Serum miRNAs panel (miR-16-2, miR-195, miR-2861, miR-497) as novel non-invasive biomarkers for detection of cervical cancer

miRNAs have been established as critical layer of regulation during tumorigenesis; extracellular miRNAs are extraordinarily stable; and, quantitative reverse transcript polymerase chain reaction (qRT-PCR) provides a sensitive platform for quantifying miRNAs with a broad dynamic range. Herein, we aim...

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Published inScientific reports Vol. 5; no. 1; p. 17942
Main Authors Zhang, Yujuan, Zhang, Donghong, Wang, Fei, Xu, Danfei, Guo, Ye, Cui, Wei
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 14.12.2015
Nature Publishing Group
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ISSN2045-2322
2045-2322
DOI10.1038/srep17942

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Abstract miRNAs have been established as critical layer of regulation during tumorigenesis; extracellular miRNAs are extraordinarily stable; and, quantitative reverse transcript polymerase chain reaction (qRT-PCR) provides a sensitive platform for quantifying miRNAs with a broad dynamic range. Herein, we aimed to establish a serum miRNA signature for diagnosing cervical cancer (CC). In this study, we recruited a cohort of 184 CC, 186 cervical intraepithelial neoplasia (CIN) patients and 193 healthy control subjects. qRT-PCR was performed with serum samples to screen a pool of 444 miRNAs at the initial phase, 66 miRNAs at the training phase and 7 miRNAs at the validation phase. The profile of 4 circulating miRNAs (miR-16-2*, miR-195, miR-2861, miR-497) was established for CC diagnosis. By Receiver Operating Characteristic (ROC) curve analysis, this 4-miRNA signature showed high accuracy in discriminating CC (AUC = 0.849) and CIN individuals (AUC = 0.734) from healthy controls. Among these 4 miRNAs, only miR-16-2*, but not miR-195, miR-2861 or miR497, shared a similar pattern in sera of breast cancer and ovarian cancer patients. Overall, our studies have identified a novel noninvasive biomarker constituted with a panel of four miRNAs (miR-16-2*, miR-195, miR-2861, miR-497).
AbstractList miRNAs have been established as critical layer of regulation during tumorigenesis; extracellular miRNAs are extraordinarily stable; and, quantitative reverse transcript polymerase chain reaction (qRT-PCR) provides a sensitive platform for quantifying miRNAs with a broad dynamic range. Herein, we aimed to establish a serum miRNA signature for diagnosing cervical cancer (CC). In this study, we recruited a cohort of 184 CC, 186 cervical intraepithelial neoplasia (CIN) patients and 193 healthy control subjects. qRT-PCR was performed with serum samples to screen a pool of 444 miRNAs at the initial phase, 66 miRNAs at the training phase, and 7 miRNAs at the validation phase. The profile of 4 circulating miRNAs (miR-16-2*, miR-195, miR-2861, miR-497) was established for CC diagnosis. By Receiver Operating Characteristic (ROC) curve analysis, this 4-miRNA signature showed high accuracy in discriminating CC (AUC = 0.849), and CIN individuals (AUC = 0.734) from healthy controls. Among these 4 miRNAs, only miR-16-2*, but not miR-195, miR-2861 or miR497, shared a similar pattern in sera of breast cancer and ovarian cancer patients. Overall, our studies have identified a novel noninvasive biomarker constituted with a panel of four miRNAs (miR-16-2*, miR-195, miR-2861, miR-497).
