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Can flow cytometry reinvent the sentinel lymph node concept in gastric cancer patients?
Journal of Surgical Research 2018 March
BACKGROUND: The focused sentinel lymph node (SLN) concept we proposed previously relied on real time-quantitative polymerase chain reaction (RT-qPCR) to detect tumor cells, which is too elaborate for intraoperative use. Therefore, we evaluated flow cytometry for intraoperative detection of tumor cells in SLNs.
METHODS: Sixty-five consecutive gastric cancer patients were included. SLN analysis was carried out for a single SLN from each patient, using the molecular methods of RT-qPCR (first 30 patients) and flow cytometry (final 35 patients). All LNs underwent hematoxylin and eosin staining and immunohistochemical examination.
RESULTS: Extraction of the SLN from a high-risk station was an important determinant for accurate prediction of LN metastases. For RT-qPCR, the sensitivity and specificity of detection were 72.7% and 81.8%, respectively, and for flow cytometry, 36.8% and 100%, respectively. When only high-risk SLNs were analyzed and specimens with <10% viability of leukocytes were excluded, the sensitivity and specificity of flow cytometry were 60% and 100%, respectively. Multivariate analysis identified significant predictors for LN metastases as the molecular method of SLN analysis (P = 0.021; 95% confidence interval [CI]: 1.304-24.284) and lymphovascular invasion (P = 0.002; 95% CI: 2.142-28.555). In subgroup analysis of high-risk SLNs, only RT-qPCR was a significant predictor for LN metastases (P = 0.016; 95% CI: 1.581-91.084).
CONCLUSIONS: Flow cytometry of high-risk SLNs, excluding specimens with low cell viability is a rapid, cost-effective, widely obtainable, and highly specific method for SLN metastases detection although it lacks the necessary sensitivity. Therefore, it cannot be recommended as a stand-alone method for the detection of LN metastases during operations.
METHODS: Sixty-five consecutive gastric cancer patients were included. SLN analysis was carried out for a single SLN from each patient, using the molecular methods of RT-qPCR (first 30 patients) and flow cytometry (final 35 patients). All LNs underwent hematoxylin and eosin staining and immunohistochemical examination.
RESULTS: Extraction of the SLN from a high-risk station was an important determinant for accurate prediction of LN metastases. For RT-qPCR, the sensitivity and specificity of detection were 72.7% and 81.8%, respectively, and for flow cytometry, 36.8% and 100%, respectively. When only high-risk SLNs were analyzed and specimens with <10% viability of leukocytes were excluded, the sensitivity and specificity of flow cytometry were 60% and 100%, respectively. Multivariate analysis identified significant predictors for LN metastases as the molecular method of SLN analysis (P = 0.021; 95% confidence interval [CI]: 1.304-24.284) and lymphovascular invasion (P = 0.002; 95% CI: 2.142-28.555). In subgroup analysis of high-risk SLNs, only RT-qPCR was a significant predictor for LN metastases (P = 0.016; 95% CI: 1.581-91.084).
CONCLUSIONS: Flow cytometry of high-risk SLNs, excluding specimens with low cell viability is a rapid, cost-effective, widely obtainable, and highly specific method for SLN metastases detection although it lacks the necessary sensitivity. Therefore, it cannot be recommended as a stand-alone method for the detection of LN metastases during operations.
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