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Dataset Information

Heterogeneity of glycan biomarker clusters as an indicator of recurrence in pancreatic cancer.


ABSTRACT:

Introduction

Outcomes following tumor resection vary dramatically among patients with pancreatic ductal adenocarcinoma (PDAC). A challenge in defining predictive biomarkers is to discern within the complex tumor tissue the specific subpopulations and relationships that drive recurrence. Multiplexed immunofluorescence is valuable for such studies when supplied with markers of relevant subpopulations and analysis methods to sort out the intra-tumor relationships that are informative of tumor behavior. We hypothesized that the glycan biomarkers CA19-9 and STRA, which detect separate subpopulations of cancer cells, define intra-tumoral features associated with recurrence.

Methods

We probed this question using automated signal thresholding and spatial cluster analysis applied to

SUBMITTER: Wisniewski L 

PROVIDER: S-EPMC10130372 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature