1
|
Macarrón V, Losantos-García I, Peláez-García A, Yébenes L, Berjón A, Frías L, Martí C, Zamora P, Sánchez-Méndez JI, Hardisson D. A Novel Nomogram for Estimating a High-Risk Result in the EndoPredict ® Test for Estrogen Receptor-Positive/Human Epidermal Growth Factor Receptor 2 (HER2)-Negative Breast Carcinoma. Cancers (Basel) 2025; 17:273. [PMID: 39858055 PMCID: PMC11763868 DOI: 10.3390/cancers17020273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2024] [Revised: 01/10/2025] [Accepted: 01/14/2025] [Indexed: 01/27/2025] Open
Abstract
Background/Objectives: The EndoPredict® assay has been widely used in recent years to estimate the risk of distant recurrence and the absolute chemotherapy benefit for patients with estrogen (ER)-positive/human epidermal growth factor receptor 2 (HER2)-negative breast cancer. However, there are no well-defined criteria for selecting patients who may benefit from the test. The aim of this study was to develop a novel nomogram to estimate the probability of obtaining a high-risk EndoPredict® result in clinical practice. Methods: The study cohort comprised 348 cases of T1-3/N0-1a/M0 ER-positive/HER2-negative breast carcinoma. A multivariate analysis was conducted using a training cohort (n = 270) based on clinicopathological features that demonstrated a statistically significant correlation with the EndoPredict® result in a univariate analysis. The predictive model was subsequently represented as a nomogram to estimate the probability of obtaining a high-risk result in the EndoPredict® assay. The predictive model was then validated using a separate validation cohort (n = 78). Results: The clinicopathological features incorporated into the nomogram included tumor size, tumor grade, sentinel lymph node status, pN stage, and Ki67. The internal validation of the model yielded an area under the curve (AUC) of 0.803 (95% CI = 0.751, 0.855) in the receiver operating characteristic (ROC) curve for the training cohort, with an optimal sensitivity and specificity at a threshold of 0.536. The external validation yielded an AUC of 0.789 (95% CI = 0.689, 0.890) in its ROC curve, with optimal sensitivity and specificity achieved at a threshold of 0.393. Conclusions: This study presents, for the first time, the development of a clinically accessible nomogram designed to estimate the probability of obtaining a high-risk result in the EndoPredict® assay. The use of easily available clinicopathological features allows for the optimization of patient selection for the EndoPredict® assay, ensuring that those who would most benefit from undergoing the test are identified.
Collapse
Affiliation(s)
- Víctor Macarrón
- Department of Pathology, Hospital Universitario La Paz, 28046 Madrid, Spain; (V.M.); (L.Y.); (A.B.)
| | | | - Alberto Peláez-García
- Molecular Pathology and Therapeutic Targets Group, La Paz University Hospital (IdiPAZ), 28046 Madrid, Spain;
| | - Laura Yébenes
- Department of Pathology, Hospital Universitario La Paz, 28046 Madrid, Spain; (V.M.); (L.Y.); (A.B.)
- Molecular Pathology and Therapeutic Targets Group, La Paz University Hospital (IdiPAZ), 28046 Madrid, Spain;
| | - Alberto Berjón
- Department of Pathology, Hospital Universitario La Paz, 28046 Madrid, Spain; (V.M.); (L.Y.); (A.B.)
- Molecular Pathology and Therapeutic Targets Group, La Paz University Hospital (IdiPAZ), 28046 Madrid, Spain;
| | - Laura Frías
- Breast Unit, Department of Gynecology and Obstetrics, Hospital Universitario La Paz, 28046 Madrid, Spain; (L.F.); (C.M.)
| | - Covadonga Martí
- Breast Unit, Department of Gynecology and Obstetrics, Hospital Universitario La Paz, 28046 Madrid, Spain; (L.F.); (C.M.)
| | - Pilar Zamora
- Department of Medical Oncology, Hospital Universitario La Paz, 28046 Madrid, Spain;
| | - José Ignacio Sánchez-Méndez
- Molecular Pathology and Therapeutic Targets Group, La Paz University Hospital (IdiPAZ), 28046 Madrid, Spain;
- Breast Unit, Department of Gynecology and Obstetrics, Hospital Universitario La Paz, 28046 Madrid, Spain; (L.F.); (C.M.)
