Predictive value of tumor vessel density from enhanced spiral CT scan for lymph node and distant metastasis of colorectal cancer / 中华胃肠外科杂志

<p><b>OBJECTIVE</b>To test whether the tumor vessel density (TVD) from the enhanced spiral CT can preoperatively predict nodal status and distant metastasis of colorectal cancer.</p><p><b>METHODS</b>Forty cases of colorectal cancer patients who received surgical treatment were included in this study. The three dimensional tumor vessels were reconstructed by an enhanced CT 64-slice spiral CT and its AW4.4 image processing platform. The TVD was measured by the 1000 high-resolution color graphics pathological analysis system. The TVD level was compared between different tumor size, classification, and TNM stage. The postoperative pathological staging was taken as golden standard.</p><p><b>RESULTS</b>The sensitivity, specificity and accuracy for direct prediction of lymph node metastasis by the enhanced CT 64-slice spiral CT was 74.1%(20/27), 53.8%(7/13) and 67.5%(27/40) respectively. The TVD from the reconstructed three dimensional tumor vessels in the group with lymph node metastasis was significantly higher than that without metastasis(0.070±0.046 vs. 0.037±0.013, P<0.05). The TVD in the distant metastasis group was significantly higher than that without distant metastasis (0.130±0.032 vs. 0.049±0.030, P<0.01). No difference of TVD was found between different tumor size, invasion depth, and differentiation type.</p><p><b>CONCLUSION</b>TVD level from the reconstructed three dimensional tumor vessels can indicate lymph node and distant metastasis of colorectal cancer.</p>

Application of proteomics in the research of discrepancy proteins in gastric cancer / 中华胃肠外科杂志

<p><b>OBJECTIVE</b>To explore the discrepancy proteins in gastric cancer by proteome analysis.</p><p><b>METHODS</b>Total proteins of gastric cancer tissues and matched normal gastric epithelial tissues were separated respectively by two-dimensional polyacrylamide gel electrophoresis (2-DE). Mass spectrometry was used to test the differentially expressed proteins.</p><p><b>RESULTS</b>One thousand one hundred and forty-seven protein spots from gastric cancer tissue and 1079 spots from the normal tissue were gained. Out of 164 different protein spots, 41 were only expressed in gastric cancer tissue, 27 were unique in normal tissue, 39 were up-regulated and 57 were down-regulated in gastric cancer. Seven proteins, which were highly expressed in gastric cancer tissue, were identified.</p><p><b>CONCLUSION</b>Different protein spots between gastric cancer tissues and normal gastric epithelial tissue were gained by proteomics. The 7 discrepancy proteins were further identified. It establishes the foundation of finding specific gastric cancer proteins, which act as biomarkers for the diagnosis and prognosis of gastric cancer.</p>