isolation-culture-adipogenic-induction-neural-crest-original-adipose

Isolation, Culture, and Adipogenic Induction of Neural Crest Original Adipose-Derived Stem Cells from Periaortic Adipose Tissue

An excessive amount of adipose tissue surrounding the blood vessels (perivascular adipose tissue, also known as PVAT) is associated with a high risk of ...

Shanghai Jiao Tong University School of Medicine

Oral lichen planus (OLP) is a potentially malignant disorder associated with an increased risk for oral cancer. The purpose of this study was to determine protein expression of podoplanin and ATP-binding cassette, G2 subfamily (ABCG2) in patients with OLP and evaluate their use as biomarkers for OLP malignant transformation risk.

Podoplanin and ABCG2: malignant transformation risk markers for oral lichen planus.

Oral leukoplakia (OL) is the best-known potentially malignant disorder. A new binary system to grade dysplasia was proposed by WHO, but the biological significance in predicting malignant transformation risk is unknown. The objective of this study is to estimate the rate of malignant transformation in a long-term follow-up cohort, explore the usefulness of the new binary system of grading dysplasia and identify significant risk factors of OL malignant transformation in China.

Malignant transformation of oral leukoplakia: a retrospective cohort study of 218 Chinese patients.

Oral cancer, one of the six most common human cancers with an overall 5-year survival rate of <50%, is often not diagnosed until it has reached an advanced stage. The aim of the current study is to explore salivary metabolomics as a disease diagnostic and stratification tool for oral cancer and leukoplakia and evaluate the potential of salivary metabolome for detection of oral squamous cell carcinoma (OSCC). Saliva metabolite profiling for a group of 37 OSCC patients, 32 oral leukoplakia (OLK) patients and 34 healthy subjects was performed using ultraperformance liquid chromatography coupled with quadrupole/time-of-flight mass spectrometry in conjunction with multivariate statistical analysis. The OSCC, OLK and healthy control groups demonstrate characteristic salivary metabolic signatures. A panel of five salivary metabolites including γ-aminobutyric acid, phenylalanine, valine, n-eicosanoic acid and lactic acid were selected using OPLS-DA model with S-plot. The predictive power of each of the five salivary metabolites was evaluated by receiver operating characteristic curves for OSCC. Valine, lactic acid and phenylalanine in combination yielded satisfactory accuracy (0.89, 0.97), sensitivity (86.5% and 94.6%), specificity (82.4% and 84.4%) and positive predictive value (81.6% and 87.5%) in distinguishing OSCC from the controls or OLK, respectively. The utility of salivary metabolome diagnostics for oral cancer is successfully demonstrated in this study and these results suggest that metabolomics approach complements the clinical detection of OSCC and stratifies the two types of lesions, leading to an improved disease diagnosis and prognosis.

Article	Year
Podoplanin and ABCG2: malignant transformation risk markers for oral lichen planus. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology\| PubMed ID: 20200437	2010
Malignant transformation of oral leukoplakia: a retrospective cohort study of 218 Chinese patients. BMC cancer\| PubMed ID: 21159209	2010
Salivary metabolite signatures of oral cancer and leukoplakia. International journal of cancer\| PubMed ID: 21190195	2011

Shi Peng

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