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Related Concept Videos

Tumor Progression02:07

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Tumor Progression02:07

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

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.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

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.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
mTOR Signaling and Cancer Progression03:03

mTOR Signaling and Cancer Progression

The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
The mTOR pathway or the...

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Related Experiment Videos

Modeling cancer progression via pathway dependencies.

Elena J Edelman1, Justin Guinney, Jen-Tsan Chi

  • 1Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, USA.

Plos Computational Biology
|February 20, 2008
PubMed
Summary

This study introduces a new pathway analysis to understand cancer progression. It models genetic changes in prostate cancer and melanoma, revealing key pathways and a novel link between ErbB4 and prostate cancer.

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Area of Science:

  • Oncology
  • Systems Biology
  • Bioinformatics

Background:

  • Cancer arises from complex genetic alterations, with mechanisms often unclear.
  • Understanding pathway deregulation is crucial for deciphering tumorigenesis.
  • Existing models often focus on individual genes, neglecting pathway-level interactions.

Purpose of the Study:

  • To develop an integrative hierarchical analysis for modeling tumor progression.
  • To identify relevant pathways and gene networks throughout cancer development.
  • To deepen the understanding of tumorigenesis mechanisms in prostate cancer and melanoma.

Main Methods:

  • Applied an integrative hierarchical analysis to a priori defined pathways.
  • Inferred pathway interaction networks across progression stages.
  • Refined pathways based on differentially expressed genes and constructed gene interaction networks.

Main Results:

  • Successfully modeled progression in prostate cancer and melanoma.
  • Confirmed deregulation of cell cycle and proliferation pathways.
  • Identified a novel association between ErbB4 and primary prostate cancer.

Conclusions:

  • The developed approach provides deeper insights into cancer progression mechanisms.
  • Highlights the importance of pathway-level analysis in oncology.
  • Suggests ErbB4 as a potential factor in prostate cancer development.