The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Toward the Primary Prevention of Cancer
Abstract
This is the threshold of an era when many of the most prevalent human cancers can, to a significant extent, be prevented through life-style changes or medical interventions. For lung cancer, the leading cause of cancer deaths in the United States, the major cause, cigarette smoking, is known and strategies for reducing smoking are slowly succeeding. Dietary changes can reduce the risk of developing large bowel cancer, the second most common cancer overall. The etiology of the major cancer in women, cancer of the breast, is sufficiently well understood that large-scale medical intervention trials are imminent. Recent changes in the incidence and mortality of these and the other major human cancers are reviewed with a brief explanation as to why these changes have occurred, followed by a summary of the state of knowledge regarding the major causes of cancer.
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Citations
Cites
p53 Mutations in Human Cancers
Hollstein, M., Sidransky, D., Vogelstein, B., & Harris, C. C. (1991) · Science · doi:10.1126/science.1905840 · Cited by 8,018
Dietary fat and the risk of breast cancer.
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A Clinical Trial of Beta Carotene to Prevent Basal-Cell and Squamous-Cell Cancers of the Skin
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Cited by
Actual causes of death in the United States
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Endocrine-Disrupting Chemicals: An Endocrine Society Scientific Statement
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Diet and Health: What Should We Eat?
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Cytochrome P450-mediated metabolism of estrogens and its regulation in human
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Metadata
- Authors
- Henderson, B. E., Ross, R. K., & Pike, M. C.
- Venue
- Science
- Published
- 1991-11-22
- Volume
- 254
- Issue
- 5035
- Pages
- 1131-1138
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2011592069
- Cited by
- 355
- References
- 5
- FWCI
- 13.06
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
