The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
MicroRNA-21 induces resistance to the anti-tumour effect of interferon-α/5-fluorouracil in hepatocellular carcinoma cells
Open accessAbstract
BACKGROUND: We reported recently the clinical efficiency of interferon (IFN)-α/5-fluorouracil (5-FU) combination therapy in advanced hepatocellular carcinoma (HCC). However, prediction of the response to the combination therapy remains unsatisfactory. The aim of this study was to investigate the anti-tumour effects of microRNA (miR)-21 on the sensitivity of HCC cells to IFN-α/5-FU and whether miR-21 can be used as a predictor of the response to such therapy in HCC. METHODS: Changes in the sensitivity of HCC cells (PLC/PRF/5 and HepG2) to IFN-α/5-FU were examined after transfection with pre-miR-21 or anti-miR-21. The correlation between miR-21 expression level, evaluated by qRT-PCR, and response to the therapy was also investigated in clinical HCC specimens. RESULTS: Hepatocellular carcinoma cells transfected with pre-miR-21 were significantly resistant to IFN-α/5-FU. Annexin V assay showed that the percentage of apoptotic cells was significantly lower in cells transfected with pre-miR-21 than control cells. Transfection of anti-miR-21 rendered HCC cells sensitive to IFN-α/5-FU, and such sensitivity was weakened by transfection of siRNAs of target molecules, PETN and PDCD4. miR-21 expression in clinical HCC specimens was significantly associated with the clinical response to the IFN-α/5-FU combination therapy and survival rate. CONCLUSIONS: The miR-21 in HCC cell lines and clinical HCC samples is a significant modulator of the anti-tumour effect of IFN-α and 5-FU. This suggests that miR-21 is a potentially suitable marker for the prediction of the clinical response to the IFN-α/5-FU combination therapy.
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
Meng, F., Henson, R., Lang, M., Wehbe, H., Maheshwari, S., Mendell, J. T., Jiang, J., Schmittgen, T. D., & Patel, T. (2006) · Gastroenterology · doi:10.1053/j.gastro.2006.02.057 · Cited by 984
MicroRNA 21 Promotes Glioma Invasion by Targeting Matrix Metalloproteinase Regulators
Gabriely, G., Wurdinger, T., Kesari, S., Esau, C. C., Burchard, J., Linsley, P. S., & Krichevsky, A. M. (2008) · Molecular and Cellular Biology · doi:10.1128/mcb.00479-08 · Cited by 888 · cited 1×
“…MMPs expression (by negative regulation of tissue inhibitor of metalloproteinases 3 (TIMP3) and reversion-inducing cysteine-rich protein with Kazal motifs (RECK)) and that MMPs levels correlated significantly with chemosensitivity (Gabriely et al, 2008; Almendro et al, 2009; Song et al, 2009).”
BackgroundJansen, A. P., Camalier, C. E., Stark, C., & Colburn, N. H. (2004) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.103.3.2 · Cited by 132
Cited by
Zhang, L., Hou, D., Chen, X., Li, D., Zhu, L., Zhang, Y., Li, J., Bian, Z., Liang, X., Cai, X., et al. (2012) · Cell Research · doi:10.1038/cr.2011.158 · Cited by 1,216
MicroRNAs en route to the clinic: progress in validating and targeting microRNAs for cancer therapy
Kasinski, A. L., & Slack, F. J. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3166 · Cited by 936
Emerging role of microRNA-21 in cancer
Feng, Y.-H., & Tsao, C.-J. (2016) · Biomedical Reports · doi:10.3892/br.2016.747 · Cited by 454
Wang, D., Sun, X., Wei, Y., Liang, H., Yuan, M., Jin, F., Chen, X., Liu, Y., Zhang, C.-Y., Li, L., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1254 · Cited by 82
Verma, P., Ghosh, A., Ray, M., & Sarkar, S. (2020) · Anti-Cancer Agents in Medicinal Chemistry · doi:10.2174/1871520620666200310091719 · Cited by 41
Metadata
- Authors
- Tomimaru, Y., Eguchi, H., Nagano, H., Wada, H., Tomokuni, A., Kobayashi, S., Marubashi, S., Takeda, Y., Tanemura, M., Umeshita, K., Doki, Y., & Mori, M.
- Venue
- British Journal of Cancer
- Published
- 2010-10-26
- Volume
- 103
- Issue
- 10
- Pages
- 1617-1626
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W2080029244
- Cited by
- 178
- References
- 3
- FWCI
- 3.97
- 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: MicroRNA-21 induces resistance to the anti-tumour effect of interferon-α/5-fluorouracil in hepatocellular carcinoma cells. https://app.cochat.ai/papers/10.1038/sj.bjc.6605958
- The paper
- Tomimaru, Y., Eguchi, H., Nagano, H., Wada, H., Tomokuni, A., Kobayashi, S., Marubashi, S., Takeda, Y., Tanemura, M., Umeshita, K., Doki, Y., & Mori, M. (2010). MicroRNA-21 induces resistance to the anti-tumour effect of interferon-α/5-fluorouracil in hepatocellular carcinoma cells. British Journal of Cancer. https://doi.org/10.1038/sj.bjc.6605958
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.