Therapeutic pancreatic cancer biomarkers and pharmacogenetics

Ales Langer1, Pavel Soucek2, Veronika Vymetalkova3

  • 1Faculty of Medicine and Dentristry, Palacky University Olomouc, Olomouc, Czech Republic.

Seminars in Cancer Biology
|September 8, 2025
PubMed

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.