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Related Concept Videos

Treatment Resistant Cancers02:56

Treatment Resistant Cancers

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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...
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Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
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Early diagnosis and treatment can often cure cancer. However, even with treatment, residual cells called cancer stem cells (CSC) might remain, often causing tumor recurrence. These cancer stem cells possess the potential for self-renewal and multi-lineage differentiation and are often responsible for the therapeutic resistance displayed in most cancers.
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Related Experiment Video

Updated: Oct 6, 2025

Establishing Dual Resistance to EGFR-TKI and MET-TKI in Lung Adenocarcinoma Cells In Vitro with a 2-step Dose-escalation Procedure
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Dynamic Phenotypic Switching and Group Behavior Help Non-Small Cell Lung Cancer Cells Evade Chemotherapy.

Arin Nam1, Atish Mohanty1, Supriyo Bhattacharya2

  • 1Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA 91010, USA.

Biomolecules
|January 21, 2022
PubMed
Summary
This summary is machine-generated.

Cancer cells exhibit group behaviors influencing drug resistance. Mathematical modeling reveals that intermittent chemotherapy may combat drug-tolerant non-small cell lung cancer (NSCLC) by disrupting these dynamics.

Keywords:
chemoresistancecisplatinevolutionary game theorygroup behaviorlung cancerpersister traitphenotypic switching

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Area of Science:

  • Oncology
  • Mathematical Biology
  • Cancer Research

Background:

  • Drug resistance in cancer therapy is a significant challenge, often linked to genetic factors.
  • Emerging research indicates that cellular interactions and collective behavior also play a role in drug resistance.
  • The precise mechanisms driving this group behavior in cancer drug resistance are not well understood.

Purpose of the Study:

  • To develop and apply a novel game theory-based mathematical model.
  • To analyze real-time growth data of non-small cell lung cancer (NSCLC) cells.
  • To identify patterns of drug resistance in response to cisplatin treatment.

Main Methods:

  • Utilized a mathematical approach with game theoretical principles.
  • Modeled real-time growth data of NSCLC cells under cisplatin treatment.
  • Investigated co-cultures of cisplatin-sensitive and cisplatin-tolerant NSCLC cells.

Main Results:

  • Observed dynamic group behavior strategies between sensitive and tolerant NSCLC cells.
  • Identified 'persister-like' behavior in tolerant cells, which are suppressed by sensitive cells.
  • Demonstrated that tolerant cells can 'educate' sensitive cells to resist chemotherapy.
  • Found that tolerant cells can switch to a sensitive phenotype, particularly at lower cisplatin concentrations.

Conclusions:

  • Cellular group behavior significantly influences non-small cell lung cancer drug resistance.
  • Intermittent chemotherapy regimens may be more effective than continuous ones.
  • Intermittent treatment could potentially attenuate the emergence of drug-tolerant cancer cells and improve patient outcomes.