RESUMO
The overexpressed in lung cancer 1 (OLC1) has been demonstrated to be associated with numerous biological and pathological processes. However, the role of OLC1 in breast cancer has not been thoroughly elucidated. The purpose of this study was to assess OLC1 expression and to explore its contribution to the breast cancer. Real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR) was conducted to detect OLC1 messenger RNA (mRNA) expression in 45 pairs of fresh-frozen breast cancer tissues and corresponding noncancerous tissues. Immunohistochemistry was performed to detect the expression of OLC1 in 145 breast cancer tissues. The relationship between the expression of OLC1 and clinicopathological characteristics and prognosis was statistically analyzed. We found that the expression levels of OLC1 mRNA and protein in breast cancer tissues were significantly higher than those in adjacent noncancerous tissues (P < 0.001). In addition, OLC1 expression was significantly correlated with tumor size (P = 0.034), grade (P = 0.015), stage (P < 0.001), and lymph node metastases (P = 0.028). Kaplan-Meier survival analysis showed that a high expression level of OLC1 resulted in a significantly poor prognosis of breast cancer patients. Further, Cox multivariate analysis indicated that OLC1 expression level was an independent prognostic factor for the overall survival rate of breast cancer patients. These findings provide evidence that a high expression level of OLC1 serves as a biomarker for poor prognosis for breast cancer. Thus, we speculate that OLC1 may be a potential target of antiangiogenic therapy for breast cancer.
Assuntos
Neoplasias da Mama/genética , Mama/metabolismo , Regulação Neoplásica da Expressão Gênica , Proteínas Oncogênicas/genética , Biomarcadores Tumorais/genética , Biomarcadores Tumorais/metabolismo , Mama/patologia , Neoplasias da Mama/metabolismo , Neoplasias da Mama/patologia , Feminino , Humanos , Imuno-Histoquímica/estatística & dados numéricos , Estimativa de Kaplan-Meier , Metástase Linfática , Pessoa de Meia-Idade , Análise Multivariada , Gradação de Tumores , Estadiamento de Neoplasias , Proteínas Oncogênicas/metabolismo , Prognóstico , Modelos de Riscos Proporcionais , Reação em Cadeia da Polimerase Via Transcriptase ReversaRESUMO
Early and correct diagnosis of Parkinson's disease (PD) is critical for patient counseling and therapeutic management. The diagnostic accuracy of transcranial sonography of substantia nigra (SN-TCS) for early stage PD patients remains controversial. Dopamine transporter (DAT) imaging is sensitive to detect presynaptic dopamine neuronal dysfunction, and has been studied as a diagnostic tool for degenerative Parkinsonism. To investigate the predictive value of SN-TCS for the DAT PET scans in clinically diagnosed early stage PD patients, we performed the SN-TCS and DAT Positron Emission Computed Tomography (PET) imaging examinations on 53 patients. Using the DAT PET results as clinical gold standard, the sensitivity and specificity of TCS was 68.75% and 40% respectively. The positive predictive value (PPV) of an abnormal TCS for an abnormal PET scan was 91.67%. However, the negative predictive value (NPV) for a normal PET scan was only 11.76%. The false negative rate was 31.25%. In 35 patients, the result of the SN-TCD was in accordance with the result of the DAT PET scan (Kappa=0.042, P>0.05). The consistency between SN-TCS and PET scans was poor. We conclude that SN-TCS would not be used as a diagnostic tool for early stage PD patients. Negative result of TCS could not exclude the diagnosis of PD. Further tests like DAT-PET is needed for validation. On the other hand, positive SN-TCS will reduce the added diagnostic value of a presynaptic neuronimaging scan.