Protein expression patterns of cell cycle regulators in operable breast cancer (original) (raw)
Related papers
International Journal of Cancer, 2001
Progression through the mammalian cell cycle is facilitated by cyclin-cyclin-dependent kinase (cdk) complexes, which are activated at specific points during the cell cycle. Alteration in cyclin-cdk complexess may lead to altered cell cycle and tumorigenesis. In this study, we analyzed expression of cyclins A, D1, D3 and E in tumor tissue from 170 patients with primary invasive breast carcinomas. Immunohistochemical methods were used to detect protein expression of these cyclins. We detected positive immunoreactivity in 55 (32%), 22 (13%), 38 (22%) and 37 (21.8%) of the samples for cyclins A, D1, D3 and E, respectively. A highly statistically significant association was observed between expression of cyclin A and early relapse (p ؍ 0.001 univariate analysis, p ؍ 0.006 multivariate analysis) as well as cancer-specific death (p < 0.0001) during the follow-up time. No association was observed between cyclin D1 or cyclin E, respectively, and relapse of disease or survival, while cyclin D3 over-expression was associated with development of metastases during follow-up (p ؍ 0.005 univariate analysis, p ؍ 0.01 multivariate analysis). However, cyclin D3 did not show any statistically significant association when cancer-specific death was examined in a multivariate analysis (Cox regression for survival function).
Cellular oncology : the official journal of the International Society for Cellular Oncology, 2006
Deregulation of cell cycle control is a hallmark of cancer. The primary cyclins (A, B1, D1, D3 and E) are crucial for cell cycle progression. Secondary cyclins (C and H) have putative indirect effects on cell cycle propulsion and are not previously evaluated in breast cancer. We have examined protein expression and gene amplification of cyclins in breast carcinomas and correlated the findings with clinical follow-up data. We have previously demonstrated that over-expression of cyclin A is associated with poor prognosis in breast cancer patients. In this study we wanted to evaluate the mechanisms behind overexpression of cyclin A, as well as the impact of other cyclins, both at the gene level and at the protein level, on prognosis of breast cancer patients. The impact of TP53 gene mutations on gene amplification of cyclins was also evaluated. Real-Time Quantitative PCR was used to detect gene amplification of cyclins in tumour tissue from 86 patients operated for invasive breast carc...
Pathology & Oncology Research
We aimed to analyze the expression of cell-cycle regulation markersminichromosome maintenance protein 2 (MCM2), Ki-67, Cyclin-A and phosphohistone-H3 (PHH3) − in pre-treatment core-biopsy samples of breast carcinomas in correlation with known predictive and prognostic factors. Totally 52 core biopsy samples obtained prior to neoadjuvant therapy were analyzed. Immunohistochemistry was performed to analyze the expression of MCM2, Ki-67, Cyclin A and PHH3, which were correlated with the following clinicopathological parameters: clinical TNM, tumor grade, biological subtype, the presence of tumor infiltrating lymphocytes (TIL), pathological tumor response rate to the neoadjuvant therapy and patient survival. All investigated markers showed higher expression in high grade and in triple negative tumors (p < 0.01 and p < 0.05, respectively). Hormone receptor negative tumors showed significantly higher expression of Ki-67 (p < 0.01), MCM2 (p < 0.01) and Cyclin A (p < 0.01) than hormone receptor positive ones. Tumors with increased TIL showed significantly higher Ki-67 expression (p = 0.04). Pattern analysis suggested that novel cell-cycle marker-based subgrouping reveals predictive and prognostic potential. Tumors with high MCM2, Cyclin A or PHH3 expression showed significantly higher rate of pathological complete remission. Tumors with early relapse (progression-free survival ≤2 years) and shortened overall survival also show a higher rate of proliferation. Our cell cycle marker (Ki-67, MCM2, Cyclin A, PHH3) based testing could identify tumors with worse prognosis, but with a favorable response to primary systemic therapy. The pattern of cell-cycle activity could also be useful for predicting early relapse, but our findings need to be further substantiated in larger patient cohorts.
