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C-C Motif Chemokine Ligand 5 (CCL5) as a Predictive Marker for Non-sentinel Lymph Node Presence in Initial-Stage Breast Cancer with 1-2 Affected Sentinel Lymph Nodes.

作者信息

Zhu Yongyun, Zhang Mingxiang, Liu Xin, Xie Min, Xiang Honggang, Zhu Zheng-Zhi

机构信息

Department of General Surgery, Pudong New Area People's Hospital, Shanghai, 201299, People's Republic of China.

Department of Pulmonary and Critical Care Medicine, Shanghai Pudong New Area Gongli Hospital, Shanghai, 200135, People's Republic of China.

出版信息

Mol Biotechnol. 2025 Jun;67(6):2239-2245. doi: 10.1007/s12033-024-01191-w. Epub 2024 Jun 7.


DOI:10.1007/s12033-024-01191-w
PMID:38848013
Abstract

The objective of our study was to use quantum dots for the purpose of seeing and detecting C-C motif chemokine ligand 5 (CCL5) inside the tissue of sentinel lymph nodes (SLN) and primary tumors. This endeavor aimed to enhance the accuracy of predicting the condition of non-sentinel lymph nodes and provide valuable insights for making informed treatment choices. We analyzed breast cancer patients who underwent sentinel lymph node biopsy followed by axillary lymph node removal due to one or two positive sentinel lymph nodes at the Second People's Hospital of Wuhu, China, between August 2018 and July 2022. Quantum dot technology was employed to visualize and determine CCL5 in the tissue samples from 84 patients. Out of a group diagnosed with breast cancer, 208 underwent sentinel lymph node biopsy. From this pool, 84 tested positive and subsequently underwent axillary lymph node removal. The presence of distinct orange-red fluorescence, linked to quantum dots, was evident in the cellular components of both primary tumors and positive sentinel lymph node tissues. We found a significant relationship between higher levels of SLNCCL5 and advanced tumor growth (P < 0.05). To understand the predictive value of SLN CCL5 related to non-sentinel lymph node status, we utilized the receiver operating characteristic (ROC) method. The area under the curve (AUC) calculated was 0.745 with a cutoff point of 23.285. Multivariate logistic regression was used to understand the effect of tumor dimensions and SLNCCL5 levels on non-sentinel lymph node status in specific patients. Both the size of the tumor and SLNCCL5 levels were found to have a significant impact (P < 0.05). Data suggested that the presence of positive SLNCCL5 might serve as an assessment parameter for anticipating the condition of non-SLN in cases of breast cancer involving T1 or T2 tumors with one or two positive sentinel lymph nodes.

摘要

相似文献

[1]
C-C Motif Chemokine Ligand 5 (CCL5) as a Predictive Marker for Non-sentinel Lymph Node Presence in Initial-Stage Breast Cancer with 1-2 Affected Sentinel Lymph Nodes.

Mol Biotechnol. 2025-6

[2]
A Dutch Prediction Tool to Assess the Risk of Additional Axillary Non-Sentinel Lymph Node Involvement in Sentinel Node-Positive Breast Cancer Patients.

Clin Breast Cancer. 2016-4

[3]
Positive non-sentinel axillary lymph nodes in breast cancer with 1-2 sentinel lymph node metastases.

Medicine (Baltimore). 2018-11

[4]
Prediction of additional lymph node involvement in breast cancer patients with positive sentinel lymph nodes.

Neoplasma. 2016

[5]
Prediction of non-sentinel lymph node metastases in T1-2 sentinel lymph node-positive breast cancer patients undergoing mastectomy following neoadjuvant therapy.

World J Surg Oncol. 2024-9-28

[6]
Factors predicting non-sentinel lymph node metastasis in T1-2 invasive breast cancer with 1-2 axillary sentinel lymph node metastases: Presentation of Ondokuz Mayis scoring system.

J BUON. 2016

[7]
Breast cancer larger than 2.5 cm with tumor-free radioisotope-hot sentinel nodes has higher risk of non-hot axillary lymph node metastasis.

Biomed J. 2022-4

[8]
New models and online calculator for predicting non-sentinel lymph node status in sentinel lymph node positive breast cancer patients.

BMC Cancer. 2008-3-4

[9]
Development and external validation of a nomogram to predict four or more positive nodes in breast cancer patients with one to three positive sentinel lymph nodes.

Breast. 2020-10

[10]
Predicting Non-sentinel Lymph Node Metastasis in a Chinese Breast Cancer Population with 1-2 Positive Sentinel Nodes: Development and Assessment of a New Predictive Nomogram.

World J Surg. 2015-12

本文引用的文献

[1]
Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.

CA Cancer J Clin. 2021-5

[2]
Omission of axillary lymph node dissection in patients who underwent total mastectomy with 1 or 2 metastatic lymph nodes.

Ann Surg Treat Res. 2020-6

[3]
CCL5 protein level: influence on breast cancer staging and lymph nodes commitment.

Mol Biol Rep. 2019-11-5

[4]
Effects of CCL5 on the biological behavior of breast cancer and the mechanisms of its interaction with tumor‑associated macrophages.

Oncol Rep. 2019-10-1

[5]
Comparative Study between Sentinel Lymph Node Biopsy and Axillary Dissection in Patients with One or Two Lymph Node Metastases.

J Breast Cancer. 2018-9

[6]
Axillary dissection versus no axillary dissection in patients with breast cancer and sentinel-node micrometastases (IBCSG 23-01): 10-year follow-up of a randomised, controlled phase 3 trial.

Lancet Oncol. 2018-9-5

[7]
The prognostic value of quantitative analysis of CCL5 and collagen IV in luminal B (HER2-) subtype breast cancer by quantum-dot-based molecular imaging.

Int J Nanomedicine. 2018-6-28

[8]
A mathematical prediction model incorporating molecular subtype for risk of non-sentinel lymph node metastasis in sentinel lymph node-positive breast cancer patients: a retrospective analysis and nomogram development.

Breast Cancer. 2018-4-25

[9]
Effect of Axillary Dissection vs No Axillary Dissection on 10-Year Overall Survival Among Women With Invasive Breast Cancer and Sentinel Node Metastasis: The ACOSOG Z0011 (Alliance) Randomized Clinical Trial.

JAMA. 2017-9-12

[10]
Preoperative prediction of sentinel lymph node metastasis in breast cancer based on radiomics of T2-weighted fat-suppression and diffusion-weighted MRI.

Eur Radiol. 2017-8-21

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