Updates on Lymphovascular Invasion in Breast Cancer

Kuhn, Elisabetta; Gambini, Donatella; Despini, Luca; Asnaghi, Dario; Runza, Letterio; Ferrero, Stefano

doi:10.3390/biomedicines11030968

Cited by 13 publications

(9 citation statements)

References 93 publications

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“…Lymphovascular invasion is a known marker for worse survival outcomes in breast cancer, as well as a risk factor for local recurrence and distant metastases. Lymphovascular invasion is more commonly seen in larger tumors, Her2+, and TNBC subtypes [18]. In addition, we were able to associate node-positive disease with shorter tumor-to-nipple distance and smaller tumors in the Her2+ subset compared to others.…”

Section: Discussionmentioning

confidence: 55%

Factors Predictive of Positive Lymph Nodes for Breast Cancer

Elleson,

Englander,

Gallagher

et al. 2023

Current Oncology

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Background: Axillary node status is an important prognostic factor in breast cancer. The primary aim was to evaluate tumor size and other characteristics relative to axillary disease. Materials and Methods: Single institution retrospective chart review of stage I-III breast cancer patients collected demographic and clinical/pathologic data from 1998–2019. Student’s t-test, Chi-squared test (or Fisher exact test if applicable), and logistic regression models were used for testing the association of pN+ to predictive variables. Results: Of 728 patients (mean age 59 yrs) with mean follow up of 50 months, 86% were estrogen receptor +, 10% Her2+, 78% ER+HER2−negative, and 10% triple-negative. In total, 351/728 (48.2%) were pN+ and mean tumor size was larger in pN+ cases compared to pN− cases (mean = 27.7 mm versus 15.5 mm) (p < 0.001). By univariate analysis, pN+ was associated with lymphovascular invasion (LVI), higher grade, Her2, and histology (p < 0.005). Tumor-to-nipple distance was shorter in pN+ compared to pN− (45 mm v. 62 mm; p< 0.001). Age < 60, LVI, recurrence, mastectomy, larger tumor size, and shorter tumor-nipple distance were associated with 3+ positive nodes (p < 0.05). Conclusions: Larger tumor size and shorter tumor-nipple distance were associated with higher lymph node positivity. Age less than 60, LVI, recurrence, mastectomy, larger tumor size, and shorter tumor-nipple distance were all associated with 3+ positive lymph nodes.

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Section: Discussionmentioning

confidence: 55%

Factors Predictive of Positive Lymph Nodes for Breast Cancer

Elleson,

Englander,

Gallagher

et al. 2023

Current Oncology

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“…However, this invasive approach often causes patient discomfort and its interpretation heavily relies on physician expertise. Therefore, it is imperative for clinicians to explore non-invasive and objective diagnostic methods in the detection of LVI [3].…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies have indicated that LVI is an important step in the invasion-metastasis cascade of BC, involves a complex molecular mechanism. In this process, invasive malignant cells invade the surrounding stroma, penetrate the vessel wall, and complete metastatic dissemination [3,4]. Therefore, the presence of LVI generally implies a high degree of malignancy in BC, which is closely related to reduced overall survival and poor prognosis [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

MRI-based Radiomics Signature for Screening Lymphovascular Invasion in Breast Cancer Patients

Zhang,

zhong,

liang

et al. 2024

Preprint

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Objective The early detection of lymphovascular invasion (LVI) is critical for the effective treatment of breast cancer (BC). This study aimed to investigate a non-invasive radiomics model based on MRI sequences for LVI screening in BC patients. Methods A total of 454 BC patients were enrolled in our study, with 150 in the LVI group and 304 in the non-LVI group. Radiomics features were extracted from MRI scans, including T2WI and DCE sequences, using LASSO analysis. Common machine learning algorithms (including LR, RF, KNN, SVM, GBDT, XGBoost, and LightGBM) were employed to construct radiomics signatures for assessing LVI status in BC patients. Results Eighteen radiomics features, 10 from DCE and 8 from T2WI, were retained to construct the radiomics signature. Among all the machine learning algorithms, the RF classifier model demonstrated superior performance in assessing the LVI status of BC patients, with an accuracy, sensitivity, and specificity of 63.32%, 74.47%, and 43.68%, respectively. The decision curve demonstrated significant clinical benefit of this model. Conclusion The radiomics-based RF model derived from MRI serves as a reliable indicator for identifying LVI status in BC, and holds great clinical utility for prompt intervention in invasive BC to improve the survival rate of BC patients.

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“…Lymphovascular (LVI) and perineural invasion, defined as the presence of tumor emboli within an endothelium-lined space, has been associated with worst outcomes and increased probability of distant metastases in breast cancer [30]. Tumor budding has been established as a predictor of lymphovascular invasion for colorectal cancer [31].…”

Section: Discussionmentioning

confidence: 99%

Prognostic Value of Tumor Budding for Early Breast Cancer

Silva,

Miranda,

Amaro

et al. 2023

Biomedicines

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Background: Tumor budding (TB) is a dynamic process associated with the epithelial–mesenchymal transition and a well-established prognostic biomarker for colorectal cancer. As part of the tumor microenvironment, tumor buds demonstrate increased cell motility and invasiveness. Current evidence demonstrates that high levels of TB correlate with disease progression and worst outcomes across different solid tumors. Our work aims to demonstrate the clinical applicability of TB analysis and its utility as a prognostic factor for patients with early breast cancer (EBC). Methods: Retrospective, single-center, observational study, enrolling patients with EBC diagnosed in a Portuguese hospital between 2014 and 2015. TB classification was performed according to the International Tumor Budding Conference 2016 guidelines. Results: A statistically significant relation was found between higher TB score and aggressive clinicopathological features (angiolymphatic/perineural invasion-p < 0.001; tumor size-p = 0.012; nuclear grading-p < 0.001; and Ki-67 index-p = 0.011), higher number of relapses (p < 0.001), and short disease-free survival (DFS) (p < 0.001). Conclusion: We demonstrate that high TB correlates with shorter DFS and aggressive clinicopathological features used in daily practice to decide on the benefit of chemotherapy for EBC. TB represents a needed prognostic biomarker for EBC, comprising a new factor to be considered in the adjuvant decision-making process by identifying patients at a high risk of relapse and with higher benefit on treatment intensification. Clinical trials incorporating TB are needed to validate its prognostic impact.

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Updates on Lymphovascular Invasion in Breast Cancer

Cited by 13 publications

References 93 publications

Factors Predictive of Positive Lymph Nodes for Breast Cancer

Factors Predictive of Positive Lymph Nodes for Breast Cancer

MRI-based Radiomics Signature for Screening Lymphovascular Invasion in Breast Cancer Patients

Prognostic Value of Tumor Budding for Early Breast Cancer

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