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Dan Huang

Researcher at Fudan University

Publications -  79
Citations -  3023

Dan Huang is an academic researcher from Fudan University. The author has contributed to research in topics: Cancer & Colorectal cancer. The author has an hindex of 20, co-authored 61 publications receiving 2495 citations. Previous affiliations of Dan Huang include Shanghai Jiao Tong University & Fudan University Shanghai Medical College.

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Plasma microRNAs are promising novel biomarkers for early detection of colorectal cancer.

TL;DR: Investigation of whether plasma miRNAs can be used as biomarkers for the early detection of colorectal carcinoma found that plasma miR‐29a and miR-92a have significant diagnostic value for advanced neoplasia and combined ROC analyses suggest that they have strong potential as novel noninvasive biomarkers.
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Plasma miR-601 and miR-760 are novel biomarkers for the early detection of colorectal cancer.

TL;DR: Low levels of plasma miR-601 andMiR-760 can potentially serve as promising non-invasive biomarkers for the early detection of colorectal cancer.
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A Positive Feedback Loop of lncRNA-PVT1 and FOXM1 Facilitates Gastric Cancer Growth and Invasion.

TL;DR: PVT1 may be a valuable prognostic predictor for gastric cancer, and the positive feedback loop of PVT1-FOXM1 could be a therapeutic target in pharmacologic strategies.
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Circulating Long RNAs in Serum Extracellular Vesicles: Their Characterization and Potential Application as Biomarkers for Diagnosis of Colorectal Cancer

TL;DR: Exosomal mRNAs and lncRNAs in serum could be used as biomarkers to detect colorectal cancer, and among three types of vesicles in sera, EXOs were the richest reservoir for almost all measured long RNAs.
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Circulating CUDR, LSINCT-5 and PTENP1 long noncoding RNAs in sera distinguish patients with gastric cancer from healthy controls

TL;DR: Three‐lncRNA signature in serum was identified as diagnostic marker for GC and may facilitate the detection of GC and serve as the basis for further studies of the clinical value of serum lncRNAs in maintaining surveillance and forecasting prognosis.