Determination of Serum Angiopioetin-2 levels in Breast cancer patients at Damascus University Hospitals

Author(s):  
Majd Haidar ◽  
Jumana Al Saleh

Background: Breast cancer has increased universally. Angiogenesis is an essential step for cancer growth, progression and metastasis. Recent studies have focused on Angiopoietin-2 as a promising biomarker in prospecting the prognosis of the cancer. Objective: Determine the relation between serum concentrations of Angiopoietin-2 and clinicopathological data in breast cancer patients. Methodology: This study is prospective, cohort type. It includes 30 women with breast cancer, who met the study criteria. The serum Ang-2 value was calibrated using ELISA technique. The data was processed using SPSS program. Results: Ang-2 serum levels were statistically significant associated with ER status (P = 0.036). However, no signifi¬cant correlation was observed between serum Ang-2 level and the other clinicopathologic param¬eters tested, including Histological type (P = 0.417), Clinical grade G (P = 0.91), Clinical stage T (P = 0.913), Clinical stage N (P = 0.086), PR status (P = 0.467), and HER-2 status (P = 0.791). Serum levels of Ang-2 for breast cancer patients was significantly higher than healthy control (20411.33± 6283.19 vs 1731.70± 368.35 pg/ml, P< 0.000). our data indicates that serum levels of Ang-2 has no correlation between the tumor grade and stage in breast cancer patients.

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Abeer I Abd Elmagid ◽  
Hala Abdel Al ◽  
Wessam El Sayed Saad ◽  
Seham Kamal Mohamed

Abstract Background Breast cancer is the most common cancer among women and one of the most important causes of death among them.Angiogenesis is an important step for primary tumor growth, invasiveness, and metastases. Angiopoietins are well-recognized endothelial growth factors that are involved in angiogenesis associated with tumors. Aim To explore the diagnostic significance of serum angiopoietin-2 (Ang-2) in breast cancer and to evaluate its prognostic efficacy through studying the degree of its association with the TNM staging of the disease. Patients and Methods This study was conducted on (35) Egyptian female patients who were diagnosed as breast cancer according to histopathological examination of breast biopsy (Group 1, Breast Cancer Patients) and (25) female patients with benign breast diseases (Group II, Pathological Control Patients), in addition to (20) age - matched apparently healthy, free mammogram, females serving as healthy controls (Group III, Healthy Controls). For all participants, measurement of serum Ang-2 was done using enzyme linked immunosorbent assay (ELISA) technique. Results A highly significant increased levels of Ang-2 was observed in breast cancer patients when compared to healthy control group (Z = 4.95, p &lt; 0.01). However, no significant difference was observed in Ang-2 levels between breast cancer patients group and pathological control group (Z = 3.37, p &gt; 0.05). No significant difference was detected in Ang-2 levels in relation to TNM stage and histological grade. No significant correlation was found between Ang-2 levels and serum levels of CA15-3, hormone receptors, HER2/new receptor status (p &gt; 0.05, respectively). Conclusion This study revealed that Ang-2 serum levels were significantly increased in patient with breast cancer compared with healthy controls, indicating that high Ang-2 level is a promising non invasive biomarker for breast cancer diagnosis. However, no significant difference of Ang-2 levels was detected in relation of breast TNM staging in the population studied.


2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 34s-34s ◽  
Author(s):  
A.J. Usoro ◽  
A.E. Udoh ◽  
C.A.O. Usoro ◽  
E.B. Etuk ◽  
A.S. Obot

