ArticleBMC cancer2022
Collagen fiber features and COL1A1: are they associated with elastic parameters in breast lesions, and can COL1A1 predict axillary lymph node metastasis?
Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- The association between tumor-stromal collagen features and the clinical outcomes of patients with breast cancer: a systematic review.Breast cancer research : BCR · 2025Pooled it
- Differences in collagen structure and organization in primary and metastatic pancreatic cancer and the effects of FOLFIRINOX treatment.Matrix biology plus · 2026Article
- Shear Wave Elastography: A Non-Invasive Approach for Assessing TGF-β1/MAPK Signaling Molecules and EMT in Breast Cancer.Breast cancer (Dove Medical Press) · 2025Article
- From ductal carcinoma in situ to invasive breast cancer: the prognostic value of the extracellular microenvironment.Journal of experimental & clinical cancer research : CR · 2024Review
- Development and Characterization of 3-Dimensional Cell Culture Models of Adrenocortical Carcinoma.Endocrinology · 2024Article
- Differentially expressed extracellular matrix genes functionally separate ameloblastoma from odontogenic keratocyst.BMC oral health · 2024Article
- The value of microvascular Doppler ultrasound technique, qualitative or quantitative shear-wave elastography of breast lesions for predicting axillary nodal burden in patients with breast cancer.Quantitative imaging in medicine and surgery · 2024Article
- The correlation between multi-mode ultrasonographic features of breast cancer and axillary lymph node metastasis.Frontiers in oncology · 2024Article
- Exploring the Potential Role of Circulating microRNAs as Biomarkers for Predicting Clinical Response to Neoadjuvant Therapy in Breast Cancer.International journal of molecular sciences · 2023Review
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to explore whether collagen fiber features and collagen type I alpha 1 (COL1A1) are related to the stiffness of breast lesions and whether COL1A1 can predict axillary lymph node metastasis (LNM).
methodsNinety-four patients with breast lesions were consecutively enrolled in the study. Amongst the 94 lesions, 30 were benign, and 64 were malignant (25 were accompanied by axillary lymph node metastasis). Ultrasound (US) and shear wave elastography (SWE) were performed for each breast lesion before surgery. Sirius red and immunohistochemical staining were used to examine the shape and arrangement of collagen fibers and COL1A1 expression in the included tissue samples. We analyzed the correlation between the staining results and SWE parameters and investigated the effectiveness of COL1A1 expression levels in predicting axillary LNM.
resultsThe optimal cut-off values for Emax, Emean, and Eratio for diagnosing the benign and malignant groups, were 58.70 kPa, 52.50 kPa, and 3.05, respectively. The optimal cutoff for predicting axillary LNM were 107.5 kPa, 85.15 kPa, and 3.90, respectively. Herein, the collagen fiber shape and arrangement features in breast lesions were classified into three categories. One-way analysis of variance (ANOVA) showed that Emax, Emean, and Eratio differed between categories 0, 1, and 2 (P < 0.05). Meanwhile, elasticity parameters were positively correlated with collagen categories and COL1A1 expression. The COL1A1 expression level > 0.145 was considered the cut-off value, and its efficacy in benign and malignant breast lesions was 0.808, with a sensitivity of 66% and a specificity of 90%. Furthermore, when the COL1A1 expression level > 0.150 was considered the cut-off, its efficacy in predicting axillary LNM was 0.796, with sensitivity and specificity of 96% and 59%, respectively.
conclusionsThe collagen fiber features and expression levels of COL1A1 positively correlated with the elastic parameters of breast lesions. The expression of COL1A1 may help diagnose benign and malignant breast lesions and predict axillary LNM.
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