Anti-p53 antibodies in serum: relationship to tumor biology and prognosis of breast cancer patients

2009 ◽  
Vol 27 (3) ◽  
pp. 887-893 ◽  
Author(s):  
A. Kulić ◽  
M. Sirotković-Skerlev ◽  
S. Jelisavac-Ćosić ◽  
D. Herceg ◽  
Z. Kovač ◽  
...  
BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Toru Hanamura ◽  
Koichi Ohno ◽  
Shinya Hokibara ◽  
Hideki Murasawa ◽  
Toshitsugu Nakamura ◽  
...  

Abstract Background Recent preclinical data suggest that androgen receptor (AR) signaling plays a significant role in subsets of breast cancer. Clinical trials testing AR-targeting therapies in breast cancer have been conducted. Assessment of AR-signal in breast cancer tissue maybe useful for treatment selections. Prostate specific antigen (PSA) is the product of an androgen-responsive gene. Serum PSA (sPSA) can be detected in women by a highly sensitive assay although the concentration is much lower than that observed in males. We investigated if sPSA reflects tumor biology, including AR signaling in breast cancer patients. Methods In this study, 132 healthy controls and 144 breast cancer patients were enrolled. sPSA was evaluated by the chemiluminescent enzyme immunoassay (CLEIA) method. Correlations between sPSA and the various clinicopathological factors were analyzed. Results In post-menopausal state, sPSA detection rate was significantly higher in breast cancer patients compared with controls (27.4% vs 11.3%: p = 0.0090), but not in the whole cohort (29.2% vs 25.8%: p = 0.5265) or pre-menopausal subgroup (37.0% vs 42.6%: p = 0.6231). In post-menopausal breast cancer cases, higher sPSA value was associated with clinic-pathological factors including the expression of AR protein in primary legion. In a correlation analysis of quantitative data limited to post-menopausal metastatic breast cancer (MBC), sPSA was positively, albeit weakly correlated with clinic-pathological features including serum testosterone levels and AR positivity. Conclusions Our data suggest that sPSA may reflect tumor biological properties including AR activity in post-menopausal breast cancer.


2020 ◽  
pp. 1-10
Author(s):  
Maja Sirotković-Skerlev ◽  
Natalija Dedić Plavetić ◽  
Filip Sedlić ◽  
Sanja Kusačić Kuna ◽  
Damir Vrbanec ◽  
...  

BACKGROUND: Apoptosis inhibition is a major tumorigenic factor. Bcl-2 dysregulation and TP53 mutation status, which may correlate with autoantibody generation, contribute to impaired apoptosis. OBJECTIVE: This study aimed to investigate the prognostic value of circulating Bcl-2 and anti-p53 antibodies (p53Abs) in a 17.5-year follow-up of breast cancer patients. We also analyzed the correlations of Bcl-2 and p53Abs with various clinicopathological parameters in order to assess their impact on tumor aggressiveness. METHODS: Serum Bcl-2 and p53Abs levels were analyzed by the enzyme-linked immunosorbent assay (ELISA) in 82 patients with invasive breast cancer and twenty individuals without malignancy. RESULTS: Serum Bcl-2 and p53Abs levels in breast cancer patients were significantly higher than those in controls. Patients with high levels of Bcl-2 (cut-off 200 U/ml) had a poorer prognosis (17.5-year survival) than those with lower Bcl-2 values. In combined analysis the subgroup of patients with elevated p53Abs (cut-off 15 U/ml) and elevated Bcl-2 (cut-offs 124 U/ml and 200 U/ml) had the worse prognosis in 17.5-year survival. In correlation analysis p53Abs and Bcl-2 were associated with unfavorable clinicopathological parameters. CONCLUSIONS: Our results suggest that breast cancer patients with high serum levels of p53Abs and Bcl-2 present an especially unfavorable group in a long follow-up.


