The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Circulating MiR-125b as a Marker Predicting Chemoresistance in Breast Cancer
Open accessAbstract
BACKGROUND: Chemotherapy is an important component in the treatment paradigm for breast cancers. However, the resistance of cancer cells to chemotherapeutic agents frequently results in the subsequent recurrence and metastasis. Identification of molecular markers to predict treatment outcome is therefore warranted. The aim of the present study was to evaluate whether expression of circulating microRNAs (miRNAs) can predict clinical outcome in breast cancer patients treated with adjuvant chemotherapy. METHODOLOGY/PRINCIPAL FINDINGS: Circulating miRNAs in blood serum prior to treatment were determined by quantitative Real-Time PCR in 56 breast cancer patients with invasive ductal carcinoma and pre-operative neoadjuvant chemotherapy. Proliferating cell nuclear antigen (PCNA) immunostaining and TUNEL were performed in surgical samples to determine the effects of chemotherapy on cancer cell proliferation and apoptosis, respectively. Among the miRNAs tested, only miR-125b was significantly associated with therapeutic response, exhibiting higher expression level in non-responsive patients (n = 26, 46%; p = 0.008). In addition, breast cancers with high miR-125b expression had higher percentage of proliferating cells and lower percentage of apoptotic cells in the corresponding surgical specimens obtained after neoadjuvant chemotherapy. Increased resistance to anticancer drug was observed in vitro in breast cancer cells with ectopic miR-125b expression; conversely, reducing miR-125b level sensitized breast cancer cells to chemotherapy. Moreover, we demonstrated that the E2F3 was a direct target of miR-125b in breast cancer cells. CONCLUSIONS/SIGNIFICANCE: These data suggest that circulating miR-125b expression is associated with chemotherapeutic resistance of breast cancer. This finding has important implications in the development of targeted therapeutics for overcoming chemotherapeutic resistance in novel anti-cancer strategies.
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
Jemal, A., Siegel, R., Ward, E., Hao, Y., Xu, J., & Thun, M. J. (2009) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.20006 · Cited by 9,709
Most mammalian mRNAs are conserved targets of microRNAs
Friedman, R. C., Farh, K. K.-H., Burge, C. B., & Bartel, D. P. (2009) · Genome Research · doi:10.1101/gr.082701.108 · Cited by 8,462
Combinatorial microRNA target predictions
Krek, A., Grün, D., Poy, M. N., Wolf, R., Rosenberg, L., Epstein, E. J., MacMenamin, P., da Piedade, I., Gunsalus, K. C., Stoffel, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1536 · Cited by 4,603
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
A Pilot Study of Circulating miRNAs as Potential Biomarkers of Early Stage Breast Cancer
Zhao, H., Shen, J., Medico, L., Wang, D., Ambrosone, C. B., & Liu, S. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013735 · Cited by 398
Circulating MicroRNAs as Minimally Invasive Biomarkers for Cancer Theragnosis and Prognosis
Cho, W. C. S. (2011) · Frontiers in Genetics · doi:10.3389/fgene.2011.00007 · Cited by 61
Cited by
Clinical relevance of circulating cell-free microRNAs in cancer
Schwarzenbach, H., Nishida, N., Calin, G. A., & Pantel, K. (2014) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2014.5 · Cited by 969
MicroRNA-Based Diagnosis and Therapy
Ho, P. T. B., Clark, I. M., & Le, L. T. T. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23137167 · Cited by 630
Circulating microRNAs in breast cancer: novel diagnostic and prognostic biomarkers
Hamam, R., Hamam, D., Alsaleh, K. A., Kassem, M., Zaher, W., Alfayez, M., Aldahmash, A., & Alajez, N. M. (2017) · Cell Death & Disease · doi:10.1038/cddis.2017.440 · Cited by 322
MiR-139-5p: promising biomarker for cancer
Zhang, H.-D., Jiang, L.-H., Sun, D.-W., Li, J., & Tang, J.-H. (2015) · Tumor Biology · doi:10.1007/s13277-015-3199-3 · Cited by 69
Circulating microRNAs as Promising Tumor Biomarkers
(2014) · Advances in Clinical Chemistry · doi:10.1016/bs.acc.2014.09.007 · Cited by 40
Metadata
- Authors
- Wang, H., Tan, G., Dong, L., Cheng, L., Li, K., Wang, Z., & Luo, H.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-04-16
- Volume
- 7
- Issue
- 4
- Pages
- e34210
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2035243232
- Cited by
- 275
- References
- 6
- FWCI
- 10.93
- 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
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.