Network rewiring, adaptive resistance and combating strategies in breast cancer

Constance Gaya Cremers1,2, Lan K Nguyen1,2

  • 1Department of Biochemistry and Molecular Biology, School of Biomedical Sciences, Monash University, Clayton, Victoria 3800, Australia.

Insights

Adaptive resistance, a non-genomic drug resistance, allows cancer cells to survive targeted therapies by rewiring signaling networks. Understanding this adaptive resistance is key to overcoming treatment failure and relapse in breast cancer.

Area of Science:

  • Oncology
  • Molecular Biology
  • Systems Biology

Background:

  • Acquired resistance to targeted anti-cancer drugs is a significant clinical challenge.
  • Adaptive resistance, driven by non-genomic network rewiring, contributes to treatment failure and relapse.
  • Adaptive resistance mechanisms remain poorly understood and defined.

Purpose of the Study:

  • To review recent findings on adaptive resistance mechanisms in breast cancer.
  • To highlight how breast tumor cells rewire intracellular signaling pathways to overcome targeted therapy.
  • To discuss strategies for overcoming adaptive resistance, including combination therapies and computational modeling.

Main Methods:

  • Review of recent literature on adaptive resistance in breast cancer.
  • Focus on adaptive resistance to targeted inhibition of PI3K-AKT-mTOR and RAS-MAPK pathways.
  • Discussion of quantitative and computational modeling approaches.

Main Results:

  • Adaptive resistance involves rapid, dynamic rewiring of signaling and transcriptional networks.
  • Tumor cells adapt to targeted therapy by circumventing drug effects through pathway crosstalk and feedback.
  • Specific focus on adaptive resistance to PI3K-AKT-mTOR and RAS-MAPK pathway inhibitors.

Conclusions:

  • Adaptive resistance is a critical, under-studied mechanism of treatment failure in breast cancer.
  • Understanding network rewiring is essential for developing effective therapeutic strategies.
  • Combination therapies and computational modeling offer promising avenues to overcome adaptive resistance.

Related Concept Videos

Treatment Resistant Cancers02:56

Treatment Resistant Cancers

Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
3.4K
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
7.8K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
5.1K
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
467