Background: Breast cancer is a major health concern worldwide and a leading cause of cancer deaths among women. Successful treatment of this disease lies in early diagnosis. The need for an easier method of diagnosis using serum markers prompted this study. Aim: To estimate the serum levels of mammaglobin-A, carcinoembryonic antigen (CEA), free PSA, 17β-estradiol and prolactin of 130 subjects consisting of 80 breast cancer patients and 50 age-matched controls and evaluate their usefulness as markers of breast cancer. Methods: The samples were estimated using ELISA methods. The breast cancer patients were patients attending the surgery clinic of the University of Uyo Teaching Hospital and the controls were recruited from the city of Uyo. Results: There were significant elevations in the serum levels of mammaglobin ( P < 0.001), prolactin ( P < 0.001), CEA ( P = 0.002) and estradiol ( P = 0.005) in patients when compared with the controls. There was no significant differences ( P = 0.25) in the free PSA levels of patients and controls. Correlation analysis showed that, there were significant positive correlations between prolactin and CEA (r = 0.47, P < 0.001), prolactin and free PSA (r = 0.24, P = 0.03), CEA and free PSA (r = 0.55, P < 0.001). The differences in the BMI ( P < 0.001) and age at menarche ( P = 0.001) were significantly higher in the cancer patients than the controls, while those of age ( P = 0.06) and age at menopause ( P = 0.26) were not significant. Patients with breast lump, breast pains, nipple discharge and excessive alcohol consumption showed significant association with breast cancer status. The categorical risk factors showed no significant association with the biochemical markers levels. The elevation in prolactin levels was significantly higher ( P < 0.001) in clinical stage II breast cancer when compared with stages III and IV. The differences in the prolactin levels of the other biomarkers were not significant. The Receiver Operating Characteristic curve showed that mammaglobin has an 87.5% predictive ability to correctly diagnose breast cancer. The other biomarkers showed poor predictive ability. The ROC curve showed that the predictive ability of MAG-A may be enhanced when measured alongside other biomarkers and risk factors. The observed differences in the elevated levels of MAG-A among the cancer stages were not significant. Though the levels of the other biomarkers are raised, they may not be used independently as diagnostic markers for breast cancer diagnosis due to their low sensitivity and poor predictive ability. Patients with family history of breast cancer had significantly higher CEA level than patients without such history. Conclusion: Mammaglobin has a high sensitivity and predictive ability to correctly diagnose breast cancer. Prolactin level is significantly raised in clinical stage II of breast cancer. Studies should focus on standardizing mammaglobin measurement for its use as marker for diagnosis of breast cancer.


MicroRNA ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 58-63
Author(s):  
Batool Savari ◽  
Sohrab Boozarpour ◽  
Maryam Tahmasebi-Birgani ◽  
Hossein Sabouri ◽  
Seyed Mohammad Hosseini

Background: Breast cancer is the most common cancer diagnosed in women worldwide. So it seems that there's a good chance of recovery if it's detected in its early stages even before the appearances of symptoms. Recent studies have shown that miRNAs play an important role during cancer progression. These transcripts can be tracked in liquid samples to reveal if cancer exists, for earlier treatment. MicroRNA-21 (miR-21) has been shown to be a key regulator of carcinogenesis, and breast tumor is no exception. Objective: The present study was aimed to track the miR-21 expression level in serum of the breast cancer patients in comparison with that of normal counterparts. Methods: Comparative real-time polymerase chain reaction was applied to determine the levels of expression of miR-21 in the serum samples of 57 participants from which, 42 were the patients with breast cancer including pre-surgery patients (n = 30) and post-surgery patients (n = 12), and the others were the healthy controls (n = 15). Results: MiR-21 was significantly over expressed in the serum of breast cancer patients as compared with healthy controls (P = 0.002). A significant decrease was also observed following tumor resection (P < 0.0001). Moreover, it was found that miR-21 overexpression level was significantly associated with tumor grade (P = 0.004). Conclusion: These findings suggest that miR-21 has the potential to be used as a novel breast cancer biomarker for early detection and prognosis, although further experiments are needed.


