scholarly journals 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 ◽  
2017 ◽  
Vol 284 (1) ◽  
pp. 45-54 ◽  
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

scholarly journals Relationship between Ribosomal Protein S6-pS240 Expression and other Prognostic Factors in Non-Special Type Invasive Breast Cancer

Breast Care ◽  
2018 ◽  
Vol 14 (3) ◽  
pp. 171-175
Author(s):  
Frederik Cuperjani ◽  
Lumturije Gashi ◽  
Fisnik Kurshumliu ◽  
Shemsedin Dreshaj ◽  
Fitim Selimi
Keyword(s):  
Breast Cancer ◽  
Ribosomal Protein ◽  
Invasive Breast Cancer ◽  
Menopausal Status ◽  
Treatment Protocol ◽  
Prognostic Index ◽  
Disease Free Survival ◽  
Ki 67 ◽  
Free Survival ◽  
Disease Free

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.

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

Tumor Biology ◽  
2008 ◽  
Vol 29 (5) ◽  
pp. 330-341 ◽  
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

Clinicopathological significance of Sox10 expression in triple-negative breast carcinoma

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.

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

2006 ◽  
Vol 65 (5) ◽  
pp. 1411-1415 ◽  
Author(s):  
John K. O’Connor ◽  
Lisa J. Hazard ◽  
James M. Avent ◽  
R. Jeffrey Lee ◽  
Jennifer Fischbach ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Invasive Breast Cancer ◽  
Disease Free Survival ◽  
Topoisomerase Iiα ◽  
Free Survival ◽  
Disease Free

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

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.

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