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Impact of targeting transforming growth factor β-2 with antisense OT-101 on the cytokine and chemokine profile in patients with advanced pancreatic cancer

Authors D'Cruz OJ, Qazi S, Hwang L, Ng K, Trieu V

Received 8 January 2018

Accepted for publication 26 February 2018

Published 14 May 2018 Volume 2018:11 Pages 2779—2796

DOI https://doi.org/10.2147/OTT.S161905

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Cristina Weinberg

Peer reviewer comments 2

Editor who approved publication: Dr Samir Farghaly


Osmond J D’Cruz,1 Sanjive Qazi,2 Larn Hwang,1,3 Kevin Ng,1 Vuong Trieu1,3

1Autotelic Inc, Costa Mesa, CA, USA; 2Biology Department, Gustavus Adolphus College, Saint Peter, MN, USA; 3Oncotelic Inc, Agoura Hills, CA, USA

Background: Overexpression of the cytokine – transforming growth factor-beta 2 (TGF-β2) – has been implicated in the malignant progression of pancreatic cancer (PAC). OT-101 (trabedersen) is an antisense oligodeoxynucleotide designed to target the human TGF-β2 mRNA. In a Phase I/II study, OT-101 treatment with subsequent chemotherapy was characterized by outstanding overall survival (OS) in patients with PAC.
Objective: This study sought to identify 1) co-regulated sets of cyto-/chemokines; 2) potential mechanisms that link TGF-β receptor type 2 receptor inhibition that may result in the induction of a cytokine storm; and 3) predictive biomarkers for OS outcome in OT-101-treated patients with PAC.
Materials and methods: Plasma levels of 31 cyto-/chemokines were tracked over three cycles of OT-101 therapy (140 mg/m2/day) in 12 PAC patients. Samples were acquired before onset of OT-101 therapy and at eight selected time points during therapy. A mixed ANCOVA model was developed for 19 cyto-/chemokines with median expression >1 following OT-101 therapy. Regression and hierarchical clustering analyses were performed to identify correlated expressions in each patient across cyto-/chemokines or in each cyto-/chemokine across patients. Plasma cyto-/chemokine levels were compared with OS with and without subsequent chemotherapy.
Results: Three highly correlated subsets of cyto-/chemokines (Cluster 1: EGF, MIP-1α, MIP-1β; Cluster 2: FGF-2, MIG, IP-10, IL-15, IFN-α, IL-12; and Cluster 3: HGF, IL-6, IL-8) were identified following OT-101 therapy. Suppression of TGF-β signaling by OT-101 led to upregulation of IL-8, IL-15, IP-10, and HGF. Protein–protein interaction networks constructed using STRING10 algorithm identified a relationship between IL-8, IL-15, and TGF-β receptor type 2 inhibition. The mixed analysis of covariance model that examined the levels of 19 cyto-/chemokines with OS as the covariate at each of the time points resulted in IL-8 and IL-15 exhibiting a significant association with OS during Cycle 1 of therapy. In the whole-blood culture model, the cytokines with the most pronounced increase after OT-101 treatment were IL-1β, IL-8, and MCP-1.
Conclusion: No consistent responses in cyto-/chemokine levels were observed due to OT-101 treatment. Levels of IL-8 and IL-15 during Cycle 1 were positively associated with OS across 12 patients with PAC and served as potential biomarkers for treatment outcome following OT-101 therapy.

Keywords: antisense oligonucleotides, biomarkers, cytokines, pancreatic cancer, survival, transforming growth factor-beta 2
 

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