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
- Min DENG yb87624@um.edu.mo Developer
Faculty of Health Sciences, University of Macau, China
Community Ratings
Usability | Efficiency | Reliability | Rated By |
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Accession | BT007281 |
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Tool Type | Application |
Category | Prognostic signature prediction |
Platforms | MAC OS X, Windows |
Technologies | R |
User Interface | Terminal Command Line |
Input Data | BAM |
Latest Release | 1.0 (December 1, 2021) |
Download Count | 281 |
Submitted By | Min DENG |
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).