Purpose <p>To evaluate the predictive value of Slug-positive circulating tumor cells (CTCs) for responses to neoadjuvant chemotherapy in mesenchymal malignancies.</p> Methods <p>Prospective observational analysis of 59 patients receiving neoadjuvant chemotherapy. Peripheral blood was collected pre-treatment for CTC classification. Chemotherapy response was defined as complete response or partial response. Logistic regression identified factors associated with poor response. A combined model integrating Slug<sup>+</sup> epithelial CTCs (ECTCs) and Slug<sup>+</sup> mesenchymal CTCs (MCTCs) was developed. Receiver operating characteristic (ROC) analysis assessed predictive performance; Cox regression evaluated long-term outcomes.</p> Results <p>Responders had lower Slug<sup>+</sup> MCTCs (2.12 ± 1.84 vs. 3.85 ± 2.25) and higher Slug<sup>+</sup> ECTCs. The combined model showed superior predictive ability (AUC = 0.873) versus single CTC subtypes. Patients with predicted probability &gt; 0.62 were responders. Cox analysis indicated the model predicted long-term prognosis when Slug<sup>+</sup> MCTCs and Slug<sup>+</sup> ECTCs were not simultaneously zero.</p> Conclusions <p>Phenotypic heterogeneity influences neoadjuvant chemotherapy response. High Slug<sup>+</sup> MCTCs and low Slug<sup>+</sup> ECTCs indicate insensitivity. The combined model showed promising performance for identifying treatment response and potential prognostic relevance in this prospective cohort.</p>

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Predictive value of Slug-positive circulating tumor cells for neoadjuvant chemotherapy response in mesenchymal malignancies

  • Niezhenghao He,
  • Shilei Liu,
  • Haowen Cui,
  • Junwei Feng,
  • Weimin Liang,
  • Bao Yao,
  • Fusha Amu,
  • Baoxiu Xu,
  • Qingxin Fan,
  • Peng Hao

摘要

Purpose

To evaluate the predictive value of Slug-positive circulating tumor cells (CTCs) for responses to neoadjuvant chemotherapy in mesenchymal malignancies.

Methods

Prospective observational analysis of 59 patients receiving neoadjuvant chemotherapy. Peripheral blood was collected pre-treatment for CTC classification. Chemotherapy response was defined as complete response or partial response. Logistic regression identified factors associated with poor response. A combined model integrating Slug+ epithelial CTCs (ECTCs) and Slug+ mesenchymal CTCs (MCTCs) was developed. Receiver operating characteristic (ROC) analysis assessed predictive performance; Cox regression evaluated long-term outcomes.

Results

Responders had lower Slug+ MCTCs (2.12 ± 1.84 vs. 3.85 ± 2.25) and higher Slug+ ECTCs. The combined model showed superior predictive ability (AUC = 0.873) versus single CTC subtypes. Patients with predicted probability > 0.62 were responders. Cox analysis indicated the model predicted long-term prognosis when Slug+ MCTCs and Slug+ ECTCs were not simultaneously zero.

Conclusions

Phenotypic heterogeneity influences neoadjuvant chemotherapy response. High Slug+ MCTCs and low Slug+ ECTCs indicate insensitivity. The combined model showed promising performance for identifying treatment response and potential prognostic relevance in this prospective cohort.