Trends in breast cancer incidence rates by race/ethnicity: Patterns by stage, socioeconomic position, and geography in the United States, 1999‐2017

Cancer ◽  
2021 ◽  
Author(s):  
Maneet Kaur ◽  
Corinne E. Joshu ◽  
Kala Visvanathan ◽  
Avonne E. Connor
Keyword(s):  
Breast Cancer ◽  
United States ◽  
Cancer Incidence ◽  
Socioeconomic Position ◽  
Breast Cancer Incidence ◽  
The United States ◽  
Incidence Rates ◽  
Race Ethnicity ◽  
Cancer Incidence Rates

Incidence of Invasive Breast Cancer by Hormone Receptor Status From 1992 to 1998

2003 ◽  
Vol 21 (1) ◽  
pp. 28-34 ◽  
Author(s):  
Christopher I. Li ◽  
Janet R. Daling ◽  
Kathleen E. Malone
Keyword(s):  
Breast Cancer ◽  
United States ◽  
Cancer Incidence ◽  
Hormone Receptor ◽  
Breast Cancer Incidence ◽  
The United States ◽  
Incidence Rates ◽  
Hormone Receptor Status ◽  
Receptor Status ◽  
Cancer Incidence Rates

Purpose: Between 1987 and 1998, breast cancer incidence rates rose 0.5%/yr in the United States. A question of potential etiologic and clinical importance is whether the hormone receptor status of breast tumors is also changing over time. This is because hormone receptor status may reflect different etiologic pathways and is useful in predicting response to adjuvant therapy and prognosis. Methods: Age-adjusted, age-specific breast cancer incidence rates by estrogen receptor (ER) and progesterone receptor (PR) status from 1992 to 1998 were obtained and compared from 11 population-based cancer registries in the United States that participate in the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) Program. Results: From 1992 to1998, the overall proportion of breast cancers that were ER-positive and PR-positive increased from 75.4% to 77.5% (P = .0002) and from 65.0% to 67.7% (P < .0001), respectively, continuing trends observed before 1992. These increases were limited to women 40 to 69 years of age. The proportions of ER-positive/PR-positive tumors increased from 56.7% to 62.3% (P = .0010) among 40- to 49-year-olds, from 58.0% to 63.2% (P = .0002) among 50- to 59-year-olds, and from 63.2% to 67.9% (P = .0020) among 60- to 69-year-olds. Conclusion: From 1992 to 1998, the proportion of tumors that are hormone receptor–positive rose as the proportion of hormone receptor–negative tumors declined. Because the incidence rates of hormone receptor–negative tumors remained fairly constant over these years, the overall rise in breast cancer incidence rates in the United States seems to be primarily a result of the increase in the incidence of hormone receptor–positive tumors. Hormonal factors may account for this trend.

scholarly journals Cervical Cancer Incidence Rates in Texas Counties 1995–2015

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Nicholas Salas
Keyword(s):  
United States ◽  
Cervical Cancer ◽  
Spatial Distribution ◽  
Cancer Incidence ◽  
The United States ◽  
Incidence Rates ◽  
The Political ◽  
Cervical Cancer Incidence ◽  
Race Ethnicity ◽  
Cancer Incidence Rates

As of 2014, Texas has the 6th highest incidence rate and the 5th highest mortality rate of cervical cancer in the nation. In addition, Texas ranks 3rd to last in the United States in human papilloma (HPV) vaccinations, which helps prevent one of the leading causes of cervical cancer. Cervical cancer incidence rates in Texas remain high, despite it becoming one the most successfully preventable treatable cancers in the United States due to a combination of screenings and HPV vaccinations. Furthermore, spatial distribution of cervical cancer is unknown among Texas counties. This study will follow the political ecology model to elaborate on the political, historical, social, and economic factors that may explain why HPV vaccinations are low and the incidence rate remains high despite the interventions available to people in Texas. This study will examine the geography of cervical cancer in Texas counties from 1995 - 2015 as well as its relationship with religious adherence, socioeconomic status, race/ethnicity, and uninsured rates. I will use a bivariate correlation to relate these factors with cancer incidence rates and ArcMap to create maps to illustrate the spatial distribution of these diseases. The data will be obtained from the Texas Cancer Registry, Texas County Health Rankings 2018, and the Association of Religion Data (CDC) Archives (ARDA). I expect that cervical cancer rates will decline after the introduction of the HPV vaccine in 2007, but areas with higher religious adherence will have higher rates of cervical cancer. In addition, I expect that uninsured rates, race/ethnicity, and socioeconomic factors could possibly impact cervical cancer incidence rates.

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