Risk factors for lymph node metastasis in patients with unifocal breast cancer

Background. Pure mucinous breast cancer (PMBC) has a better prognosis than other types of invasive breast cancer. However, regional lymph node metastasis (LNM) might reverse this outcome. We aim to determine the independent predictive factors for regional LNM and further develop a nomogram model for clinical practice. Method. Data of PMBC patients from the Surveillance, Epidemiology, and End Results (SEER) program between Jan 2010 and Dec 2015 were retrospectively reviewed. Univariate and multivariate logistic regression analyses were used to determine the risk factors for LNM in T1-2 MBC. The nomogram was constructed and further evaluated by an internal validation cohort. The receiver operating characteristic (ROC) curves, decision curve analysis (DCA), and calibration curves were performed to evaluate the accuracy of this model. Result. Five variables, including age, race, tumor size, grade, and breast subtype, were identified to be significantly associated with regional LNM in female patients with T1-2 PMBC. A nomogram was successfully established with a favorable concordance index (C-index) of 0.780, supported by an internal validation cohort with a C-index of 0.767. Conclusion. A nomogram for predicting regional LNM in female patients with T1-2 PMBC was successfully established and validated via an internal cohort. This visualized model would assist surgeons to make appropriate clinical decisions in the management of primary PMBC, especially in terms of whether axillary lymph node dissection (ALND) is warranted.

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Risk factors for axillary lymph node metastasis in breast cancer

Annals of Medical Research ◽

10.5455/annalsmedres.2019.06.345 ◽

2019 ◽

Vol 26 (10) ◽

pp. 2139

Author(s):

Eray Kurnaz ◽

Bilgin Celebi ◽

Banu Karapolat ◽

Huseyin Eken ◽

Uzer Kucuktulu

Keyword(s):

Breast Cancer ◽

Risk Factors ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Axillary Lymph Node ◽

Axillary Lymph Node Metastasis ◽

Axillary Lymph ◽

Node Metastasis

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Analysis on factors behind sentinel lymph node metastasis in breast cancer by color ultrasonography, molybdenum target and pathological detection

10.21203/rs.3.rs-961649/v1 ◽

2021 ◽

Author(s):

Aibibai Yiming ◽

Muhetaer Wubulikasimu ◽

Nuermaimaiti Yusuying

Keyword(s):

Breast Cancer ◽

Risk Factors ◽

Lymph Node ◽

Sentinel Lymph Node ◽

Lymph Node Metastasis ◽

Expression Profiles ◽

Sentinel Lymph Node Metastasis ◽

Tumor Diameter ◽

Node Metastasis ◽

Independent Risk Factors

Abstract Background This study aimed to collect the factors underlying the metastasis of breast cancer and sentinel lymph node, and to screen and analyze the risk factors of sentinel lymph node metastasis, so as to provide reference and basis for clinical work. Methods A total of 100 patients with breast cancer were enrolled in the study. These patients received treatment in our hospital from May 2017 to May 2020. The general information, the characteristics of the color Doppler echocardiography, molybdenum, conventional pathology and molecular pathology of the patients were collected. The influencing factors of sentinel lymph node metastasis in breast cancer patients were retrospectively analyzed. Results In this study, age, tumor diameter and BI-RADS category, pathology type, expression profiles of CK5/6, EGFR, and CK19, and TP53 and BRAC1/2 mutations were independent risk factors for sentinel lymph node metastasis in breast cancer (P<0.05). The number and locations of tumors, the quadrant of tumors, the regularity of tumor margins, the presence of blood flow signals, the presence of posterior echo attenuation, the presence of calcification, histological grade, molecular typing, and mutations of BRAF, ATM and PALB2 were irrelevant factors (P>0.05). Conclusions In conclusion, age, tumor diameter, Bi-rads category, invasive type, expression of CK5/6, EGFR and CK19, and mutations of TP53 and BRAC1/2 were positively correlated with sentinel lymph node metastasis. They are independent risk factors that should be paid more attention in clinical studies, to strengthen the management and control of sentinel lymph node metastasis of high-risk breast cancer, and support early chemotherapy or targeted therapy.

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Risk Factors, Prognostic Factors, and Nomogram for Distant Metastasis in Breast Cancer Patients Without Lymph Node Metastasis

Frontiers in Endocrinology ◽

10.3389/fendo.2021.771226 ◽

2021 ◽

Vol 12 ◽

Author(s):

Yu Min ◽

Xiaoman Liu ◽

Daixing Hu ◽

Hang Chen ◽

Jialin Chen ◽

...

Keyword(s):

Breast Cancer ◽

Risk Factors ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Cancer Patients ◽

Distant Metastasis ◽

Clinicopathological Characteristics ◽

Risk Level ◽

Breast Cancer Patients ◽

Node Metastasis

BackgroundLymph node negative (N0) breast cancer can be found coexisting with distant metastasis (DM), which might consequently make clinicians underestimate the risk of relapse and insufficient treatment for this subpopulation.MethodsThe clinicopathological characteristics of N0 breast cancer patients from the Surveillance, Epidemiology, and End Results (SEER) database between January 2010 and December 2015 were retrospectively reviewed. Multivariate logistic and Cox analyses were used to identify independent risk factors in promoting DM and the 1-, 3-, and 5- year cancer-specific survival (CSS) in this subpopulation.ResultSeven factors including age (<40 years), tumor size (>10 mm), race (Black), location (central), grade (poor differentiation), histology (invasive lobular carcinoma), and subtype (luminal B and Her-2 enriched) were associated with DM, and the area under curve (AUC) was 0.776 (95% CI: 0.763–0.790). Moreover, T1-3N0M1 patients with age >60 years at diagnosis, Black race, triple-negative breast cancer subtype, no surgery performed, and multiple DMs presented a worse 1-, 3-, and 5-year CSS. The areas under the ROC for 1-, 3-, and 5- year CSS in the training cohort were 0.772, 0.741, and 0.762, respectively, and 0.725, 0.695, and 0.699 in the validation cohort.ConclusionThe clinicopathological characteristics associated with the risk of DM and the prognosis of female breast cancer patients without lymph node metastasis but with DM are determined. A novel nomogram for predicting 1-, 3-, 5- year CSS in T1-3N0M1 patients is also well established and validated, which could help clinicians better stratify patients who are at a high-risk level for receiving relatively aggressive management.

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