Expression of adhesion molecules in hepatic metastases of colorectal carcinoma: Relationship to primary tumours and prognosis after hepatic resection

Nanashima, Atsushi; Yamaguchi, Hiroyuki; Sawai, Terumitsu; Yasutake, Toru; Tsuji, Takashi; Jibiki, Masaaki; Yamaguchi, Eiichiro; Nakagoe, Tohru; Ayabe, Hiroyoshi

doi:10.1046/j.1440-1746.1999.01991.x

Cited by 30 publications

(19 citation statements)

References 20 publications

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“…Li-Yuan Qian 1 , Ping Li 2 , Xiao-Rong Li 1 , Dao-Jin Chen 1 , Shai-Hong Zhu 1 * factor (VEGF) (Tokunaga et al, 1998), epidermal growth factor receptor (EGFR) (Kuramochi et al, 2010), and celladhesion molecule CD44 (Nanashima et al, 1999). Their expressions were all associated with liver invasiveness and metastasis.…”

Section: Multivariate Analysis Of Molecular Indicators For Postoperatmentioning

confidence: 99%

Multivariate Analysis of Molecular Indicators for Postoperative Liver Metastasis in Colorectal Cancer Cases

Liu

Li²,

Li³

et al. 2012

Asian Pacific Journal of Cancer Prevention

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Section: Multivariate Analysis Of Molecular Indicators For Postoperatmentioning

confidence: 99%

Multivariate Analysis of Molecular Indicators for Postoperative Liver Metastasis in Colorectal Cancer Cases

Liu

Li²,

Li³

et al. 2012

Asian Pacific Journal of Cancer Prevention

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“…1,2 Some clinicopathological factors in MLC, specifically, tumor recurrence and tumor biological characteristics, provide useful information regarding tumor activity. [3][4][5] According to previous reports, good potential candidates for molecular markers and tumor biological factors in MLC patients include lymphatic microvessel density (MVD) using CD31 antibody, 7 doubling times, 8 angiogenic factors, 9 growth factors, 10 abnormal expression of other oncogenes and suppressor genes such as TP53, 6 and carcinoembryonic antigen. 11 The use of a combination of conventional clinicopathological factors and tumor biology may improve our prognostic ability in patients who undergo hepatectomy for MLC and may contribute to a better staging system.…”

Section: Synopsismentioning

confidence: 99%

Clinical Significance of Microvessel Count in Patients with Metastatic Liver Cancer Originating from Colorectal Carcinoma

et al. 2009

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“…Several immunohistochemical markers, such as CD10 (15), CD44 (16), vascular endothelial growth factor (17), transforming growth factor-α (17), matrix metalloproteinase 2 (17), and insulin-like growth factor II (17), have also been shown to be correlated with the probability of liver metastasis. Here we describe the development of two tumor-environment interacting models designed to identify markers for predicting liver metastasis.…”

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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Expression of adhesion molecules in hepatic metastases of colorectal carcinoma: Relationship to primary tumours and prognosis after hepatic resection

Abstract: Our results indicate that the lack of expression of EC and CD44v6 in liver metastases of colorectal cancer is associated with poor survival after surgery.

Cited by 30 publications

References 20 publications

Multivariate Analysis of Molecular Indicators for Postoperative Liver Metastasis in Colorectal Cancer Cases

Multivariate Analysis of Molecular Indicators for Postoperative Liver Metastasis in Colorectal Cancer Cases

Clinical Significance of Microvessel Count in Patients with Metastatic Liver Cancer Originating from Colorectal Carcinoma

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

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