Immunologic alterations in the pancreatic cancer microenvironment of patients treated with neoadjuvant chemotherapy and radiotherapy

Matthew R. Farren, Layal Sayegh, Michael Brandon Ware, Hsiao Rong Chen, Jingjing Gong, Yan Liang, Alyssa Krasinskas, Shishir K. Maithel, Mohammad Zaidi, Juan M. Sarmiento, David Kooby, Pretesh Patel, Bassel El-Rayes, Walid Shaib*, Gregory B. Lesinski

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

Pancreatic ductal adenocarcinoma (PDAC) has dismal 5-year survival (<9%). We hypothesize that exposure of tumors to conventional therapies may preferentially modulate immune biomarkers in the tumor microenvironment in PDAC. PDAC patients who underwent upfront surgical resection or who received neoadjuvant FOLFIRINOX with or without neoadjuvant radiotherapy followed by surgical resection were selected for study. Total expression of immunologically relevant transcripts and spatially resolved expression of immunologically relevant proteins was quantitated using multiplexed methods (NanoString nCounter and GeoMX platforms). This analysis identified numerous differentially expressed transcripts associated with the type of neoadjuvant therapy received. Moreover, we identified significant alterations in the expression and/or spatial distribution of immunologically relevant proteins in different regions (tumor cell rich, immune cell rich, stromal cell rich) of the tumor microenvironment. These data provide insight into the immunological effects of clinically relevant neoadjuvant therapy for resectable/borderline-resectable PDAC by describing significant differences in the expression of key immunologic biomarkers within the PDAC microenvironment that were associated with the type of treatment patients received prior to surgical resection. This represents a comprehensive analysis of numerous biomarkers conducted on the PDAC microenvironment. This work may guide strategic new combination therapies for pancreatic cancer.

Original languageEnglish (US)
Article numbere130362
JournalJCI Insight
Volume5
Issue number1
DOIs
StatePublished - Jan 16 2020

Funding

This work was funded in part by in-kind grant support (materials and lab services) from NanoString Inc. as well as research funds from the Hirshberg Foundation and NIH grants R01 CA208253 and R01228406. We would like to acknowledge the contribution of the EIGC, which is subsidized by the Emory University School of Medicine and is one of the Emory Integrated Core Facilities. Research reported in this publication was supported in part by the EIGC Shared Resource and the Biostatistics and Bioinformatics Shared Resource of Winship Cancer Institute of Emory University and NIH/National Cancer Institute under award P30CA138292. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

ASJC Scopus subject areas

  • General Medicine

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