Literature DB >> 16224662

[Prediction of lymph node metastasis with binary logistic regression in gastric carcinoma].

Jun-qiang Chen1, Wen-hua Zhan, Yu-long He, Shi-rong Cai, Jun-sheng Peng, Zheng-xuan Chen.   

Abstract

OBJECTIVE: To investigate more specific markers to predict the lymph node metastasis in gastric carcinoma.
METHODS: The expression of heparanase mRNA was detected by reverse transcription polymerase chain reaction (RT-PCR) in 43 cases with gastric cancer. The expressions of CD44V6, MMP-7, nm23 and syndecan-1 protein were examined by streptavidin-peroxidase (SP) two-step method. Clinicopathological features influencing lymphatic metastasis such as age,sex,tumor size,tumor location, Borrmann classification, histological type, differentiation and serosal infiltration were also analyzed.
RESULTS: Twenty-seven cases (62.8%) in 43 gastric cancer patients had lymphatic metastasis. The incidence of metastatic lymph nodes was(36.3 +/- 30.8)%. The median incidence was 19%. Univariate analysis showed that tumor size, serosal infiltration, expressions of heparanase mRNA, CD44V6, nm23 and syndecan-1 protein were risk factors for lymph node metastasis in gastric carcinoma. Multivariate analysis showed expressions of nm23 and syndecan-1 protein, serosal infiltration were independent factors for lymph node metastasis.
CONCLUSION: Gastric cancer with serosal infiltration, positive expressions of nm23 and syndecan-1 has greater possibility of lymph node metastasis.

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Year:  2005        PMID: 16224662

Source DB:  PubMed          Journal:  Zhonghua Wei Chang Wai Ke Za Zhi        ISSN: 1671-0274


  1 in total

Review 1.  Meta-Analysis of the Relationship between NM23 Expression to Gastric Cancer Risk and Clinical Features.

Authors:  Min Fang; Yifeng Tao; Zhimin Liu; Hao Huang; Min Lao; Lingsha Huang; Bo Zhu
Journal:  Biomed Res Int       Date:  2017-03-16       Impact factor: 3.411

  1 in total

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