Biomolecules ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 301
Author(s):  
Amal Ahmed Abd El-Fattah ◽  
Nermin Abdel Hamid Sadik ◽  
Olfat Gamil Shaker ◽  
Amal Mohamed Kamal ◽  
Nancy Nabil Shahin

Long non-coding RNAs play an important role in tumor growth, angiogenesis, and metastasis in several types of cancer. However, the clinical significance of using lncRNAs as biomarkers for breast cancer diagnosis and prognosis is still poorly investigated. In this study, we analyzed the serum expression levels of lncRNAs PVT1, HOTAIR, NEAT1, and MALAT1, and their associated proteins, PAI-1, and OPN, in breast cancer patients compared to fibroadenoma patients and healthy subjects. Using quantitative real-time PCR (qRT-PCR), we compared the serum expression levels of the four circulating lncRNAs in patients with breast cancer (n = 50), fibroadenoma (n = 25), and healthy controls (n = 25). The serum levels of PAI-1 and OPN were measured using ELISA. Receiveroperating-characteristic (ROC) analysis and multivariate logistic regression were used to evaluate the diagnostic value of the selected parameters. The serum levels of HOTAIR, PAI-1, and OPN were significantly higher in breast cancer patients compared to controls and fibroadenoma patients. The serum level of PVT1 was significantly higher in breast cancer patients than in the controls, while that of NEAT1 was significantly lower in breast cancer patients compared to controls and fibroadenoma patients. Both ROC and multivariate logistic regression analyses revealed that PAI-1 has the greatest power in discriminating breast cancer from the control, whereas HOTAIR, PAI-1, and OPN have the greatest power in discriminating breast cancer from fibroadenoma patients. In conclusion, our data suggest that the serum levels of PVT1, HOTAIR, NEAT1, PAI-1, and OPN could serve as promising diagnostic biomarkers for breast cancer.


2017 ◽  
Vol 24 (12) ◽  
pp. 3510-3517 ◽  
Author(s):  
John R. Bergquist ◽  
Brittany L. Murphy ◽  
Curtis B. Storlie ◽  
Elizabeth B. Habermann ◽  
Judy C. Boughey

2018 ◽  
Vol 8 (3) ◽  
pp. 154-161
Author(s):  
Jasmina Gubaljevic ◽  
Nahida Srabović ◽  
Adlija Jevrić-Čaušević ◽  
Adaleta Softić ◽  
Adi Rifatbegović ◽  
...  

Introduction: The aim of this study was to determine the serum levels of malondialdehyde (MDA) in patients with invasive breast cancer in relation to its serum levels in patients with benign breast disease, and to investigate correlation between MDA serum levels with pathohistological prognostic factors (tumor size, lymph node involvement, and histologic grade [HG]), estrogen receptor (ER) status, and with breast cancer patient’s age and menopausal status. Methods: A total of 43 with well-documented invasive breast cancer were included in this study: 27 with positive axillary’s lymph nodes, and 16 with negative axillary’s lymph nodes, and 39 patients with findings of benign breast diseases. MDA determination in serum of breast cancer and benign breast disease patients was performed by the fluorimetric method, immunohistochemical staining was performed for ER, and routine pathohistological examination was conducted for pathohistological factors. Results: MDA serum levels in breast cancer patients were significantly higher than MDA serum levels in benign breast disease patients (p = 0.042). No statistically significant difference between MDA serum levels in breast cancer patients with and without lymph node metastases was found (p = 0.238). No statistically significant correlations between MDA serum levels and tumor size (p = 0.256), HG (p = 0.124), or number of positive lymph nodes (0.113) were found. A statistically significant correlation between serum MDA levels and ages of breast cancer patients with lymph node metastases was found (p = 0.006). Conclusion: Obtained results support the importance of MDA in the carcinogenesis of breast cancer. According to our findings, serum level of MDA could not be a useful prognostic factor in breast cancer.


2021 ◽  
Vol 11 ◽  
Author(s):  
Yong-Qu Zhang ◽  
Fan Zhang ◽  
Yun-Zhu Zeng ◽  
Min Chen ◽  
Wen-He Huang ◽  
...  

