Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype1-3. To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores.
Matched MeSH terms: Breast Neoplasms/genetics*; Triple Negative Breast Neoplasms/genetics
Overexpression of the epidermal growth factor receptor-related gene ErbB2 occurs in 18% to 25% of patients with breast cancer in Western countries and is associated with a poor prognosis. The prevalence of ErbB2-positive tumors in Asia is unclear, partly because data are limited. The objective of this review was to summarize the reported prevalence of ErbB2-positive tumors from a large sample of Asian patients and to examine ErbB2 assessment methods in Asia. From searches of MEDLINE, local language journals, and local and international conference proceedings as well as locoregional breast cancer experts' recommendations, the authors selected up to 5 studies each from India, Korea, