Stratifying And Evaluating Melanoma Treatment Response Through Scrna-seq And Two-step Deconvolution Analysis
ID U-7268
Category Diagnostics
Subcategory Biomarkers
Researchers
Brief Summary
This technology provides a method to predict melanoma response to treatment using advanced genomic sequencing and analysis.
Problem Statement
The treatment of melanoma is marred by uncertainty due to the absence of precise methods for predicting tumor responses to ICI treatments, a dire need for personalized treatment plans tailored to the tumor’s genetic profile, and the inefficiencies inherent in the prevailing trial-and-error treatment approaches.
Technology Description
A groundbreaking method for predicting the efficacy of melanoma treatments heralds a new era in personalized oncology. By harnessing the power of single-cell RNA sequencing (scRNA-seq) and a pioneering two-step deconvolution analysis, this approach enables the stratification of melanoma tumors into distinct cell subtypes. It also allows for the precise estimation of the proportion of cells exhibiting genomic signatures that could indicate their potential resistance or sensitivity to immune checkpoint inhibition (ICI) treatments. This method is not only a boon for personalized treatment planning but also catalyzes the pharmaceutical development of targeted cancer therapies. It enhances genomic sequencing services, refines clinical trial patient stratification and selection, and fosters the development of diagnostic assays rooted in scRNA-seq data, setting a new standard in the precision and effectiveness of cancer treatment strategies.
Stage of Development
Proof of Concept
Benefit
- Precise tumor stratification based on cellular genomic signatures
- Ability to predict response to ICI treatments and alternative therapies
- Enhanced personalized medicine tactics for melanoma treatment
- Improved treatment outcomes and patient stratification in clinical settings
- Reduced trial-and-error in treatment selection, potentially leading to faster and more cost-effective treatment pathways
Publications
Belote, Rachel L et al. “Human melanocyte development and melanoma dedifferentiation at single-cell resolution.” Nature cell biology vol. 23,9 (2021): 1035-1047. doi:10.1038/s41556-021-00740-8
Contact Info
Aaron Duffy
(801) 585-1377
aaron.duffy@utah.edu
