MicroRNAs as markers of progression in cervical cancer: a systematic review View Full Text


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Article Info

DATE

2018-06-27

AUTHORS

Barbara Pardini, Daniela De Maria, Antonio Francavilla, Cornelia Di Gaetano, Guglielmo Ronco, Alessio Naccarati

ABSTRACT

BackgroundInvasive cervical cancer (ICC) is caused by high-risk human papillomavirus types (HR-HPVs) and is usually preceded by a long phase of intraepithelial neoplasia (CIN). Before invasion, (epi) genetic changes, potentially applicable as molecular markers within cervical screening, occur in HPV host cells. Epigenetic alterations, such as dysregulation of microRNA (miRNA) expression, are frequently observed in ICC. The mechanisms and role of miRNA dysregulation in cervical carcinogenesis are still largely unknown.MethodsWe provide an overview of the studies investigating miRNA expression in relation to ICC progression, highlighting their common outcomes and their weaknesses/strengths. To achieve this, we systematically searched through Pubmed database all articles between January 2010 and December 2017.ResultsFrom the 24 studies retrieved, miR-29a and miR-21 are the most frequently down- and up-regulated in ICC progression, respectively. Microarray-based studies show a small overlap, with miR-10a, miR-20b, miR-9, miR-16 and miR-106 found repeatedly dysregulated. miR-34a, miR-125 and miR-375 were also found dysregulated in cervical exfoliated cells in relation to cancer progression.ConclusionsThe pivotal role of miRNAs in ICC progression and initial development is becoming more and more relevant. Available studies are essentially based on convenience material, entailing possible selection bias, and frequently of small size: all these points still represent a limitation to a wide comprehension of miRNAs relevant for ICC. The targeted approach instead of a genome-wide investigation still precludes the identification of all the relevant miRNAs in the process. The implementation of deep sequencing on large scale population-based studies will help to discover and validate the relation between altered miRNA expression and CC progression for the identification of biomarkers. Optimally, once explored on a miRNome scale, small specific miRNA signatures maybe used in the context of screening. More... »

PAGES

696

References to SciGraph publications

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    33 schema:description BackgroundInvasive cervical cancer (ICC) is caused by high-risk human papillomavirus types (HR-HPVs) and is usually preceded by a long phase of intraepithelial neoplasia (CIN). Before invasion, (epi) genetic changes, potentially applicable as molecular markers within cervical screening, occur in HPV host cells. Epigenetic alterations, such as dysregulation of microRNA (miRNA) expression, are frequently observed in ICC. The mechanisms and role of miRNA dysregulation in cervical carcinogenesis are still largely unknown.MethodsWe provide an overview of the studies investigating miRNA expression in relation to ICC progression, highlighting their common outcomes and their weaknesses/strengths. To achieve this, we systematically searched through Pubmed database all articles between January 2010 and December 2017.ResultsFrom the 24 studies retrieved, miR-29a and miR-21 are the most frequently down- and up-regulated in ICC progression, respectively. Microarray-based studies show a small overlap, with miR-10a, miR-20b, miR-9, miR-16 and miR-106 found repeatedly dysregulated. miR-34a, miR-125 and miR-375 were also found dysregulated in cervical exfoliated cells in relation to cancer progression.ConclusionsThe pivotal role of miRNAs in ICC progression and initial development is becoming more and more relevant. Available studies are essentially based on convenience material, entailing possible selection bias, and frequently of small size: all these points still represent a limitation to a wide comprehension of miRNAs relevant for ICC. The targeted approach instead of a genome-wide investigation still precludes the identification of all the relevant miRNAs in the process. The implementation of deep sequencing on large scale population-based studies will help to discover and validate the relation between altered miRNA expression and CC progression for the identification of biomarkers. Optimally, once explored on a miRNome scale, small specific miRNA signatures maybe used in the context of screening.
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    39 schema:keywords CC progression
    40 ICC
    41 ICC progression
    42 MethodsWe
    43 alterations
    44 altered miRNA expression
    45 approach
    46 article
    47 available studies
    48 bias
    49 biomarkers
    50 cancer
    51 cancer progression
    52 carcinogenesis
    53 cells
    54 cervical cancer
    55 cervical carcinogenesis
    56 cervical screening
    57 changes
    58 common outcome
    59 comprehension
    60 context
    61 database
    62 deep sequencing
    63 development
    64 dysregulation
    65 epigenetic alterations
    66 expression
    67 genetic changes
    68 high-risk human papillomavirus (HPV) types
    69 host cells
    70 human papillomavirus types
    71 identification
    72 identification of biomarkers
    73 implementation
    74 initial development
    75 intraepithelial neoplasia
    76 invasion
    77 investigation
    78 large-scale population-based study
    79 limitations
    80 long phase
    81 marker of progression
    82 markers
    83 materials
    84 mechanism
    85 miR-106
    86 miR-125
    87 miR-16
    88 miR-21
    89 miR-34a
    90 miR-375
    91 miR-9
    92 miRNA
    93 miRNA dysregulation
    94 miRNA expression
    95 miRNA signature
    96 miRNAs
    97 microRNA expression
    98 microRNAs
    99 microarray-based studies
    100 molecular markers
    101 neoplasia
    102 outcomes
    103 overlap
    104 overview
    105 papillomavirus types
    106 phase
    107 pivotal role
    108 point
    109 population-based study
    110 possible selection bias
    111 process
    112 progression
    113 relation
    114 relevant miRNA
    115 review
    116 role
    117 scale
    118 screening
    119 selection bias
    120 sequencing
    121 signatures
    122 size
    123 small overlap
    124 small size
    125 specific miRNA signatures
    126 strength
    127 study
    128 systematic review
    129 targeted approach
    130 types
    131 weaknesses/strengths
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