Pilot Study on MAGE-C2 as a Potential Biomarker for Triple-Negative Breast Cancer

Objective. In the current study, we measured the expression status of melanoma antigen gene c2 (MAGE-C2) in triple-negative breast cancer (TNBC) and analyzed its prognostic with the clinical pathological features of patients with TNBC. Methods. The expressions statuses of MAGE-C2 were detected in TNBC tissues and paracarcinoma tissues by immunohistochemistry, reverse transcription-polymerase chain reaction (RT-PCR), and western blotting. Then, we investigated the relationship of MAGE-C2 expression status and clinicopathological parameters of TNBC patients by the chi-squared test. Finally, we discussed the relations of MAGE-C2 expression state and prognosis of patients with TNBC by Kaplan-Meier method and Cox proportional hazards model. Results. High MAGE-C2 expression was found in 38.18% (42/110) of TNBC tissues. In adjacent tissues it was 9.09% (10/110). High MAGE-C2 expression in TNBC patients was closely associated with lymph node status, tumor node metastasis (TNM) stage, and lymphovascular invasion (P<0.001). TNBC patients with high MAGE-C2 expression had significantly shorter survival time than low expression patients. We also found that age, lymph node status, TNM stage, lymphovascular invasion, and MAGE-C2 expression status were closely associated with overall survival of TNBC patients (P<0.05). Conclusion. High MAGE-C2 expression may serve as an independent prognostic factor for TNBC patients.

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Abstract P3-01-07: Comparison of the prognostic value of lymph node ratio versus residual lymph node status in triple negative breast cancer

10.1158/1538-7445.sabcs17-p3-01-07 ◽

2018 ◽

Author(s):

G De la Cruz-Ku ◽

Z Morante ◽

J Pinto ◽

D Enriquez ◽

E Eyzaguirre ◽

...

Keyword(s):

Breast Cancer ◽

Lymph Node ◽

Triple Negative Breast Cancer ◽

Prognostic Value ◽

Lymph Node Ratio ◽

Triple Negative ◽

Lymph Node Status ◽

Node Status ◽

Node Ratio ◽

Ratio Versus

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Nomogram for Predicting Lymph Node Involvement in Triple-Negative Breast Cancer

Frontiers in Oncology ◽

10.3389/fonc.2020.608334 ◽

2020 ◽

Vol 10 ◽

Author(s):

Xiang Cui ◽

Hao Zhu ◽

Jisheng Huang

Keyword(s):

Breast Cancer ◽

Lymph Node ◽

Predictive Factors ◽

Operating Characteristic ◽

Triple Negative ◽

Lymph Node Status ◽

Multivariate Logistic Regression ◽

Receiver Operating Characteristic Curves ◽

Node Metastasis ◽

Node Status

BackgroundLymph node metastasis of triple-negative breast cancer (TNBC) is essential in treatment strategy formulation. This study aimed to build a nomogram that predicts lymph node metastasis in patients with TNBC.Materials and MethodsA total of 28,966 TNBC patients diagnosed from 2010 to 2017 in the Surveillance, Epidemiology and End Results (SEER) database were enrolled, and randomized 1:1 into the training and validation sets, respectively. Univariate and multivariate logistic regression analysis were applied to identify the predictive factors, which composed the nomogram. The receiver operating characteristic curves showed the efficacy of the nomogram.ResultMultivariate logistic regression analyses revealed that age, race, tumor size, tumor primary site, and pathological grade were independent predictive factors of lymph node status. Integrating these independent predictive factors, a nomogram was successfully developed for predicting lymph node status, and further validated in the validation set. The areas under the receiver operating characteristic curves of the nomogram in the training and validation sets were 0.684 and 0.689 respectively, showing a satisfactory performance.ConclusionWe constructed a nomogram to predict the lymph node status in TNBC patients. After further validation in additional large cohorts, the nomogram developed here would do better in predicting, providing more information for staging and treatment, and enabling tailored treatment in TNBC patients.

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Prognostic role of lymphovascular invasion and lymph node status among breast cancer subtypes

Journal of Medical Sciences ◽

10.4103/jmedsci.jmedsci_105_17 ◽

2018 ◽

Vol 38 (2) ◽

pp. 54 ◽

Cited By ~ 1

Author(s):

Jyh-Cherng Yu ◽

Guo-Shiou Liao ◽

Huan-Ming Hsu ◽

Chi-Hong Chu ◽

Zhi-Jie Hong ◽

...

Keyword(s):

Breast Cancer ◽

Lymph Node ◽

Lymphovascular Invasion ◽

Breast Cancer Subtypes ◽

Lymph Node Status ◽

Prognostic Role ◽

Cancer Subtypes ◽

Node Status

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Predict the benefit of metronomic capecitabine maintenance in early-stage triple-negative breast cancer: Results from the SYSUCC-001 study.

