摘要
AIM: To investigate the expression of markers that are correlated with the prognosis of colorectal cancer (CRC) patients. METHODS: One hundred and fifty-six CRC patientswere followed up for more than 3 years after radical surgery. Immunohistochemical (IHC) analysis was performed to detect the expression of 14 pathway-related markers (p53, APC, p21ras, E-cadherin, endothelin-B receptor, Shp2, ADCY-2, SPARCL1, neuroligin1, hsp27, mmp-9, MAPK, MSH2 and rho) in specimens from these patients. Bioinformatics analysis involving a Support Vector Machine (SVM) was used to determine the best prognostic model from combinations of these markers. RESULTS: Seven markers (SPARCL1, Shp2, MSH2, E-cadherin, p53, ADCY-2 and MAPK) were significantly related to the prognosis and clinical pathological features of the CRC patients (P < 0.05). Prognostic models were established through SVM from combinations of these 7 markers and proved able to differentiate patients with dissimilar survival, especially in stage Ⅱ/Ⅲ patients. According to the best prognostic model, the p53/SPARCL1 model, patients having high p53 and low SPARCL1 expression had about 50% lower 3-year survival than others (P < 0.001). CONCLUSION: SPARCL1, Shp2, MSH2, E-cadherin, p53, ADCY-2 and MAPK are potential prognostic markers in CRC. A p53/SPARCL1 bioinformatics model may be used as a supplement to tumor-nodes-metastasis staging.
AIM： To investigate the expression of markers that are correlated with the prognosis of colorectal cancer （CRC） patients. METHODS： One hundred and fifty-six CRC patientswere followed up for more than 3 years after radical surgery. Immunohistochemical （IHC） analysis was performed to detect the expression of 14 pathway-related markers （p53, APC, p21ras, E-cadherin, endothelin-B receptor, Shp2, ADCY-2, SPARCL1, neuroligin1, hsp27, mmp-9, MAPK, MSH2 and rho） in specimens from these patients. Bioinformatics analysis involving a Support Vector Machine （SVM） was used to determine the best prognostic model from combinations of these markers. RESULTS： Seven markers （SPARCL1, Shp2, MSH2, E-cadherin, p53, ADCY-2 and MAPK） were significantly related to the prognosis and clinical pathological features of the CRC patients （P 0.05）. Prognostic models were established through SVM from combinations of these 7 markers and proved able to differentiate patients with dissimilar survival, especially in stage Ⅱ/Ⅲ patients. According to the best prognostic model, the p53/SPARCL1 model, patients having high p53 and low SPARCL1 expression had about 50% lower 3-year survival than others （P 0.001）. CONCLUSION： SPARCL1, Shp2, MSH2, E-cadherin, p53, ADCY-2 and MAPK are potential prognostic markers in CRC. A p53/SPARCL1 bioinformatics model may be used as a supplement to tumor-nodes-metastasis staging.
基金
Supported by Grants from the Major State Basic Research Development Program of China, 973 Program No. 2004CB518707
the Zhejiang Provincial Natural Science Foundation of China,No. R2090353
the Fundamental Research Funds for the Central Universities, No. KYJD09007
