate the accuracy as well as the calibration curve. The nomogram included 6 valuable variables: age, risk stratifications based on cytogenetic abnormalities, status of FLT3-ITD mutation, status of NPM1 mutation, expression of CD34, and expression of HLA-DR. The C-indexes were 0.71 and 0.68 in the primary and validation cohort respectively, which were superior to the predictive capacity of the current prognostic systems in both cohorts. The nomogram allowed both patients with acute myeloid leukemia and physicians to make prediction of OS individually prior to treatment.

SUBMITTER: Zheng Z 

PROVIDER: S-EPMC5342098 | biostudies-other | 2016 Nov

REPOSITORIES: biostudies-other

altmetric image

Publications

Prognostic nomogram for previously untreated adult patients with acute myeloid leukemia.

Zheng Zhuojun Z   Li Xiaodong X   Zhu Yuandong Y   Gu Weiying W   Xie Xiaobao X   Jiang Jingting J  

Oncotarget 20161101 44


This study was designed to perform an acceptable prognostic nomogram for acute myeloid leukemia. The clinical data from 311 patients from our institution and 165 patients generated with Cancer Genome Atlas Research Network were reviewed. A prognostic nomogram was designed according to the Cox's proportional hazard model to predict overall survival (OS). To compare the capacity of the nomogram with that of the current prognostic system, the concordance index (C-index) was used to validate the acc  ...[more]

Similar Datasets

| S-EPMC8427751 | biostudies-literature
| S-EPMC3743845 | biostudies-literature
| S-EPMC2700131 | biostudies-literature
| S-EPMC4368775 | biostudies-literature
| S-EPMC8364394 | biostudies-literature