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C-C Motif Chemokine Ligand 5 (CCL5) as a Predictive Marker for Non-sentinel Lymph Node Presence in Initial-Stage
Yongyun Zhu1, Mingxiang Zhang1, Xin Liu2
1Department of General Surgery, Pudong New Area People's Hospital, Shanghai, 201299, People's Republic of China.
Quantum dots detect C-C motif chemokine ligand 5 (CCL5) in breast cancer lymph nodes. Higher CCL5 levels predict non-sentinel lymph node status, aiding treatment decisions.
Area of Science:
- Oncology
- Biotechnology
- Medical Diagnostics
Background:
- Accurate prediction of non-sentinel lymph node (NSLN) status is crucial for breast cancer treatment.
- Sentinel lymph node biopsy (SLNB) is standard, but further assessment is often needed.
- C-C motif chemokine ligand 5 (CCL5) is implicated in tumor progression and metastasis.
Purpose of the Study:
- To utilize quantum dots (QDs) for visualizing and quantifying CCL5 in sentinel lymph nodes (SLNs) and primary tumors.
- To evaluate the predictive value of SLN CCL5 for NSLN metastasis in breast cancer patients.
- To enhance treatment decision-making by improving NSLN status prediction.
Main Methods:
- Quantum dot technology was employed for fluorescence-based detection of CCL5 in tissue samples.
- Analysis included 84 breast cancer patients with positive SLNs undergoing axillary lymph node dissection.
- Receiver operating characteristic (ROC) analysis and multivariate logistic regression were used to assess predictive value.
Main Results:
- Distinct orange-red fluorescence indicating CCL5 presence was observed in primary tumors and positive SLN tissues.
- Higher SLN CCL5 levels showed a significant correlation with advanced tumor growth (P < 0.05).
- The ROC analysis yielded an area under the curve (AUC) of 0.745 for predicting NSLN status, with a cutoff of 23.285.
Conclusions:
- CCL5 detected by quantum dots in SLNs is a significant predictor of NSLN metastasis in specific breast cancer cases.
- Tumor size and SLN CCL5 levels are independent predictors of NSLN status.
- This QD-based CCL5 detection offers a promising biomarker for refining breast cancer staging and guiding treatment strategies.
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