- Faculty of Medicine, Universidad Autónoma de Madrid, 28029 Madrid, Spain
| | - David Hardisson
- Department of Pathology, Hospital Universitario La Paz, 28046 Madrid, Spain; (V.M.); (L.Y.); (A.B.)
- Molecular Pathology and Therapeutic Targets Group, La Paz University Hospital (IdiPAZ), 28046 Madrid, Spain;
- Faculty of Medicine, Universidad Autónoma de Madrid, 28029 Madrid, Spain
- Center for Biomedical Research in the Cancer Network (Centro de Investigación Biomédica en Red de Cáncer, CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
| |
Collapse
|
2
|
Xu Y, Wu H, Zhang W, Shen Y, Jiang Y, Meng L. Comparing single or dual tracing modality on sentinel lymph node biopsy from patients who plan to omitting axillary lymph node dissection referring to the criteria of Z0011 trial: a retrospective study. Updates Surg 2022; 74:1073-1078. [PMID: 35389176 DOI: 10.1007/s13304-022-01285-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 03/25/2022] [Indexed: 11/29/2022]
Abstract
Axillary lymph node dissection (ALND) can be omitted in the part of the breast-conserving patients with positive sentinel lymph nodes (SLNs) since Z0011 trial has presented. Nevertheless, to date, no studies revealed the influence of different tracing modalities (single tracer versus dual tracers) for sentinel lymph node biopsy (SLNB) on axillary management referring to Z0011 trial criteria. This study aimed to assess whether different tracing modalities of SLNB have impact on axillary management referring to Z0011 trial criteria. The clinical data of breast-conserving patients who underwent SLNB guided by combination of methylene blue (MB) and indocyanine green(ICG) were retrospectively analyzed in our center. The numbers of metastatic (positive) SLNs guided by the single tracer and the dual tracer were compared by self-control study. 127 patients with 1-2 metastatic SLNs dyed by MB [(recorded as MB(+))]were retrieved from our database between 2016 and 2020. In these cases, 53 patients contained 86 SLNs, which were ICG staining but MB negative staining (recorded as ICG(+)/MB(-)). In addition, 16 patients contained 20 metastatic SLNs with ICG(+)/MB(-). There were six patients finally excluded patients (6/127, 4.7%) who initially met the criteria of Z0011 trial, because the further detection of ICG(+)/MB(-) SLNs led the total numbers of positive SLNs over two. The difference was statistically significant. Single tracing modality may underestimate the positive SLN numbers compared to dual tracing modality. Different tracing modalities of SLNB will significantly affect Axillary management referring to Z0011 trial criteria.
Collapse
Affiliation(s)
- Yingchun Xu
- Department of Breast and Thyroid Surgery, Shaoxing People's Hospital (The First Affiliated Hospital of Shaoxing University), No.568 Zhongxing North Road, Yuecheng District, Shaoxing, 312000, Zhejiang, People's Republic of China
| | - Hanjin Wu
- Department of Breast and Thyroid Surgery, Shaoxing People's Hospital (The First Affiliated Hospital of Shaoxing University), No.568 Zhongxing North Road, Yuecheng District, Shaoxing, 312000, Zhejiang, People's Republic of China
| | - Wei Zhang
- Department of Breast and Thyroid Surgery, Shaoxing People's Hospital (The First Affiliated Hospital of Shaoxing University), No.568 Zhongxing North Road, Yuecheng District, Shaoxing, 312000, Zhejiang, People's Republic of China
| | - Yupeng Shen
- Department of Breast and Thyroid Surgery, Shaoxing People's Hospital (The First Affiliated Hospital of Shaoxing University), No.568 Zhongxing North Road, Yuecheng District, Shaoxing, 312000, Zhejiang, People's Republic of China
| | - Yujie Jiang
- Department of Breast and Thyroid Surgery, Shaoxing People's Hospital (The First Affiliated Hospital of Shaoxing University), No.568 Zhongxing North Road, Yuecheng District, Shaoxing, 312000, Zhejiang, People's Republic of China
| | - Liwei Meng
- Department of Breast and Thyroid Surgery, Shaoxing People's Hospital (The First Affiliated Hospital of Shaoxing University), No.568 Zhongxing North Road, Yuecheng District, Shaoxing, 312000, Zhejiang, People's Republic of China.
| |
Collapse
|