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Cancer

Cancer

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.

Cancer-Critical Genes I: Proto-oncogenes

Cancer-Critical Genes I: Proto-oncogenes

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...

Cancer-Critical Genes II: Tumor Suppressor Genes

Cancer-Critical Genes II: Tumor Suppressor Genes

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...

Cancer-Critical Genes I: Proto-oncogenes

Cancer-Critical Genes I: Proto-oncogenes

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...

Cancer-Critical Genes II: Tumor Suppressor Genes

Cancer-Critical Genes II: Tumor Suppressor Genes

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...

Cancer Survival Analysis

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...

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Related Experiment Video

Updated: Jul 10, 2026

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Published on: December 9, 2015

Computational prediction of cancer-gene function.

Pingzhao Hu¹, Gary Bader, Dennis A Wigle

¹Program in Proteomics and Bioinformatics, Banting and Best Department of Medical Research, University of Toronto, Toronto, Ontario, Canada.

Nature Reviews. Cancer

|December 15, 2006

Summary

Predicting cancer gene function is challenging. This study explores computational methods to deduce the roles of uncharacterized cancer genes using genomic and proteomic data.

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Last Updated: Jul 10, 2026

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Area of Science:

Oncology
Genomics
Proteomics
Computational Biology

Background:

Many cancer genes lack functional characterization in disease development.
High-throughput molecular profiling identifies functionally linked gene clusters in neoplastic processes.
In vivo functional determination of cancer genes is inefficient and labor-intensive.

Purpose of the Study:

To address the challenge of predicting cancer gene function.
To explore the application of modern computational and statistical methods for cancer gene function prediction.
To leverage newly available genomic and proteomic datasets for deducing gene functions in cancer.

Main Methods:

Utilizing computational and statistical approaches.
Analyzing high-throughput molecular profiling data.
Integrating genomic and proteomic datasets.

Main Results:

Exploration of plausible solutions for deducing cancer gene functions.
Identification of computational strategies for functional prediction.
Framework for leveraging multi-omics data in cancer research.

Conclusions:

Computational and statistical methods offer promising avenues for predicting cancer gene function.
Integrating diverse datasets is crucial for understanding poorly characterized cancer genes.
This approach aids oncologists and computational biologists in cancer research.