The role of infraclavicular and supraclavicular lymph nodes in breast cancer patients receiving neoadjuvant chemotherapy: implications for regional lymph node classification
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Metastasis to the infraclavicular and supraclavicular lymph nodes (ISLNs) is an important factor that predicts poor survival in patients with breast cancer; however, pathological nodal staging does not traditionally include ISLNs because of their non-routine surgical dissection. This study aimed to evaluate the prognostic impact of ISLN metastasis and propose a refined nodal staging system tailored for patients undergoing neoadjuvant chemotherapy (NAC). Methods: We retrospectively reviewed 1,072 patients with breast cancer with or without ISLN metastasis who received NAC at two institutions (Fujian cohort and Hebei cohort) from 2010 to 2022. We conducted detailed survival analysis to evaluate the diagnostic consistency and prognostic significance of ISLNs. Results: < 0.001). After adjusting for potential confounders, ISLN involvement persisted as an independent predictor of both PFS and OS. We propose a refined axillary classification that combines pathological axillary staging post-NAC with ISLN involvement, revealing 3-year PFS rates of 95.3 %, 87.6 %, 73.4 %, and 64.5 % for the respective four groups defined by this refined classification combining axillary stage and ISLN status. Conclusions: Involvement of the ISLNs was associated with a worse prognosis, underscoring their prognostic value. This finding highlights the potential of ISLN status to influence decisions regarding adjuvant treatment in patients with breast cancer.
Authors: Yanyu Chen, Yuzhi Song, Zhonghua Han, Hui Han, Tianlan Tang, Silin Chen, Ruizhi Zhao, Cheng Huang, Guiqing Shi, Yuping Lin, Ying Wang, Liuqing Jiang, Jinhua Chen, Chunsen Xu, Fangmeng Fu, Chuan Wang, Yong Yang
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,160
Funder: Fujian Medical University
Award: G1712256613
OpenAlex ID: W4409912200
