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Related Concept Videos

Cancer02:18

Cancer

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Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
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Cancer Stem Cells and Tumor Maintenance02:40

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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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Cancer-Critical Genes II: Tumor Suppressor Genes01:05

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Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
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Cancer-Critical Genes I: Proto-oncogenes01:33

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Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
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What is Cancer?02:12

What is Cancer?

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Cells and tissues must meticulously coordinate their activities for the normal functioning of the human body. Therefore, they exhibit socially responsible behavior - resting, growing, dividing, differentiating, or dying - for the organism’s benefit. Cancer arises when cells divide uncontrollably and invade other tissues or organs.
Although people have known about cancer for centuries, it was only in 1761 that Giovanni Morgagni of Padua performed a detailed autopsy of...
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Positive Regulator Molecules02:39

Positive Regulator Molecules

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Mitotic cell division results in daughter cells that exactly resemble the parent cell. However, errors in the DNA replication or distribution of genetic material may lead to genetic mutations that may be passed down to every new cell formed from the resulting abnormal cell. Propagation of such mutant cells is restricted through checkpoint mechanisms present at different stages of the cell cycle. These checkpoints involve regulator molecules that either promote or demote cell cycle events.
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Isolation and Characterization of Tumor-initiating Cells from Sarcoma Patient-derived Xenografts
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Cancer Cell Controller.

Sunil Kumar Kashyap1, Birendra Kumar Sharma1, Amitabh Banerjee1

  • 1Pandit Ravishankar Shukla University, Raipur, Chhattisgarh-492010, India.

Journal of Experimental Therapeutics & Oncology
|May 24, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a novel controller designed to manage uncontrolled cell growth characteristic of cancer. Algebraic structures are utilized to analyze and understand cancer cell behavior for improved therapeutic strategies.

Keywords:
algebraic structurescancercellcontroller

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Area of Science:

  • Oncology
  • Control Theory
  • Computational Biology

Background:

  • Cancer is characterized by uncontrolled cellular proliferation.
  • Understanding the dynamics of cancer cell growth is crucial for developing effective treatments.
  • Existing control strategies for biological systems can be adapted for cancer therapy.

Purpose of the Study:

  • To present a novel controller for managing uncontrolled cancer cell growth.
  • To explore the application of algebraic structures in analyzing cancer cell behavior.
  • To provide a theoretical framework for cancer control.

Main Methods:

  • Review of cancer cell biology and uncontrolled growth mechanisms.
  • Application of algebraic structures (e.g., group theory, ring theory) to model cancer cell dynamics.
  • Development of a control system based on the algebraic model.

Main Results:

  • The proposed controller demonstrates potential in regulating cancer cell proliferation in a theoretical model.
  • Algebraic structures provide a robust framework for characterizing cancer cell behavior.
  • The study lays the groundwork for developing mathematically-driven cancer therapies.

Conclusions:

  • A novel controller based on algebraic structures can potentially manage cancer cell growth.
  • Further research is warranted to validate these findings experimentally.
  • This approach offers a new perspective on cancer treatment design.