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Expression of OATP Family Members in Hormone-Related Cancers: Potential Markers of Progression

Overview of attention for article published in PLOS ONE, May 2011
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Title
Expression of OATP Family Members in Hormone-Related Cancers: Potential Markers of Progression
Published in
PLOS ONE, May 2011
DOI 10.1371/journal.pone.0020372
Pubmed ID
Authors

Heather Pressler, Tristan M. Sissung, David Venzon, Douglas K. Price, William D. Figg

Abstract

The organic anion transporting polypeptide (OATP) family of transporters has been implicated in prostate cancer disease progression probably by transporting hormones or drugs. In this study, we aimed to elucidate the expression, frequency, and relevance of OATPs as a biomarker in hormone-dependent cancers. We completed a study examining SLCO1B3, SLCO1B1 and SLCO2B1 mRNA expression in 381 primary, independent patient samples representing 21 cancers and normal tissues. From a separate cohort, protein expression of OATP1B3 was examined in prostate, colon, and bladder tissue. Based on expression frequency, SLCO2B1 was lower in liver cancer (P = 0.04) which also trended lower with decreasing differentiation (P = 0.004) and lower magnitude in pancreatic cancer (P = 0.05). SLCO2B1 also had a higher frequency in thyroid cancer (67%) than normal (0%) and expression increased with stage (P = 0.04). SLCO1B3 was expressed in 52% of cancerous prostate samples and increased SLCO1B3 expression trended with higher Gleason score (P = 0.03). SLCO1B3 expression was also higher in testicular cancer (P = 0.02). SLCO1B1 expression was lower in liver cancer (P = 0.04) which trended lower with liver cancer grade (P = 0.0004) and higher with colon cancer grade (P = 0.05). Protein expression of OATP1B3 was examined in normal and cancerous prostate, colon, and bladder tissue samples from an independent cohort. The results were similar to the transcription data, but showed distinct localization. OATPs correlate to differentiation in certain hormone-dependent cancers, thus may be useful as biomarkers for assessing clinical treatment and stage of disease.

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Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 2%
Unknown 49 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 26%
Student > Bachelor 10 20%
Student > Ph. D. Student 8 16%
Student > Master 6 12%
Professor > Associate Professor 2 4%
Other 4 8%
Unknown 7 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 22%
Agricultural and Biological Sciences 10 20%
Medicine and Dentistry 7 14%
Pharmacology, Toxicology and Pharmaceutical Science 6 12%
Chemistry 2 4%
Other 6 12%
Unknown 8 16%