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

Cancer Survival Analysis01:21

Cancer Survival Analysis

408
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...
408
Cancer02:18

Cancer

49.0K
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.
49.0K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

5.0K
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...
5.0K
Cancer Therapies02:49

Cancer Therapies

7.9K
Cancer therapies are various modes of treatment, such as surgery, radiation therapy, and chemotherapy that are administered to cancer patients.
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...
7.9K
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

5.6K
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,...
5.6K
Cancer Prevention02:59

Cancer Prevention

6.2K
Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
6.2K

You might also read

Related Articles

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

Sort by
Same author

Glycan analysis of serum and breast tissue identifies potential biomarkers of cancer subtype and severity.

BMC cancer·2026
Same author

Knowledge Architecture for Race and Ethnic Group Defining in Learning Health Systems.

Learning health systems·2026
Same author

Reformulation of the protein databank for real-time search of geometrical attributes of protein structures.

Frontiers in molecular biosciences·2026
Same author

Metabolic Signatures of Breast Cancer Subtypes and the Metabolic Impact of Chemotherapy.

Metabolites·2026
Same author

Incentivizing social support in the randomized mobile Lifestyle Intervention for Food and Exercise study: the impact of gamification on social support perceptions, provision, and receipt.

Translational behavioral medicine·2026
Same author

Comparative Analysis of Manual ELISA and Ella, an Automated Instrument for ELISA, in Measuring Serum Galectin-3 Levels in Breast Cancer Patient Samples.

Cancers·2025
Same journal

MetaboNet-Bench: A Multi-modal Benchmark for Glucose Forecasting in Type 1 Diabetes.

ArXiv·2026
Same journal

A Positron Range Correction with Texture Preservation Framework in PET Imaging.

ArXiv·2026
Same journal

Automated optimization of force field parameters against ensemble-averaged measurements with Bayesian Inference of Conformational Populations.

ArXiv·2026
Same journal

Droplet Fusion as a Relaxation Process: Comparison with Shape Recovery of Newtonian and Viscoelastic Droplets.

ArXiv·2026
Same journal

Ridge-filter crosstalk in conformal proton FLASH planning: dependence on beamlet pitch and iterative mitigation.

ArXiv·2026
Same journal

Electrochemical DNA Hairpin Sensors for Differentiating Small Molecule Intercalation from Minor Groove Binding.

ArXiv·2026
See all related articles

Related Experiment Video

Updated: Aug 10, 2025

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

16.1K

Comprehensive and User-Analytics-Friendly Cancer Patient Database for Physicians and Researchers.

Ali Firooz1, Avery T Funkhouser2, Julie C Martin3

  • 1College of Engineering and Computing, University of South Carolina, Columbia, SC, USA.

Arxiv
|February 13, 2023
PubMed
Summary
This summary is machine-generated.

A new database integrates cancer patient data, including gene mutations and glycomic profiles, to help doctors personalize treatments. This tool aids in identifying "molecular signatures" for better cancer care and prognosis.

Keywords:
Artificial IntelligenceCancerCancer-Critical GeneDatabaseGalectinGlycanMachine LearningMutationMySQL

More Related Videos

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

9.0K
Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer
09:40

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer

Published on: August 2, 2024

2.8K

Related Experiment Videos

Last Updated: Aug 10, 2025

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

16.1K
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

9.0K
Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer
09:40

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer

Published on: August 2, 2024

2.8K

Area of Science:

  • Oncology
  • Bioinformatics
  • Genomics

Background:

  • Cancer development and progression are influenced by multiple factors, including patient health, genetic mutations, comorbidities, and environment.
  • Individualized cancer treatment requires integrating diverse patient data for effective clinical decision-making.
  • Current data management often lacks a unified approach for analyzing multifactorial cancer influences.

Conclusions:

  • The developed database provides a novel framework for analyzing molecular and clinical patterns in cancer.
  • This integrated approach enhances opportunities for improved cancer diagnosis and prognosis.
  • The interactive and growing nature of the database supports ongoing research in personalized oncology.