OBJECTIVE: To investigate the ING1 gene mutation status in human laryngeal squamous cell carcinoma(LSCC), and the association of p33(ING1b) protein expression with p53 protein expression. METHOD: DNA of LSCC tissue was extracted, and nucleotide of the second exon was amplified and sequenced to determine the chromosome status. The p23(ING1b) and p53 protein expression were detected by immunohistochemistry and the association between them were analyzed. RESULT: No mutation was detected in ING1 gene, but a single polymorphism from GGG to AGG at codon 170 of ING1 gene was found in 2 of the 25 LSCC tissues. The immunohistochemical analysis showed that 4 had positive p33(ING1b) expression. No association was found between p33(ING1b) expression and LSCC clinical features, or between p53 and clinical features. However, significant difference was found between p33(ING1b) and p53 expression. p33(ING1b) tended to be negative in p53 expression positive tissue. CONCLUSION ING1 gene mutation appears rare in LSCC. In normal physical condition, p33(ING1b) may play a synergistic effect with p53 protein.
Carcinoma, Squamous Cell ; genetics ; metabolism ; pathology ; Female ; Genes, Regulator ; Humans ; Inhibitor of Growth Protein 1 ; Intracellular Signaling Peptides and Proteins ; genetics ; Laryngeal Neoplasms ; genetics ; metabolism ; pathology ; Male ; Middle Aged ; Mutation ; Nuclear Proteins ; genetics ; Tumor Suppressor Protein p53 ; metabolism ; Tumor Suppressor Proteins ; genetics

The ensemble empirical mode decomposition (EEMD) can be used to overcome the mode mixing problem of empirical mode decomposition (EMD) effectively. The EEMD method and Hilbert-Huang Transform (HHT) can be used to analyze pulse signals of Traditional Chinese Medicine (TCM). The amplitudes of the added white noise were about 0.1 and 0.2 time standard deviation of the investigated signal respectively. The difference of average frequency and average energy of every mode between normal pulse, slippery pulse, wiry pulse and wiry-slippery pulse were demonstrated based on different amplitudes of the added white noise. The results showed that it is more in line with clinical practice when the amplitude of the added white noise is about 0.2 time standard deviation of the investigated signal.
Algorithms ; Artifacts ; Diagnosis, Differential ; Humans ; Medicine, Chinese Traditional ; methods ; Pulse ; Signal Processing, Computer-Assisted