Chemotherapy-induced neutropenia during adjuvant treatment for cervical cancer patients: development and validation of a prediction model.

ABSTRACT:

Unlabelled

An artificial neuron network (ANN) model combining both the genetic risk factors and clinical factorsmay be effective in prediction of chemotherapy-induced adverse events.

Purpose

To identify genetic factors and clinical factors associated with bone marrow suppression in cervical cancer patient, and to build a model for chemotherapy-induced neutropenia prediction.

Methods

We performed a genome wide association study on a cohort to identify genetic determinants. Samples were genotyped using the Axiom CHB 1.0. The primary analyses focused on the scan of 657178 single-nucleotide polymorphisms (SNPs). Artificial neural network were used to integrating clinical factors and genetic factors to predict the occurrence of neutropenia.

Results

32 variants assoc

SUBMITTER: Huang K 

PROVIDER: S-EPMC4565260 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature