Supplementary Material for: Dynamic profiling of the immune tumor microenvironment in locally advanced gastric cancer treated with perioperative chemotherapy

Introduction: In locally advanced gastric cancer (GC), FLOT represents the standard perioperative regimen and combination with immunotherapy is under investigation. However, the role of immune tumor microenvironment (TME) is poorly recognized in this setting. We aimed to study TME characteristics an...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: R. Newman, Donna, Manatschal, Anita, Bernauer, Julian, 0a962e32-1067-11e5-9b34-35db60b77aeb, John, Cheng, Jie, Prescott, Mark, 0ac106f2-1067-11e5-9b34-35db60b77aeb, John, Vidya Chaparala, Sree, Raj, Abhijeet, Ho Chung, Suk, Lamige, Sylvain, M. Lyons, Kevin, Galizzi, Cédric, Kühni, Manuel, Mathieu, Éric, 1ded118a-ed49-11e4-8710-1187db1331d4, John, Felipe M. Prota, Luiz
Format: Dataset
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Introduction: In locally advanced gastric cancer (GC), FLOT represents the standard perioperative regimen and combination with immunotherapy is under investigation. However, the role of immune tumor microenvironment (TME) is poorly recognized in this setting. We aimed to study TME characteristics and dynamics during FLOT. Methods: Paired biopsy (PRE) and surgical (POST) samples of 25 patients treated with FLOT were prospectively analyzed. After collection of clinic-pathological data, NanoString analyses were performed. The primary objective of the study was to assess the changes induced by chemotherapy in POST compared to PRE samples. Results: The unsupervised hierarchical method analysis clearly distinguished PRE and POST samples, even though some cases showed high immune gene expression at baseline. When POST samples were compared with PRE, a differential expression in hyper-expressed gene sets related to cytotoxicity, T-cell functions, complement system, tumor necrosis factor-superfamily, cell cycle and regulation was recognized. Downstaging of the primary tumor (T-regression, measured by pathologic compared to clinical T stage) was the covariate most frequently associated with these changes. Using the immune cell profiling, cases with T-regression reported a significant increase of T, CD8+ T and B-cells and a decrease in mast cells, while non-responders demonstrated an increase of T, B, cytotoxic and mast cells. Conclusion: Our analysis shows that FLOT significantly influences immune TME of GC. While relevant modifications preferentially occur in tumors showing primary tumor regression, response to treatment seems to be associated with a specific immune profile.
DOI:10.6084/m9.figshare.23254799