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

6.3K
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...
6.3K
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

9.0K
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.
There are several types of targeted therapies against...
9.0K
Cancer02:18

Cancer

55.2K
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.
55.2K
Treatment Resistant Cancers02:56

Treatment Resistant Cancers

3.8K
Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
3.8K
Cancer Therapies02:49

Cancer Therapies

10.5K
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...
10.5K
Cancer Survival Analysis01:21

Cancer Survival Analysis

807
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...
807

You might also read

Related Articles

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

Sort by
Same author

Deep Learning of Histopathology Predicts Outcomes After Surgery for Pancreatic Cancer.

JCO clinical cancer informatics·2026
Same author

Clonal evolutionary analysis reveals patterns of malignant transformation of Intraductal Papillary Mucinous Neoplasms of the pancreas.

Nature communications·2026
Same author

Divergent trajectories to structural diversity impact patient survival in high grade serous ovarian cancer.

Nature communications·2025
Same author

Improving outcomes of patients with pancreatic cancer.

Nature reviews. Clinical oncology·2025
Same author

Identification of spatially-resolved markers of malignant transformation in Intraductal Papillary Mucinous Neoplasms.

Nature communications·2024
Same author

Roflumilast inhibits tumor growth and migration in STK11/LKB1 deficient pancreatic cancer.

Cell death discovery·2024

Related Experiment Video

Updated: Mar 7, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
10:27

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts

Published on: July 25, 2020

8.0K

The road to precision oncology.

Andrew V Biankin1

  • 1Wolfson Wohl Cancer Research Centre, University of Glasgow, Glasgow, UK.

Nature Genetics
|February 25, 2017
PubMed
Summary

Precision medicine aims to tailor treatments using patient data. A new study demonstrates using knowledge banks for individual treatment decisions in acute myeloid leukemia.

Area of Science:

  • Oncology
  • Genomics
  • Bioinformatics

Background:

  • Precision medicine seeks to personalize patient care through integrated data analysis.
  • Challenges remain in translating population data into individual clinical decisions.
  • Acute myeloid leukemia (AML) treatment can benefit from tailored therapeutic strategies.

Purpose of the Study:

  • To illustrate the application of patient data knowledge banks in clinical decision-making.
  • To demonstrate a pathway toward achieving the goals of precision medicine in AML.
  • To explore the utility of data-driven insights for individualizing AML treatment.

Main Methods:

  • Development and utilization of a knowledge bank integrating molecular and clinical patient data.
  • Application of the knowledge bank to generate individualized treatment recommendations for AML patients.

More Related Videos

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

12.3K
Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
11:15

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Published on: September 20, 2016

25.2K

Related Experiment Videos

Last Updated: Mar 7, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
10:27

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts

Published on: July 25, 2020

8.0K
Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

12.3K
Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
11:15

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Published on: September 20, 2016

25.2K
  • Analysis of treatment outcomes based on data-informed decisions.

    • Main Results:

    • The study successfully utilized a patient data knowledge bank to inform treatment decisions.
    • Demonstrated feasibility of using integrated data for personalized AML therapy.
    • Showcased the potential for improved clinical decision-making through data aggregation.

    Conclusions:

    • Knowledge banks of patient data are a viable tool for precision medicine in AML.
    • This approach facilitates individually tailored clinical decisions, advancing personalized oncology.
    • Further research can refine data integration and decision-support systems for broader clinical application.