Potential Predictive Immune and Metabolic Biomarkers of Tumor Microenvironment Regarding Pathological and Clinical Response in Esophageal Cancer After Neoadjuvant Chemoradiotherapy: A Systematic Review.

Autor: Wang HH; Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands., Steffens EN; Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands., Kats-Ugurlu G; Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands., van Etten B; Department of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands., Burgerhof JGM; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands., Hospers GAP; Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands., Plukker JTM; Department of Surgical Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands. j.t.m.plukker@umcg.nl.
Jazyk: angličtina
Zdroj: Annals of surgical oncology [Ann Surg Oncol] 2024 Jan; Vol. 31 (1), pp. 433-451. Date of Electronic Publication: 2023 Sep 30.
DOI: 10.1245/s10434-023-14352-z
Abstrakt: Introduction: The tumor microenvironment (TME) plays a crucial role in therapy response and modulation of immunologic surveillance. Adjuvant immunotherapy has recently been introduced in post-surgery treatment of locally advanced esophageal cancer (EC) with residual pathological disease after neoadjuvant chemoradiotherapy (nCRT). F-18 fluorodeoxyglucose positron emission tomography/computed tomography ( 18 F-FDG-PET/CT) remains a valuable imaging tool to assess therapy response and to visualize metabolic TME; however, there is still a paucity in understanding the interaction between the TME and nCRT response. This systematic review investigated the potential of TME biomarkers and 18 F-FDG-PET/CT features to predict pathological and clinical response (CR) after nCRT in EC.
Methods: A literature search of the Medline and Embase electronic databases identified 4190 studies. Studies regarding immune and metabolic TME biomarkers and 18 F-FDG-PET/CT features were included for predicting pathological response (PR) and/or CR after nCRT. Separate analyses were performed for 18 F-FDG-PET/CT markers and these TME biomarkers.
Results: The final analysis included 21 studies-10 about immune and metabolic markers alone and 11 with additional 18 F-FDG-PET/CT features. High CD8 infiltration before and after nCRT, and CD3 and CD4 infiltration after nCRT, generally correlated with better PR. A high expression of tumoral or stromal programmed death-ligand 1 (PD-L1) after nCRT was generally associated with poor PR. Moreover, total lesion glycolysis (TLG) and metabolic tumor volume (MTV) of the primary tumor were potentially predictive for clinical and PR.
Conclusion: CD8, CD4, CD3, and PD-L1 are promising immune markers in predicting PR, whereas TLG and MTV are potential 18 F-FDG-PET/CT features to predict clinical and PR after nCRT in EC.
(© 2023. The Author(s).)
Databáze: MEDLINE
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