Credit: Thomas Ried, NCI Center for Cancer Research, National Cancer Institute, National Institutes of Health
Researchers have used a new machine learning and protein profiling system to identify vulnerabilities in glioblastomas and to assess immune checkpoint blockade treatment effectiveness.
Neoadjuvant immune checkpoint blockade (ICB) is a promising treatment for melanoma and other cancer types, and has recently been shown to provide a modest survival benefit for patients with recurrent glioblastoma. To improve the treatment efficacy, researchers are looking for vulnerabilities in surgically removed glioblastoma tissues, but this has been difficult due to the vast differences within the tumours and between patients.
To tackle this problem, researchers at Institute for Systems Biology (ISB) and their collaborators developed a new way to study tumours. The method builds mathematical models using machine learning-based image analysis and multiplex spatial protein profiling of microscopic compartments in the tumour.
The team used this approach to analyse and compare tumour tissues gathered from 13 patients with recurrent glioblastoma and 23 patients with high-risk melanoma. Both groups had been treated with neoadjuvant ICB. Using melanoma to guide the interpretation of glioblastoma analyses, they were able to identify the proteins that correlate with tumour-killing T cells, tumour growth, and immune cell-cell interactions.
Co-lead author Dr Yue Lu described the research : “This work reveals similarities shared between glioblastoma and melanoma, immunosuppressive factors that are unique to the glioblastoma microenvironment, and potential co-targets for enhancing the efficacy of neoadjuvant immune checkpoint blockade.”
“This framework can be used to uncover pathophysiological and molecular features that determine the effectiveness of immunotherapies,” added Dr Alphonsus Ng, co-lead author of the paper.
ISB, UCLA and MD Anderson collaborated on the study, the findings of which were published in Nature Communications. Brain cancer represents one of the toughest settings for immunotherapy success. Collaboration between scientists and clinicians provides a great opportunity for improving patient care and achieving a deep understanding of cancer immunotherapy.
“We believe that the integrated biological, clinical and methodological insights derived from comparing two classes of tumors widely seen as at the opposite ends of the spectrum with respect to immunotherapy treatments should be of interest to broad scientific and clinical audiences,” said corresponding author and ISB President, Dr Jim Heath.
Source: PRWeb
Journal information: Yue Lu et al, Resolution of tissue signatures of therapy response in patients with recurrent GBM treated with neoadjuvant anti-PD1, Nature Communications (2021). DOI: 10.1038/s41467-021-24293-4