p53, p21, and cyclin d1 protein expression patterns in patients with breast cancer
Veterinary World, 2021
Background and Aim: The mutation in the wild-type tumor suppressor gene p53 is the most common genetic change in human tumors. In addition, the normal function of p21, which is both antiproliferative and an inhibitor of the cell cycle, is disrupted in some types of cancer. Meanwhile, cyclin D1 is a member of the cyclin protein family that is involved in regulating cell cycle progression. This study aimed to assess the expressions of the cell cycle inhibitory proteins p21, cyclin D1, and tumor suppressor gene p53, as well as their influence on the expressed histopathological changes in breast cancer tissues. Materials and Methods: Overall, 40 breast tissue specimens were investigated in this study, 30 of which were cancerous, while 10 were healthy tissues. p53, p21, and cyclin D1 expression patterns were detected using an immunohistochemistry (IHC) system. Results: The IHC reactions for p53 were positively observed in 27/30 (90%) cancerous tissues, compared with 2/10 (20%) normal breast tissues. For p21, reactions were observed in 28/30 (93.33%) cancerous tissues and 3/10 (30%) control tissues. For cyclin D1, reactions were observed in 25/30 (83.33%) cancerous tissues and 1/10 (10%) control tissues. The differences between the breast cancer tissues and the control tissues were statistically highly significant (p<0.01). Conclusion: The high expression rates of p21, cyclin D1, and p53 in malignant breast cancer cells with little or no regulatory role might imply mutational events in these proteins operating in concert with a variety of other genetic mutations in these tissues, which may play a molecular role in the development and/or progression of breast carcinogenesis.
Breast Cancer Research and Treatment, 2009
Cyclins D1 and E play an important role in breast carcinogenesis. High cyclin E expression is common in hormone receptor negative and high grade aggressive breast cancer, whereas cyclin D1 in hormone receptor positive and low grade breast cancer. Experimental data has suggested that cyclin D1 and E mediate cell proliferation by different mechanisms in estrogen receptor (ER) positive and negative breast cancer. To test this hypotheses in large breast cancer material and to clarify the histopathological correlations of cyclin E and D1, especially the association with proliferation, we analyzed cyclin E and D1 immunohistochemical expression on breast tumour microarrays consisting of 1348 invasive breast cancers. High cyclin D1 expression was associated with high grade (P \ 0.0005), high cyclin A (P \ 0.0005) and Ki67 (P \ 0.0005) expression among ER positive but with low grade (P = 0.05) and low Ki67 (P = 0.01) expression among ER negative breast cancers. Cyclin E and D1 expression correlated positively in ER positive (P \ 0.0005) but had a negative correlation in ER negative tumours (P = 0.004). Cyclin E associated with high grade among all tumours (P \ 0.0005). In conclusion, the findings of this study show that cyclin D1 has separate roles, and proliferation is driven by different mechanisms in ER positive and negative breast cancers.
Cell cycle proteins do not predict outcome in grade I infiltrating ductal carcinoma of the breast
… journal of cancer, 2000
Infiltrating ductal mammary carcinomas are histologically graded according to their extent of differentiation. Welldifferentiated, grade I, tumours have low proliferative activity, usually form tubules and exhibit little nuclear pleomorphism. Despite an apparently reassuring morphology, 10 -15% of grade I ductal carcinomas metastasise, albeit after a prolonged period. Recent evidence supports the view that evolution to higher grade malignancies occurs rarely and that grade I tumours are biologically distinct from grade III tumours. We have examined a series of 148 grade I ductal carcinomas in order to ascertain whether information about the level of expression of cyclin D1, p27, p53, oestrogen receptor status (ER) or proliferative activity could be used to identify those patients with a poor outcome. The majority of tumours expressed high levels of cyclin D1, p27 and ER, low levels of p53 and had low Ki-67 expression and mitotic counts. Cyclin D1, p27 and ER expression were all significantly correlated with each other but not with p53 (cyclin D1 correlation with ER, p ؍ 0.01; cyclin D1 correlation with p27 and ER correlation with p27 both p < 0.0001). Cyclin D1 and ER were also both correlated with Ki-67 (p ؍ 0.01 and p < 0.0001) but not with mitotic count. Our results suggest that cyclin D1, ER and p27 are all markers of well-differentiated tumours and that their detection is related to proliferative activity in a manner reflecting their functional role within the normal cell cycle. However, none of the proteins or markers of proliferative activity were sensitive enough to predict which patients were likely to have a poor outcome.
