1. Subtype-Discordant Pancreatic Ductal Adenocarcinoma Tumors Show Intermediate Clinical and Molecular Characteristics
- Author
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Janessa Laskin, Jonathan M. Loree, Marco A. Marra, Steven J.M. Jones, James T. Topham, Joanna M. Karasinska, Steven Gallinger, Veronika Csizmok, Julie M. Wilson, Laura Williamson, Steve E. Kalloger, David F. Schaeffer, Daniel J. Renouf, Jennifer J. Knox, Gun Ho Jang, Erica S Tsang, Grainne M. O'Kane, Hui-Li Wong, Andrew J. Mungall, Faiyaz Notta, Michael K.C. Lee, Robert E. Denroche, Patricia A. Tang, Richard A. Moore, Rachel Anne Goodwin, and Oliver F. Bathe
- Subjects
0301 basic medicine ,Oncology ,Cancer Research ,medicine.medical_specialty ,Pancreatic ductal adenocarcinoma ,Research groups ,endocrine system diseases ,Sequencing data ,medicine.disease_cause ,Multivariate survival ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Biomarkers, Tumor ,medicine ,Humans ,Prospective Studies ,RNA-Seq ,Pancreas ,Retrospective Studies ,business.industry ,Prognosis ,Survival Analysis ,Subtyping ,Gene Expression Regulation, Neoplastic ,Pancreatic Neoplasms ,Clinical Practice ,030104 developmental biology ,030220 oncology & carcinogenesis ,Allelic Imbalance ,KRAS ,business ,Carcinoma, Pancreatic Ductal - Abstract
Purpose: RNA-sequencing–based subtyping of pancreatic ductal adenocarcinoma (PDAC) has been reported by multiple research groups, each using different methodologies and patient cohorts. “Classical” and “basal-like” PDAC subtypes are associated with survival differences, with basal-like tumors associated with worse prognosis. We amalgamated various PDAC subtyping tools to evaluate the potential of such tools to be reliable in clinical practice. Experimental Design: Sequencing data for 574 PDAC tumors was obtained from prospective trials and retrospective public databases. Six published PDAC subtyping strategies (Moffitt regression tools, clustering-based Moffitt, Collisson, Bailey, and Karasinska subtypes) were used on each sample, and results were tested for subtype call consistency and association with survival. Results: Basal-like and classical subtype calls were concordant in 88% of patient samples, and survival outcomes were significantly different (P < 0.05) between prognostic subtypes. Twelve percent of tumors had subtype-discordant calls across the different methods, showing intermediate survival in univariate and multivariate survival analyses. Transcriptional profiles compatible with that of a hybrid subtype signature were observed for subtype-discordant tumors, in which classical and basal-like genes were concomitantly expressed. Subtype-discordant tumors showed intermediate molecular characteristics, including subtyping gene expression (P < 0.0001) and mutant KRAS allelic imbalance (P < 0.001). Conclusions: Nearly 1 in 6 patients with PDAC have tumors that fail to reliably fall into the classical or basal-like PDAC subtype categories, based on two regression tools aimed toward clinical practice. Rather, these patient tumors show intermediate prognostic and molecular traits. We propose close consideration of the non-binary nature of PDAC subtypes for future incorporation of subtyping into clinical practice.
- Published
- 2021
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