Li-Hsing Chi

Li-Hsing Chi
Taipei Medical University | TMU · Institute for Translational Medicine

Doctor of Dental Surgery Ph.D.
D.D.S. and Ph.D. for holistic cancer care and translational medicine

About

10
Publications
1,118
Reads
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57
Citations
Introduction
'I love scientific research. And when you have a group of guys that are committed to doing it the right way as we do here, it makes it an, even more, fun job.' Oral and Maxillofacial surgeon, Taipei Medical University Hospital; Biomedical Informatics
Additional affiliations
April 2021 - present
Wan Fang Hospital
Position
  • Managing Director
March 2012 - December 2021
Taipei Medical University Hospital
Position
  • Medical Doctor
Education
January 1998 - February 2022
Taipei Medical University
Field of study
  • Oral and Maxillofacial Surgery

Publications

Publications (10)
Article
Full-text available
Survival analysis of the Cancer Genome Atlas (TCGA) dataset is a well-known method for discovering gene expression-based prognostic biomarkers of head and neck squamous cell carcinoma (HNSCC). A cutoff point is usually used in survival analysis for patient dichotomization when using continuous gene expression values. There is some optimization soft...
Preprint
Full-text available
Background: The survival analysis of the Cancer Genome Atlas (TCGA) dataset is a well-known method to discover the gene expression-based prognostic biomarkers of head and neck squamous cell carcinoma (HNSCC). In order to utilize a continuous gene expression for survival analysis, it is necessary to determine a cutoff point by the dichotomization of...
Preprint
Full-text available
Background The survival analysis of the Cancer Genome Atlas (TCGA) dataset is a well-known method to discover the gene expression-based prognostic biomarkers of head and neck squamous cell carcinoma (HNSCC). In order to utilize a continuous gene expression for survival analysis, it is necessary to determine a cutoff point by the dichotomization of...
Preprint
Full-text available
Background: The survival analysis of the Cancer Genome Atlas (TCGA) dataset is a well-known method to discover the gene expression-based prognostic biomarkers of head and neck squamous cell carcinoma (HNSCC). In order to utilize a continuous gene expression for survival analysis, it is necessary to determine a cutoff point by the dichotomization of...
Article
Full-text available
Head and neck squamous cell carcinoma (HNSCC) represents a major health concern worldwide. We applied the matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) to analyze paired normal (N) and tumor (T) samples from head and neck squamous cell carcinoma as well as liquid chromatography with tandem mass spectrometry (LC...
Article
Full-text available
Background Head and neck squamous cell carcinoma (HNSCC) represents a unique and major health concern worldwide. Significant increases in glucose uptake and aerobic glycolysis have been observed in HNSCC cells. Glucose transporters (GLUTs) represent a major hub in the glycolysis pathway, with GLUT4 having the highest glucose affinity. However, GLUT...
Article
Full-text available
Ameloblastic carcinoma, a rare malignant odontogenic tumor, is a highly aggressive tumor with rapid growth and a high potential for distant metastasis. Surgical resection is the most common treatment modality, while there are still controversies about the efficacy of neck dissection, radiotherapy, and chemotherapy. Herein we report a case of amelob...
Article
Full-text available
Le Fort I osteotomy is used as a surgical procedure for correction of maxillofacial deformities. The common complications of this procedure are hemorrhage and infection, with incidence of 6% to 9%. Blindness associated with Le Fort I osteotomy was reported in 8 patients. An 18-year-old female complained of loss of sight in the left eye after recove...

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Projects

Projects (2)
Project
biomarker discovery