scholarly journals Gastric Cancer Cells in Peritoneal Lavage Fluid: A Systematic Review Comparing Cytological with Molecular Detection for Diagnosis of Peritoneal Metastases and Prediction of Peritoneal Recurrences

2018 ◽  
Vol 38 (3) ◽  
2021 ◽  
Author(s):  
Dongbin Zhao ◽  
Pinli Yue ◽  
Tongbo Wang ◽  
Pei Wang ◽  
Qianqian Song ◽  
...  

Abstract Peritoneal dissemination (PD) is the major type of gastric cancer (GC) recurrence and leads to rapid death. Current approach cannot precisely determine which patients are at high risk of PD. In this study, we developed a technology to detect minimal residual cancer cells in peritoneal lavage fluid (PLF) samples by parallel profiling tumor-specific mutations. We applied the technology to a prospective cohort of 110 GC patients. The technology showed ultra-high sensitivity by successfully detecting all the 27 cases that developed PD. The minimal residual cancer cells in PLF was associated with an increased risk of PD (HR = 145.13; 95%CI = 20.20-18435.79; p < 0.001) and significantly shorter overall survival. In pathologically high-risk (T4) patients, the PLF mutation profiling model exhibited even greater specificity of 91% and positive predictive value of 88%, while retaining sensitivity of 100%. PLF cancer cell fraction remained the strongest independent predictor of PD and recurrence-free survival over pathologic diagnosis and cytological diagnosis in GC patients. This approach may help in the postsurgical management of GC patients by detecting PD far before the metastatic lesions grow to significant size detectable by conventional methods such as MRI and CT scanning.


2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Dongbing Zhao ◽  
Pinli Yue ◽  
Tongbo Wang ◽  
Pei Wang ◽  
Qianqian Song ◽  
...  

AbstractPeritoneal dissemination (PD) is a major type of gastric cancer (GC) recurrence and leads to rapid death. Current approaches cannot precisely determine which patients are at high risk of PD to provide early intervention. In this study, we developed a technology to detect minimal residual cancer cells in peritoneal lavage fluid (PLF) samples with a personalized assay profiling tumor-specific mutations. In a prospective cohort of 104 GC patients, the technology detected all the cases that developed PD with 100% sensitivity and 85% specificity. The minimal residual cancer cells in PLF were associated with a significantly increased risk of PD (HR = 145.13; 95% CI 20.20–18,435.79; p < 0.001), which was the strongest independent predictor over pathologic diagnosis and cytological diagnosis. In pathologically high-risk (pT4) patients, the PLF mutation profiling model exhibited a greater specificity of 91% and a positive predictive value of 88% while retaining a sensitivity of 100%. This approach may help in the postsurgical management of GC patients by detecting PD far before metastatic lesions grow to a significant size detectable by conventional methods such as MRI and CT scanning.


2020 ◽  
Vol 6 (32) ◽  
pp. eaba9628
Author(s):  
Yuzhao Zhang ◽  
Junhua Zhao ◽  
Haibo Yu ◽  
Pan Li ◽  
Wenfeng Liang ◽  
...  

Detection of free gastric cancer cells in peritoneal lavages and ascites plays a vital role in gastric cancer. However, due to the low content of cancer cells in patients’ peritoneal lavages, traditional detection methods lack sensitivity and cannot satisfy clinical demand. In this study, we used an optically induced electrokinetics (OEK) microfluidic method for label-free separation and characterization of patient gastric cancer cells. This method showed high effectiveness and sensitivity. We successfully separated cancer cells from a simulated peritoneal lavage mixture of gastric cancer cell lines and peritoneal lavage cells in a ratio of 1:1000. We further separated gastric cancer cells from six patients’ ascites with purity up to 71%. In addition, we measured the cell membrane capacitances, which may be used as a biomarker for gastric cancer cells. Thus, our method can be used to effectively and rapidly detect peritoneal metastasis and to acquire cellular electrical information.


2013 ◽  
Vol 38 (5) ◽  
pp. 1107-1111 ◽  
Author(s):  
Akihiro Takata ◽  
Yukinori Kurokawa ◽  
Yoshiyuki Fujiwara ◽  
Yurika Nakamura ◽  
Tsuyoshi Takahashi ◽  
...  

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