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Chinese Journal of Operative Procedures of General Surgery(Electronic Edition) ›› 2024, Vol. 18 ›› Issue (06): 630-633. doi: 10.3877/cma.j.issn.1674-3946.2024.06.011

• Original Article • Previous Articles    

Application of circulating tumor cells in neoadjuvant and postoperative adjuvant therapy for breast cancer

Lingyan Wang1, Chunhui Gao1, Xueyuan Feng2, Xinmiao Cui2, Huan Liu2, Wenming Zhao2, Jinku Zhang3,()   

  1. 1. Department of Breast Surgery, Baoding First Central Hospital, Baoding Hebei Province 071000, China;Key Laboratory of Molecular Pathology and Early Diagnosis of Tumor in Hebei Province, Baoding Hebei Province 071000, China
    2. Department of Breast Surgery, Baoding First Central Hospital, Baoding Hebei Province 071000, China
    3. Department of Pathology, Baoding First Central Hospital, Baoding Hebei Province 071000, China;Key Laboratory of Molecular Pathology and Early Diagnosis of Tumor in Hebei Province, Baoding Hebei Province 071000, China
  • Received:2023-10-23 Online:2024-12-26 Published:2024-09-27
  • Contact: Jinku Zhang
  • Supported by:
    Hebei Medical Science Research Program Project(20220282); Baoding Science and Technology Plan Project(2141ZF237)

Abstract:

Objective

To investigate the efficacy monitoring and clinical significance of circulating tumor cell (CTC) capture system with CellCollector in breast cancer patients.

Methods

Clinical data of 110 patients with breast cancer from January 2018 to December 2022 were retrospectively analyzed, and the patients were divided into CTC-negative group (n=34 cases) and CTC-positive group (n=76 cases) according to the results of CTC detection (threshold was 1). SPSS 23.0 software was used to analyze the data. Measurement data conforming to normal distribution were represented by (), and independent sample t test was used for comparison between groups. The count data were presented as [cases (%)]. χ2 test or Fisher exact probability method were used for comparison between groups. Spearman method was used for correlation analysis. P<0.05 was considered statistically significant.

Results

In different clinical characteristics of breast cancer, the baseline positive CTC detection rate was significantly different in different molecular types (LuminalA, LuminalB, TNBC, HER-2 positive), HR (positive and negative groups), and Ki-67 (high, middle and low groups), with P values of 0.021, 0.043, 0.041, respectively. The results were statistically significant.

Conclusion

The detection rate of CTC capture technology in CellCollector was high in breast cancer patients, and the detection rate was relate d to the molecular typing, HR typing and ki67 expression level of breast cancer, which provided a basis for CTC to identify the population with high recurrence risk and predict the prognosis.

Key words: Breast Neoplasms, Neoplastic Cells, Circulating, CellCollector, Molecular Typing

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