Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

5.6K
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.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
5.6K
Cancer Survival Analysis01:21

Cancer Survival Analysis

529
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...
529
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

8.7K
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...
8.7K
Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

9.8K
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...
9.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Circular RNA circCSNK1G3 induces HOXA10 signaling and promotes the growth and metastasis of lung adenocarcinoma cells through hsa-miR-143-3p sponging.

Cellular oncology (Dordrecht, Netherlands)·2020
Same author

A comparative study of asleep and awake deep brain stimulation robot-assisted surgery for Parkinson's disease.

NPJ Parkinson's disease·2020
Same author

Therapeutic effect of disulfiram inclusion complex embedded in hydroxypropyl-β-cyclodextrin on intracranial glioma-bearing male rats via intranasal route.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences·2020
Same author

The roles of co-composted biochar (COMBI) in improving soil quality, crop productivity, and toxic metal amelioration.

Journal of environmental management·2020
Same author

Event-related potentials support the mnemonic effect of spontaneous insight solution.

Psychological research·2020
Same author

A deconvolution method and its application in analyzing the cellular fractions in acute myeloid leukemia samples.

BMC genomics·2020

Related Experiment Video

Updated: Nov 22, 2025

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
09:01

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Published on: July 3, 2025

604

Meta-analysis of cancer gene-profiling data.

Xinan Yang1, Xiao Sun

  • 1Division of Bioinformatics, State Key Laboratory of Bioelectronics (Chien-Shiung Wu Laboratory), Southeast University, Nanjing, China. xnyang@seu.edu.cn

Methods in Molecular Biology (Clifton, N.J.)
|November 3, 2009
PubMed
Summary

This study introduces OrderedList, a meta-analysis method for cancer gene expression data. It identifies consistent biomarkers across studies, improving upon individual analyses for lung adenocarcinoma.

More Related Videos

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
09:08

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

7.0K
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

9.3K

Related Experiment Videos

Last Updated: Nov 22, 2025

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
09:01

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Published on: July 3, 2025

604
Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
09:08

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

7.0K
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

9.3K

Area of Science:

  • Bioinformatics
  • Cancer Genomics
  • Biostatistics

Background:

  • DNA microarray data often suffers from high dimensionality (many variables) and low sample size, leading to low signal-to-noise ratios.
  • Clinical applications require robust and reliable results, highlighting the need for meta-analysis techniques to consolidate findings from multiple studies.
  • Existing methods may not adequately address the challenges of gene expression data heterogeneity and low statistical power in individual cancer studies.

Purpose of the Study:

  • To introduce and demonstrate the R implementation of the OrderedList methodology for cancer gene expression meta-analysis.
  • To identify reliable biomarkers for adenocarcinoma lung cancer by leveraging consistent gene regulation patterns across multiple datasets.
  • To showcase the advantages of meta-analysis in increasing statistical power and assessing heterogeneity compared to single-study analyses.

Main Methods:

  • Utilized the OrderedList method, specifically designed for cancer gene expression meta-analysis.
  • Applied the methodology to real-world gene-profiling data sets.
  • Employed R programming language for the implementation and analysis.

Main Results:

  • The OrderedList method successfully identified genes with consistent regulation across multiple cancer gene-profiling studies.
  • The analysis facilitated the identification of potential biomarkers for adenocarcinoma lung cancer.
  • Demonstrated superiority over methods relying solely on differential gene expression within single studies.

Conclusions:

  • Meta-analysis using methods like OrderedList provides a powerful approach to overcome limitations of individual DNA microarray studies.
  • Consistent gene regulation patterns across studies are key indicators for identifying robust cancer biomarkers.
  • The R implementation of OrderedList offers a practical tool for biomarker discovery in lung adenocarcinoma and other cancers.