P53 Mutations In Breast Cancer Research Articles

P53 expression correlates with low axillary tumor burden in breast cancer.

The p53 mutation in breast cancer confers a worse prognosis and is usually associated with p53 overexpression (p53+) on immunohistochemistry. Previous studies have shown that p53+ tumors could be associated with low axillary tumor burden (ATB). We aimed to evaluate the association between p53+ and ATB in a large series of breast cancers as an aid to personalizing axillary surgical treatment. We retrieved 1762 infiltrating breast carcinomas from our database that were treated with upfront surgery in Hospital del Mar from 2004 to 2018. We compared p53+ and p53-negative (p53-) tumors in terms of the percentage of cases with high ATB and overall survival. This comparison was made overall and for each immunophenotype. Overall, 18.7% of breast tumors were p53+. High ATB was less common in p53+ tumors than in p53- tumors in the luminal B-Her2-negative immunophenotype (6.2% versus 16.9%, respectively, P =0.025), but not in the other immunophenotypes or overall. Overall survival was worse in patients with p53+ breast cancer (P =0.002). p53+ breast cancers were associated with worse overall survival. However, low ATB was more common in these tumors than in p53- tumors in the luminal B-Her2-negative subtype. Information on p53 expression could be of use to predict ATB in some breast cancer tumors.

Role of curcumin in regulating p53 in breast cancer: an overview of the mechanism of action.

p53 is a tumor suppressor gene involved in various cellular mechanisms including DNA repair, apoptosis, and cell cycle arrest. More than 50% of human cancers have a mutated nonfunctional p53. Breast cancer (BC) is one of the main causes of cancer-related deaths among females. p53 mutations in BC are associated with low survival rates and more resistance to the conventional therapies. Thus, targeting p53 activity was suggested as an important strategy in cancer therapy. During the past decades, cancer research was focused on the development of monotargeted anticancer therapies. However, the development of drug resistance by modulation of genes, proteins, and pathways was the main hindrance to the success of such therapies. Curcumin is a natural product, extracted from the roots of Curcuma longa, and possesses various biological effects including anticancer activity. Previous studies proved the ability of curcumin to modulate several signaling pathways and biomolecules in cancer. Safety and cost-effectiveness are additional inevitable advantages of curcumin. This review summarizes the effects of curcumin as a regulator of p53 in BC and the key molecular mechanisms of this regulation.

IMPLICATION OF P53 MUTATION IN THE DYSREGULATION OF METABOLIC, APOPTOTIC AND OXIDANT/ANTIOXIDANT EQUILIBRIUM IN BREAST CANCER

Breast cancer is the most worldwide frequent invasive tumor diagnosed in women. No single genomic or metabolic condition can be regarded as decisive for its progression. Whoever, few key players can be pointed out among them the tumor suppressor p53, one of the most frequent mutated gene in human malignances. The current study aimed to explore the influence of p53 mutation in the regulation of metabolic, apoptotic and oxidant/antioxidant pathways in breast cancer. In the present study, tumor specimens were obtained from 40 women in different grades of primary breast carcinoma. Another 10 non-malignant (marginal) breast tissue samples were used as controls. Both mutant p53 (mutp53) and Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) proteins were assessed by Western blotting, while the mRNA levels of both the proapoptotic caspase-3 and the antiapoptotic Bcl-2 were assessed by RT-PCR. The breast tissue levels of MDA, NO and GSH besides SOD activity were assayed calorimetrically. Results: Our results revealed that the tumor associated mutp53 over-expression is accompanied on the one hand by Bcl-2 up-regulation and caspase-3 down-regulation reflecting a dysfunctional apoptosis. On the other hand, excessive mutp53 was associated with GAPDH redundant-expression indicating an increased glycolysis. Significant disruptions in the oxidant/antioxidant balance were also coincided with tumor-inherent p53 mutation. Conclusion: Our findings concluded that p53 mutation in breast cancer could not only perturb the tumor suppressive potential of the wild type p53 (wtp53) but also could induce dominant-negative effects over its apoptotic and metabolic functions besides its endeavor in oxidant/antioxidant equilibrium. This overview could have valuable clinical applications in establishing novel strategies for cancer therapy.

