Predictive value of topoisomerase II alpha protein for clinicopathological characteristics and prognosis in early breast cancer.

Breast Cancer Res Treat

Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17, Panjiayuan Nanli, Chaoyang District, Beijing, 100021, China.

Published: June 2022

Purpose: Topoisomerase II alpha (TOP2A) has been identified as a proliferation marker, of which the most common method for detection is immunohistochemistry (IHC). However, the optimal cut-off of TOP2A expression regarding prognostic value remains controversial. This study was to identify the optimal cut-off value of TOP2A expression and its correlation with clinicopathological variables and prognosis in early stage breast cancer in China.

Methods: Between January 2013 and January 2015, a total of 1084 early breast cancer patients were enrolled. The optimal cut-off of TOP2A expression was assessed using the minimum P value approach. Correlations between TOP2A expression and clinicopathological characteristics were explored by the Spearman's correlation analysis, while the impact of TOP2A expression on disease-free survival (DFS) and overall survival (OS) was evaluated by the Kaplan-Meier methods. Univariate and multivariate Cox regression analyses were executed to identify statistically significant prognostic factors.

Results: The optimal cut-off value of TOP2A was recommended as 15%. Overall, 603 (55.6%) patients were TOP2A over-expression and 481 (44.4%) patients were TOP2A low expression. TOP2A over-expression was in positive associations with a higher Ki67 index (r = 0.83, P < 0.001), HER2 positive (r = 0.26, P < 0.001), a larger tumor size (r = 0.14, P < 0.001), and a higher histologic grade (r = 0.59, P < 0.001), and in a significantly negative correlation with hormone receptor (HR) positive expression (r =  - 0.40, P < 0.001) in early breast cancer. TOP2A over-expression significantly associated with worse DFS (P = 0.001) and OS (P < 0.001) and was an independent prognostic factor for both DFS (hazard ratio [HR] = 2.04; 95% confidence interval [95% CI] 1.30-3.18, P = 0.0018) and OS (HR = 3.54; 95%CI 1.53-8.23, P = 0.003) in stage I-II breast cancer patients.

Conclusion: To our knowledge, this is the first study to recommend the optimal cut-off value of TOP2A expression in breast cancer. The TOP2A expression is significantly correlated with HER2 status, Ki67 index, tumor size, histologic grade and HR status, and could be a surrogate indicator for poor prognosis of early breast cancer.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10549-022-06559-7DOI Listing

Publication Analysis

Top Keywords

top2a expression
20
optimal cut-off
16
cut-off top2a
16
breast cancer
12
top2a
10
topoisomerase alpha
8
clinicopathological characteristics
8
prognosis early
8
early breast
8
patients top2a
8

Similar Publications

Multiple Myeloma: Genetic and Epigenetic Biomarkers with Clinical Potential.

Int J Mol Sci

December 2024

Laboratory of Molecular Genetics, Department of the Structure and Function of Chromosomes, Institute of Molecular and Cellular Biology, Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia.

Multiple myeloma (MM) is characterized by the uncontrolled proliferation of monoclonal plasma cells and accounts for approximately 10% of all hematologic malignancies. The clinical outcomes of MM can exhibit considerable variability. Variability in both the genetic and epigenetic characteristics of MM undeniably contributes to tumor dynamics.

View Article and Find Full Text PDF

Background: Bioinformatics analysis of hepatocellular carcinoma (HCC) expression profiles can aid in understanding its molecular mechanisms and identifying new targets for diagnosis and treatment.

Aim: In this study, we analyzed expression profile datasets and miRNA expression profiles related to HCC from the GEO using R software to detect differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs).

Methods And Results: Common DEGs were identified, and a PPI network was constructed using the STRING database and Cytoscape software to identify hub genes.

View Article and Find Full Text PDF

Breast cancer is a leading cause of cancer-related deaths among women globally. It is imperative to explore novel biomarkers to predict breast cancer treatment response as well as progression. Here, we collected six breast cancer samples and paired normal tissues for high-throughput sequencing.

View Article and Find Full Text PDF

Prognostic model based on tumor stemness genes for triple-negative breast cancer.

Sci Rep

December 2024

Department of Pathology, The Second Xiangya Hospital, Central South University, Changsha, 410000, Hunan, China.

Triple-negative breast cancer (TNBC) is an aggressive disease with a poor prognosis and lack of effective treatment. In this study, TNBCs were analyzed from the perspective of tumor stemness based on scRNA-seq data. The analysis showed that tumor cells of TNBC were divided into 4 subtypes, with subtype 2 having the highest stemness score.

View Article and Find Full Text PDF

In clinical settings, glioma patients often develop secondary resistance to first-line chemotherapy drugs. Vincristine has been reported for its application in cancer chemotherapy, but its molecular mechanism of action remains unclear. This study aimed to identify potential targets of vincristine in glioma using network pharmacology and to experimentally validate the possible molecular mechanisms against glioma.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!