MIRS MIRS is a prognostic prediction tool

Introduction

Current scoring systems for prognostic of breast cancer are avilable but usually consider only one prognostic feature. We aim to develop a novel prognostic scoring system based on both immune-infiltration and metastasis features to not only assess the patient prognoses more accurately but also guide therapy for patients with breast cancer. Computational immune-infiltration and gene profiling analysis identified a 12-gene panel firstly characterizing immune-infiltrating and metastatic features. Neural network model yielded a precise prognostic scoring system called metastatic and immunogenomic risk score (MIRS). MIRS could effectively improve the accuracy of prognosis for patients with breast cancer. Also, MIRS is a useful webtool, which is deposited at http://Iva85.github.io/MIRS/, to help clinicians in designing personalized therapies for patients with breast cancer.

Publications

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Credits

  1. Min DENG yb87624@um.edu.mo
    Developer

    Faculty of Health Sciences, University of Macau, China

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Summary
AccessionBT007281
Tool TypeApplication
CategoryPrognostic signature prediction
PlatformsMAC OS X, Windows
TechnologiesR
User InterfaceTerminal Command Line
Input DataBAM
Latest Release1.0 (December 1, 2021)
Download Count281
Submitted ByMin DENG
Fundings

This work was supported by Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery (File no. 001/2020/ALC), the Science and Technology Development Fund, Macau Government (File no. 0020/2021/A) and Zhongnanshan Medical Foundation of Guangdong Province (grant number: ZNSA-2021016).