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Related Concept Videos

Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

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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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Interactions Between Signaling Pathways01:19

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Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
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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.
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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.
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Metastasis is the spread of cancer cells from the original site to distant locations in the body. Cancer cells can spread via blood vessels (hematogenous) as well as lymph vessels in the body.
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Dual-modality Molecular Cartography: Integrating Multiplex mRNA Detection with Protein Imaging Mass Cytometry
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CancerNet: a database for decoding multilevel molecular interactions across diverse cancer types.

X Meng1, J Wang1,2, C Yuan1

  • 1Department of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou, China.

Oncogenesis
|December 23, 2015
PubMed
Summary
This summary is machine-generated.

CancerNet is a new database for cancer-specific analysis of protein-protein interactions (PPIs) and microRNA (miRNA)-target interactions. It reveals miRNA synergism and provides a comprehensive platform for cancer research.

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Area of Science:

  • Bioinformatics
  • Cancer Research
  • Systems Biology

Background:

  • Protein-protein interactions (PPIs) and microRNA (miRNA)-target interactions are crucial for understanding cancer development.
  • Existing databases lack cancer-specific analysis and retrieval of cancer-associated miRNA-target interactions.
  • Understanding miRNA synergism is vital as multiple miRNAs influence human cancer pathogenesis.

Purpose of the Study:

  • To develop CancerNet, a novel cancer-specific database for molecular interactions.
  • To enable systems-level analysis of PPIs and miRNA-target interactions in 33 human cancer types.
  • To investigate functionally synergistic miRNA-miRNA networks within cancer-specific PPIs.

Main Methods:

  • Construction of cancer-specific miRNA-miRNA functionally synergistic networks.
  • Integration of PPIs, miRNA-target interactions, and synergistic miRNA pairs into CancerNet.
  • Development of flexible query methods, a network viewer, and an enrichment analysis tool.

Main Results:

  • CancerNet provides comprehensive, cancer-specific data on PPIs and miRNA-target interactions for 33 cancer types.
  • The database includes PPI information for normal tissues and cell types.
  • Functionally synergistic miRNA-miRNA pairs are identified based on target functions and network topology.

Conclusions:

  • CancerNet is the first database offering cancer-specific analysis of PPIs and miRNA-target interactions.
  • It facilitates the exploration of miRNA synergism and its role in tumorigenesis.
  • The platform supports research on the roles of proteins, miRNAs, and their interactions in human cancers.