The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
A micro‐RNA signature associated with race, tumor size, and target gene activity in human uterine leiomyomas
Abstract
Human uterine leiomyomas (ULMs) are the most common neoplasms of women. Many genes are dysregulated in ULMs and some of this dysregulation may be due to abnormal expression of micro‐RNAs (miRNAs). In this study, 55 ULMs and matched myometrium were collected from 41 patients for microarray‐based global miRNA expression analysis. Of 206 miRNAs examined, 45 miRNAs were significantly up‐ or down‐regulated in ULMs in comparison to the matched myometrium (P < 0.001). The top five dysregulated miRNAs in ULMs are the let‐7 family, miR‐21, miR‐23b, miR‐29b, and miR‐197. Four polycistronic clusters of miRNAs were either up‐ or down‐regulated, but not in a mixed pattern, indicative of coordinated regulation of these miRNAs. Significance analysis revealed that subsets of miRNAs were strongly associated with tumor sizes and race. By prediction analysis we identified some important tumorigenic genes previously identified in ULMs that may be targeted by the dysregulated miRNAs. HMGA2 was identified as one of target genes of the let‐7 family of miRNAs and has been found to be suppressed by let‐7 in vitro. (This article contains Supplementary material available at http://www.interscience.wiley.com/jpages/1045‐2257/suppmat.) © 2007 Wiley‐Liss, Inc.
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
In silico prediction of protein-protein interactions in human macrophages
Souiai, O., Guerfali, F., Ben Miled, S., Brun, C., & Benkahla, A. (2014) · BMC Research Notes · doi:10.1186/1756-0500-7-157 · Cited by 10,803
Significance analysis of microarrays applied to the ionizing radiation response
Tusher, V. G., Tibshirani, R., & Chu, G. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.091062498 · Cited by 10,568
A microRNA expression signature of human solid tumors defines cancer gene targets
Volinia, S., Calin, G. A., Liu, C.-G., Ambs, S., Cimmino, A., Petrocca, F., Visone, R., Iorio, M., Roldo, C., Ferracin, M., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510565103 · Cited by 5,697
Prediction of Mammalian MicroRNA Targets
Lewis, B. P., Shih, I.-H., Jones-Rhoades, M. W., Bartel, D. P., & Burge, C. B. (2003) · Cell · doi:10.1016/s0092-8674(03)01018-3 · Cited by 5,199
The 21-nucleotide let-7 RNA regulates developmental timing in Caenorhabditis elegans
Reinhart, B. J., Slack, F. J., Basson, M., Pasquinelli, A. E., Bettinger, J. C., Rougvie, A. E., Horvitz, H. R., & Ruvkun, G. (2000) · Nature · doi:10.1038/35002607 · Cited by 4,981
Identification of Novel Genes Coding for Small Expressed RNAs
Lagos-Quintana, M., Rauhut, R., Lendeckel, W., & Tuschl, T. (2001) · Science · doi:10.1126/science.1064921 · Cited by 4,956
TM4: a free, open-source system for microarray data management and analysis
Saeed, A. I., Sharov, V., White, J., Li, J., Liang, W., Bhagabati, N., Braisted, J., Klapa, M., Currier, T., Thiagarajan, M., et al. (2003) · BioTechniques · doi:10.2144/03342mt01 · Cited by 4,837
MicroRNA Gene Expression Deregulation in Human Breast Cancer
Iorio, M. V., Ferracin, M., Liu, C.-G., Veronese, A., Spizzo, R., Sabbioni, S., Magri, E., Pedriali, M., Fabbri, M., Campiglio, M., et al. (2005) · Cancer Research · doi:10.1158/0008-5472.can-05-1783 · Cited by 4,053
John, B., Enright, A. J., Aravin, A., Tuschl, T., Sander, C., & Marks, D. S. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020363 · Cited by 3,796
RAS Is Regulated by the let-7 MicroRNA Family
Johnson, S. M., Grosshans, H., Shingara, J., Byrom, M., Jarvis, R., Cheng, A., Labourier, E., Reinert, K. L., Brown, D., & Slack, F. J. (2005) · Cell · doi:10.1016/j.cell.2005.01.014 · Cited by 3,656
Cited by
MicroRNA: Biogenesis, Function and Role in Cancer
MacFarlane, L.-A., & R. Murphy, P. (2010) · Current Genomics · doi:10.2174/138920210793175895 · Cited by 1,584
The let-7 MicroRNA Represses Cell Proliferation Pathways in Human Cells
Johnson, C. D., Esquela-Kerscher, A., Stefani, G., Byrom, M., Kelnar, K., Ovcharenko, D., Wilson, M., Wang, X., Shelton, J., Shingara, J., et al. (2007) · Cancer Research · doi:10.1158/0008-5472.can-07-1083 · Cited by 1,224
MicroRNA-21 targets tumor suppressor genes in invasion and metastasis
Zhu, S., Wu, H., Wu, F., Nie, D., Sheng, S., & Mo, Y.-Y. (2008) · Cell Research · doi:10.1038/cr.2008.24 · Cited by 1,051
MicroRNA-21 promotes cell transformation by targeting the programmed cell death 4 gene
Lu, Z., Liu, M., Stribinskis, V, Klinge, C. M., Ramos, K. S., Colburn, N. H., & Li, Y. (2008) · Oncogene · doi:10.1038/onc.2008.72 · Cited by 711
let-7 microRNAs in development, stem cells and cancer
Büssing, I., Slack, F. J., & Großhans, H. (2008) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2008.07.001 · Cited by 607
Metadata
- Authors
- Wang, T., Zhang, X., Obijuru, L., Laser, J., Aris, V., Lee, P., Mittal, K., Soteropoulos, P., & Wei, J.
- Venue
- Genes, Chromosomes and Cancer
- Publisher
- Wiley
- Published
- 2007-01-22
- Volume
- 46
- Issue
- 4
- Pages
- 336-347
- ISSN
- 1045-2257 (ISSN-L)
- 1098-2264
- OpenAlex
- W2155123146
- Cited by
- 257
- References
- 43
- FWCI
- 31.13
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A micro‐RNA signature associated with race, tumor size, and target gene activity in human uterine leiomyomas. https://app.cochat.ai/papers/10.1002/gcc.20415
- The paper
- Wang, T., Zhang, X., Obijuru, L., Laser, J., Aris, V., Lee, P., Mittal, K., Soteropoulos, P., & Wei, J. (2007). A micro‐RNA signature associated with race, tumor size, and target gene activity in human uterine leiomyomas. Genes, Chromosomes and Cancer. https://doi.org/10.1002/gcc.20415
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.