Identification of Novel Biomarkers in Pancreatic Tumor Tissue to Predict Response to Neoadjuvant Chemotherapy

TY - JOUR

T1 - Identification of Novel Biomarkers in Pancreatic Tumor Tissue to Predict Response to Neoadjuvant Chemotherapy

AU - Sahni, Sumit

AU - Nahm, Christopher

AU - Krisp, Christoph

AU - Molloy, Mark P

AU - Mehta, Shreya

AU - Maloney, Sarah

AU - Itchins, Malinda

AU - Pavlakis, Nick

AU - Clarke, Stephen

AU - Chan, David

AU - Gill, Anthony J

AU - Howell, Viive M

AU - Samra, Jaswinder

AU - Mittal, Anubhav

N1 - Copyright © 2020 Sahni, Nahm, Krisp, Molloy, Mehta, Maloney, Itchins, Pavlakis, Clarke, Chan, Gill, Howell, Samra and Mittal.

PY - 2020

Y1 - 2020

N2 - Background: Neoadjuvant chemotherapy (NAC) has been of recent interest as an alternative to upfront surgery followed by adjuvant chemotherapy in patients with pancreatic ductal adenocarcinoma (PDAC). However, a subset of patients does not respond to NAC and may have been better managed by upfront surgery. Hence, there is an unmet need for accurate biomarkers for predicting NAC response in PDAC. We aimed to identify upregulated proteins in tumor tissue from poor- and good-NAC responders. Methods: Tumor and adjacent pancreas tissue samples were obtained following surgical resection from NAC-treated PDAC patients. SWATH-MS proteomic analysis was performed to identify and quantify proteins in tissue samples. Statistical analysis was performed to identify biomarkers for NAC response. Pathway analysis was performed to characterize affected canonical pathways in good- and poor-NAC responders. Results: A total of 3,156 proteins were identified, with 19 being were significantly upregulated in poor-responders compared to good-responders (log2 ratio > 2, p < 0.05). Those with the greatest ability to predict poor-NAC response were GRP78, CADM1, PGES2, and RUXF. Notably, canonical pathways that were significantly upregulated in good-responders included acute phase signaling and macrophage activation, indicating a heightened immune response in these patients. Conclusion: A novel biomarker signature for poor-NAC response in PDAC was identified.

AB - Background: Neoadjuvant chemotherapy (NAC) has been of recent interest as an alternative to upfront surgery followed by adjuvant chemotherapy in patients with pancreatic ductal adenocarcinoma (PDAC). However, a subset of patients does not respond to NAC and may have been better managed by upfront surgery. Hence, there is an unmet need for accurate biomarkers for predicting NAC response in PDAC. We aimed to identify upregulated proteins in tumor tissue from poor- and good-NAC responders. Methods: Tumor and adjacent pancreas tissue samples were obtained following surgical resection from NAC-treated PDAC patients. SWATH-MS proteomic analysis was performed to identify and quantify proteins in tissue samples. Statistical analysis was performed to identify biomarkers for NAC response. Pathway analysis was performed to characterize affected canonical pathways in good- and poor-NAC responders. Results: A total of 3,156 proteins were identified, with 19 being were significantly upregulated in poor-responders compared to good-responders (log2 ratio > 2, p < 0.05). Those with the greatest ability to predict poor-NAC response were GRP78, CADM1, PGES2, and RUXF. Notably, canonical pathways that were significantly upregulated in good-responders included acute phase signaling and macrophage activation, indicating a heightened immune response in these patients. Conclusion: A novel biomarker signature for poor-NAC response in PDAC was identified.

U2 - 10.3389/fonc.2020.00237

DO - 10.3389/fonc.2020.00237

M3 - SCORING: Journal article

C2 - 32195182

VL - 10

SP - 237

JO - FRONT ONCOL

JF - FRONT ONCOL

SN - 2234-943X

ER -