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Cancer Prevention

Overview of attention for book
Cover of 'Cancer Prevention'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Favorable View: Progress in Cancer Prevention and Screening
  3. Altmetric Badge
    Chapter 2 Genetic Risk Profiles for Cancer Susceptibility and Therapy Response
  4. Altmetric Badge
    Chapter 3 Tumor Promotion as a Target of Cancer Prevention
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    Chapter 4 Insulin-Like Growth Factor-Related Signaling and Cancer Development
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    Chapter 5 Cytokines Are a Therapeutic Target for the Prevention of Inflammation-Induced Cancers
  7. Altmetric Badge
    Chapter 6 Prevention of Hepatocellular Carcinoma in Chronic Viral Hepatitis Patients with Cirrhosis by Carotenoid Mixture
  8. Altmetric Badge
    Chapter 7 Cox-2 and Cancer Chemoprevention: Picking up the Pieces
  9. Altmetric Badge
    Chapter 8 Human Papillomavirus Vaccine: A New Chance to Prevent Cervical Cancer
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    Chapter 9 Prevention and early detection of ovarian cancer: mission impossible?
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    Chapter 10 Prevention of Prostate Cancer: More Questions than Data
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    Chapter 11 Primary Prevention of Breast Cancer by Hormone-Induced Differentiation
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    Chapter 12 The Genomic Signature of Breast Cancer Prevention
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    Chapter 13 Estrogen Deprivation for Breast Cancer Prevention
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    Chapter 14 Primary Dietary Prevention: Is the Fiber Story Over?
  16. Altmetric Badge
    Chapter 15 Prevention and Early Detection of Colorectal Cancer — New Horizons
  17. Altmetric Badge
    Chapter 16 New Perspectives on Melanoma Pathogenesis and Chemoprevention
  18. Altmetric Badge
    Chapter 17 Vitamin D — An Emerging Issue in Skin Cancer Control. Implications for Public Health Practice Based on the Australian Experience
  19. Altmetric Badge
    Chapter 18 Are Gliomas Preventable?
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    Chapter 19 Angiogenesis and Cancer Prevention: A Vision
  21. Altmetric Badge
    Chapter 21 Uncovering Novel Targets for Cancer Chemoprevention
  22. Altmetric Badge
    Chapter 22 Conference Summary
Attention for Chapter 9: Prevention and early detection of ovarian cancer: mission impossible?
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#36 of 171)
  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

patent
1 patent
wikipedia
5 Wikipedia pages

Citations

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5 Dimensions

Readers on

mendeley
67 Mendeley
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Chapter title
Prevention and early detection of ovarian cancer: mission impossible?
Chapter number 9
Book title
Cancer Prevention
Published in
Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer, February 2007
DOI 10.1007/978-3-540-37696-5_9
Pubmed ID
Book ISBNs
978-3-54-037695-8, 978-3-54-037696-5
Authors

Bast RC Jr, Brewer M, Zou C, Hernandez MA, Daley M, Ozols R, Lu K, Lu Z, Badgwell D, Mills GB, Skates S, Zhang Z, Chan D, Lokshin A, Yu Y, Robert C. Bast, Molly Brewer, Changping Zou, Mary A. Hernandez, Mary Daley, Robert Ozols, Karen Lu, Zhen Lu, Donna Badgwell, Gordon B. Mills, Steven Skates, Zhen Zhang, Dan Chan, Anna Lokshin, Yinhua Yu, Bast, Robert C., Brewer, Molly, Zou, Changping, Hernandez, Mary A., Daley, Mary, Ozols, Robert, Lu, Karen, Lu, Zhen, Badgwell, Donna, Mills, Gordon B., Skates, Steven, Zhang, Zhen, Chan, Dan, Lokshin, Anna, Yu, Yinhua

Abstract

Epithelial ovarian cancer is neither a common nor a rare disease. In the United States, the prevalence of ovarian cancer in postmenopausal women (1 in 2,500) significantly affects strategies for prevention and detection. If chemoprevention for ovarian cancer were provided to all women over the age of 50, side effects would have to be minimal in order to achieve an acceptable ratio of benefit to risk. This ratio might be improved by identifying subsets of individuals at increased risk or by bundling prevention of ovarian cancer with treatment for other more prevalent conditions. Approximately 10% of ovarian cancers are familial and relate to mutations of BRCA1, BRCA2, and mismatch repair genes. More subtle genetic factors are being sought in women with apparently sporadic disease. Use of oral contraceptive agents for as long as 5 years decreases the risk of ovarian cancer in later life by 50%. In one study, fenretinide (4-HPR) delayed development of ovarian cancer in women at increased risk of developing breast and ovarian cancer. Accrual to confirmatory studies has been prohibitively slow and prophylactic oophorectomy is recommended for women at increased genetic risk. Vaccines may have a role for prevention of several different cancers. Breast and ovarian cancers express mucins that could serve as targets for vaccines to prevent both cancers. Early detection of ovarian cancer requires a strategy with high sensitivity (> 75% for stage I disease) and very high specificity (> 99.6%) to achieve a positive predictive value of 10%. Transvaginal sonography (TVS) has achieved these values in some studies, but is limited by the cost of annual screening in a general population. Two-stage strategies that incorporate both serum markers and TVS promise to be more cost-effective. An algorithm has been developed that calculates risk of ovarian cancer based on serial CA125 values and refers patients at highest risks for TVS. Use of the algorithm is currently being evaluated in a trial with 200,000 women in the United Kingdom that will critically test the ability of a two-stage screening strategy to improve survival in ovarian cancer. Whatever the outcome, additional serum markers will be required to detect all patients in an initial phase of screening. More than 30 serum markers have been evaluated alone and in combination with CA125. Recent candidates include: HE4, mesothelin, M-CSF, osteopontin, kallikrein(s) and soluble EGF receptor. Proteomic approaches have been used to define a distinctive pattern of peaks on mass spectroscopy or to identify a limited number of critical markers that can be assayed by more conventional methods. Several groups are placing known markers on multiplex platforms to permit simultaneous assay of multiple markers with very small volumes of serum. Mathematical techniques are being developed to analyze combinations of marker levels to improve sensitivity and specificity. In the future, serum markers should improve the sensitivity of detecting recurrent disease as well as facilitate earlier detection of ovarian cancer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Spain 1 1%
Netherlands 1 1%
Unknown 63 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 22%
Student > Master 10 15%
Student > Ph. D. Student 9 13%
Student > Bachelor 5 7%
Student > Postgraduate 4 6%
Other 11 16%
Unknown 13 19%
Readers by discipline Count As %
Medicine and Dentistry 23 34%
Agricultural and Biological Sciences 8 12%
Engineering 6 9%
Biochemistry, Genetics and Molecular Biology 4 6%
Nursing and Health Professions 3 4%
Other 6 9%
Unknown 17 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 May 2022.
All research outputs
#4,694,486
of 22,780,165 outputs
Outputs from Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer
#36
of 171 outputs
Outputs of similar age
#14,648
of 77,298 outputs
Outputs of similar age from Recent results in cancer research Fortschritte der Krebsforschung Progrès dans les recherches sur le cancer
#2
of 3 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 171 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 77,298 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.