miRNAs have been established as critical layer of regulation during tumorigenesis; extracellular miRNAs are extraordinarily stable; and, quantitative reverse transcript polymerase chain reaction (qRT-PCR) provides a sensitive platform for quantifying miRNAs with a broad dynamic range. Herein, we aimed to establish a serum miRNA signature for diagnosing cervical cancer (CC). In this study, we recruited a cohort of 184 CC, 186 cervical intraepithelial neoplasia (CIN) patients and 193 healthy control subjects. qRT-PCR was performed with serum samples to screen a pool of 444 miRNAs at the initial phase, 66 miRNAs at the training phase, and 7 miRNAs at the validation phase. The profile of 4 circulating miRNAs (miR-16-2*, miR-195, miR-2861, miR-497) was established for CC diagnosis. By Receiver Operating Characteristic (ROC) curve analysis, this 4-miRNA signature showed high accuracy in discriminating CC (AUC = 0.849), and CIN individuals (AUC = 0.734) from healthy controls. Among these 4 miRNAs, only miR-16-2*, but not miR-195, miR-2861 or miR497, shared a similar pattern in sera of breast cancer and ovarian cancer patients. Overall, our studies have identified a novel noninvasive biomarker constituted with a panel of four miRNAs (miR-16-2*, miR-195, miR-2861, miR-497).miRNAs have been established as critical layer of regulation during tumorigenesis; extracellular miRNAs are extraordinarily stable; and, quantitative reverse transcript polymerase chain reaction (qRT-PCR) provides a sensitive platform for quantifying miRNAs with a broad dynamic range. Herein, we aimed to establish a serum miRNA signature for diagnosing cervical cancer (CC). In this study, we recruited a cohort of 184 CC, 186 cervical intraepithelial neoplasia (CIN) patients and 193 healthy control subjects. qRT-PCR was performed with serum samples to screen a pool of 444 miRNAs at the initial phase, 66 miRNAs at the training phase, and 7 miRNAs at the validation phase. The profile of 4 circulating miRNAs (miR-16-2*, miR-195, miR-2861, miR-497) was established for CC diagnosis. By Receiver Operating Characteristic (ROC) curve analysis, this 4-miRNA signature showed high accuracy in discriminating CC (AUC = 0.849), and CIN individuals (AUC = 0.734) from healthy controls. Among these 4 miRNAs, only miR-16-2*, but not miR-195, miR-2861 or miR497, shared a similar pattern in sera of breast cancer and ovarian cancer patients. Overall, our studies have identified a novel noninvasive biomarker constituted with a panel of four miRNAs (miR-16-2*, miR-195, miR-2861, miR-497).
ArticleNumber 17942
Author Cui, Wei
Zhang, Donghong
Zhang, Yujuan
Wang, Fei
Guo, Ye
Xu, Danfei
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  organization: Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences
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  fullname: Cui, Wei
  organization: Department of Clinical Laboratory, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences
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Snippet miRNAs have been established as critical layer of regulation during tumorigenesis; extracellular miRNAs are extraordinarily stable; and, quantitative reverse...
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StartPage 17942
SubjectTerms 13/109
13/2
49/47
64/60
692/53/2421
692/699/67/1857
Adult
Animals
Biomarkers, Tumor
Breast cancer
Cervical cancer
Cervix
Disease Models, Animal
Early Detection of Cancer
Female
Gene Expression Profiling
Genes, Tumor Suppressor
Human papillomavirus
Humanities and Social Sciences
Humans
MicroRNAs - blood
MicroRNAs - genetics
Middle Aged
miRNA
multidisciplinary
Neoplasm Grading
Neoplasm Invasiveness
Neoplasm Staging
Ovarian cancer
Ovarian Neoplasms - genetics
Polymerase chain reaction
Prognosis
Science
Sensitivity and Specificity
Transcription
Tumorigenesis
Uterine Cervical Neoplasms - blood
Uterine Cervical Neoplasms - diagnosis
Uterine Cervical Neoplasms - genetics
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Title Serum miRNAs panel (miR-16-2, miR-195, miR-2861, miR-497) as novel non-invasive biomarkers for detection of cervical cancer
URI https://link.springer.com/article/10.1038/srep17942
https://www.ncbi.nlm.nih.gov/pubmed/26656154
https://www.proquest.com/docview/1801886957
https://www.proquest.com/docview/1749993432
https://pubmed.ncbi.nlm.nih.gov/PMC4677300
Volume 5
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