Pancreatic cancer chemo-resistance is driven by tumor phenotype rather than tumor genotype

Mirna Swayden1, Juan Iovanna1, Philippe Soubeyran1

  • 1Centre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Aix-Marseille Université and Institut Paoli-Calmettes, Parc Scientifique et Technologique de Luminy, Marseille, France.

Heliyon
|December 25, 2018
PubMed

Insights

Pancreatic Ductal Adenocarcinoma (PDAC) resistance to therapy stems from non-genetic factors, not just mutations. Understanding these phenotypic changes is key to overcoming treatment challenges in this deadly cancer.

Area of Science:

  • Oncology
  • Cancer Biology
  • Translational Research

Background:

  • Pancreatic Ductal Adenocarcinoma (PDAC) is a highly lethal cancer with significant therapeutic resistance.
  • Genetic alterations drive PDAC initiation and heterogeneity but inadequately predict treatment response.
  • Tumor resistance and therapeutic escape in PDAC involve factors beyond genetic profiles.

Purpose of the Study:

  • To review major non-genetic, phenotypic alterations contributing to PDAC treatment resistance.
  • To highlight factors independent of genetic profiles that influence therapeutic outcomes.
  • To provide insights into overcoming resistance mechanisms in pancreatic cancer.

Main Methods:

  • Literature review of phenotypic alterations in PDAC.
  • Analysis of non-genetic factors influencing treatment resistance.
  • Synthesis of current knowledge on therapeutic escape mechanisms.

Main Results:

  • PDAC cells exhibit phenotypic changes that confer resistance to conventional therapies.
  • Micro-environmental factors significantly contribute to acquired drug resistance.
  • Non-genetic alterations are crucial drivers of therapeutic failure in PDAC.

Conclusions:

  • Phenotypic and micro-environmental factors are critical determinants of PDAC treatment resistance.
  • Targeting non-genetic alterations may offer new therapeutic strategies for pancreatic cancer.
  • Further research into these factors is essential for improving patient outcomes.

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