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- Open Access
Multispectral imaging and objective assessment of immune-tumor interactions in non-small cell lung cancer
© Ballesteros-Merino et al. 2015
Published: 4 November 2015
Lung cancer is currently the most common cause of cancer-related death in the world and approximately 85% of all lung cancers are non-small cell lung cancer (NSCLC). Previous studies have shown that patients with NSCLC containing high densities of CD8+ memory T cells have a survival advantage. Others have identified an association between relatively high numbers of regulatory T cells and poor prognosis. Our group is interested in better characterizing the immune infiltrates and refining prognostic biomarkers that identify patients at risk of recurrence. Recent advances in multispectral imaging provide an opportunity to evaluate up to 7 markers in a single 4 micron section of formalin-fixed paraffin-embedded (FFPE) tissue. Using this technology, we reported that a high ratio of CD8:FoxP3 at the tumor correlated with the ability to isolate tumor-specific T cells from melanomas (Feng et al., submitted). This determination could be further improved by incorporating the ratio of CD8:PD-L1 present in the tumor into the evaluation. Now we are applying these same strategies to the study of NSCLC. Initial analyses have been performed on more than 450 tumor cores from 77 patients with Stage 3A/3B/4 NSCLC and included the following markers: CD3, CD8, FoxP3, CD163 and PD-L1. Additional markers are being evaluated. Ultimately, we expect that this approach could be used to stratify patients for clinical trials. We anticipate that some biomarkers will identify suppressive pathways and be associated with a short progression-free survival. While we expect there will be heterogeneity in escape mechanisms, identification of a specific mechanism could be used to tailor therapy with an agent or agents to overcome the specific immune suppressive pathway operational in that specific tumor. Patients who lack evidence for a specific suppressive pathway would be randomized to treatment with combination immunotherapy that includes a cancer vaccine.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.