Abstract
Pancreatic Ductal Adenocarcinoma (PDAC) is a highly lethal malignancy due to its propensity to invade and rapidly metastasize and remains very difficult to manage clinically. One major hindrance towards a better understanding of PDAC is the lack of molecular data sets and models representative of end stage disease. Moreover, it remains unclear how molecularly similar patient-derived xenograft (PDX) models are to the primary tumor from which they were derived. To identify potential molecular drivers in metastatic pancreatic cancer progression, we obtained matched primary tumor, metastases and normal (peripheral blood) samples under a rapid autopsy program and performed whole exome sequencing (WES) on tumor as well as normal samples. PDX models were also generated, sequenced and compared to tumors. Across the matched data sets generated for three patients, there were on average approximately 160 single-nucleotide mutations in each sample. The majority of mutations in each patient were shared among the primary and metastatic samples and, importantly, were largely retained in the xenograft models. Based on the mutation prevalence in the primary and metastatic sites, we proposed possible clonal evolution patterns marked by functional mutations affecting cancer genes such as KRAS, TP53 and SMAD4 that may play an important role in tumor initiation, progression and metastasis. These results add to our understanding of pancreatic tumor biology, and demonstrate that PDX models derived from advanced or end-stage likely closely approximate the genetics of the disease in the clinic and thus represent a biologically and clinically relevant pre-clinical platform that may enable the development of effective targeted therapies for PDAC.
Highlights
Pancreatic Ductal Adenocarcinoma (PDAC) is a highly lethal malignancy that represents a major therapeutic challenge[1]
PDAC patients suffer from rapid disease progression and metastasis, which motivated the search for somatic alterations driving metastasis
Mutations identified from our study in genes such as MUC16, MUC2 and ODZ1 could shed new insights into metastasispromoting pathways in tumor cells
Summary
Pancreatic Ductal Adenocarcinoma (PDAC) is a highly lethal malignancy that represents a major therapeutic challenge[1]. To help develop novel targeted therapeutic strategies to treat PDAC patients, it is critical to understand the cellular and molecular mechanisms that facilitate metastasis formation, and to generate models that more faithfully represent the end-stage disease. Mutational heterogeneity may at least partially explain the short-lived responses to virtually all drugs as patients may harbor preexisting, therapy-resistant clones. We sought to comprehensively characterize somatic SNVs (single-nucleotide variations) in end stage pancreatic cancer and performed whole exome sequencing (WES) on paired primary tumors and metastases. Through this analysis, we identified potential molecular cancer drivers and related dysregulated pathways that might underlie the progression of PDAC. PDX models derived from the same primary and metastatic tumor samples were sequenced to assess differences in the mutation profiles between primary tumor samples and xenograft models
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