| Literature DB >> 24802984 |
Giulia Courthod1, Pierfrancesco Franco2, Loredana Palermo3, Salvatore Pisconti4, Gianmauro Numico5.
Abstract
Head and neck cancer is one of the most commonly diagnosed malignancies worldwide. Patients with advanced disease stages frequently develop recurrences or distant metastasis, which results a five-year survival rates of less than 60% despite considerable advances in multimodality therapy. A better understanding of molecular basis of tumorigenesis is required to improve clinical outcomes and to develop new anti-cancer drugs. microRNAs (miRNAs) are a class of small, non-coding, RNA molecules that modulate gene expression post-transcriptionally. They are important regulator in normal biological process; however miRNAs deregulation has been observed in many different tumors and is involved in tumorigenesis. miRNAs may act as tumor suppressors or as oncogenes. Several studies on head and neck cancer demonstrated how aberrant expression of miRNAs is involved in proliferation, metastasis, chemoresistence, and radioresistance. In addition, miRNAs are excellent biomarker targets because they circulate stable in human body fluids and can be obtained with non-invasive methods. Moreover, miRNAs up and down regulation has been correlated with specific cancer phenotype (poor prognosis, aggressiveness and resistance to treatment), playing a role as prognostic biomarkers. This review summarizes current finding on miRNAs in head and neck cancer and their potential role as target for next drug therapy.Entities:
Mesh:
Substances:
Year: 2014 PMID: 24802984 PMCID: PMC6270891 DOI: 10.3390/molecules19055704
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Figure 1MiRNA biogenesis. MiRNAs genes are transcribed by RNA polymerase into primary miRNAs (pri-miRNA). They are converted into second precursors (pre-miRNA) by the Microprocessor Complex, composed by DiGeorge Syndrome Critical region 8 (DGCR8) and Drosha ribonuclease (RNase III). They are then exported to the cytoplasm by Exportin 5 and are processed into mat ure miRNA/miRNA duplex by DICER enzyme. One of the strands is combined with Argonaute proteins (Ago2) to RNA Induced Silencing Complex (RISC). This complex mediates gene expression by binding target mRNAs and inducing mRNA degradation.
miRNA expression profiling in SCHNC recent studies.
| Reference | Materials | Methods | miRNA Deregulation |
|---|---|---|---|
| Avissar | 16 tumors, 5 normal | microRNA array | ↑ miR-21, miR-181d, miR-181b, miR-491, miR-455, miR-455, miR-18a, miR-130b, miR-221, miR-193b, miR-181a, miR-18b ↓ miR-375 |
| Barker | 12 primary tumors, 12 metastatic lymphnodes | TaqMan microRNA assay | ↑ miR-103, miR-155, miR-191, miR-181b, miR-181d, miR-205 |
| Cao | 60 tumors, 54 normal | microRNA array | ↑ miR-125, miR-145 ↓ miR-93, miR-205, miR-21, miR-708 |
| Cervigne | 12 tumors, 7 normal | TaqMan microRNA assay | ↑ miR-21, miR-181b, miR-345, miR-146a, miR-184, miR-518b, miR-520g, miR-649 |
| Chang | 8 tumors, 4 normal | microRNA array | ↑ miR-21, miR-155, miR-146, miR-29c, miR-18, miR-146b, let-7i, miR-142-3p ↓ miR-494 |
| Childs | 8 tumors, 8 normal | MicroRNA array | ↑ miR-21, miR-24, miR-151, miR21, miR-199b ↓ let-7f, miR-142-3p, miR-324-5p, miR-368, miR-370, miR-373, miR-422b, miR-424, miR-95, let-7a, miR-16-2, miR-1, miR-133a |
| Christensen | 513 tumors, 597 normal | TaqMan microRNA assay | ↓ Let-7 family |
| Fletcher | 19 tumors, 7 normal | qRT-PCR | ↑ miR-205 |
