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Serum vascular endothelial growth factor-C combined with multi-detector CT in the preoperative diagnosis of lymph node metastasis of gastric cancer

Authors :
Tian-Bao, Wang
Jin, Wang
Xiu-Qing, Wei
Bo, Wei
Wen-Guang, Dong
Source :
Asia-Pacific journal of clinical oncology. 8(2)
Publication Year :
2012

Abstract

To investigate whether serum vascular endothelial growth factor-C (SVEGF-C) and multi-detector computed tomography (MDCT) can predict lymph node metastasis (LNM) in gastric cancer (GC).The SVEGF-C level of 80 patients with GC was examined by enzyme linked immunosorbent assay. An MDCT scan of the abdomen was performed. Kaplan - Meier survival analysis was used to analyse survival.In patients with GC, a higher level of SVEGF-C was found in the LNM group (650.9 ± 198.6 vs 451.0 ± 115.5 pg/mL, P = 0.000) and in patients with distant metastases (834.3 ± 80.0 pg/mL vs 557.9 ± 187.0 pg/mL, P = 0.000). With a cut-off value of 542.5 pg/mL, the sensitivity, specificity, accuracy, positive predictive value and negative predictive value of SVEGF-C for predicating LNM were 82.8, 81.8, 82.5, 92.3 and 64.3%, respectively. MDCT could not be employed to detect the LNM. When SVEGF-C associated with MDCT was employed to determine LNM in GC, the sensitivity, specificity, accuracy, positive predictive value and negative predictive value were 91.4, 86.4, 90.0, 94.6 and 79.2%, respectively. No difference of SVEGF-C level was found among N1, N2 and N3 groups (P0.05). The 5-year overall survival was 47.5%. A shorter mean survival time were found in patients with SVEGF-C834.3 pg/ml (43.3 ± 2.8 months vs 67.4 ± 2.5 months, P = 0.000) and in patients who were MDCT-positive (42.7 ± 3.8 months vs 60.8 ± 2.2 months, P = 0.0034).SVEGF-C may be a biomarker for a preoperative diagnosis of LNM. In conjunction with MDCT, SVEGF-C can improve the accuracy of a diagnosis of LNM in GC. A higher SVEGF-C level and an MDCT-positive finding could predict the poorer prognosis of GC.

Details

ISSN :
17437563
Volume :
8
Issue :
2
Database :
OpenAIRE
Journal :
Asia-Pacific journal of clinical oncology
Accession number :
edsair.pmid..........68337b280806224861880aff523c482b