P53 mutant breast cancer patients expressing p53γ have as good a prognosis as wild-type p53 breast cancer patients

IntroductionNormal function of the p53 network is lost in most cancers, often through p53 mutation. The clinical impact of p53 mutations in breast cancer remains uncertain, especially where p53 isoforms may modify the effects of these p53 mutations.MethodsExpression of p53β and p53γ isoforms, the isoforms identified in normal breast tissue, was detected by reverse transcription polymerase chain reaction from a cohort of 127 primary breast tumours. Expression of p53β and p53γ isoforms was analysed in relation to clinical markers and clinical outcomes (5 years) by binary logistic regression, Cox proportional hazards regression and Kaplan-Meier survival analyses.Resultsp53β and p53γ were not randomly expressed in breast cancer. p53β was associated with tumour oestrogen receptor (ER) expression, and p53γ was associated with mutation of the p53 gene. The patient group with the mutant p53 breast tumour-expressing p53γ isoform had low cancer recurrence and an overall survival as good as that of patients with wild-type p53 breast cancer. Conversely, patients expressing only mutant p53, without p53γ isoform expression, had a particularly poor prognosis.ConclusionsThe determination of p53γ expression may allow the identification, independently of the ER status, of two subpopulations of mutant p53 breast cancer patients, one expressing p53γ with a prognosis as good as the wild-type p53 breast cancer patients and a second one not expressing p53γ with a particularly poor prognosis. The p53γ isoform may provide an explanation of the hitherto inconsistent relationship between p53 mutation, treatment response and outcome in breast cancer.

P53 mutation, deprivation and poor prognosis in primary breast cancer

Background:The deprivation gap for breast cancer survival remains unexplained by stage at presentation, treatment, or co-morbidities. We hypothesised that p53 mutation might contribute to the impaired outcome observed in patients from deprived communities.Methods:p53 mutation status was determined using the Roche Amplichip research test in 246 women with primary breast cancer attending a single cancer centre and related to deprivation, pathology, overall, and disease-free survival.Results:p53 mutation, identified in 64/246 (26%) of cancers, was most common in 10 out of 17 (58.8%) of the lowest (10th) deprivation decile. Those patients with p53 mutation in the 10th decile had a significantly worse disease-free survival of only 20% at 5 years (Kaplan–Meier logrank χ2=6.050, P=0.014) and worse overall survival of 24% at 5 years (Kaplan–Meier logrank χ2=6.791, P=0.009) than women of deciles 1–9 with p53 mutation (c.f. 56% and 72%, respectively) or patients in the 10th decile with wild-type p53 (no disease relapse or deaths).Conclusion:p53 mutation in breast cancer is associated with socio-economic deprivation and may provide a molecular basis, with therapeutic implications, for the poorer outcome in women from deprived communities.

G:C > A:T mutations and potential epigenetic regulation of p53 in breast cancer

Analysis of germline p53 mutations in breast cancer reveals that the Li-Fraumeni and Li-Fraumeni-like syndromes are mostly related to the loss of initiation codon 133 of regulatory TP53 isoforms (Delta133p53). In eight codons of exons 5-8 (including 133), mutations are frequent in Li-Fraumeni-related, but scarce in sporadic breast cancer, while in six more codons they are frequent both in familial and sporadic breast cancers. At the proximity of these codons, we observed in somatic mutation databases, 16 codons (minihotspots mostly in exons 7, 8) which undergo frequent G:C > A:T transitions (non-CpG) in all sporadic cancers. In addition, in sporadic breast cancer we observed 35 adjacent codons in which the following types of mutation are observed: frequent G:C > A:T transitions at CCs/GGs, frequent silent mutations in exons 5,6 and suppressed nonsense mutations (5 codons, few records). Non-CpG G:C > A:T transitions in the 35 codons are rare in familial cancers (p53, BRCA1, or BRCA2-related), but frequent in sporadic cancers in organs where Li-Fraumeni-related carcinogenesis is common e.g. adrenal cortex, soft tissues. These data are in support of the following tissue-specific processes: in sporadic breast cancer (sarcomas etc.), loss of methylation sites (in 35 codons mostly next to codon 133), might lead to loss of silencing of TP53 isoforms which are suppressed in these tissues. On the contrary, "spreading" of cytosine methylation (asymmetric) in a G:C-rich region next to common hotspots (codons 238-252 in minihotspots) and mutagenesis probably destabilizes all tissues. Frequent C > T activation at non-CpG is also observed in prostate sporadic cancer, which similarly to breast, undergoes age-related crisis. The above data reveal that tissue-specific epigenetic regulatory mechanisms might be involved in p53 instability.

