Summary of An Ai Based Digital Score Of Tumour-immune Microenvironment Predicts Benefit to Maintenance Immunotherapy in Advanced Oesophagogastric Adenocarcinoma, by Quoc Dang Vu et al.
An AI based Digital Score of Tumour-Immune Microenvironment Predicts Benefit to Maintenance Immunotherapy in Advanced Oesophagogastric Adenocarcinoma
by Quoc Dang Vu, Caroline Fong, Anderley Gordon, Tom Lund, Tatiany L Silveira, Daniel Rodrigues, Katharina von Loga, Shan E Ahmed Raza, David Cunningham, Nasir Rajpoot
First submitted to arxiv on: 29 Feb 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed AI-based marker successfully predicted treatment efficacy in patients with advanced Oesophagogastric Adenocarcinoma (OGA) receiving fluoropyrimidine and platinum-based chemotherapy. The study analyzed multiplex immunofluorescence (mIF) images from the PLATFORM trial to identify responders and non-responders, as well as those who could benefit from immune checkpoint inhibitors (ICI). Results showed that T cells expressing FOXP3 heavily influence treatment response and survival outcome, while higher levels of CD8+PD1+ cells are linked to poor prognosis. The study’s findings suggest potential applications for ICI in OGA patients. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Gastric and oesophageal cancers are a major cause of cancer deaths worldwide. Recent studies have shown that combining immune checkpoint inhibitors (ICI) with chemotherapy can improve patient survival. However, we don’t fully understand the immune environment in these cancers. This study used special images to analyze how patients responded to treatment. They found that a proposed AI-based marker could accurately predict who would respond well to treatment and who might benefit from ICI. The results suggest that T cells play a big role in determining treatment response, and that some patients may not do well if they have certain types of immune cells. |
