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Review

Towards an Optimal Treatment Algorithm for Metastatic Pancreatic Ductal Adenocarcinoma (PDA)

1
Drug Development, Sarah Cannon Research Institute UK, London, UK
2
UCL Cancer Institute, University College of London, London, UK
*
Author to whom correspondence should be addressed.
Curr. Oncol. 2018, 25(1), 90-94; https://doi.org/10.3747/co.25.3708
Submission received: 7 November 2017 / Revised: 6 December 2017 / Accepted: 9 January 2018 / Published: 1 February 2018

Abstract

Chemotherapy remains the mainstay of treatment for advanced pancreatic ductal adenocarcinoma (PDA). Two randomized trials have demonstrated superiority of the combination regimens FOLFIRINOX (5-fluorouracil, leucovorin, oxaliplatin, and irinotecan) and gemcitabine plus nab-paclitaxel over gemcitabine monotherapy as a first-line treatment in adequately fit subjects. Selected PDA patients progressing to first-line therapy can receive second-line treatment with moderate clinical benefit. Nevertheless, the optimal algorithm and the role of combination therapy in second-line are still unclear. Published second-line PDA clinical trials enrolled patients progressing to gemcitabine-based therapies in use before the approval of nab-paclitaxel and FOLFIRINOX. The evolving scenario in second-line may affect the choice of the first-line treatment. For example, nanoliposomal irinotecan plus 5-fluouracil and leucovorin is a novel second-line option which will be suitable only for patients progressing to gemcitabine-based therapy. Therefore, clinical judgement and appropriate patient selection remain key elements in treatment decision. In this review, we aim to illustrate currently available options and define a possible algorithm to guide treatment choice. Future clinical trials taking into account sequential treatment as a new paradigm in PDA will help define a standard algorithm.
Keywords: pancreatic ductal adenocarcinoma; pancreatic cancer; second-line; chemotherapy; algorithm pancreatic ductal adenocarcinoma; pancreatic cancer; second-line; chemotherapy; algorithm

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MDPI and ACS Style

Uccello, M.; Moschetta, M.; Mak, G.; Alam, T.; Henriquez, C.M.; Arkenau, H.-T. Towards an Optimal Treatment Algorithm for Metastatic Pancreatic Ductal Adenocarcinoma (PDA). Curr. Oncol. 2018, 25, 90-94. https://doi.org/10.3747/co.25.3708

AMA Style

Uccello M, Moschetta M, Mak G, Alam T, Henriquez CM, Arkenau H-T. Towards an Optimal Treatment Algorithm for Metastatic Pancreatic Ductal Adenocarcinoma (PDA). Current Oncology. 2018; 25(1):90-94. https://doi.org/10.3747/co.25.3708

Chicago/Turabian Style

Uccello, M., M. Moschetta, G. Mak, T. Alam, C. Murias Henriquez, and H.-T. Arkenau. 2018. "Towards an Optimal Treatment Algorithm for Metastatic Pancreatic Ductal Adenocarcinoma (PDA)" Current Oncology 25, no. 1: 90-94. https://doi.org/10.3747/co.25.3708

APA Style

Uccello, M., Moschetta, M., Mak, G., Alam, T., Henriquez, C. M., & Arkenau, H. -T. (2018). Towards an Optimal Treatment Algorithm for Metastatic Pancreatic Ductal Adenocarcinoma (PDA). Current Oncology, 25(1), 90-94. https://doi.org/10.3747/co.25.3708

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