TẠP CHÍ SỐ 1-TV NĂM 2019

Visualizing the dynamics of genetic profile in breast cancer treatment: A better way to explain why a drug could be repurposed: A review.

Nguyen Thanh Minh; Nguyen Thi Kim Tran; Jake Yue Chen

Tóm tắt

In this work, we further enhance our computational framework for breast cancer drug repurposing by visualizing the prospected dynamic gene expression after the treatment. Practically, the most challenging problem in drug repurposing is to prioritize the list of drugs for further in vivo validation and entering clinical trials. In drug repurposing, the possible candidate drugs could be between fifty and several hundreds, depending on different approaches for candidate selection. In contrast, due to the budget and safety constraints, a repurposing clinical trial usually contain only one or a few drugs. In a prior work, we achieved some successes in solving the prioritization problem. However, we were not able to provide detailed and easy to understand explanation on the prospected dynamic changes of the genetic information. The visualization presented in this work would help achieving this task. The complete framework of computing and visualization helps the doctor to select one repurposed strategy: Targeting ACHE gene in breast cancer for in vivo validation with promising result. * Keywords: Breast cancer; Drug; Genetics.

Abstract

In this work, we further enhance our computational framework for breast cancer drug repurposing by visualizing the prospected dynamic gene expression after the treatment. Practically, the most challenging problem in drug repurposing is to prioritize the list of drugs for further in vivo validation and entering clinical trials. In drug repurposing, the possible candidate drugs could be between fifty and several hundreds, depending on different approaches for candidate selection. In contrast, due to the budget and safety constraints, a repurposing clinical trial usually contain only one or a few drugs. In a prior work, we achieved some successes in solving the prioritization problem. However, we were not able to provide detailed and easy to understand explanation on the prospected dynamic changes of the genetic information. The visualization presented in this work would help achieving this task. The complete framework of computing and visualization helps the doctor to select one repurposed strategy: Targeting ACHE gene in breast cancer for in vivo validation with promising result. * Keywords: Breast cancer; Drug; Genetics.

BÀI VIẾT CÙNG SỐ

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