The DOI matches its Crossref record; 47 of the 48 references it cites were found in a registry or an index.
Escape from hsa-miR-519c enables drug-resistant cells to maintain high expression of ABCG2
Open accessPublished version of a preprint
Abstract
Overexpression of ABCG2 has been reported in cell lines selected for drug resistance and it is widely believed to be important in the clinical pharmacology of anticancer drugs. We and others have previously identified and validated two microRNAs (miRNA; hsa-miR-519c and hsa-miR-520h) targeting ABCG2. In this study, the shortening of the ABCG2 3′ untranslated region (3′UTR) was found to be a common phenomenon in several ABCG2-overexpressing resistant cell lines, which as a result removes the hsa-miR-519c binding site and its repressive effects on mRNA stability and translation blockade, thereby contributing to drug resistance. On the other hand, reduced expression of hsa-miR-520h, previously thought to have allowed ABCG2 overexpression, was found to be caused by the sequestering of the miRNA by the highly expressed ABCG2. In drug-sensitive cells, inhibitors against hsa-miR-519c and hsa-miR-520h could augment the cytotoxic effect of mitoxantrone, suggesting a substantial role for both miRNAs in controlling ABCG2 level and thereby anticancer drug response. However, in drug-resistant cells, altering the levels of the two miRNAs did not have any effect on sensitivity to mitoxantrone. Taken together, these studies suggest that in ABCG2-overexpressing drug-resistant cells, hsa-miR-519c is unable to affect ABCG2 expression because the mRNA lacks its binding site, whereas hsa-miR-520h is sequestered and unable to limit ABCG2 expression. Given the recent observation that a truncated 3′UTR is also observed in ABCG2-overexpressing human embryonic stem cells, our results in drug-resistant cell lines suggest that 3′UTR truncation is a relatively common mechanism of ABCG2 regulation. [Mol Cancer Ther 2009;8(10):2959–68]
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“where miR-519c has been demonstrated to be highly associated with the reversion of MDR by targeting the ABCG2 mRNA.19–21”
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
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
The functions of animal microRNAs
Ambros, V. (2004) · Nature · doi:10.1038/nature02871 · Cited by 10,728
New Colorimetric Cytotoxicity Assay for Anticancer-Drug Screening
Skehan, P., Storeng, R., Scudiero, D. A., Monks, A. P., McMahon, J., Vistica, D. T., Warren, J. T., Bokesch, H. R., Kenney, S., & Boyd, M. R. (1990) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/82.13.1107 · Cited by 9,842
Non-coding RNAs and cancer: microRNAs and beyond
Raia, R. M., & Călin, G. A. (2011) · Journal of Nucleic Acids Investigation · doi:10.4081/jnai.2011.e5 · Cited by 3,394
A multidrug resistance transporter from human MCF-7 breast cancer cells
Doyle, L. A., Yang, W., Abruzzo, L. V., Krogmann, T. A., Gao, Y., Rishi, A. K., & Ross, D. D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.26.15665 · Cited by 2,372
Specificity of microRNA target selection in translational repressionPreprint
Doench, J. G., & Sharp, P. A. (2004) · Genes & Development · doi:10.1101/gad.1184404 · Cited by 1,685
The Widespread Impact of Mammalian MicroRNAs on mRNA Repression and Evolution
Farh, K. K.-H., Grimson, A., Jan, C., Lewis, B. P., Johnston, W. K., Lim, L. P., Burge, C. B., & Bartel, D. P. (2005) · Science · doi:10.1126/science.1121158 · Cited by 1,484
Sandberg, R., Neilson, J. R., Sarma, A., Sharp, P. A., & Burge, C. B. (2008) · Science · doi:10.1126/science.1155390 · Cited by 1,349
Yang, H., Kong, W. W., He, L., Zhao, J., O’Donnell, J. D., Wang, J., Wenham, R. M., Coppola, D., Kruk, P. A., Nicosia, S. V., et al. (2008) · Cancer Research · doi:10.1158/0008-5472.can-07-2488 · Cited by 1,051
Miyake, K., Mickley, L. A., Litman, T., Zhan, Z., Robey, R. W., Cristensen, B., Brangi, M., Greenberger, L., Dean, M. C., Fojo, T., et al. (1999) · PubMed · Cited by 819
Self-citation
Cited by
Sorted by citations
Items 101–112 of 112
Crosstalk Between Iron Homeostasis And Nitric Oxide Signalling: Impact On Cancer Cell Viability
Ariffin, M. (2012) · Otago University Research Archive (University of Otago)
[Chronic hypocalcemic encephalopathy in idiopathic hypoparathyroidism].
