Identification of the long non-coding RNA H19 in plasma as a novel biomarker for diagnosis of gastric cancer

Recent studies have demonstrated that long non-coding RNAs (lncRNAs) are regarded as useful tools for cancer detection, particularly for the early stage; however, little is known about their diagnostic impact on gastric cancer (GC). We hypothesized that GC-related lncRNAs might release into the circ...

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Published inScientific reports Vol. 5; no. 1; p. 11516
Main Authors Zhou, Xiaoying, Yin, Chengqiang, Dang, Yini, Ye, Feng, Zhang, Guoxin
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 22.06.2015
Nature Publishing Group
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Abstract Recent studies have demonstrated that long non-coding RNAs (lncRNAs) are regarded as useful tools for cancer detection, particularly for the early stage; however, little is known about their diagnostic impact on gastric cancer (GC). We hypothesized that GC-related lncRNAs might release into the circulation during tumor initiation and could be utilized to detect and monitor GC. 8 lncRNAs which previously found to be differently expressed in GC were selected as candidate targets for subsequent circulating lncRNA assay. After validating in 20 pairs of tissues and plasma in training set, H19 was selected for further analysis in another 70 patients and 70 controls. Plasma level of H19 was significantly higher in GC patients compared with normal controls (p < 0.0001). By receiver operating characteristic curve (ROC) analysis, the area under the ROC curve (AUC) was 0.838; p < 0.001; sensitivity, 82.9%; specificity, 72.9%). Furthermore, H19 expression enabled the differentiation of early stage GC from controls with AUC of 0.877; sensitivity, 85.5%; specificity, 80.1%. Besides, plasma levels of H19 were significantly lower in postoperative samples than preoperative samples (p = 0.001). In conclusion, plasma H19 could serve as a potential biomarker for diagnosis of GC, in particular for early tumor screening.
AbstractList Recent studies have demonstrated that long non-coding RNAs (lncRNAs) are regarded as useful tools for cancer detection, particularly for the early stage; however, little is known about their diagnostic impact on gastric cancer (GC). We hypothesized that GC-related lncRNAs might release into the circulation during tumor initiation and could be utilized to detect and monitor GC. 8 lncRNAs which previously found to be differently expressed in GC were selected as candidate targets for subsequent circulating lncRNA assay. After validating in 20 pairs of tissues and plasma in training set, H19 was selected for further analysis in another 70 patients and 70 controls. Plasma level of H19 was significantly higher in GC patients compared with normal controls (p < 0.0001). By receiver operating characteristic curve (ROC) analysis, the area under the ROC curve (AUC) was 0.838; p < 0.001; sensitivity, 82.9%; specificity, 72.9%). Furthermore, H19 expression enabled the differentiation of early stage GC from controls with AUC of 0.877; sensitivity, 85.5%; specificity, 80.1%. Besides, plasma levels of H19 were significantly lower in postoperative samples than preoperative samples (p = 0.001). In conclusion, plasma H19 could serve as a potential biomarker for diagnosis of GC, in particular for early tumor screening.
Recent studies have demonstrated that long non-coding RNAs (lncRNAs) are regarded as useful tools for cancer detection, particularly for the early stage; however, little is known about their diagnostic impact on gastric cancer (GC). We hypothesized that GC-related lncRNAs might release into the circulation during tumor initiation and could be utilized to detect and monitor GC. 8 lncRNAs which previously found to be differently expressed in GC were selected as candidate targets for subsequent circulating lncRNA assay. After validating in 20 pairs of tissues and plasma in training set, H19 was selected for further analysis in another 70 patients and 70 controls. Plasma level of H19 was significantly higher in GC patients compared with normal controls (p < 0.0001). By receiver operating characteristic curve (ROC) analysis, the area under the ROC curve (AUC) was 0.838; p < 0.001; sensitivity, 82.9%; specificity, 72.9%). Furthermore, H19 expression enabled the differentiation of early stage GC from controls with AUC of 0.877; sensitivity, 85.5%; specificity, 80.1%. Besides, plasma levels of H19 were significantly lower in postoperative samples than preoperative samples (p = 0.001). In conclusion, plasma H19 could serve as a potential biomarker for diagnosis of GC, in particular for early tumor screening.Recent studies have demonstrated that long non-coding RNAs (lncRNAs) are regarded as useful tools for cancer detection, particularly for the early stage; however, little is known about their diagnostic impact on gastric cancer (GC). We hypothesized that GC-related lncRNAs might release into the circulation during tumor initiation and could be utilized to detect and monitor GC. 8 lncRNAs which previously found to be differently expressed in GC were selected as candidate targets for subsequent circulating lncRNA assay. After validating in 20 pairs of tissues and plasma in training set, H19 was selected for further analysis in another 70 patients and 70 controls. Plasma level of H19 was significantly higher in GC patients compared with normal controls (p < 0.0001). By receiver operating characteristic curve (ROC) analysis, the area under the ROC curve (AUC) was 0.838; p < 0.001; sensitivity, 82.9%; specificity, 72.9%). Furthermore, H19 expression enabled the differentiation of early stage GC from controls with AUC of 0.877; sensitivity, 85.5%; specificity, 80.1%. Besides, plasma levels of H19 were significantly lower in postoperative samples than preoperative samples (p = 0.001). In conclusion, plasma H19 could serve as a potential biomarker for diagnosis of GC, in particular for early tumor screening.
ArticleNumber 11516
Author Dang, Yini
Yin, Chengqiang
Zhou, Xiaoying
Zhang, Guoxin
Ye, Feng
Author_xml – sequence: 1
  givenname: Xiaoying
  surname: Zhou
  fullname: Zhou, Xiaoying
  organization: Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, First Clinical Medical College of Nanjing Medical University
– sequence: 2
  givenname: Chengqiang
  surname: Yin
  fullname: Yin, Chengqiang
  organization: Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, First Clinical Medical College of Nanjing Medical University
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  givenname: Yini
  surname: Dang
  fullname: Dang, Yini
  organization: Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, First Clinical Medical College of Nanjing Medical University
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  givenname: Feng
  surname: Ye
  fullname: Ye, Feng
  organization: Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, First Clinical Medical College of Nanjing Medical University
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  givenname: Guoxin
  surname: Zhang
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/26096073$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright The Author(s) 2015
Copyright Nature Publishing Group Jun 2015
Copyright © 2015, Macmillan Publishers Limited 2015 Macmillan Publishers Limited
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Snippet Recent studies have demonstrated that long non-coding RNAs (lncRNAs) are regarded as useful tools for cancer detection, particularly for the early stage;...
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SubjectTerms 38/90
631/67/1504/1829
631/67/2322
Biomarkers, Tumor - blood
Cell Line, Tumor
Early Detection of Cancer
Female
Gastric cancer
Humanities and Social Sciences
Humans
Male
Middle Aged
multidisciplinary
Non-coding RNA
Plasma levels
RNA, Long Noncoding - blood
RNA, Long Noncoding - genetics
ROC Curve
Science
Stomach Neoplasms - blood
Stomach Neoplasms - diagnosis
Stomach Neoplasms - genetics
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Title Identification of the long non-coding RNA H19 in plasma as a novel biomarker for diagnosis of gastric cancer
URI https://link.springer.com/article/10.1038/srep11516
https://www.ncbi.nlm.nih.gov/pubmed/26096073
https://www.proquest.com/docview/1899563822
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https://pubmed.ncbi.nlm.nih.gov/PMC4476094
Volume 5
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