CGE_2024v12n1

Cancer Genetics and Epigenetics 2024, Vol.12, No.1, 66-69 http://www.medscipublisher.com/index.php/cge 66 Scientific Commentary Open Access Multiplex Immunofluorescence in Colorectal Cancer: A Retrospective Analysis from SCOT and QUASAR 2 Trials JimMason Cancer Genetics and Epigenetics, MedSci Publisher, Richmond, BC, V7A 4Z5, Canada 1 Interpretation Experimental Data This study employed multiplex immunofluorescence staining to meticulously analyze immune cells and their densities within colorectal cancer tissues. Specific markers targeted included CD8+cytotoxic T cells, FoxP3+regulatory T cells, CD20+B cells, and CD68+macrophages. The process involved precise quantification of cell densities in both intraepithelial and interstitial sites. Immune markers were assessed using the HALO AI DenseNet v2 machine learning classifier, which is capable of accurately locating and quantifying immune cells in different tumor areas. The study focused on the correlation between immune cells and the patients' recurrence-free intervals, particularly highlighting the prognostic value of intraepithelial CD8+cells. It noted that including data from interstitial FoxP3+cells in the analysis provided more accurate prognostic insights, thereby enhancing the predictive power of disease prognosis "The Lancet Oncology" published an article on February 1, 2024, titled "Multiplex analysis of intratumoural immune infiltrate and prognosis in patients with stage II-III colorectal cancer from the SCOT and QUASAR 2 trials: a retrospective analysis." The authors, Anja L. Frei, Anthony McGuigan, Ritik R.A.K Sinha, David N. Church, Viktor H. Koelzer, among others, are affiliated with the University of Zurich, Wellcome Centre for Human Genetics at the Nuffield Department of Medicine, University of Oxford, and the Cancer Research UK Glasgow Clinical Trials Unit at the University of Glasgow and other units. David N. Church is the corresponding author. This research utilizes data from the SCOT and QUASAR 2 clinical trials to deeply analyze the prognostic significance of intratumoural immune cell infiltrates in stage II-III colorectal cancer. Employing advanced multiplex immunofluorescence staining techniques, the study evaluates the density of various immune cells including CD8+ cytotoxic T cells, FoxP3+regulatory T cells, CD20+B cells, and CD68+macrophages within the tumor microenvironment. The primary goal of the research is to reveal the associations between these immune cells and the patients' recurrence-free interval and overall prognosis. This method aims to optimize risk Corresponding author email: jim.mason@sophiapublisher.com Cancer Genetics and Epigenetics, 2024, Vol.12, No.1 doi: 10.5376/cge.2024.12.0008 Received: 02 Feb., 2024 Accepted: 18 Feb., 2024 Published: 25 Feb., 2024 Copyright © 2024 Mason, This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Preferred citation for this article: Mason J., 2024, Multiplex immunofluorescence in colorectal cancer: a retrospective analysis from SCOT and QUASAR 2 Trials, Cancer Genetics and Epigenetics, 12(1): 66-69 (doi: 10.5376/cge.2024.12.0008) stratification in colorectal cancer and provide guidance for personalized treatment strategies. . Figure 2 further confirms the prognostic value of CD8IE and FoxP3IS densities in colorectal cancer from the QUASAR 2 trial. Multivariate linear regression analysis reveals independent predictors including age, gender, tumor staging, and molecular characteristics. Part B, through multivariate analysis, shows that the composite markers based on CD8IE and FoxP3IS densities are associated with the risk of cancer recurrence, with adjusted hazard ratios emphasizing the importance of these markers. Part C's Kaplan-Meier curves group patients based on marker densities, displaying recurrence-free intervals for different groups, confirming risk stratification, with higher density groups having a better prognosis.

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