Five-year survival after curative resection for adenocarcinoma of the colon

Angelopoulos, Stamatios; Kanellos, Ioannis; Christophoridis, E.; Tsachalis, T.; Kanellou, Alexandra; Betsis, D.

doi:10.1007/s10151-004-0141-x

Cited by 7 publications

(11 citation statements)

References 4 publications

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“…; that of patients without hepatic metastasis is 69.5% to 95.7% (5,6). Thus, early detection of liver metastasis is important for improving patient survival.…”

mentioning

confidence: 99%

Tumor Cell-Microenvironment Interaction Models Coupled with Clinical Validation Reveal CCL2 and SNCG as Two Predictors of Colorectal Cancer Hepatic Metastasis

Sun

Guo

et al. 2009

Clinical Cancer Research

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Purpose: This study aimed to identify novel biological markers for the prediction of colorectal cancer liver metastasis. Experimental Design: We established two models that mimicked the interactions between colorectal tumor cells and the liver microenvironment. From these models we established subcell lines that had an enhanced ability to metastasize to the liver. Genes that related to hepatic metastasis were screened by microarray. The candidate markers were tested by immunohistochemistry, and their predictive accuracy was assessed by the cross-validation method and an independent test set. Results: Highly metastatic colon cancer cell sublines SW1116p21 and SW1116v3 were established from the tumor cell-microenvironment interaction models. Seven of the upregulated genes in the sublines were selected as candidate markers for predicting metastatic potential. A total of 245 colorectal cancer samples were divided into a training set containing 117 cases and a test set containing 128 cases. In the training set, immunohistochemical analysis showed CCL2 and SNCG expression was higher in the hepatic metastasis group than in the nonmetastasis group, and was correlated with poor survival. Logistic regression analysis revealed that CCL2 and SNCG levels in primary tumors, serum carcinoembryonic antigen level, and lymph node metastasis status were the only significant (P < 0.05) parameters for detecting liver metastasis. In leave-one-out-cross-validation, the two markers, when combined with clinicopathologic features, resulted in 90.5% sensitivity and 90.7% specificity for hepatic metastasis detection. In an independent test set, the combination achieved 87.5% sensitivity and 82% specificity for predicting the future hepatic metastasis of colorectal cancer. Conclusion: Our results suggest that these models are able to mimic the interactions between colorectal cancer cells and the liver microenvironment, and may represent a promising strategy to identify metastasis-related genes. CCL2 and SNCG, combined with clinicopathologic features, may be used as accurate predictors of liver metastasis in colorectal cancer. (Clin Cancer Res 2009;15(17):5485-93) Colorectal carcinoma is one of the major causes of cancer death worldwide (1). Liver is the most common target for metastasis in patients with this disease. It is estimated that approximately 50% of colorectal cancer patients develop liver metastases, with 15% to 25% of synchronous and 20% of heterochronous cases (2). Liver metastasis is the most critical prognostic factor for colorectal cancer. The 5-year overall survival rate of patients with hepatic metastasis is only 25% to 40%

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“…; that of patients without hepatic metastasis is 69.5% to 95.7% (5,6). Thus, early detection of liver metastasis is important for improving patient survival.…”

mentioning

confidence: 99%

Tumor Cell-Microenvironment Interaction Models Coupled with Clinical Validation Reveal CCL2 and SNCG as Two Predictors of Colorectal Cancer Hepatic Metastasis

Sun

Guo

et al. 2009

Clinical Cancer Research

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“…A variety of colonic anastomotic techniques have been described in the literature. Recent randomized studies have demonstrated that in patients with colonic anastomoses, stapling procedures, omentoplasty and abdominal drainage do not reduce the rate of anastomotic leakage [2,3,5]. Manually constructed anastomoses in colonic surgery are as safe as stapled ones.…”

Section: Risk Factors For Anastomotic Dehiscencementioning

confidence: 99%

“…General risk factors such as malnutrition, weight loss, diabetes, steroids, multiple blood transfusions, smoking and excessive alcohol use have not been significantly predictive of anastomotic failure [2,4].…”

Section: Risk Factors For Anastomotic Dehiscencementioning

confidence: 99%

“…The latter provides the option of immediate surgery in cases of sepsis. The management of minor leaks includes total parenteral nutrition and antibiotic therapy [1][2][3][4] (Fig. 1).…”

Section: Management Of Anastomotic Dehiscencementioning

confidence: 99%

“…Anastomotic leakage remains a significant complication and a major cause of postoperative mortality and morbidity after colon resection and is associated with 25-37% of deaths in large reported series [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

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Anastomotic leakage after colonic resection

Kanellos

2010

Tech Coloproctol

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The aim of this study is to present the diagnosis and management of anastomotic leakage after colon resection. Early diagnosis and urgent therapeutic intervention are required in order to avert life-threatening conditions that may be caused by anastomotic leakage. Minor leaks can be managed conservatively with successful outcomes. Major leaks should be managed operatively. In conclusion, leakage of colonic anastomosis remains the most serious complication after colon resection.

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