PurposeThe basic helix-loop-helix transcription factor (bHLH) transcription factor Twist1 plays a key role in embryonic development and tumorigenesis. p53 is a frequently mutated tumor suppressor in cancer. Both proteins play a key and significant role in breast cancer tumorigenesis. However, the regulatory mechanism and clinical significance of their co-expression in this disease remain unclear. The purpose of this study was to analyze the expression patterns of p53 and Twist1 and determine their association with patient prognosis in breast cancer. We also investigated whether their co-expression could be a potential marker for predicting patient prognosis in this disease.MethodsTwist1 and mutant p53 expression in 408 breast cancer patient samples were evaluated by immunohistochemistry. Kaplan-Meier Plotter was used to analyze the correlation between co-expression of Twist1 and wild-type or mutant p53 and prognosis for recurrence-free survival (RFS) and overall survival (OS). Univariate analysis, multivariate analysis, and nomograms were used to explore the independent prognostic factors in disease-free survival (DFS) and OS in this cohort.ResultsOf the 408 patients enrolled, 237 (58%) had high mutant p53 expression. Two-hundred twenty patients (53.9%) stained positive for Twist1, and 188 cases were Twist1-negative. Furthermore, patients that co-expressed Twist1 and mutant p53 (T+P+) had significantly advanced-stage breast cancer [stage III, 61/89 T+P+ (68.5%) vs. 28/89 T-P- (31.5%); stage II, 63/104 T+P+ (60.6%)vs. 41/104 T-P- (39.4%)]. Co-expression was negatively related to early clinical stage (i.e., stages 0 and I; P = 0.039). T+P+ breast cancer patients also had worse DFS (95% CI = 1.217–7.499, P = 0.017) and OS (95% CI = 1.009–9.272, P = 0.048). Elevated Twist1 and mutant p53 expression predicted shorter RFS in basal-like patients. Univariate and multivariate analysis identified three variables (i.e., lymph node involvement, larger tumor, and T+P+) as independent prognostic factors for DFS. Lymph node involvement and T+P+ were also independent factors for OS in this cohort. The total risk scores and nomograms were reliable for predicting DFS and OS in breast cancer patients.ConclusionsOur results revealed that co-expression of mutant p53 and Twist1 was associated with advanced clinical stage, triple negative breast cancer (TNBC) subtype, distant metastasis, and shorter DFS and OS in breast cancer patients. Furthermore, lymph nodes status and co-expression of Twist1 and mutant p53 were classified as independent factors for DFS and OS in this cohort. Co-evaluation of mutant p53 and Twist1 might be an appropriate tool for predicting breast cancer patient outcome.


Tumor Biology ◽  
2001 ◽  
Vol 22 (6) ◽  
pp. 367-373 ◽  
Author(s):  
M. Tampellini ◽  
A. Berruti ◽  
G. Gorzegno ◽  
R. Bitossi ◽  
A. Bottini ◽  
...  

1995 ◽  
Vol 10 (2) ◽  
pp. 94-99 ◽  
Author(s):  
M. Torres ◽  
C. Pacheco ◽  
A. Valverde ◽  
A.C. Rebollo ◽  
A. Moral ◽  
...  

The levels of CA 549 and SP2 were measured in 430 subjects: 100 healthy blood donors, 130 patients with benign diseases and 200 postoperative breast cancer patients. In the latter group, the serum levels of CA 15.3, CEA and TPA were also measured. The Kolmogorov-Smirnov, Mann Whitney and McNemar tests were used for statistical analysis. The upper normal limits were established on the basis of the values obtained in the healthy blood donors group, the benign diseases group and R.O.C. analysis of the breast cancer group. They were: CA 549 = 13 U/ml, SP2 = 14 U/ml, CA 15.3 = 35 U/ml, CEA = 5 ng/ml and TPA = 110 U/ml. The sensitivity, specificity and accuracy in the breast cancer group were, respectively: CA 549 = 78.1%, 97.1% and 88%; SP2 = 21.9%, 90.4% and 57.5%; CEA = 66.7%, 95.2% and 81.5%; CA 15.3 = 80.2%, 98.1% and 89.5%, and TPA = 73.9%, 78.8% and 76.5%. Statistical analysis showed significant differences only between CA 15.3, the marker which gave the best results, and SP2 (p<0.001). There were no significant differences with the association of two or three tumor markers.


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