Mount Sinai researchers have found more than 4,700 gene clusters that influence the progression of 32 cancer types.
Researchers at the Mount Sinai Center for Transformative Disease Modeling have released a groundbreaking study identifying 4,749 key gene clusters, termed “prognostic modules,” that significantly influence the progression of 32 different types of cancer.
The study, published in Genome Research, lays the foundation for the development of next-generation cancer treatments and diagnostic markers.
Despite significant progress in cancer research, understanding the disease’s genetic intricacies remains challenging. Previous research often focused on isolated gene functions in specific cancer types.
“We aimed to fill this knowledge gap by providing a comprehensive analysis of gene-gene interactions across various forms of cancer,” said Dr Bin Zhang, research professor of neurogenetics and director of the Mount Sinai Center for Transformative Disease Modeling.
The team used a multi-omics approach, incorporating genomic, transcriptomic, and epigenomic data in their analysis. They employed advanced systems biology approaches to analyse more than 10,000 patient samples from The Cancer Genome Atlas (TCGA), one of the most comprehensive public cancer databases.
Rigorous network methods were then used to identify and validate the gene clusters that have a significant impact on cancer prognosis.
“The implications of our findings are profound. We have identified 4,749 distinct co-regulated gene modules that play a pivotal role in cancer progression,” said Dr Zhang.
Peng Xu PhD, instructor of genetics and genomic sciences and co-senior author, added: “Our study goes beyond merely identifying these modules. It also elucidates the multi-scale regulations that govern their functions.”
In simpler terms, the study has identified critical genes and their complex relationships that either halt or promote cancer progression.
This new understanding opens the door for targeted research and development of future treatments and diagnostic methods for cancers.
While this study represents a significant step forward, it is not an immediate cure for cancer.
However, it serves as a crucial foundation for developing targeted therapies that could lead to improved patient outcomes. “Our findings offer fertile ground for the next wave of cancer research and treatment strategies,” said Dr. Zhang.