Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cancer Survival Analysis

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...

Comparing the Survival Analysis of Two or More Groups

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...

Tumor Progression

Tumor Progression

Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...

You might also read

Related Articles

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

Sort by

Same author

Impact of Population-Based Pathogenic Variant Testing on Risk-Based Breast Screening Recommendations: A Secondary Analysis of the WISDOM Study.

JAMA oncology·2026

Same author

WISDOM randomized trial comparing risk-based versus annual breast cancer screening: study cohort characteristics and design.

NPJ breast cancer·2026

Same author

Clinical Implications of the Duffy-Null Genotype in Patients on Azathioprine or Methotrexate in the All of Us Cohort.

The journal of applied laboratory medicine·2026

Same author

Multi-Ancestry Epigenome-Wide Meta-Analysis Identifies Novel Bulk and Cell-Type-Specific Epigenetic Markers of Asthma with Severe Exacerbations.

medRxiv : the preprint server for health sciences·2026

Same author

Capturing Latino Health Disparities: Lessons from Mail- and Community-Based Population Health Surveys in California.

Cancer research communications·2026

Same author

Circulating levels of insulin-like growth factor I (IGF-I) and risk of multiple myeloma: An observational and Mendelian randomisation study.

British journal of haematology·2026

Search research articles

Related Experiment Videos

Population differences in breast cancer severity.

Laura Fejerman¹, Elad Ziv

¹Division of General Internal Medicine, Department of Medicine, Institute for Human Genetics and Helen Diller Family Comprehensive Cancer Center at UCSF, 2200 Post Street, San Francisco, CA 94143-1732, USA. laura.fejerman@ucsf.edu

Pharmacogenomics

|February 29, 2008

Summary

This summary is machine-generated.

Breast cancer affects different populations unequally, with minority women facing higher mortality despite lower incidence. Understanding tumor subtypes and combined genetic/environmental factors is crucial for addressing these disparities.

Related Experiment Videos

Area of Science:

Oncology
Epidemiology
Genetics

Background:

Breast cancer incidence and mortality rates differ significantly across racial and ethnic groups.
Minority women, including African-American, Hispanic, Asian, and Native American women, experience higher mortality rates compared to non-Hispanic white women, despite lower incidence.
Socioeconomic factors (education, income, insurance), lifestyle (mammography use, diet, breastfeeding), and parity are implicated in these variations.

Purpose of the Study:

To investigate the reasons behind population-specific variations in breast cancer incidence and mortality.
To explore the role of breast cancer heterogeneity, including different tumor subtypes, in explaining these disparities.
To identify the need for studies that integrate genetic and environmental factors across diverse populations.

Main Methods:

Review of existing literature on breast cancer incidence, mortality, and risk factors across different populations.
Analysis of potential contributing factors such as socioeconomic status, healthcare access, lifestyle choices, and parity.
Examination of the concept of breast cancer as a heterogeneous disease with varying tumor subtypes and associated risks.

Main Results:

Population-based differences in breast cancer incidence and mortality are evident, with notable disparities for minority women.
Social, economic, and lifestyle factors contribute to observed variations.
Current genetic susceptibility studies do not fully explain these population-level differences in breast cancer outcomes.

Conclusions:

Breast cancer severity varies by population, necessitating further research into underlying causes.
The heterogeneity of breast cancer, with distinct tumor subtypes, likely plays a role in population-specific incidence and mortality rates.
Future research should focus on integrated analyses of genetic and environmental variables in diverse populations to elucidate breast cancer disparities.