Baseline Plasma Inflammatory Profile Is Associated With Response to Neoadjuvant Chemotherapy in Patients With Pancreatic Adenocarcinoma
| Autor: | Alessandro Paniccia, Derek Barclay, Yoram Vodovotz, Jacob C. Hodges, Michael T. Lotze, Pranav Murthy, Amer H. Zureikat, Brian A. Boone, Randall E. Brand, Ruben Zamora, Kenneth K. Lee, Asmita Chopra, Richard L. Simmons |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male 0301 basic medicine Oncology Cancer Research medicine.medical_specialty medicine.medical_treatment Clinical Decision-Making Immunology Alpha (ethology) Comorbidity Adenocarcinoma Logistic regression Article 03 medical and health sciences 0302 clinical medicine Internal medicine Antineoplastic Combined Chemotherapy Protocols medicine Humans Immunology and Allergy Lymph node Neoadjuvant therapy Aged Retrospective Studies Pharmacology Chemotherapy business.industry Decision Trees Disease Management Cancer Middle Aged Prognosis medicine.disease Combined Modality Therapy Neoadjuvant Therapy Pancreatic Neoplasms Treatment Outcome 030104 developmental biology medicine.anatomical_structure Nat 030220 oncology & carcinogenesis Cytokines Female Inflammation Mediators business Biomarkers |
| Zdroj: | J Immunother |
| ISSN: | 1524-9557 |
| Popis: | Despite its increased application in pancreatic ductal adenocarcinoma (PDAC), complete response to neoadjuvant therapy (NAT) is rare. Given the critical role of host immunity in regulating cancer, we sought to correlate baseline inflammatory profiles to significant response to NAT. PDAC patients receiving NAT were classified as responders (R) or nonresponders (NR) by carbohydrate antigen 19-9 response, pathologic tumor size, and lymph node status in the resected specimen. Baseline (treatment-naive) plasma was analyzed to determine levels of 27 inflammatory mediators. Logistic regression was used to correlate individual mediators with response. Network analysis and Pearson correlation maps were derived to determine baseline inflammatory mediator profiles. Forty patients (20R and 20NR) met study criteria. The R showed significantly higher overall survival (59.4 vs. 21.25 mo, P=0.002) and disease-free survival (50.97 vs. 10.60 mo, P=0.005), compared with NR. soluble interleukin-2 receptor alpha was a significant predictor of no response to NAT (P=0.045). Analysis of inflammatory profiles using the Pearson heat map analysis followed by network analysis depicted increased inflammatory network complexity in NR compared with R (1.69 vs. 1), signifying a more robust baseline inflammatory status of NR. A panel of inflammatory mediators identified by logistic regression and Fischer score analysis was used to create a potential decision tree to predict NAT response. We demonstrate that baseline inflammatory profiles are associated with response to NAT in PDAC, and that an upregulated inflammatory status is associated with a poor response to NAT. Further analysis into the role of inflammatory mediators as predictors of chemotherapy response is warranted. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|