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Published on: February 2, 2024
Therapeutic pancreatic cancer biomarkers and pharmacogenetics
Ales Langer1, Pavel Soucek2, Veronika Vymetalkova3
1Faculty of Medicine and Dentristry, Palacky University Olomouc, Olomouc, Czech Republic.
Abstract:
FOLFIRINOX and gemcitabine plus nab-paclitaxel represent the most effective chemotherapy regimens for metastatic pancreatic cancer patients nowadays, but the median overall survival remains less than one year. Pharmacogenomics and the individualization of therapy represent a promising strategy, including identifying patients at increased risk of toxicity. This review summarizes contemporary knowledge about genetic variability and putative biomarkers with published associations to therapy responses of pancreatic cancer not only for gold standard treatment regimens (FOLFIRINOX, gemcitabine/nab-paclitaxel and nal-IRI/5-fluorouracil) but also for other therapeutic options regarding targeted therapy and immunotherapy. From the published data reviewed, it is evident that the problem is highly complex, and the ultimate profile of the drug-sensitive or resistant patient, followed by individualized therapy, is the most probable way to improve the poor prognosis of pancreatic cancer patients. Additionally, we will give a brief recap of what has been learned from genome-wide association studies, from gene candidate studies carried out in the context of large consortia such as the Pancreatic Disease Research (PANDoRA) consortium, and from studies focused on specific mutations in DNA repair genes.
Insights
Personalizing pancreatic cancer treatment using pharmacogenomics can improve survival. Understanding genetic factors helps predict patient response to chemotherapy and targeted therapies, guiding individualized treatment strategies.
Area of Science:
- Oncology
- Pharmacogenomics
- Translational Medicine
Background:
- Metastatic pancreatic cancer has a poor prognosis, with current chemotherapies like FOLFIRINOX offering limited survival benefits.
- Identifying genetic factors influencing treatment response and toxicity is crucial for improving patient outcomes.
- Pharmacogenomics offers a promising avenue for personalizing pancreatic cancer therapy.
Purpose of the Study:
- To review current knowledge on genetic variability and biomarkers associated with treatment response in pancreatic cancer.
- To explore pharmacogenomic associations for standard regimens (FOLFIRINOX, gemcitabine/nab-paclitaxel, nal-IRI/5-FU), targeted therapies, and immunotherapies.
- To summarize findings from genome-wide association studies and specific gene mutation analyses.
Main Methods:
- Comprehensive literature review of published data on pharmacogenomics and pancreatic cancer treatment.
- Analysis of genetic variability and biomarker associations with response to various therapeutic regimens.
- Inclusion of data from large consortia like PANDoRA and studies on DNA repair gene mutations.
Main Results:
- The complexity of pancreatic cancer treatment response is evident, influenced by numerous genetic factors.
- Published data highlight associations between genetic variability and response to FOLFIRINOX, gemcitabine/nab-paclitaxel, and other treatments.
- Studies indicate that genetic profiling is essential for predicting drug sensitivity and resistance.
Conclusions:
- Individualized therapy based on a patient's genetic profile is the most promising strategy to improve pancreatic cancer survival.
- Pharmacogenomic insights are vital for optimizing treatment selection and minimizing toxicity.
- Further research, including genome-wide and gene-specific studies, is needed to fully realize personalized medicine in pancreatic cancer.
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