P53 mutation in breast cancer. Correlation with cell kinetics and cell of origin.

Several studies have investigated the expression of the cytokeratins (CKs), vimentin, the epithelial growth factor receptor (EGFR), the oestrogen receptor (ER), and the progesterone receptor (PgR), in breast cancer, but no study has directly compared p53 mutations with these phenotypic and differentiation markers in the same case. The present study was designed to provide some of this information. The expression of the p53 and bcl-2 proteins was evaluated by immunohistochemistry in relation to phenotypic characteristics and cellular kinetic parameters (mitotic index and apoptotic index) in 37 cases of ductal carcinoma in situ (DCIS) and 27 cases of infiltrating ductal carcinoma (IDC) of the breast. In addition, p53 gene mutation was examined by polymerase chain reaction single strand conformation polymorphism analysis (SSCP). Thirteen cases (eight DCIS and five IDC) showed expression of CK8, CK14, CK18, vimentin, and EGFR, consistent with a stem cell phenotype, whereas 44 cases (27 DCIS and 17 IDC) showed expression of CK8 and CK1, weak or negative expression of CK18, but were negative for vimentin and EGFR, consistent with a luminal cell phenotype. DCIS and IDC cases with a stem cell phenotype were ER/PgR negative and intermediately or poorly differentiated. In contrast, the cases with luminal cell phenotype were ER/PgR positive and well or intermediately differentiated. In addition, intermediately or poorly differentiated cases with a stem cell phenotype showed higher proliferative activity (per cent of MIB-l positive cells) than did intermediately or well differentiated cases with a luminal cell phenotype. Both DCIS and IDC cases with a stem cell phenotype were p53 positive and bcl-2 negative by immunohistochemistry. In IDC, p53 expression was associated with a reduction of both mitotic index and apoptotic index compared with DCIS. Most of the tumours showing a more differentiated phenotype (luminal) were p53 negative and bcl-2 positive. In these cases, cell kinetic parameters increased from DCIS to IDC. These data suggest the existence of subsets of DCIS and IDC that, because of their phenotypic characteristics, could be derived from subpopulations of normal breast cells having different control mechanisms of cell proliferation and neoplastic progression. These results are compatible with the hypothesis that the phenotype of the cell of origin constrains both tumour phenotype and the choice of genetic events; however, the occurrence of p53 mutants by chance during neoplastic transformation cannot be excluded.

Improving the Detection of p53 Mutations in Breast Cancer by Use of the FASAY, a Functional Assay

The aim of this investigation was to examine the ability of the yeast-based functional assay, the functional analysis for the separation of alleles in yeast (FASAY), to detect p53 mutations in breast cancers when compared with immunohistochemistry and automated sequencing of the whole p53 gene (exons 1-11). To achieve this, all three methods were carried out on a cohort of aggressive breast tumors. In those tumors, in which the FASAY analysis indicated the presence of a mutation, cDNA was extracted from red yeast colonies and was sequenced to identify the base change in the p53 gene. The FASAY detected all 24 mutations found in the series of 48 tumors, whereas initial automated sequencing of genomic DNA detected 18/24 mutations. A second round of automated sequencing carried out using an independent source of genomic DNA detected mutations in 3 of the 6 tumors that originally appeared to lack a mutation in genomic DNA. All but 1 of the mutations originally missed by sequencing of genomic DNA were point mutations. Five mutations in this series (21%) were outside the commonly investigated exons 5-8, reinforcing the need to extend sequencing beyond this region. Of 24 tumors, 14 had strong immunohistochemical staining, and all 14 had p53 mutations; the majority of mutations missed by immunohistochemistry produced a truncated protein. Strong staining was not seen in tumors lacking a p53 mutation. The FASAY proved to be a rapid, reliable, and effective method for identifying those breast tumors harboring p53 mutations.

