The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Differential expression of microRNAs during melanoma progression: miR-200c, miR-205 and miR-211 are downregulated in melanoma and act as tumour suppressors
Open accessAbstract
BACKGROUND: The incidence of malignant melanoma is increasing faster than that for any other cancer. Histological examination of skin excision biopsies remains the standard method for melanoma diagnosis and prognosis. Significant morphological overlap between benign and malignant lesions complicates diagnosis, and tumour thickness is not always an accurate predictor of prognosis. METHODS: To identify improved molecular markers to support histological examination, we used microarray analysis of formalin-fixed and paraffin-embedded samples from different stages of melanomagenesis to identify differentially expressed microRNAs (miRNAs). Differential expression was validated by qRT-PCR, and functional studies were carried out after transfection of miRNA precursors or inhibitors into melanoma cells to modulate miRNA expression. RESULTS: In all, 20 miRNAs showed highly significant differential expression between benign naevi and either primary or metastatic melanomas, the majority being downregulated in melanoma, whereas only 2 miRNAs, namely miR-203 and miR-205, were differentially expressed between primary and metastatic melanomas. In functional in vitro assays, overexpression of miR-200c and miR-205 inhibited anchorage-independent colony formation and overexpression of miR-211 inhibited both anchorage-independent colony formation and invasion. CONCLUSION: We have identified a series of differentially expressed miRNAs that could be useful as diagnostic or prognostic markers for melanoma and have shown that three miRNAs (namely miR-200c, miR-205 and miR-211) act as tumour suppressors.
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
Park, S.-M., Gaur, A. B., Lengyel, E., & Peter, M. E. (2008) · Genes & Development · doi:10.1101/gad.1640608 · Cited by 2,272
Gaur, A., Jewell, D. A., Liang, Y., Ridzon, D., Moore, J. H., Chen, C., Ambros, V. R., & Israel, M. A. (2007) · Cancer Research · doi:10.1158/0008-5472.can-06-2698 · Cited by 727
Cited by
Regulatory networks defining EMT during cancer initiation and progression
Craene, B. D., & Berx, G. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3447 · Cited by 2,487
Humphries, B., & Yang, C. (2015) · Oncotarget · doi:10.18632/oncotarget.3052 · Cited by 346
Puhr, M., Hoefer, J., Schäfer, G., Erb, H. H. H., Oh, S. J., Klocker, H., Heidegger, I., Neuwirt, H., & Culig, Z. (2012) · The American Journal of Pathology · doi:10.1016/j.ajpath.2012.08.011 · Cited by 263
mTORC1 activation blocks BrafV600E-induced growth arrest but is insufficient for melanoma formation
Damsky, W., Micevic, G., Meeth, K., Muthusamy, V., Curley, D. P., Santhanakrishnan, M., Erdelyi, I., Platt, J. T., Huang, L., Theodosakis, N., et al. (2015) · Cancer Cell · doi:10.1016/j.ccell.2014.11.014 · Cited by 142
Metadata
- Authors
- Xu, Y., Brenn, T., Brown, E. R. S., Doherty, V, & Melton, D. W.
- Venue
- British Journal of Cancer
- Published
- 2012-01
- Volume
- 106
- Issue
- 3
- Pages
- 553-561
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W2033993004
- Cited by
- 202
- References
- 2
- FWCI
- 6.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Differential expression of microRNAs during melanoma progression: miR-200c, miR-205 and miR-211 are downregulated in melanoma and act as tumour suppressors. https://app.cochat.ai/papers/10.1038/bjc.2011.568
- The paper
- Xu, Y., Brenn, T., Brown, E. R. S., Doherty, V, & Melton, D. W. (2012). Differential expression of microRNAs during melanoma progression: miR-200c, miR-205 and miR-211 are downregulated in melanoma and act as tumour suppressors. British Journal of Cancer. https://doi.org/10.1038/bjc.2011.568
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.