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Objective: To explore the expression and clinical significance of signal protein Sema4C in esophageal cancer, gastric cancer and rectal cancer., Methods: Fifty esophageal cancer, 75 gastric cancer, 50 rectal cancer and 20 corresponding normal mucous membrane specimens, collected during the period of January 2008 to December 2010, were detected with streptavidin-peroxidase immunohistochemistry to detect the expression levels of Sema4C. And the relationships of the Sema4C expression with clinicopathological data was analyzed., Results: The expression levels of Sema4C in three kinds of cancers were significantly higher than the corresponding normal mucous membranes (80.0% (n = 40) vs 20.0% (n = 4), 77.3% (n = 58) vs 25.0% (n = 5), 80.0% (n = 40) vs 15.0% (n = 3), all P = 0.000). Furthermore, the percentage of Sema4C positive cells was significantly higher in carcinoma nests of tumors with lymphatic metastasis than those without (90.3% (n = 28) vs 63.2% (n = 12), 85.0% (n = 51) vs 46.7% (n = 7), 92.0% (n = 23) vs 68.0% (n = 17), P = 0.049, 0.005, 0.034). However, no significant correlations were found between the Sema4C expression with gender, age, location of tumors, types of cancer cells, cell differentiation, tumor size, depth of invasion or tumor stage (all P > 0.05)., Conclusion: There is a high expression of Sema4C in esophageal cancer, gastric cancer and rectal cancer. And it is strongly correlated with lymphatic metastasis. Thus Sema4C may play critical roles in the invasion and lymphatic metastasis of esophageal cancer, gastric cancer and rectal cancer.

Objective: To reveal the difference of autofluorescence spectrums of gastric juice derived from malignancy and benignancy for screening and diagnosis of gastric carcinoma., Method: Gastric juice from 202 patients with different gastric diseases were collected, then detected their autofluorescence spectrums (the excitation wavelength is 288 nm, whereas the range of emission wavelength is 300 - 800 nm) after diluted by 1:10. The diagnostic model for gastric cancer was made by Classification and Regression Trees V2.0 software., Results: There were three peaks (the emission wavelength were 320 - 360 nm, 576 nm and 670 - 690 nm respectively) in the autofluorescence spectrums of all patients, though the intensity of the first peak (with the emission wavelength of 320 - 360 nm) were enhanced distinctively in malignance than those in benignancy. The diagnostic model's sensitivity and specificity of prior probability were 91.4% and 83.2% respectively, whereas the sensitivity and specificity of posterior probability were 85.7% and 82.6%., Conclusion: Detection of autofluorescence spectrum of gastric juice has great prospect in the diagnosis and screening gastric carcinoma.