Routine analysis of p53 mutation in clinical breast tumor specimens using fluorescence-based polymerase chain reaction and single strand conformation polymorphism.

Improved prognostic and predictive markers in breast cancer management would help considerably in therapeutic decision making, particularly in patients with early-stage breast cancer. Tumor factors currently used for prognostication and management decisions are tumor size, histologic type and grade, axillary lymph node status, and estrogen receptor content. The discovery of various somatic genetic alterations in breast cancer has raised the possibility that these may provide additional and independent prognostic and predictive information. Alterations of the p53 tumor suppressor gene in particular have received the most attention as potential prognostic and predictive factors. In multivariate analysis, p53 gene mutation is consistently associated with a two- to threefold increased risk of relapse and death from breast cancer. One of the major reasons preventing the introduction of p53 mutation as a routine marker to assist in therapeutic decision making is the lack of a simple, reproducible, and inexpensive assay. In the present study the authors optimized a polymerase chain reaction-based mutation screening method, fluorescence-single strand conformation polymorphism (F-SSCP), that allows p53 status to be assessed accurately and reproducibly in routinely handled, formalin-fixed and paraffin-embedded tumor specimens. The frequency of p53 mutation observed using F-SSCP in a consecutive series of invasive ductal breast carcinomas was 17% (28/164). The authors propose that the prognostic and predictive values of p53 mutation in breast cancer should be further evaluated in prospective, randomized studies using this standardized technique.

Prognostic significance of p53 mutation in breast cancer: frequent detection of non-missense mutations by yeast functional assay.

p53 status was tested in 180 patients with primary breast cancer using a yeast functional assay. Mutations were identified in 32% of cases. Only half were point missense mutations; the remainder were nonsense, insertion, deletion and splice site mutations. Twenty-two percent of mutations were located outside exons 5-8. For a median follow-up of 88 months, survival analysis showed that p53 mutation conferred a worse prognosis in the whole population and the node-positive subgroup but not in node-negative patients. p53 status, tumour size >2 cm, axillary lymph node metastasis and high histological grade were major adverse risk factors in univariate analysis. Multivariate analysis of 153 patients for whom full data were available showed that p53 status contributed prognostic information when tumour size and lymph node status were taken into account but not when histological grade was included. p53 status thus contributes only limited new prognostic information in breast cancer when established prognostic factors are taken into account. Int. J. Cancer (Pred. Oncol.) 84:587-593, 1999.

P53 in Breast Carcinomas: Association Between Presence of Mutation and Immunohistochemical Expression Using a Semiquantitative Approach

The aim of this study was to evaluate the concordance between the presence of p53 mutations in breast carcinomas expressing the protein by immunohistochemistry. A series of 60 breast carcinomas was evaluated by immunohistochemistry using monoclonal antibodies against p53 protein (DO 7 and PAb 1801). Twenty cases classified as being positive for p53 according to the current approach (if 5% or more of neoplastic cells contained reaction product in the nucleus) were used for molecular studies. These cases were re-assessed semi-quantitatively using a scoring system based on intensity and percentage of stained cells. DNA was phenol-chloroform extracted from microdissected normal and tumour cells obtained from formalin-fixed, paraffin-embedded tissue sections. Mutations in the p53 gene were analysed by SSCP (single strand conformational polymorphism) with primers covering exons 2-3 to 11. Ten out of the 20 p53-positive cases presented mutations detected by SSCP analysis. Mutations have been found in several exons ranging from exon 4 to exon 10. We observed a positive relationship between the presence of mutations and immunohistochemical evaluation of p53 protein expression using a semiquantitative scoring system. All cases with more than 2/3 stained tumour cells and strong intensity of staining exhibited p53 mutations. At variance, no p53 mutations were found in cases with less than 1/3 stained tumour cells and moderate intensity of staining. Therefore, only the identification of positivity for p53 detected by immunohistochemistry did not always reflect the detection of p53 mutations in breast cancer, however the use of a semi-quantitative approach seems to be useful as an indicator of the presence of mutation.