Gene expression analysis of pancreatic ductal adenocarcinoma (PDAC) tumours enables clinicians to stratify patients into molecular subgroups and select treatments that are best suited to each type; however, molecular subtyping remains cost-prohibitive and is not yet part of routine cancer care.
As researchers work towards establishing whole genome and transcriptome analysis into clinical practice for cancer care, scientists at the GSC continue developing innovative laboratory methods to improve efficiency and accuracy.
Whole genome and transcriptome sequencing uncovers biomarkers predicting response to immune checkpoint inhibitors
The development of immune checkpoint inhibitors (ICI), a type of cancer therapy that helps the immune system fight tumours, was one of the most significant milestones in cancer treatment in the last decade. While ICI therapy has been used to treat different cancer types, it is not universally effective and relapsed disease occurs. A robust strategy for predicting which patients are likely to respond to ICIs is needed, enabling clinicians to select the best course of treatment for each patient.
POG researchers uncover potential biomarkers for the treatment of advanced stage breast and colorectal cancer
A framework for the management of inherited genetic variation impacting cancer patients and their families
Whole genome sequencing has revolutionized cancer treatment planning, enabling the rapid detection of DNA mutations not routinely screened for in the clinic. Until recently, however, scientists were limited in their ability to detect large structural genetic variants using short-read sequencing technology. But with the recent release of long-read sequencing instruments, cancer researchers have been eager to see what such technology could mean for precision oncology.