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Yun Su

Researcher at Nanjing University of Chinese Medicine

Publications -  7
Citations -  1455

Yun Su is an academic researcher from Nanjing University of Chinese Medicine. The author has contributed to research in topics: Lung cancer & Cancer. The author has an hindex of 7, co-authored 7 publications receiving 1311 citations. Previous affiliations of Yun Su include Southeast University & Nanjing University.

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Journal ArticleDOI

Aldehyde dehydrogenase 1 is a tumor stem cell-associated marker in lung cancer.

TL;DR: Immunohistochemical analysis of 303 clinical specimens from three independent cohorts of lung cancer patients and controls show that expression of ALDH1 is positively correlated with the stage and grade of lung tumors and related to a poor prognosis for the patients with early-stage lung cancer.
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ALDH1A1 is a marker for malignant prostate stem cells and predictor of prostate cancer patients' outcome.

TL;DR: Investigating the stem-cell-related function and clinical significance of the ALDH1A1 in human PCa found it to be a prostate CSC-related marker and measuring its expression might provide a potential approach to study tumorigenesis of PCa and predict outcome of the disease.
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Aldehyde Dehydrogenase 1 A1–Positive Cell Population Is Enriched in Tumor-Initiating Cells and Associated with Progression of Bladder Cancer

TL;DR: ALDH1A1 may serve as a useful marker for monitoring the progression of bladder tumor and identifying bladder cancer patients with poor prognosis who might benefit from adjuvant and effective treatments.
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Integrating DNA methylation and microRNA biomarkers in sputum for lung cancer detection

TL;DR: The integration of two different classes of biomarkers synergistically improves both the sensitivity and the specificity for the early detection of NSCLC.
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Small non-coding RNA biomarkers in sputum for lung cancer diagnosis

TL;DR: Combined analysis of the miRNAs and snoRNAs has a synergistic effect with 89 % sensitivity and 89-% specificity, and may provide a useful tool for lung cancer early detection.