Virchows Archiv, 2016
We aimed to analyze to what extent expression of four cell cycle regulation markers-minichromosome maintenance protein (MCM2), Ki-67, cyclin A, and phosphohistone-H3 (PHH3)-predict response to primary systemic therapy in terms of pathological complete remission (pCR). In search of an accurate and reproducible scoring method, we compared computer-assisted (CA) and routine visual assessment (VA) of immunoreactivity. We included 57 patients with breast cancer in the study. The cell cycle markers were detected using immunohistochemistry on pre-therapy core biopsy samples. Parallel CA (validated by manual labeling) and standard VA were performed and compared for diagnostic agreement and predictive value for pCR. CA and VA results were dichotomized based on receiver operating characteristic analysis defined optimal cutoff values. "High" was defined by staining scores above the optimal cutoff, while "low" had staining scores below the optimal cutoff. The CA method resulted in significantly lower values for Ki-67 and MCM2 compared to VA (mean difference, −3.939 and −4.323). Diagnostic agreement was highest for cyclin A and PHH3 (−0.586 and −0.666, respectively). Regardless of the method (CA/VA) used, all tested markers were predictive of pCR. Optimal cutoff based dichotomization improved diagnostic agreement between the CA and VA methods for every marker, in particular for MCM2 (κ = 1, p < 0.000). Cyclin A displayed excellent agreement (κ = 0.925; p < 0.000), while Ki-67 and PHH3 showed good agreement (κ = 0.789, p < 0.000 and κ = 0.794, p < 0.000, respectively). We found all cell cycle markers (Ki-67, MCM2, cyclin A, and PHH3) predictive of pCR. Diagnostic agreement between CA and VA was better at lower staining scores but improved after optimal cutoff based dichotomization.
British journal of …, 2009
Multiparameter analysis of core regulatory proteins involved in G1–S and G2–M cell-cycle transitions provides a powerful biomarker readout for assessment of the cell-cycle state. We have applied this algorithm to breast cancer to investigate how the cell cycle impacts on disease progression. Protein expression profiles of key constituents of the DNA replication licensing pathway (Mcm2, geminin) and mitotic machinery (Plk1, Aurora A and the Aurora substrate histone H3S10ph) were generated for a cohort of 182 patients and linked to clinicopathological parameters. Arrested differentiation and genomic instability were associated with an increased engagement of cells into the cell division cycle (P<0.0001). Three unique cell-cycle phenotypes were identified: (1) well-differentiated tumours composed predominantly of Mcm2-negative cells, indicative of an out-of-cycle state (18% of cases); (2) high Mcm2-expressing tumours but with low geminin, Aurora A, Plk1 and H3S10ph levels (S–G2–M progression markers), indicative of a G1-delayed/arrested state (24% cases); and (3) high Mcm2-expressing tumours and also expressing high levels of the S–G2–M progression markers, indicative of accelerated cell-cycle progression (58% of cases). The active cell-cycle progression phenotype had a higher risk of relapse when compared with out-of-cycle and G1-delayed/arrested phenotypes (HR=3.90 (1.81–8.40, P<0.001)), and was associated with Her-2 and triple negative subtypes (P<0.001). It is of note that high-grade tumours with the G1-delayed/arrested phenotype showed an identical low risk of relapse compared with well-differentiated out-of-cycle tumours (HR=1.00 (0.22–4.46), P=0.99). Our biomarker algorithm provides novel insights into the cell-cycle state of dynamic tumour cell populations in vivo. This information is of major prognostic significance and may impact on individualised therapeutic decisions. Patients with an accelerated phenotype are more likely to derive benefit from S- and M-phase-directed chemotherapeutic agents.