Abstract
BackgroundPancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy and its mortality continues to rise globally. Because of its high heterogeneity and complex molecular landscapes, published gene signatures have demonstrated low specificity and robustness. Functional signatures containing a group of genes involved in similar biological functions may display a more robust performance.MethodsThe present study was designed to excavate potential functional signatures for PDAC by analyzing maximal number of datasets extracted from available databases with a recently developed method of FAIME (Functional Analysis of Individual Microarray Expression) in a comprehensive and integrated way.ResultsEleven PDAC datasets were extracted from GEO, ICGC and TCGA databases. By systemically analyzing these datasets, we identified a robust functional signature of subpathway (path:00982_1), which belongs to the drug metabolism-cytochrome P450 pathway. The signature has displayed a more powerful and robust capacity in predicting prognosis, drug response and chemotherapeutic efficacy for PDAC, particularly for the classical subtype, in comparison with published gene signatures and clinically used TNM staging system. This signature was verified by meta-analyses and validated in available cell line and clinical datasets with chemotherapeutic efficacy.ConclusionThe present study has identified a novel functional PDAC signature, which has the potential to improve the current systems for predicting the prognosis and monitoring drug response, and to serve a linkage to therapeutic options for combating PDAC. However, the involvement of path:00982_1 subpathway in the metabolism of anti-PDAC chemotherapeutic drugs, particularly its biological interpretation, requires a further investigation.55T42nE1wBcMSNQpJ96fRFVideo
Highlights
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy and its mortality continues to rise globally
Functions of genes and pathways explain the major features of pancreatic tumorigenesis and progression [19], functional signatures may display more robust performance since they contain a group of genes involved in similar biological functions [10, 20]
We designed the present study aiming at seeking potential functional signatures for PDAC by analyzing maximal number of datasets extracted from available public databases with Functional Analysis of Individual Microarray Expression (FAIME) in a comprehensive and integrated way
Summary
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy and its mortality continues to rise globally. PDAC is regarded as a devastating malignancy due to its aggressive nature, presenting at an advanced stage and resistance to most treatment modalities, resulting in an overall 5-year survival rate at 9% [3], which is the lowest 5-year survival rate among all solid malignancies [4] Such a poor outcome highlights an urgent need for seeking novel biomarkers to predict survival and monitor therapy response, which may provide a more precise link to therapeutic options for combating PDAC. Functions of genes and pathways explain the major features of pancreatic tumorigenesis and progression [19], functional signatures may display more robust performance since they contain a group of genes involved in similar biological functions [10, 20]. We designed the present study aiming at seeking potential functional signatures for PDAC by analyzing maximal number of datasets extracted from available public databases with FAIME in a comprehensive and integrated way
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