ArticleJCO global oncology2020
Clinicopathologic Features Predictive of Distant Metastasis in Patients Diagnosed With Invasive Breast Cancer.
Article in JCO global oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- The Yield of Staging Investigations in Patients with Breast Cancer Planned for Neoadjuvant Chemotherapy.Current oncology (Toronto, Ont.) · 2026Article
- Association between hospital volume and survival in patients with locally advanced breast cancer.Breast cancer research and treatment · 2025Article
- De Novo bone metastasis in breast cancer: tumor biology and survival outcomes in a retrospective study from Pakistan.BMC cancer · 2025Article
- Guidance for Canadian Breast Cancer Practice: National Consensus Recommendations for Clinical Staging of Patients Newly Diagnosed with Breast Cancer.Current oncology (Toronto, Ont.) · 2024Article
- Innovative Surgical Approaches That Improve Individual Outcomes in Advanced Breast Cancer.International journal of women's health · 2024Review
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- Multimodal AI for prediction of distant metastasis in carcinoma patients.Frontiers in bioinformatics · 2023Article
- Locally advanced breast cancer.Breast (Edinburgh, Scotland) · 2022Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeNational Comprehensive Cancer Network and European Society for Medical Oncology guidelines suggest screening for distant metastasis (M1) in symptomatic patients or those with locally advanced breast cancer. These guidelines are based on studies that often used pathologic staging for analysis. Physician variability in screening for M1 has also resulted in overuse of diagnostic tests. We sought to identify clinicopathologic features at diagnosis that could guide testing for metastatic disease.
methodsPatients diagnosed with invasive breast cancer between January 2014 and December 2015 were identified from our institutional database. Demographic and clinical variables were collected, including receptor profiles and clinical TNM staging. Rates of upstaging for each clinical stage and rates of concordance of pathologic and clinical staging were analyzed. Univariate analysis and multivariate regression analysis (
resultsA total of 370 patients met the inclusion criteria. Seventy patients (18.9%) had metastatic disease at diagnosis. The rate of upstaging for stages I, IIA, IIB, and III were 0%, 5.6%, 18.8%, and 36.6%, respectively. Advancing clinical stage, tumor size, and nodal status resulted in a significantly higher rate (
conclusionAdvancing clinical stage, tumor size, and nodal status at diagnosis were predictive of upstaging to M1 disease in patients with breast cancer. Distant metastatic workup should be considered in patients with clinical stage IIB disease or higher.
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