Haofeng Wang, Jinling Yu, W. Shen, Haiyan Zhao, Jing Cui, B. Gao
{"title":"The ratio of lymphocyte/red blood cells and platelets/lymphocytes are predictive biomarkers for lymph node metastasis in patients with breast cancer","authors":"Haofeng Wang, Jinling Yu, W. Shen, Haiyan Zhao, Jing Cui, B. Gao","doi":"10.3233/cbm-220260","DOIUrl":null,"url":null,"abstract":"BACKGROUND: Axillary lymph node metastasis (LNM) affects the progression of breast cancer. However, it is difficult to preoperatively diagnose axillary lymph node status with high sensitivity. Therefore, we hypothesized that platelets/lymphocytes ratio (PLR) and lymphocytes/ red blood cells ratio (LRR) might help in the prognosis of lymph node metastasis in T1-T2 breast cancer. METHODS: 166 patients (Chang Ning Maternity & Infant Health Institute) were included in our study, and the associations of PLR and LPR with lymph node metastasis were investigated. Peripheral blood was collected one week before the surgery, and the patients were divided into different categories based on their PLR and LRR. RESULTS: The incidence of LNM was significantly increased in the high PLR group (p= 0.002) compared with the low PLR group; LNM was also significantly increased in the low LRR group (p= 0.036) compared with the high LPR group. Further, our study revealed that high PLR (p< 0.001, OR = 4.397, 95% CI = 2.005–9.645), low LRR (p= 0.017, OR = 0.336, 95%CI = 0.136–0.825) and high clinical T stage (p< 0.001, OR = 3.929, 95%CI = 1.913–8.071) are independent predictors of LNM. CONCLUSIONS: PLR and LRR could be identified as predictors of LNM in patients with T1/T2 breast cancer.","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":"9 5","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Biomarkers","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3233/cbm-220260","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
BACKGROUND: Axillary lymph node metastasis (LNM) affects the progression of breast cancer. However, it is difficult to preoperatively diagnose axillary lymph node status with high sensitivity. Therefore, we hypothesized that platelets/lymphocytes ratio (PLR) and lymphocytes/ red blood cells ratio (LRR) might help in the prognosis of lymph node metastasis in T1-T2 breast cancer. METHODS: 166 patients (Chang Ning Maternity & Infant Health Institute) were included in our study, and the associations of PLR and LPR with lymph node metastasis were investigated. Peripheral blood was collected one week before the surgery, and the patients were divided into different categories based on their PLR and LRR. RESULTS: The incidence of LNM was significantly increased in the high PLR group (p= 0.002) compared with the low PLR group; LNM was also significantly increased in the low LRR group (p= 0.036) compared with the high LPR group. Further, our study revealed that high PLR (p< 0.001, OR = 4.397, 95% CI = 2.005–9.645), low LRR (p= 0.017, OR = 0.336, 95%CI = 0.136–0.825) and high clinical T stage (p< 0.001, OR = 3.929, 95%CI = 1.913–8.071) are independent predictors of LNM. CONCLUSIONS: PLR and LRR could be identified as predictors of LNM in patients with T1/T2 breast cancer.
期刊介绍:
Concentrating on molecular biomarkers in cancer research, Cancer Biomarkers publishes original research findings (and reviews solicited by the editor) on the subject of the identification of markers associated with the disease processes whether or not they are an integral part of the pathological lesion.
The disease markers may include, but are not limited to, genomic, epigenomic, proteomics, cellular and morphologic, and genetic factors predisposing to the disease or indicating the occurrence of the disease. Manuscripts on these factors or biomarkers, either in altered forms, abnormal concentrations or with abnormal tissue distribution leading to disease causation will be accepted.