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High Efficient Isolation of Tumor Cells by a Three Dimensional Scaffold Chip for Diagnosis of Malignant Effusions
journal contribution
posted on 2020-03-10, 15:32 authored by Shan Tian, Shi-Bo Cheng, Ying-Yun Guo, Min Xie, Na Zhan, Zhi Zeng, Wei-Hua Huang, Wei-Guo DongHigh
efficient detection of effusion tumor cells (ETCs) has great
clinical significance to identify malignant from benign effusions,
but few strategies are designed to enrich and identify tumor cells
from effusions. Herein, we developed a three-dimensional scaffold
microchip (3D scaffold chip) which could efficiently isolate individual
ETC and ETC cluster (ETC/cluster) from pleural effusions and ascites
by molecular recognition and physical obstruction.
The 3D scaffold chip could enrich ETCs with 94.7% capture efficiency
from 2 mL effusions in 20 min and was successfully applied to analysis
of pleural effusions or ascites from 152 patients. The results showed
that patients with malignant effusions possessed a much higher number
of ETC/cluster than that of patients with benign effusions and receiver
operating characteristic (ROC) analysis revealed that ETC/cluster
count can be used as a complementary biomarker for diagnosis of malignant
effusions. Finally, univariate and multivariate logistic regression
analyses were adopted to find effusion variables with statistical
difference in diagnosis of malignant effusions, and three variables
(ETC/cluster count and effusion carcinoembryonic antigen) were selected
to establish a three-marker predictive model for differentiating malignant
and benign effusions in the training set. ROC analysis revealed that
the AUC (area under the curve), sensitivity, and specificity of the
predictive model were 0.939, 90.4%, and 91.8%, respectively. The three-marker
predictive model was successfully applied to the validation set and
proved that this model was promising for clinical diagnosis of effusions
from patients.