The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
27-Hydroxycholesterol Links Hypercholesterolemia and Breast Cancer Pathophysiology
Open accessAbstract
Cholesterol and Cancer: Obesity and high cholesterol levels are associated with an increased risk of breast cancer in post-menopausal women. Nelson et al. (p. 1094 ) found that a specific metabolite of cholesterol, 27-hydroxycholesterol (27HC), promoted tumor growth and metastasis in mouse models of mammary cancer by serving as a partial agonist for the estrogen receptor and the liver X receptor. The most aggressive human breast cancers were found to express the highest level of the enzyme that converts cholesterol to 27HC, suggesting that 27HC produced within tumors (in addition to circulating 27HC) may contribute to tumorigenesis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Macrophage polarization in tumour progression
Sica, A., Larghi, P., Mancino, A., Rubino, L., Porta, C., Totaro, M. G., Rimoldi, M., Biswas, S. K., Allavena, P., & Mantovani, A. (2008) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2008.03.004 · Cited by 1,241
Sullivan, P. M., Mezdour, H., Aratani, Y., Knouff, C., Najib, J., Reddick, R. L., Quarfordt, S. H., & Maeda, N. (1997) · Journal of Biological Chemistry · doi:10.1074/jbc.272.29.17972 · Cited by 575
Self-citationStatin Prescriptions and Breast Cancer Recurrence Risk: A Danish Nationwide Prospective Cohort Study
Ahern, T. P., Pedersen, L., Tarp, M., Cronin-Fenton, D. P., Garne, J. P., Silliman, R. A., Sorensen, H. T., & Lash, T. L. (2011) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djr291 · Cited by 387
Mammary tumor growth and pulmonary metastasis are enhanced in a hyperlipidemic mouse model
Alikhani, N., Ferguson, R. D., Novosyadlyy, R., Gallagher, E. J., Scheinman, E. J., Yakar, S., & LeRoith, D. (2013) · Oncogene · doi:10.1038/onc.2012.113 · Cited by 146
Cited by
Shared Risk Factors in Cardiovascular Disease and Cancer
Koene, R. J., Prizment, A. E., Blaes, A., & Konety, S. H. (2016) · Circulation · doi:10.1161/circulationaha.115.020406 · Cited by 1,494
Natural killer cells in cancer biology and therapy
Wu, S.-Y., Fu, T., Jiang, Y.-Z., & Shao, Z.-M. (2020) · Molecular Cancer · doi:10.1186/s12943-020-01238-x · Cited by 863
Obesity and diabetes: the increased risk of cancer and cancer-related mortality
Gallagher, E. J., & LeRoith, D. (2015) · Physiological Reviews · doi:10.1152/physrev.00030.2014 · Cited by 806
The TAM family: phosphatidylserine-sensing receptor tyrosine kinases gone awry in cancer
Graham, D. K., DeRyckere, D., Davies, K. D., & Earp, H. S. (2014) · Nature Reviews Cancer · doi:10.1038/nrc3847 · Cited by 698
Lipids and cancer: Emerging roles in pathogenesis, diagnosis and therapeutic intervention
Butler, L. M., Perone, Y., Dehairs, J., Lupien, L. E., de Laat, V., Talebi, A., Loda, M., Kinlaw, W. B., & Swinnen, J. V. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.07.013 · Cited by 589
Metadata
- Authors
- Nelson, E. R., Wardell, S. E., Jasper, J. S., Park, S., Suchindran, S., Howe, M. K., Carver, N. J., Pillai, R. V., Sullivan, P. M., Sondhi, V., Umetani, M., Geradts, J., & McDonnell, D. P.
- Venue
- Science
- Published
- 2013-11-29
- Volume
- 342
- Issue
- 6162
- Pages
- 1094-1098
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2070432942
- Cited by
- 839
- References
- 4
- FWCI
- 18.83
- Type
- journal article
- Language
- en
- Open access
- green
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.