Unknown

Dataset Information

0

Transcriptomic Analysis of Laser Capture Microdissected Tumors Reveals Cancer- and Stromal-Specific Molecular Subtypes of Pancreatic Ductal Adenocarcinoma.


ABSTRACT:

Purpose

Pancreatic ductal adenocarcinoma (PDAC) lethality is multifactorial; although studies have identified transcriptional and genetic subsets of tumors with different prognostic significance, there is limited understanding of features associated with the minority of patients who have durable remission after surgical resection. In this study, we performed laser capture microdissection (LCM) of PDAC samples to define their cancer- and stroma-specific molecular subtypes and identify a prognostic gene expression signature for short-term and long-term survival.

Experimental design

LCM and RNA sequencing (RNA-seq) analysis of cancer and adjacent stroma of 19 treatment-naïve PDAC tumors was performed. Gene expression signatures were tested for their robustness in a large independent validation set. An RNA-ISH assay with pooled probes for genes associated with disease-free survival (DFS) was developed to probe 111 PDAC tumor samples.

Results

Gene expression profiling identified four subtypes of cancer cells (C1-C4) and three subtypes of cancer-adjacent stroma (S1-S3). These stroma-specific subtypes were associated with DFS (P = 5.55E-07), with S1 associated with better prognoses when paired with C1 and C2. Thirteen genes were found to be predominantly expressed in cancer cells and corresponded with DFS in a validation using existing RNA-seq datasets. A second validation on an independent cohort of patients using RNA-ISH probes to six of these prognostic genes demonstrated significant association with overall survival (median 17 vs. 25 months; P < 0.02).

Conclusions

Our results identified specific signatures from the epithelial and the stroma components of PDAC, which add clarity to the nature of PDAC molecular subtypes and may help predict survival.

SUBMITTER: Birnbaum DJ 

PROVIDER: S-EPMC8118131 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

2021-06-30 | GSE164665 | GEO
| PRJNA691527 | ENA
| S-EPMC8042244 | biostudies-literature
| S-EPMC4356551 | biostudies-literature
| S-EPMC7456216 | biostudies-literature
| S-EPMC8855836 | biostudies-literature
| S-EPMC7327365 | biostudies-literature
| S-EPMC6767191 | biostudies-literature
| S-EPMC8305839 | biostudies-literature
| S-EPMC4659838 | biostudies-other