Topoisomerase IIα expression correlates with diminished disease-free survival in invasive breast cancer

Background: The aim of this study was to investigate the immunohistochemical expression of ribosomal protein (RP) S6-pS240 in non-special type invasive breast cancer in relation to other prognostic markers and gain new insights to facilitate more individualized treatment. Methods: The following clinical and histopathological parameters of 120 patients were determined: S6-pS240 expression, age, menopausal status, tumor size and grade, TNM stage, Nottingham Prognostic Index (NPI), lymph node stage, estrogen and progesterone receptor (ER/PR) expression, HER2/neu amplification, lymphovascular invasion, and proliferative index as measured by Ki-67. Treatment protocol and disease-free survival were evaluated accordingly. Results: Significant positive correlations were seen between S6-pS240 expression and Ki-67 values (rho = 0.530, p < 0.001), and NPI (rho = 0.370, p < 0.001) and HER2/neu amplification (rho = 0.368, p < 0.001). A negative correlation was found between S6-pS240 and ER/PR expression (rho = 0.362, p < 0.001). Patients with negative RP S6-pS240 expression had significantly longer disease-free survival (log-rank test, p = 0.005). Conclusion: Immunohistochemical analysis of RP S6-pS240 is a valuable additional prognostic marker in patients with invasive breast cancer. Routine use of S6-pS240 immunohistochemistry is recommended.

Download Full-text

130P Deep learning magnetic resonance imaging radiomics for predicting disease-free survival in patients with early-stage invasive breast cancer

Annals of Oncology ◽

10.1016/j.annonc.2021.08.411 ◽

2021 ◽

Vol 32 ◽

pp. S415

Author(s):

Z. He ◽

Y. Yu ◽

W. Ren ◽

L. Mao ◽

Y. Tan ◽

...

Keyword(s):

Breast Cancer ◽

Magnetic Resonance Imaging ◽

Deep Learning ◽

Magnetic Resonance ◽

Invasive Breast Cancer ◽

Early Stage ◽

Disease Free Survival ◽

Resonance Imaging ◽

Free Survival ◽

Disease Free

Download Full-text

High Expression of Obesity-Linked Phosphatase SHIP2 in Invasive Breast Cancer Correlates with Reduced Disease-Free Survival

Tumor Biology ◽

10.1159/000172970 ◽

2008 ◽

Vol 29 (5) ◽

pp. 330-341 ◽

Cited By ~ 28

Author(s):

Nagendra K. Prasad ◽

Manish Tandon ◽

Anant Handa ◽

George E. Moore ◽

Charles F. Babbs ◽

...

Keyword(s):

Breast Cancer ◽

Invasive Breast Cancer ◽

Disease Free Survival ◽

High Expression ◽

Free Survival ◽

Disease Free

Download Full-text

Clinicopathological significance of Sox10 expression in triple-negative breast carcinoma

10.21203/rs.3.rs-19944/v1 ◽

2020 ◽

Author(s):

Linfang Jin ◽

Chenglin Qin ◽

Xiaowei Qi ◽

Tingting Hong ◽

Xiaodong Yang ◽

...

Keyword(s):

Breast Cancer ◽

Metastatic Breast Cancer ◽

Invasive Breast Cancer ◽

Triple Negative ◽

Disease Free Survival ◽

Metastatic Breast ◽

Free Survival ◽

Primary Invasive Breast Cancer ◽

Sox10 Expression ◽

Disease Free

Abstract Purpose The present study aimed to investigate the Sox10 expression in the pathological diagnosis of triple-negative breast cancer (TNBC). Furthermore, its correlation with the clinicopathological characteristics and disease-free survival rate in patients with TNBC was also evaluated to identify the diagnostic utility of Sox10 as a reliable biomarker for diagnosis and prognosis of TNBC. Methods Using immunohistochemistry, we identified the expression of Sox10, GATA-3, FOXA1, GCDFP15 and MGB in 376 cases of primary invasive breast cancer, and 77 cases of metastatic breast cancer. The expression of Sox10 in different molecular subtypes of primary invasive breast cancer and metastatic breast cancer were also compared. Furthermore, the correlation between Sox10 expression and clinicopathological parameters and disease-free survival (DFS) of patients with primary TNBC were also analyzed. Results Expression of Sox10 was only detected in the myoepithelial cells of normal breast, but not in any other types of cells, including luminal cell and fibroblasts. The positive rate of Sox10 in primary and metastatic TNBC was significantly higher than that in the other two types (P < 0.001, P < 0.001, respectively). The sensitivity and specificity of Sox10 expression in primary TNBC and metastatic TNBC were significantly lower than GATA-3, significantly higher than FOXA1, GCDFP15, and MGB (P < 0.001, P = 0.0004, P = 0.0064, P = 0.0229, respectively). In 71 cases of primary TNBC, a higher expression rate of Sox10 was significantly associated with high-grade tumors, late-stage tumors, and tumors with involvement of four or more lymph node metastases (P = 0.0145, P = 0.0105, P = 0.0249, respectively). Conclusion Sox10 may be used as a novel reliable putative marker for the diagnosis of TNBC. Notably, Sox10 combined with GATA-3 expression may serve as a supplementary differential diagnostic biomarker for primary and metastatic TNBC. Besides, Sox10 may be a good predictor of the prognosis of primary and metastatic TNBC. This study also highlights the significance of targeting Sox10 as a promising potential therapeutic target gene for TNBC therapy.