| Hui | 51 tumors, 4 normal | TaqMan microRNA assay | ↑ miR-423, miR-93, miR-106b, miR-16, miR-20a, miR-155, miR-193a, miR-25, miR-92, miR-17-5p, let-7i, miR-19b, miR-223, miR-27a, miR-142-3p, miR-210, miR-106a, miR-15a, miR-21, miR-29b, miR-130b, miR-205, miR-422b ↓ miR-125b, miR-375, miR-10a, let-7a, miR-140, miR-100, miR-143, miR-99a, miR-30c, miR-365, miR-127, let-7c, miR-199b, let-7e, miR-26a |
| Kozaki | 18 tumors, 1 normal | qRT-PCR | ↑ miR-374, miR-340, miR-224, miR-10a, miR140, miR-181a ↓ miR-27a, miR-34b, miR-34c, miR-203, miR-302c, miR-23a, miR-27b, miR-34a, miR-215, miR-299, miR-330, miR-337, miR-107, miR-133b, miR-138, miR-139, miR-223, miR-204, miR-370, let-7d, mir-95, miR-302a, miR-367* |
| Lajer | 49 tumors, 39 normal | microRNA array | ↑ miR-31, miR-21, miR-223, miR-503, miR-187, miR-1246, miR-146b-5p, miR-146a, miR-155, miR-424, miR-181a, miR-181b, miR-27a, miR-132, miR-106b, miR-345, miR-21 ↓ miR-375, miR-1224-5p, miR-617, miR-99a, miR-125b, miR-378, miR-27b, miR-125b-2 |
| Li | 10 tumors, 10 normal | microRNA array | ↑ miR-21 |
| Liu | 10 tumors, 10 normal | TaqMan microRNA assay | ↑ mir-31, miR-34c, miR-187, miR-135b, miR-372, miR-34b, miR-21, miR-371, miR-216, miR-301, miR-10a, miR-155, miR-130b, miR-223, miR-373, miR-96, miR-224, miR-147, miR-128b, miR-104, miR-183, miR-182 ↓ miR-100, miR-328, miR-99a, miR-124, miR-149, miR-139, miR-124a, miR-204, miR-211 |
| Kikkawa | 10 tumors, 10 normal | TaqMan microRNA assay | ↑ miR-517c, miR-196a, miR-7, miR-196b, miR-650, miR-18a, miR-452, miR-183, miR-432, miR-301a, miR-21 ↓ miR-1, miR-375, miR-139-5p, miR-504, miR-125b, miR-199b, miR-100, miR-497, miR-30a, let-7c, miR-218, miR-10b, miR-126, miR-378, miR-328, miR-204, miR-143, miR-126, miR-99a, miR-195, miR-489, miR-203, miR-140-5p, miR-29a, miR-26a, miR-214, miR-30a, miR-26b, miR-30e, miR-30b, let-7b |
| Nohata | 5 tumors, 5 normal | TaqMan microRNA assay | ↓ miR-874, miR-133a, miR-375, miR-204, miR-1, miR-139-5p, miR-145, miR-143, miR-486-3p, miR-146a, miR-410, miR-126, miR-539, miR-134, miR-218, miR-146b-5p, miR-140-3p, miR-30a-3p, miR-191, miR-186, miR-148a, miR-30e-3p, miR-29c* |
| Ramdas | 5 Tumors, 5 normal | microRNA array | ↑ miR-7083, miR-7, miR-34b, miR-155, miR-182, miR-21, miR-181c, miR-181a, miR-25, miR-93, let-7i, miR-107, miR-103, miR-221 ↓ miR-23b, miR-7029, miR-125a, miR-125b |
| Rentoft | 21 tumors, 8 normal | microRNA array | ↑ miR-424, miR-21, miR-1301, miR-7, miR-142-5p, miR-105, miR-142-3p, miR-146b-3p, miR-659, miR-361-3p, miR-665, miR-146 b-5p* ↓ miR-617, miR-29b-2, miR-132, miR-548b-5p, miR-22, miR-629, mir-29b-1, miR-99a, let-7c* |
| Scapoli | 15 tumors | microRNA array | ↑ miR-489, miR-129, miR-23a, miR-214, miR-23b, miR-92, miR-25, miR-210, miR-212, miR-515, miR-146b, miR-21, miR-338 ↓ miR-520h, miR-197, miR-378, miR-135b, miR224, mir-34a |
| Tran | 9 Tumors | microRNA array | ↑ miR-21, miR-205, miR-16, let-7a ↓ miR-342, miR-346, miR-373 |
| Wiklund | 15 tumors, 7 normal | qRT-PCR | ↑ miR-127, miR-200, miR-205 ↓ miR-375, miR-137 |
| Wong | 4 tumors, 4 normal | TaqMan microRNA assay | ↑ miR-184, miR-34c, miR-137, miR-372, miR-124a, miR-21, miR-124b, miR-31, miR-128a, miR-34b, miR-154, miR-197, miR-132, miR-147, miR-325, miR-181c, miR-198, miR-155, miR-30a-3p, miR-338, miR-17-5p, miR-104, miR-134, miR-213 ↓ miR-133a, miR-99a, miR-194, miR-133b, miR-219, miR-100, miR-125b, miR-26b, miR-138, miR-149, miR-195, miR-107, miR-139 |
| Xiao | 20 oral leukoplakia, 7 malignant transformed oral leukoplakia | microRNA assay | ↑ miR-31, miR-142-5p, miR-33a, miR-1259, miR-146b-5p, miR-886-3p, miR-886-5p, miR-519d, miR-301a ↓ miR-572, miR-611, miR-602, miR-675, miR-585, miR-623, miR-637, miR-1184 |