Analyzing Flow Cytometry or Targeted Gene Expression Data Influences Clinical Discoveries—Profiling Blood Samples of Pancreatic Ductal Adenocarcinoma Patients

Author:

de Koning Willem12ORCID,van Eijck Casper W. F.13ORCID,van der Sijde Fleur13,Strijk Gaby J.13,Oostvogels Astrid A. M.4,Debets Reno4ORCID,van Eijck Casper H. J.3ORCID,Mustafa Dana A. M.1ORCID

Affiliation:

1. The Tumor Immuno-Pathology Laboratory, Department of Pathology & Clinical Bioinformatics, Erasmus University Medical Centre, 3015 GD Rotterdam, The Netherlands

2. Clinical Bioinformatics Unit, Department of Pathology & Clinical Bioinformatics, Erasmus University Medical Centre, 3015 GD Rotterdam, The Netherlands

3. Department of Surgery, Erasmus University Medical Centre, 3015 GD Rotterdam, The Netherlands

4. Laboratory of Tumor Immunology, Department of Medical Oncology, Erasmus University Medical Centre, 3015 GD Rotterdam, The Netherlands

Abstract

Introduction: Monitoring the therapeutic response of pancreatic ductal adenocarcinoma (PDAC) patients is crucial to determine treatment strategies. Several studies have examined the effectiveness of FOLFIRINOX as a first-line treatment in patients with locally advanced pancreatic cancer, but little attention has been paid to the immunologic alterations in peripheral blood caused by this chemotherapy regimen. Furthermore, the influence of the measurement type (e.g., flow cytometry and targeted gene expression) on the clinical discoveries is unknown. Therefore, we aimed to scrutinize the influence of using flow cytometry or targeted immune gene expression to study the immunological changes in blood samples of PDAC patients who were treated with a single-cycle FOLFIRINOX combined with lipegfilgrastim (FFX-Lipeg). Material and Methods: Whole-blood samples from 44 PDAC patients were collected at two time points: before the first FOLFIRINOX cycle and 14 days after the first cycle. EDTA blood tubes were used for multiplex flow cytometry analyses to quantify 18 immune cell populations and for complete blood count tests as the standard clinical routine. The flow cytometry data were analyzed with FlowJo software. In addition, Tempus blood tubes were used to isolate RNA and measure 1230 immune-related genes using NanoString Technology®. Data quality control, normalization, and analysis were performed using nSolver™ software and the Advanced Analysis module. Results: FFX-Lipeg treatment increased the number of neutrophils and monocytes, as shown by flow cytometry and complete blood count in concordance with elevated gene expression measured via targeted gene expression profiling analysis. Interestingly, flow cytometry analysis showed an increase in the number of B and T cells after treatment, while targeted gene expression analysis showed a decrease in B and T cell-specific gene expression. Conclusions: Targeted gene expression complements flow cytometry analysis to provide a comprehensive understanding of the effects of FFX-Lipeg. Flow cytometry and targeted gene expression showed increases in neutrophils and monocytes after FFX-Lipeg. The number of lymphocytes is increased after treatment; nevertheless, their cell-specific gene expression levels are downregulated. This highlights that different techniques influence clinical discoveries. Therefore, it is important to carefully select the measurement technique used to study the effect of a treatment.

Funder

Support Casper

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Reference46 articles.

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4. Thibodeau, S., and Voutsadakis, I.A. (2018). FOLFIRINOX Chemotherapy in Metastatic Pancreatic Cancer: A Systematic Review and Meta-Analysis of Retrospective and Phase II Studies. J. Clin. Med., 7.

5. FOLFIRINOX for Locally Advanced Pancreatic Cancer: A Systematic Review and Patient-Level Meta-Analysis;Suker;Lancet Oncol.,2016

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