Download Full-text

Computer-aided Diagnosis–generated Kinetic Features of Breast Cancer at Preoperative MR Imaging: Association with Disease-free Survival of Patients with Primary Operable Invasive Breast Cancer

Radiology ◽

10.1148/radiol.2017162079 ◽

2017 ◽

Vol 284 (1) ◽

pp. 45-54 ◽

Cited By ~ 22

Author(s):

Jin Joo Kim ◽

Jin You Kim ◽

Hyun Jung Kang ◽

Jong Ki Shin ◽

Taewoo Kang ◽

...

Keyword(s):

Breast Cancer ◽

Mr Imaging ◽

Invasive Breast Cancer ◽

Disease Free Survival ◽

Computer Aided Diagnosis ◽

Free Survival ◽

Computer Aided ◽

Aided Diagnosis ◽

Disease Free ◽

Kinetic Features

Download Full-text

Ultrasound-Based Radiomics Analysis for Predicting Disease-Free Survival of Invasive Breast Cancer

Frontiers in Oncology ◽

10.3389/fonc.2021.621993 ◽

2021 ◽

Vol 11 ◽

Author(s):

Lang Xiong ◽

Haolin Chen ◽

Xiaofeng Tang ◽

Biyun Chen ◽

Xinhua Jiang ◽

...

Keyword(s):

Breast Cancer ◽

Invasive Breast Cancer ◽

Cox Regression ◽

Validation Cohort ◽

Disease Free Survival ◽

Free Survival ◽

Net Reclassification Improvement ◽

Additional Value ◽

Disease Free ◽

Radiomics Signature

BackgroundAccurate prediction of recurrence is crucial for personalized treatment in breast cancer, and whether the radiomics features of ultrasound (US) could be used to predict recurrence of breast cancer is still uncertain. Here, we developed a radiomics signature based on preoperative US to predict disease-free survival (DFS) in patients with invasive breast cancer and assess its additional value to the clinicopathological predictors for individualized DFS prediction.MethodsWe identified 620 patients with invasive breast cancer and randomly divided them into the training (n = 372) and validation (n = 248) cohorts. A radiomics signature was constructed using least absolute shrinkage and selection operator (LASSO) Cox regression in the training cohort and validated in the validation cohort. Univariate and multivariate Cox proportional hazards model and Kaplan–Meier survival analysis were used to determine the association of the radiomics signature and clinicopathological variables with DFS. To evaluate the additional value of the radiomics signature for DFS prediction, a radiomics nomogram combining the radiomics signature and clinicopathological predictors was constructed and assessed in terms of discrimination, calibration, reclassification, and clinical usefulness.ResultsThe radiomics signature was significantly associated with DFS, independent of the clinicopathological predictors. The radiomics nomogram performed better than the clinicopathological nomogram (C-index, 0.796 vs. 0.761) and provided better calibration and positive net reclassification improvement (0.147, P = 0.035) in the validation cohort. Decision curve analysis also demonstrated that the radiomics nomogram was clinically useful.ConclusionUS radiomics signature is a potential imaging biomarker for risk stratification of DFS in invasive breast cancer, and US-based radiomics nomogram improved accuracy of DFS prediction.

Download Full-text

Interleukin-13 receptor alpha 2 expression in tumor cells is associated with reduced disease-free survival in patients with luminal subtype invasive breast cancer

Tumor Biology ◽

10.1177/1010428318783657 ◽

2018 ◽

Vol 40 (6) ◽

pp. 101042831878365 ◽

Cited By ~ 3

Author(s):

Hee Jung Kwon ◽

Jung Eun Choi ◽

Young Kyung Bae

Keyword(s):

Breast Cancer ◽

Invasive Breast Cancer ◽

Disease Free Survival ◽

Luminal Breast Cancer ◽

Breast Cancer Patients ◽

Free Survival ◽

Receptor Alpha ◽

Interleukin 13 ◽

Clinicopathological Variables ◽

Disease Free

Interleukin-13 receptor alpha 2 is one of the subunits of transmembrane receptor for interleukin-13. The aim of this study was to investigate the prognostic value of interleukin-13 receptor alpha 2 expression in invasive breast cancer. Interleukin-13 receptor alpha 2 expressions were assessed by immunohistochemistry in tissue microarrays of 1283 invasive breast cancer samples, and associations between these expressions and clinicopathological variables and clinical outcomes were investigated. Interleukin-13 receptor alpha 2 expression was observed in 138 (10.8%) samples, and found to be associated with positive estrogen receptor (p < 0.001) and progesterone receptor (p < 0.001) and with the luminal subtype (p < 0.001). No significant association was found between interleukin-13 receptor alpha 2 expression and other clinicopathological variables including age, tumor size, lymph node metastasis, histologic types, histologic grade, HER2 status, Ki-67 labeling index, or tumor-infiltrating lymphocytes levels. Patients with interleukin-13 receptor alpha 2 expression tended to have poorer disease-free survival, but the difference was not statistically significant (p = 0.069). Subgroup analysis showed luminal breast cancer patients positive for interleukin-13 receptor alpha 2 expression had significantly poorer disease-free survival (p = 0.018) than luminal breast cancer patients negative for interleukin-13 receptor alpha 2 expression. However, no association between interleukin-13 receptor alpha 2 expression and clinical outcome was observed in HER2-positive and triple-negative subgroups (p = 0.574 and p = 0.936, respectively). Multivariate analysis showed interleukin-13 receptor alpha 2 expression was an independent poor prognostic factor for luminal breast cancer (p = 0.03). This study shows interleukin-13 receptor alpha 2 expression could be a useful prognostic marker for selecting patients with luminal breast cancer likely to follow a clinically aggressive course despite receiving systemic therapy.

Download Full-text