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

Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
Cancer Survival Analysis01:21

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

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 II: Tumor Suppressor Genes01:05

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...
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

You might also read

Related Articles

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

Sort by
Same author

Integrative analysis of genomic and transcriptomic data informs precancer progression in the pancreas.

bioRxiv : the preprint server for biologyยท2025
Same author

Unsupervised learning reveals rapid gait adaptation after leg loss and regrowth in spiders.

The Journal of experimental biologyยท2025
Same author

OutSplice: A Novel Tool for the Identification of Tumor-Specific Alternative Splicing Events.

BioMedInformaticsยท2025
Same author

Many ways to land upright: novel righting strategies allow spotted lanternfly nymphs to land on diverse substrates.

Journal of the Royal Society, Interfaceยท2021
Same author

Correction: Novel Insight into Mutational Landscape of Head and Neck Squamous Cell Carcinoma.

PloS oneยท2020
Same author

Enter the Matrix: Factorization Uncovers Knowledge from Omics.

Trends in genetics : TIGยท2018
Same journal

Analysis of Second Primary Tumours in Cutaneous Lymphoma Populations.

Cancer investigationยท2026
Same journal

The Heterogeneity of B Cells Potentially Contributes to Metastasis of Clear Cell Renal Cell Carcinomas.

Cancer investigationยท2026
Same journal

The Association Between Lymphocyte-Monocyte Ratio, Tumor-Infiltrating Lymphocytes, and Tumor-Associated Macrophages with 3-Year Progression-Free Survival in Advanced Local Stage Nasopharyngeal Cancer Patients.

Cancer investigationยท2026
Same journal

<i>Inย Vivo</i> Pharmacokinetics, Bio-Distribution and anti-Tumor Activity of Docetaxel-Loaded Folate Targeted Biocompatible Polymeric Micelles.

Cancer investigationยท2026
Same journal

Bispecific Antibodies in Multiple Myeloma: A Concise Review of Current Treatments.

Cancer investigationยท2026
Same journal

Adrenal Carcinoma Laterality is of Limited Clinical Significance: A National Perspective.

Cancer investigationยท2026
See all related articles

Related Experiment Video

Updated: Jun 27, 2026

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
11:18

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

Information systems for cancer research.

Michael F Ochs1, John T Casagrande

  • 1Division of Oncology Biostatistics, Johns Hopkins Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD 21205, USA. mfo@jhu.edu

Cancer Investigation
|December 19, 2008
PubMed
Summary
This summary is machine-generated.

Cancer research data is rapidly expanding, creating informatics challenges and opportunities. Addressing these requires significant investment in data management, analysis, integration, visualization, and system interoperability for new cancer treatments.

More Related Videos

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

Related Experiment Videos

Last Updated: Jun 27, 2026

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
11:18

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

Area of Science:

  • Biomedical Informatics
  • Cancer Research
  • Data Science

Background:

  • The last decade has seen exponential growth in cancer research data.
  • High-throughput technologies and clinical trials are key drivers of informatics needs.
  • This data surge presents both opportunities for novel cancer treatments and significant informatics challenges.

Purpose of the Study:

  • To summarize the essential systems required to address informatics challenges in cancer research.
  • To outline potential issues arising from the integration of large-scale cancer data.
  • To highlight necessary investments for effective data utilization in cancer research.

Main Methods:

  • Review and synthesis of current informatics needs in cancer research.
  • Identification of key components for data integration systems.
  • Analysis of potential challenges in implementing these systems.

Main Results:

  • Five critical areas for investment have been identified: data capture and management, data analysis, data integration standards, visualization tools, and integration with enterprise systems.
  • Successful integration requires robust infrastructure and standardized approaches.
  • Potential issues include data security, privacy, and the need for specialized expertise.

Conclusions:

  • Significant investment in informatics infrastructure is crucial for leveraging the growing volume of cancer research data.
  • Addressing data challenges will accelerate the development of new cancer therapies.
  • A multi-faceted approach encompassing technology, standards, and integration is necessary for progress.