Transgelin-2 expression in breast cancer and its relationships with clinicopathological features and patient outcome

• Published in: Breast cancer (Tokyo, Japan) Japan), 2019-11, Vol.26 (6), p.776-783
• Main Authors: Hao, Ruifang, Liu, Yang, Du, Qian, Liu, Leichao, Chen, Siying, You, Haisheng, Dong, Yalin
• Format: Article
• Language: English
• Subjects: Analysis; Binding proteins; Breast cancer; Breast Neoplasms - metabolism; Breast Neoplasms - mortality; Breast Neoplasms - pathology; Cancer; Cancer patients; Cancer Research; Carcinogenesis - genetics; Databases, Genetic; Development and progression; Female; Follow-Up Studies; Gene Expression; Genetic aspects; Genomes; Genomics; Humans; Kaplan-Meier Estimate; Ki-67 Antigen - metabolism; Logistic Models; Medicine; Medicine & Public Health; Microfilament Proteins - genetics; Microfilament Proteins - metabolism; Middle Aged; Muscle proteins; Muscle Proteins - genetics; Muscle Proteins - metabolism; Oncology; Original Article; Patient Outcome Assessment; Patient outcomes; Progesterone; Prognosis; Protein binding; Receptor, ErbB-2 - metabolism; Receptors, Estrogen - metabolism; Receptors, Progesterone - metabolism; RNA; RNA, Messenger - genetics; ROC Curve; Surgery; Surgical Oncology; Survival Rate
• ISSN: 1340-6868; 1880-4233
• DOI: 10.1007/s12282-019-00981-4

Background Transgelin-2 is an actin-binding protein that is widely expressed in various tissues and organs of the body, and reportedly may participate in the development and progression of multiple cancers. However, the clinical significance of transgelin-2 still remains controversial. We, therefore, aimed to determine the expression of transgelin-2 in breast cancer as well as its correlation with the tumorigenesis, progression and prognosis of human breast cancer. Methods We collected tissues of 58 breast cancer patients from our hospital and 1090 samples from The Cancer Genome Atlas (TCGA) database. X-tile software was used to divide the transgelin - 2 mRNA expression level in the database, logistic regression model was used to identify independent factors influencing transgelin - 2 mRNA expression, and then Cox regression and Kaplan–Meier analysis were used to find factors that influence survival of breast cancer. Results Transgelin-2 was significantly overexpressed in breast cancer tissues from our hospital and receiver operating characteristic (ROC) curve indicated that transgelin-2 may have diagnostic value. Meanwhile, estrogen receptor (ER) was in inverse correlation with transgelin-2 protein and mRNA expression, and transgelin-2 expression was positively correlated with Ki67 in breast cancer tissues. Logistic regression model revealed that TNM stage, ER and progesterone receptor (PR) status were independent factors for transgelin - 2 mRNA expression. Patients with high transgelin-2 mRNA expression showed a poor survival and the trend was statistically significant only in ER-negative patients. Conclusions Transgelin-2 was expressed significantly higher in breast cancer cells and correlated with some clinicopathological factors. High transgelin-2 expression might predict poor prognosis for ER-negative patients.