Cancer statistics, 2012
Open accessAbstract
Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths expected in the United States in the current year and compiles the most recent data on cancer incidence, mortality, and survival based on incidence data from the National Cancer Institute, the Centers for Disease Control and Prevention, and the North American Association of Central Cancer Registries and mortality data from the National Center for Health Statistics. A total of 1,638,910 new cancer cases and 577,190 deaths from cancer are projected to occur in the United States in 2012. During the most recent 5 years for which there are data (2004‐2008), overall cancer incidence rates declined slightly in men (by 0.6% per year) and were stable in women, while cancer death rates decreased by 1.8% per year in men and by 1.6% per year in women. Over the past 10 years of available data (1999‐2008), cancer death rates have declined by more than 1% per year in men and women of every racial/ethnic group with the exception of American Indians/Alaska Natives, among whom rates have remained stable. The most rapid declines in death rates occurred among African American and Hispanic men (2.4% and 2.3% per year, respectively). Death rates continue to decline for all 4 major cancer sites (lung, colorectum, breast, and prostate), with lung cancer accounting for almost 40% of the total decline in men and breast cancer accounting for 34% of the total decline in women. The reduction in overall cancer death rates since 1990 in men and 1991 in women translates to the avoidance of about 1,024,400 deaths from cancer. Further progress can be accelerated by applying existing cancer control knowledge across all segments of the population, with an emphasis on those groups in the lowest socioeconomic bracket. CA Cancer J Clin 2012. © 2012 American Cancer Society.
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About 90% of women diagnosed with breast cancer survive at least five years.
“of which 90% will survive for five years or longer (31)”
From Cancer Survivors in the United States: Prevalence across the Survivorship Trajectory and Implications for Care (2013) · cites this paper as [31]
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- Authors
- Siegel, R., Naishadham, D., & Jemal, A.
- Affiliations
- American Cancer Society (US)
- Venue
- CA: A Cancer Journal for Clinicians
- Publisher
- Wiley
- Published
- 2012-01
- Volume
- 62
- Issue
- 1
- Pages
- 10-29
- ISSN
- 0007-9235 (ISSN-L)
- 1542-4863
- OpenAlex
- W2165948908
- Cited by
- 10,679
- References
- 21
- Citations by year
- 2026: 17 · 2025: 42 · 2024: 84 · 2023: 110 · 2022: 171 · 2021: 254 · 2020: 295 · 2019: 373 · 2018: 476 · 2017: 653 · 2016: 813 · 2015: 1322 · 2014: 2044 · 2013: 2836 · 2012: 1174
- FWCI
- 1166.83
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- CA A Cancer Journal for Clinicians (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
- Health Sciences › Medicine › Reproductive Medicine › Science, Research, and Medicine
- Keywords
- cancer incidence, cancer mortality, cancer survival, cancer projections, racial and ethnic disparities, lung cancer, breast cancer, colorectal cancer, prostate cancer, cancer control, socioeconomic disparities, American Indians and Alaska Natives, African American men, Hispanic men
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, American Cancer Society, Child, Child, Preschool, Female, Humans, Infant, Male, Middle Aged, Morbidity, Neoplasms, Registries, Retrospective Studies, United States, Survival Rate, Age Distribution, Sex Distribution, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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