Materials-driven approaches to understand extrinsic drug resistance in cancer

Justin R Pritchard1, Michael J Lee2, Shelly R Peyton3

  • 1Department of Biomedical Engineering, Pennsylvania State University, State College PA, USA.

Soft Matter
|April 21, 2022
PubMed

Insights

Overcoming drug resistance in metastatic cancer requires understanding how the tumor microenvironment and genetics impact therapy. New bioengineering tools are being developed to address these challenges in patient treatment.

Area of Science:

  • Biomedical Engineering
  • Materials Science
  • Cancer Biology

Background:

  • Metastatic cancer presents a poor prognosis due to widespread dissemination and drug resistance.
  • Current treatments struggle to overcome drug desensitization and tailor therapies to individual tumor characteristics.
  • Understanding the interplay between the tumor microenvironment and cancer cell genetics is crucial for effective treatment.

Purpose of the Study:

  • To explore the challenges in overcoming drug resistance in metastatic cancer.
  • To investigate the role of the tumor microenvironment and genetic profiles in therapeutic response.
  • To highlight the development of new technologies for analyzing drug resistance mechanisms.

Main Methods:

  • Developing advanced bioengineering and materials science technologies.
  • Investigating how metastatic sites affect drug delivery and efficacy.
  • Utilizing sophisticated systems biology tools and controllable microenvironments.

Main Results:

  • Identifying factors within the tumor microenvironment that contribute to drug resistance.
  • Assessing the impact of extracellular signals versus intrinsic cell genetics on drug response.
  • Gaining insights into the complex interactions governing drug resistance in patients.

Conclusions:

  • Addressing drug resistance in metastatic cancer necessitates a multi-faceted approach.
  • Advanced technological tools are essential for dissecting the complex mechanisms of drug resistance.
  • Tailoring therapies based on tumor microenvironment and genetic profiles holds promise for improved patient outcomes.

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