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Abstract 2445: Peripheral blood immune phenotypes in pancreatic ductal adenocarcinoma
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Abstract
Introduction: Pancreatic ductal adenocarcinoma (PDAC) is a major cancer killer with a low 5-year survival rate of 12%. Diagnosing PDAC at an early stage is one of the strongest predictors of long-term survival. Therefore, novel methods for early detection of PDAC must be explored. In this pilot study we aimed to compare the peripheral blood immune cell phenotypes in PDAC cases and cancer-free controls.
Method: CyTOF (cytometry by time-of-flight) was used to evaluate peripheral blood mononuclear cells (PBMC) from newly diagnosed treatment naïve patients with PDAC and sex and age matched cancer-free controls using a 29-marker immune phenotyping panel. Multiple analysis approaches including dimensionality reduction using tSNE and clustering using Phenograph were used to evaluate the results. Immune subsets having differential abundance differences were verified by manual gating.
Results: Twenty patients were included in this pilot study (15 PDAC cases; 5 Cancer-free controls). Among the 15 PDAC cases, 5 were early stage (Stage 1-2). Thirty-two unique immune cell clusters were identified using the Phenograph algorithm: 10 unique clusters with properties consistent with monocytes/macrophages, 9 CD4 T cell clusters, 6 CD8 T cell clusters and 4 NK cells clusters. When comparing the case and control groups we noted lower percentages of CD8+CD27+ T-cells in cases. This was further verified by manual gating that confirmed the distribution of CD8+CD27+ T-cells relative to all T-cells were decreased in PDAC patients. In addition, a 57% increase in naïve CD4 T cells was found in case samples compared to controls. A principal component analysis of the clustering results identified two unique clusters of immune profiles that emerged providing a potential peripheral blood immune cell signature that could stratify and differentiate PDAC cases from controls. A CD14+CD16+CD4LoCD38+CD45RO+ population of monocytes was the primary cell population driving this difference.
Conclusion: This study provides early evidence to indicate that a distinct PBMC immune phenotype may differentiate PDAC patients from control subjects. Further analysis in larger sample sets is warranted for in-depth characterization and identification of unique immune based biomarkers for PDAC detection.
Citation Format: Kevin D. Pavelko, Jose C. Villasboas, William R. Taylor, Karen A. Doering, John B. Kisiel, Shounak Majumder. Peripheral blood immune phenotypes in pancreatic ductal adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2445.
American Association for Cancer Research (AACR)
Title: Abstract 2445: Peripheral blood immune phenotypes in pancreatic ductal adenocarcinoma
Description:
Abstract
Introduction: Pancreatic ductal adenocarcinoma (PDAC) is a major cancer killer with a low 5-year survival rate of 12%.
Diagnosing PDAC at an early stage is one of the strongest predictors of long-term survival.
Therefore, novel methods for early detection of PDAC must be explored.
In this pilot study we aimed to compare the peripheral blood immune cell phenotypes in PDAC cases and cancer-free controls.
Method: CyTOF (cytometry by time-of-flight) was used to evaluate peripheral blood mononuclear cells (PBMC) from newly diagnosed treatment naïve patients with PDAC and sex and age matched cancer-free controls using a 29-marker immune phenotyping panel.
Multiple analysis approaches including dimensionality reduction using tSNE and clustering using Phenograph were used to evaluate the results.
Immune subsets having differential abundance differences were verified by manual gating.
Results: Twenty patients were included in this pilot study (15 PDAC cases; 5 Cancer-free controls).
Among the 15 PDAC cases, 5 were early stage (Stage 1-2).
Thirty-two unique immune cell clusters were identified using the Phenograph algorithm: 10 unique clusters with properties consistent with monocytes/macrophages, 9 CD4 T cell clusters, 6 CD8 T cell clusters and 4 NK cells clusters.
When comparing the case and control groups we noted lower percentages of CD8+CD27+ T-cells in cases.
This was further verified by manual gating that confirmed the distribution of CD8+CD27+ T-cells relative to all T-cells were decreased in PDAC patients.
In addition, a 57% increase in naïve CD4 T cells was found in case samples compared to controls.
A principal component analysis of the clustering results identified two unique clusters of immune profiles that emerged providing a potential peripheral blood immune cell signature that could stratify and differentiate PDAC cases from controls.
A CD14+CD16+CD4LoCD38+CD45RO+ population of monocytes was the primary cell population driving this difference.
Conclusion: This study provides early evidence to indicate that a distinct PBMC immune phenotype may differentiate PDAC patients from control subjects.
Further analysis in larger sample sets is warranted for in-depth characterization and identification of unique immune based biomarkers for PDAC detection.
Citation Format: Kevin D.
Pavelko, Jose C.
Villasboas, William R.
Taylor, Karen A.
Doering, John B.
Kisiel, Shounak Majumder.
Peripheral blood immune phenotypes in pancreatic ductal adenocarcinoma [abstract].
In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA.
Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2445.
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