Journal of Clinical Oncology ◽

10.1200/jco.2021.39.15_suppl.521 ◽

2021 ◽

Vol 39 (15_suppl) ◽

pp. 521-521

Author(s):

Zhongyu Yuan ◽

Xin Hua ◽

Wang-Zhong Li ◽

Heng Huang ◽

Li Cai ◽

...

Keyword(s):

Breast Cancer ◽

Lymph Node ◽

Prediction Model ◽

Triple Negative Breast Cancer ◽

Lymphovascular Invasion ◽

Triple Negative ◽

Validation Cohort ◽

Early Stage ◽

Disease Free Survival ◽

Survival Prediction

521 Background: Recent clinical trials and meta-analysis have suggested the benefit of adding capecitabine to standard chemotherapy in early-stage triple negative breast cancer (TNBC). We aimed to develop an individualized prediction model to quantify the clinical benefit of metronomic capecitabine maintenance in TNBC. Methods: Patients from the SYSUCC-001 trial, randomized to standard treatment with or without metronomic capecitabine maintenance, were pooled. Candidate covariates included age, tumor size, lymph node, histological grade, Ki-67 percentage, lymphovascular invasion, chemotherapy regimen and capecitabine medication. The primary endpoint was disease-free survival (DFS). The nonlinear effect of continuous covariate was modelled by restricted cubic spline. We developed a survival prediction model using the Cox proportional hazards model. Results: A total of 434 patients were recruited (306 in development cohort and 128 in validation cohort). The estimated 5-year DFS in the development cohort and validation cohort were 77.8% (95% CI, 72.9-82.7%) and 78.2% (95% CI, 70.9-85.5%), respectively. Age and lymph node had significant nonlinear effects on DFS. Four covariates significantly associated with DFS in the final prediction model were age, lymph node, lymphovascular invasion and capecitabine medication. The model demonstrated suitable calibration and fair discrimination ability with a C-index of 0.722 (95% CI, 0.662-0.781) and 0.764 (95% CI, 0.668-0.859) in the development cohort and validation cohort, respectively. We design an easy-to-use online calculator based on the model, capable of predicting capecitabine maintenance benefit. Conclusions: The evidence-based prediction model could identify those patients who most warrant metronomic capecitabine maintenance and thus help treatment decision making in daily clinical practice. Clinical trial information: NCT01112826.

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Lymph node status combined with lymphovascular invasion creates a more powerful tool for predicting outcome in patients with invasive breast cancer

The American Journal of Surgery ◽

10.1016/s0002-9610(02)00950-9 ◽

2002 ◽

Vol 184 (4) ◽

pp. 337-340 ◽

Cited By ~ 53

Author(s):

Carol S Woo ◽

Howard Silberman ◽

Shelley K Nakamura ◽

Wei Ye ◽

Richard Sposto ◽

...

Keyword(s):

Breast Cancer ◽

Lymph Node ◽

Invasive Breast Cancer ◽

Lymphovascular Invasion ◽

Lymph Node Status ◽

Node Status ◽

Predicting Outcome

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Ki67 and P53 expression in breast cancer and their correlation with clinicopathological parameters

Indian Journal of Pathology and Oncology ◽

10.18231/j.ijpo.2021.099 ◽

2021 ◽

Vol 8 (4) ◽

pp. 478-484

Author(s):

Sukanya Gogoi ◽

Bandita Das ◽

Mondita Borgohain ◽

Gayatri Gogoi ◽

Jayanta Das

Keyword(s):

Breast Cancer ◽

Lymph Node ◽

Menopausal Status ◽

Clinicopathological Parameters ◽

Lymph Node Status ◽

P Value ◽

Axillary Lymph ◽

Ki 67 ◽

P53 Expression ◽

Node Status

Breast carcinoma is the most common malignancy in females and is a leading cause of death. Treatment depends upon various pathological and prognostic markers like lymph node status, size, type and grade of the tumour which influences the outcome of breast cancer. Markers like Ki-67 and p53 have been studied extensively and their roles in breast cancer are yet to be established.We evaluated the expression of Ki67 and P53 in breast cancer and their association with other clinico-pathological factors was studied. Ki67 and P53 expression was assessed in 60 breast cancer cases admitted to our hospital over a period of one year. Association with other prognostic parameters was evaluated. Statistical analysis was done by Chi square test and a p value of <0.05 was taken as significant. 43.33% cases had low proliferative Ki-67 score whereas 56.67% of the cases were highly proliferative. p53 expression was seen in 41.66% cases. Ki-67 and p53 expression were not significantly related to age, menopausal status, and tumour size whereas a significant correlation was seen with positive axillary lymph node status, high histological grade, negative hormone receptor status (ER, PR) and positive HER2/neu expression. Significant association was seen between Ki-67 and p53 expression.Ki67 and P53 may be considered as a valuable biomarker in breast cancer patients which can help in planning treatment strategies.

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