Relationship between clinical pathological parameters such as SII, NLR, PLR and PNI and CTC test results in patients with gastric cancer

For the first time, doctors found that clinical pathological indicators such as SII, NLR, PLR, and PNI were related to CTC test results.

Lead:

In a variety of malignant tumors, Circulating tumor cells (CTC) and host inflammatory effects are two important independent predictors. Exploring the relationship between CTC test results and each indicator will help to further evaluate the prognosis of patients.

Background introduction:
Gastric cancer (GC) is the fourth largest cancer in the world, and its mortality rate ranks second. Lymph node metastasis and organ invasion are the most important factors leading to poor prognosis in patients with gastric cancer. Clinicians mainly take different treatments for patients with gastric cancer based on the age of the patient, the location of the tumor and the stage. The prognosis of patients with gastric cancer is strongly correlated with the stage, and early diagnosis can effectively improve the survival of patients with gastric cancer.

Many studies have shown that the number of circulating tumor cells (CTCs) is an independent predictor of pre-treatment/treatment in patients with breast cancer, small cell lung cancer, colorectal cancer and gastric cancer, and can be used for assisted diagnosis, targeted therapy, and prognostic evaluation. Wait. Some clinicopathological indicators are closely related to the prognosis of tumor patients, such as SII (Systemic immune-inflammation index), NLR (Neutrophil lymphocyte ratio), PLR (Platelet lymphocyte ratio), PNI (Prognostic nutritional index). Therefore, it is of great clinical significance to explore the relationship between the number and positive rate of CTC detection and clinical pathological indicators such as SII, NLR, PLR, and PNI.

research content:
The study used the ISET (Isolation by size of epithelial tumor cells) principle to perform CTC testing on 60 patients with newly diagnosed gastric cancer before surgery using the CTCBIOPSY® Circulating Tumor Cell Capturer independently developed by Zhiyou Medical. At the same time, the levels of clinical pathological indicators such as SII, NLR, PLR, and PNI were measured, and the relationship between CTC test results and these indicators was analyzed. The results of the study showed that the number of CTC detected in peripheral blood of patients with gastric cancer was related to tumor invasion, lymph node metastasis and TNM staging. The positive rate of CTC detection was associated with T (primary tumor) stage, lymph node metastasis, nerve fiber tumor invasion outside the lymph node, and TNM stage. Clinical pathological parameters such as SII, NLR, PLR, and PNI were correlated with the number of CTC tests and the positive rate.

Analysis conclusion:
The combination of ISET platform and Wright-Gemsa staining method can effectively detect CTC in peripheral blood, and the detected CTC/CTM has complete cell morphology. Compared with patients with early gastric cancer, there is a higher positive rate of CTC detection and more CTC detection in peripheral blood of patients with locally advanced and metastatic gastric cancer. In patients with gastric cancer, clinical pathological indicators such as SII, NLR, PLR, and PNI are strong predictors of preoperative circulating tumor cell detection in gastric cancer patients.

a picture: CTC b picture: CTM c picture: white blood cells


Relationship between CTC detection quantity and positive rate and TNM staging


SII, NLR, PLR, PNI and other indicators related to CTC detection


     SII, NLR, PLR, PNI and other indicators related to the number of CTCs

This article is the research result of the cooperation between Professor Xiong Bin and the Zhiyou Medical Research Group of Zhongnan Hospital of Wuhan University!

Original source:
Zheng, L., et al., Inflammation-based indexes and clinicopathologic features are strong predictive values ​​of preoperative circulating tumor cell detection in gastric cancer patients. Clin Transl Oncol, 2017.

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