The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Malignant Germ Cell Tumors Display Common MicroRNA Profiles Resulting in Global Changes in Expression of Messenger RNA Targets
Open accessAbstract
Despite their extensive clinical and pathologic heterogeneity, all malignant germ cell tumors (GCT) are thought to originate from primordial germ cells. However, no common biological abnormalities have been identified to date. We profiled 615 microRNAs (miRNA) in pediatric malignant GCTs, controls, and GCT cell lines (48 samples in total) and re-analyzed available miRNA expression data in adult gonadal malignant GCTs. We applied the bioinformatic algorithm Sylamer to identify miRNAs that are of biological importance by inducing global shifts in mRNA levels. The most significant differentially expressed miRNAs in malignant GCTs were all from the miR-371–373 and miR-302 clusters (adjusted P < 0.00005), which were overexpressed regardless of histologic subtype [yolk sac tumor (YST)/seminoma/embryonal carcinoma (EC)], site (gonadal/extragonadal), or patient age (pediatric/adult). Sylamer revealed that the hexamer GCACTT, complementary to the 2- to 7-nucleotide miRNA seed AAGUGC shared by six members of the miR-371–373 and miR-302 clusters, was the only sequence significantly enriched in the 3′-untranslated region of mRNAs downregulated in pediatric malignant GCTs (as a group), YSTs and ECs, and in adult YSTs (all versus nonmalignant tissue controls; P < 0.05). For the pediatric samples, downregulated genes containing the 3′-untranslated region GCACTT showed significant overrepresentation of Gene Ontology terms related to cancer-associated processes, whereas for downregulated genes lacking GCACTT, Gene Ontology terms generally represented metabolic processes only, with few genes per term (adjusted P < 0.05). We conclude that the miR-371–373 and miR-302 clusters are universally overexpressed in malignant GCTs and coordinately downregulate mRNAs involved in biologically significant pathways. Cancer Res; 70(7); 2911–23
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
Exploration, normalization, and summaries of high density oligonucleotide array probe level data
Irizarry, R. A. (2003) · Biostatistics · doi:10.1093/biostatistics/4.2.249 · Cited by 10,603
MicroRNA expression profiles classify human cancers
Lu, J., Getz, G., Miska, E. A., Alvarez-Saavedra, E., Lamb, J., Peck, D., Sweet-Cordero, A., Ebert, B. L., Mak, R. H., Ferrando, A. A., et al. (2005) · Nature · doi:10.1038/nature03702 · Cited by 9,539
MicroRNA signatures in human cancers
Calin, G. A., & Croce, C. M. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1997 · Cited by 7,590
World Health Organization Classification of Tumours
Fletcher, C., van den Berg, A., & Molenaar, I. (2002) · Cited by 7,079
Oncomirs—MicroRNAs with a role in cancer
Esquela-Kerscher, A., & Slack, F. J. (2006) · Nature Reviews Cancer · doi:10.1038/nrc1840 · Cited by 5,884
affy—analysis of Affymetrix GeneChip data at the probe level
Gautier, L., Cope, L., Bolstad, B. M., & Irizarry, R. A. (2004) · Bioinformatics · doi:10.1093/bioinformatics/btg405 · Cited by 5,218
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
Cited by
Cheng, L., Albers, P., Berney, D. M., Feldman, D. R., Daugaard, G., Gilligan, T., & Looijenga, L. H. J. (2018) · Nature Reviews Disease Primers · doi:10.1038/s41572-018-0029-0 · Cited by 462
A comprehensive overview of liquid biopsy applications in pediatric solid tumors
Janssen, F. W., Lak, N. S. M., Janda, C. Y., Kester, L. A., Meister, M. T., Merks, J. H. M., van den Heuvel-Eibrink, M. M., van Noesel, M. M., Zsiros, J., Tytgat, G. A. M., et al. (2024) · npj Precision Oncology · doi:10.1038/s41698-024-00657-z · Cited by 32
Metadata
- Authors
- Palmer, R. D., Murray, M. J., Saini, H. K., van Dongen, S., Abreu-Goodger, C., Muralidhar, B., Pett, M. R., Thornton, C. M., Nicholson, J. C., Enright, A. J., Coleman, N., & on behalf of the Children's Cancer and Leukaemia Group
- Venue
- Cancer Research
- Published
- 2010-03-31
- Volume
- 70
- Issue
- 7
- Pages
- 2911-2923
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2126270345
- Cited by
- 286
- References
- 45
- FWCI
- 5.51
- Type
- journal article
- Language
- en
- Open access
- green
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- Palmer, R. D., Murray, M. J., Saini, H. K., van Dongen, S., Abreu-Goodger, C., Muralidhar, B., Pett, M. R., Thornton, C. M., Nicholson, J. C., Enright, A. J., Coleman, N., & on behalf of the Children's Cancer and Leukaemia Group. (2010). Malignant Germ Cell Tumors Display Common MicroRNA Profiles Resulting in Global Changes in Expression of Messenger RNA Targets. Cancer Research. https://doi.org/10.1158/0008-5472.can-09-3301
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