ArticleMedical science monitor : international medical journal of experimental and clinical research2014
Tumor characteristics of breast cancer in predicting axillary lymph node metastasis.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The relationship of lymphatic vessel density, lymphovascular invasion, and lymph node metastasis in breast cancer: a systematic review and meta-analysis.Oncotarget · 2017Pooled it
- A negative binomial regression model for risk estimation of 0-2 axillary lymph node metastases in breast cancer patients.Scientific reports · 2020Trial
- Leveraging immune and clinicopathological profiles with machine learning to predict axillary lymph node metastasis in breast cancer patients.Breast cancer research : BCR · 2026Observational
- Elevated CD36 drives lymph node metastasis of breast cancer by activating Hippo-YAP signaling-mediated anoikis resistance.Communications biology · 2025Article
- Combining primary tumor features derived from conventional and contrast-enhanced ultrasound facilitates the prediction of positive axillary lymph nodes in Breast Imaging Reporting and Data System category 4 malignant breast lesions.Diagnostic and interventional radiology (Ankara, Turkey) · 2023Article
- Identification of senescence-associated long non-coding RNAs to predict prognosis and immune microenvironment in patients with hepatocellular carcinoma.Frontiers in genetics · 2022Article
- Nomogram models for stratified prediction of axillary lymph node metastasis in breast cancer patients (cN0).Frontiers in endocrinology · 2022Article
- TGF-β1: is it related to the stiffness of breast lesions and can it predict axillary lymph node metastasis?Annals of translational medicine · 2021Article
- Development and validation of a nomogram for prediction of lymph node metastasis in early-stage breast cancer.Gland surgery · 2021Article
- Establishment of risk prediction nomogram for ipsilateral axillary lymph node metastasis in T1 breast cancer.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2021Article
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- Impact of Size of the Tumour, Persistence of Estrogen Receptors, Progesterone Receptors, HER2Neu Receptors and Ki67 Values on Positivity of Axillary Lymph Nodes in Patients with Early Breast Cancer with Clinically Negative Axillary Examination.Open access Macedonian journal of medical sciences · 2017Article
- Predictive Value of Clinicopathological Characteristics for Sentinel Lymph Node Metastasis in Early Breast Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2017Article
- Quantitative apparent diffusion coefficient measurement obtained by 3.0Tesla MRI as a potential noninvasive marker of tumor aggressiveness in breast cancer.European journal of radiology · 2016Article
- Experimental Study of Magnetic Multi-Walled Carbon Nanotube-Doxorubicin Conjugate in a Lymph Node Metastatic Model of Breast Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2016Article
- Metastatic Breast Cancer in Medication-Related Osteonecrosis Around Mandibular Implants.The American journal of case reports · 2015Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTumor characteristics was sought to be related to axillary lymph node metastasis (ALNM), the paramount prognostic factor in patients with invasive breast cancer. This study was aimed to identify the ALNM-associated tumor characteristics and to determine the predictive clinical pathway. MATERIAL AND
methodsData from 1325 patients diagnosed with invasive breast cancer between January 2004 and January 2010 were retrospectively reviewed. The structure equation model (SEM) was used to build the predictive clinical pathway.
resultsAmong the factors found in the final model, the status of human epidermal growth factor receptor 2 is the primary influence on ALNM through histology grade (β=0.18), followed by tumor size (β=0.16). Tumor size was highly relevant to lymphovascular invasion (LVI) and influenced ALNM through LVI (β=0.26), the strongest predictor of ALNM in the final model (β=0.46) and the highest risk of ALNM (odds ratio=9.282; 95% confidence interval: 7.218-11.936).
conclusionsThe structure equation model presented the relation of these important predictors, and might help physicians to assess axillary nodal condition and appropriate surgical procedures.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.