QJM ◽  
2020 ◽  
Vol 113 (Supplement_1) ◽  
Author(s):  
H M Abdelaziz ◽  
K Naguib ◽  
D Moussa ◽  
N Mohammad

Abstract Background Breast cancer (BC) is a major health problem in Egypt and worldwide. Its prognosis depends not only on tumor stage but also on tumor biology. Aim of the Work To correlate the percentage of expression of Ki67 with the clinical outcomes of early hormone-receptor positive for postmenopausal breast cancer patients who are receiving adjuvant tamoxifen Material and Methods we retrospectively reviewed 52 patients treated for non-metastatic postmenopausal breast cancer with adjuvant tamoxifen at Ain-Shams University hospital, Clinical Oncology department between January 2010 and December 2015. Ki67 value and other clinicopathological data were retrieved. Results Out of 52 patients fulfilling research criteria, the age rannged from 45 to 71 years.All patients were stage0-ΙΙΙ. Stage II was the most common represented 38.5 %, while Stage 0 was the least common presents 3.8%. Using a ki67cut-off value of 20, patients were stratified into two risk groups; the low risk group had ki67 <20 % and represented (67.3%) of cases and the high risk group were ≥ 20% and represented 32.7%. The median Ki67 value was 12.00 (IQR 5 – 20).Median DFS was 42.5 months (IQR 31.2 – 57). Median of OS was 49 moths (IQR 34 – 58).Among multiple prognostic factors Stage, luminal A subtype was significantly related to better OS and DFS In our study, there was no difference regarding OS and DFS between low and high ki67 group’s results ρ = 0.308 and ρ = 0.064 respectively. Conclusion Ki67 is not a predictive factor for resistance to adjuvant tamoxifen in post-menopausal female breast cancer patients.


2018 ◽  
Vol 12 (6) ◽  
pp. 972-990 ◽  
Author(s):  
Thilde Terkelsen ◽  
Vilde D. Haakensen ◽  
Radka Saldova ◽  
Pavel Gromov ◽  
Merete Kjær Hansen ◽  
...  

2017 ◽  
Vol 24 (12) ◽  
pp. 3502-3509 ◽  
Author(s):  
Elizabeth A. Mittendorf ◽  
Mariana Chavez-MacGregor ◽  
Jose Vila ◽  
Min Yi ◽  
Daphne Y. Lichtensztajn ◽  
...  

Biomedicines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 543
Author(s):  
Giuseppina Augimeri ◽  
Daniela Bonofiglio

Over the last decades, the breast tumor microenvironment (TME) has been increasingly recognized as a key player in tumor development and progression and as a promising prognostic and therapeutic target for breast cancer patients. The breast TME, representing a complex network of cellular signaling—deriving from different stromal cell types as well as extracellular matrix components, extracellular vesicles, and soluble growth factors—establishes a crosstalk with cancer cells sustaining tumor progression. A significant emphasis derives from the tumor surrounding inflammation responsible for the failure of the immune system to effectively restrain breast cancer growth. Thus, effective therapeutic strategies require a deeper understanding of the interplay between tumor and stroma, aimed at targeting both the intrinsic neoplastic cells and the extrinsic surrounding stroma. In this scenario, peroxisome proliferator-activated receptor (PPAR) γ, primarily known as a metabolic regulator, emerged as a potential target for breast cancer treatment since it functions in breast cancer cells and several components of the breast TME. In particular, the activation of PPARγ by natural and synthetic ligands inhibits breast cancer cell growth, motility, and invasiveness. Moreover, activated PPARγ may educate altered stromal cells, counteracting the pro-inflammatory milieu that drive breast cancer progression. Interestingly, using Kaplan–Meier survival curves, PPARγ also emerges as a prognostically favorable factor in breast cancer patients. In this perspective, we briefly discuss the mechanisms by which PPARγ is implicated in tumor biology as well as in the complex regulatory networks within the breast TME. This may help to profile approaches that provide a simultaneous inhibition of epithelial cells and TME components, offering a more efficient way to treat breast cancer.


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