Analysis of breast cancer subtypes could lead to better risk stratification

Annual Report to the Nation on the Status of Cancer, 1975-2011, Featuring Incidence of Breast Cancer Subtypes by Race/Ethnicity, Poverty, and State

For the first time, researchers have used national data to determine the incidence of the four major molecular subtypes of breast cancer by age, race/ethnicity, poverty level, and several other factors.  These four subtypes respond differently to treatment and have different survival rates.  The new data will help researchers more accurately stratify breast cancer by clinically relevant degrees of risk and potentially have an impact on breast cancer treatment. Moreover, armed with this information, women will be able to better understand the implications for their health based on their breast cancer subtype.

New analysis of breast cancer subtypes could lead to better risk stratification, cdc, March 30, 2015.

The four major molecular subtypes are categorized according to their hormone receptor (HR) status, meaning a chemical receptor lying on breast cancer cells that reacts to hormones such as estrogen. Categorization is also dependent on a tumor cell’s activity around the HER2 gene. Both factors can affect how a tumor acts and might be treated, experts say.

The four tumor types are:

  1. Luminal A (HR+/HER2-),
  2. Luminal B (HR+/HER2+),
  3. HER2-enriched (HR-/HER2+),
  4. triple negative (HR-/HER2-).

Abstract

Annual Report to the Nation on the Status of Cancer, 1975-2011, Featuring Incidence of Breast Cancer Subtypes by Race/Ethnicity, Poverty, and State, Journal of National Cancer Institute, Volume 107, Issue 6 10.1093/jnci/djv048, February 10, 2015.

Background:
The American Cancer Society (ACS), Centers for Disease Control and Prevention (CDC), National Cancer Institute (NCI), and North American Association of Central Cancer Registries (NAACCR) collaborate annually to produce updated, national cancer statistics. This Annual Report includes a focus on breast cancer incidence by subtype using new, national-level data.

Methods:
Population-based cancer trends and breast cancer incidence by molecular subtype were calculated. Breast cancer subtypes were classified using tumor biomarkers for hormone receptor (HR) and human growth factor-neu receptor (HER2) expression.

Results:
Overall cancer incidence decreased for men by 1.8% annually from 2007 to 2011. Rates for women were stable from 1998 to 2011. Within these trends there was racial/ethnic variation, and some sites have increasing rates. Among children, incidence rates continued to increase by 0.8% per year over the past decade while, like adults, mortality declined. Overall mortality has been declining for both men and women since the early 1990’s and for children since the 1970’s. HR+/HER2- breast cancers, the subtype with the best prognosis, were the most common for all races/ethnicities with highest rates among non-Hispanic white women, local stage cases, and low poverty areas (92.7, 63.51, and 98.69 per 100000 non-Hispanic white women, respectively). HR+/HER2- breast cancer incidence rates were strongly, positively correlated with mammography use, particularly for non-Hispanic white women (Pearson 0.57, two-sided P < .001). Triple-negative breast cancers, the subtype with the worst prognosis, were highest among non-Hispanic black women (27.2 per 100000 non-Hispanic black women), which is reflected in high rates in southeastern states.

Conclusions:
Progress continues in reducing the burden of cancer in the United States. There are unique racial/ethnic-specific incidence patterns for breast cancer subtypes; likely because of both biologic and social risk factors, including variation in mammography use. Breast cancer subtype analysis confirms the capacity of cancer registries to adjust national collection standards to produce clinically relevant data based on evolving medical knowledge.

Author: DES Daughter

Activist, blogger and social media addict committed to shedding light on a global health scandal and dedicated to raise DES awareness.

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