Related Experiment Video
Updated: Jul 11, 2025

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
Patient decisions regarding cancer gene panel testing: An exploratory study
Margaret M Emmet1, Yuchiao Chang2, Daniel C Chung1,3
1Center for Cancer Risk Assessment, Massachusetts General Hospital, Boston, Massachusetts, USA.
Journal of Genetic Counseling
|November 11, 2023
Summary
Most cancer patients choose large gene panels for genetic testing, but test selection is complex and influenced by factors like race and education. Disparities in cancer genetic testing persist.
Area of Science:
- Oncology
- Genetics
- Medical Sociology
Background:
- Multi-gene panel testing is increasingly used in cancer genetic counseling.
- Patient decision-making regarding specific panel selection is not fully understood.
- Understanding patient preferences is crucial for optimizing genetic counseling services.
Purpose of the Study:
- To investigate factors influencing patient choice of multi-gene panel tests in a cancer genetic counseling setting.
- To identify associations between patient demographics, concerns, and genetic testing decisions.
- To explore patient preferences for different types of gene panels.
Main Methods:
- Survey of 228 patients and their genetic counselors at a cancer genetic counseling clinic.
- Assessment of demographic and clinical characteristics, patient concerns, and session outcomes.
- Analysis of factors associated with the selection of specific multi-gene panel tests.
Main Results:
- 85.1% of patients pursued genetic testing, with 56.2% selecting large pan-cancer panels.
- White patients were more likely than non-white patients to undergo testing.
- Test choice was associated with the number of options offered, education, age, and NCCN Guidelines status, as well as concerns about screening and family dynamics.
- Patient income, cancer diagnosis, and family structure were not predictive of test choice.
Conclusions:
- Patients show a strong preference for large gene panels, but test selection is complex and difficult to predict.
- Results highlight existing disparities in cancer genetic testing access and uptake.
- Further research is needed to fully understand patient decision-making processes for multi-gene panel tests.
More Related Videos
Related Concept Videos
Cancer Survival Analysis
357
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...
357
Combination Therapies and Personalized Medicine
4.9K
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...
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...
4.9K
Genome-wide Association Studies-GWAS
13.5K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
13.5K

