| Literature DB >> 28574440 |
Alma D Campos-Parra1, Gerardo Cuamani Mitznahuatl2, Abraham Pedroza-Torres3,4, Rafael Vázquez Romo5, Fany Iris Porras Reyes6, Eduardo López-Urrutia7, Carlos Pérez-Plasencia8.
Abstract
Despite advances in diagnosis and new treatments such as targeted therapies, breast cancer (BC) is still the most prevalent tumor in women worldwide and the leading cause of death. The principal obstacle for successful BC treatment is the acquired or de novo resistance of the tumors to the systemic therapy (chemotherapy, endocrine, and targeted therapies) that patients receive. In the era of personalized treatment, several studies have focused on the search for biomarkers capable of predicting the response to this therapy; microRNAs (miRNAs) stand out among these markers due to their broad spectrum or potential clinical applications. miRNAs are conserved small non-coding RNAs that act as negative regulators of gene expression playing an important role in several cellular processes, such as cell proliferation, autophagy, genomic stability, and apoptosis. We reviewed recent data that describe the role of miRNAs as potential predictors of response to systemic treatments in BC. Furthermore, upon analyzing the collected published information, we noticed that the overexpression of miR-155, miR-222, miR-125b, and miR-21 predicts the resistance to the most common systemic treatments; nonetheless, the function of these particular miRNAs must be carefully studied and further analyses are still necessary to increase knowledge about their role and future potential clinical uses in BC.Entities:
Keywords: breast cancer; miRNAs; response to systemic therapy
Mesh:
Substances:
Year: 2017 PMID: 28574440 PMCID: PMC5486005 DOI: 10.3390/ijms18061182
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
miRNAs as potential biomarkers of resistance to treatments in breast cancer.
| Overexpressed miRNA | Predicted Targets | Pathway Involved | Reference |
|---|---|---|---|
| Paclitaxel | |||
| miR-Lin28 | Let7a | miRNAs processing | [ |
| miR-125b | Bak1 | Apoptosis | [ |
| miR-520h | DAPK2 | PI3K/Akt signaling | [ |
| miR18a | mTOR signaling | [ | |
| Docetaxel | |||
| miR-129-3p | CP110 | G2/M progression and apoptosis | [ |
| miR-141 | EIF4E | Apoptosis | [ |
| miR-3646 | GSK-3β | β-catenin signaling pathway | [ |
| miR-452 | APC4 | [ | |
| miR-663 | HSPG2 | [ | |
| miR-34a | BCL-2 and CCND1 | Apoptosis | [ |
| miR-222 and miR-29a | PTEN | Apoptosis | [ |
| Letrozol + anastrozole | |||
| miR-125b and miR-205 | Akt/mTOR pathway | [ | |
| Fulvestrant | |||
| miR-221 and miR-222 | AXIN2, SFRP2, CHD8 and NLK | p53, TGF-β, MAPK, Notch, ErbB and Jak-STAT | [ |
| miR-21 | PTEN | PI3K-Akt-mTOR pathway | [ |
| Tamoxifen | |||
| miR-10b | HDAC4 | Epithelial-mesenchymal transition | [ |
| miR-210 | RAD52 | Invasion, proliferation and migration | [ |
| mirR-155 | SOC6 | STAT3 signaling pathway | [ |
| Trastuzumab | |||
| miR-21 | PTEN | PI3K-Akt-mTOR/epithelial-to-mesenchymal transition and inflammatory signals | [ |
| miR-150-5p and miR-4734 | [ | ||
| miR-210 | RAD52 | Cell survival | [ |
| Doxorrubicin | MAPK signaling pathway, regulation of the actin cytoskeleton, cytokine-cytokine receptor interaction | [ | |
| miR-155p | PTEN/Akt, MAPK, MDR1, RhoA, FOXO3 and PDCD4 pathway | [ | |
| miR-125b | cell cycle control and apoptotic pathways | [ | |
| miR-155 | [ | ||
| miR-181a | Bax | [ | |
| Epirubicin | PTEN | [ | |
| Adriamycin | PTEN | PTEN, Akt/FOXP1 pathway | [ |
| Cisplatin | MRP1 | EMT efflux of drugs | [ |
| miR-221 | BIM-Bax/Bak axis | [ | |
| miR-944 | BNIP3 | cell proliferation, migration and invasion | [ |
| Gemcitabine | PTEN | EMT | [ |
| Vinorelbine | MAPK, mTOR, Wnt, and TGF-β | [ |
miRNAs as potential biomarkers of sensitivity to treatments in breast cancer.
| Overexpressed miRNA | Predicted Targets | Pathway Involved | Reference |
|---|---|---|---|
| Paclitaxel | |||
| miR-451 | Bcl-2 | Apoptosis | [ |
| miR-100 | mTOR | Cell proliferation and survival | [ |
| Docetaxel | |||
| miR-139-5p | Notch1 | Cell growth and apoptosis | [ |
| miR-205 | cell proliferation and clonogenic potential | [ | |
| miR-125a-3p | BRCA1 | [ | |
| Fulvestran | |||
| miR-214 | UCP2 | Autophagy | [ |
| Tamoxifen | |||
| miR-30c | HER2 and RAC1 signaling pathway | [ | |
| MiR-10a and miR-126 | [ | ||
| Lapatinib | |||
| miR-16 | CCNJ and FUBP1 | PI3K/Akt signaling pathways | [ |
| Cisplatin miR-519d | MCL-1 | anti-apoptotic signaling pathway | [ |
| miR-199a-3p | TFAM | mitochondrial biogenesis | [ |
| miR-302b | E2F1 | E2f1-ATM axis | [ |
| miR-218, miR-638 | BRCA1 | DNA reparation, cell proliferation and invasion | [ |
Figure 1Key miRNAs in the resistance to BC treatment. Upregulation of four key miRNAs—miR-155, miR-222, miR-125b, and miR-21—is associated with the resistance to systemic therapy: Taxanes, Endocrine therapies, Targeted therapies, and Other agents. When dysregulated, these miRNAs disrupt genes or pathways (denoted by gray or yellow ovals, respectively) that lead to the molecular mechanisms associated with four of the hallmarks of cancer. Up-arrows denote up-regulated miRNA whereas T-Bar denote stop signaling pathway.