The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
MiR-221 and miR-222 target PUMA to induce cell survival in glioblastoma
Open accessAbstract
Background: MiR-221 and miR-222 (miR-221/222) are frequently up-regulated in various types of human malignancy including glioblastoma. Recent studies have reported that miR-221/222 regulate cell growth and cell cycle progression by targeting p27 and p57. However the underlying mechanism involved in cell survival modulation of miR-221/222 remains elusive. Results: Here we showed that miR-221/222 inhibited cell apoptosis by targeting pro-apoptotic gene PUMA in human glioma cells. Enforced expression of miR-22/222 induced cell survival whereas knockdown of miR-221/222 rendered cells to apoptosis. Further, miR-221/222 reduced PUMA protein levels by targeting PUMA-3'UTR. Introducing PUMA cDNA without 3'UTR abrogated miR-221/222-induced cell survival. Notably, knockdown of miR-221/222 induces PUMA expression and cell apoptosis and considerably decreases tumor growth in xenograft model. Finally, there was an inverse relationship between PUMA and miR-221/222 expression in glioma tissues. Conclusion: To our knowledge, these data indicate for the first time that miR-221/222 directly regulate apoptosis by targeting PUMA in glioblastoma and that miR-221/222 could be potential therapeutic targets for glioblastoma intervention.
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
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
Extensive modulation of a set of microRNAs in primary glioblastoma
Ciafrè, S. A., Galardi, S., Mangiola, A., Ferracin, M., Liu, C.-G., Sabatino, G., Negrini, M., Maira, G., Croce, C. M., & Farace, M. G. (2005) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2005.07.030 · Cited by 1,096
Cited by
The BCL2 family: from apoptosis mechanisms to new advances in targeted therapy
Vogler, M., Braun, Y., Smith, V. M., Westhoff, M.-A., Pereira, R. S., Pieper, N. M., Anders, M., Callens, M., Vervliet, T., Abbas, M., et al. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02176-0 · Cited by 462
Lekka, E., & Hall, J. (2018) · FEBS Letters · doi:10.1002/1873-3468.13182 · Cited by 251
Glioblastoma: exosome and microRNA as novel diagnosis biomarkers
Saadatpour, L., Fadaee, E., Fadaei, S., Nassiri Mansour, R., Mohammadi, M., Mousavi, S. M., Goodarzi, M., Verdi, J., & Mirzaei, H. (2016) · Cancer Gene Therapy · doi:10.1038/cgt.2016.48 · Cited by 244
Current Progress on Understanding MicroRNAs in Glioblastoma Multiforme
Karsy, M., Arslan, E., & Moy, F. (2012) · Genes & Cancer · doi:10.1177/1947601912448068 · Cited by 151
Role of microRNAs in glioblastoma
Chen, M., Medarova, Z., & Moore, A. (2021) · Oncotarget · doi:10.18632/oncotarget.28039 · Cited by 84
Metadata
- Authors
- Zhang, C.-Z., Zhang, J.-X., Zhang, A.-L., Shi, Z.-D., Han, L., Jia, Z.-F., Yang, W.-D., Wang, G.-X., Jiang, T., You, Y.-P., Pu, P.-Y., Cheng, J.-Q., & Kang, C.-S.
- Venue
- Molecular Cancer
- Published
- 2010-09-02
- Volume
- 9
- Issue
- 1
- Pages
- 229-229
- ISSN
- 1476-4598 (ISSN-L)
- OpenAlex
- W2162128852
- Cited by
- 314
- References
- 2
- FWCI
- 8.22
- Type
- journal article
- Language
- en
- Open access
- gold
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: MiR-221 and miR-222 target PUMA to induce cell survival in glioblastoma. https://app.cochat.ai/papers/10.1186/1476-4598-9-229
- The paper
- Zhang, C.-Z., Zhang, J.-X., Zhang, A.-L., Shi, Z.-D., Han, L., Jia, Z.-F., Yang, W.-D., Wang, G.-X., Jiang, T., You, Y.-P., Pu, P.-Y., Cheng, J.-Q., & Kang, C.-S. (2010). MiR-221 and miR-222 target PUMA to induce cell survival in glioblastoma. Molecular Cancer. https://doi.org/10.1186/1476-4598-9-229
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.