Ovcharova, P., Raĭchev, R., & Kostov, K. (1966) · PubMed
Regulation of ABCG2 Expression in the Lactating Mammary Gland
Wu, A. M. L. (2014) · TSpace (University of Toronto)
Jungsuwadee, P., & Vore, M. E. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.99186-4
Su, J.-L., Chen, P. B., Chen, Y.-H., Chen, S.-C., Chang, Y., Jan, Y., Cheng, X., Hsiao, M., & Hung, M. (2023) · doi:10.1158/0008-5472.22383255
Su, J.-L., Chen, P. B., Chen, Y.-H., Chen, S.-C., Chang, Y., Jan, Y., Cheng, X., Hsiao, M., & Hung, M. (2023) · doi:10.1158/0008-5472.22383255.v1
Malviya, R., Singh, A. K., & Yadav, D. (2023) · Wiley eBooks · doi:10.1002/9781394209866.ch6
HUGL and the Role of Polarity in Breast Cancer
Russ, A. D. (2013) · UA Campus Repository (The University of Arizona)
Regulation, Function, and Clinical Relevance of ABCG2 in Prostate Cancer
Sobek, K. M. (2013) · D-Scholarship@Pitt (University of Pittsburgh)
Mécanismes épigénétiques associés à la progression et à la chimiorésistance des sarcomes osseux
Jacques, C. (2016) · theses.fr (ABES) · doi:10.70675/6683be42z2eb1z41f0z9807z56236b95837b
Chen, X., Huang, Q., Li, R., Cao, L.-Q., Gong, K., Wang, N., Ashby, C. R., Gu, J., & Chen, Z. (2026) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2026.109126
Metadata
- Authors
- To, K. K. W., Robey, R. W., Knutsen, T., Zhan, Z., Ried, T., & Bates, S. E.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- To, Kenneth K.W.
- Venue
- Molecular Cancer Therapeutics
- Published
- 2009-10-01
- Volume
- 8
- Issue
- 10
- Pages
- 2959-2968
- ISSN
- 1535-7163 (ISSN-L)
- 1538-8514
- PMC
- PMC3680354
- OpenAlex
- W2137545438
- Cited by
- 112
- References
- 48
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 7 · 2022: 3 · 2021: 3 · 2020: 6 · 2019: 5 · 2018: 5 · 2017: 5 · 2016: 9 · 2015: 6 · 2014: 16 · 2013: 11 · 2012: 13
- FWCI
- 5.16
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Molecular Cancer Therapeutics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute (Z01BC010622)
- Topics
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Health Sciences › Medicine › Microbiology (medical) › Antibiotic Resistance in Bacteria
- Keywords
- ABCG2, microRNA regulation, drug resistance, mitoxantrone, mRNA stability, microRNA sequestration, anticancer drug response
- MeSH terms
- ATP Binding Cassette Transporter, Subfamily G, Member 2, Chromosomes, Human, Drug Screening Assays, Antitumor, Humans, Mitoxantrone, Neoplasm Proteins, RNA, Messenger, Gene Rearrangement, Gene Expression Regulation, Neoplastic, Sequence Analysis, DNA, ATP-Binding Cassette Transporters, Drug Resistance, Neoplasm, 3' Untranslated Regions, Gene Silencing, RNA Stability, MicroRNAs, Cell Line, Tumor
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
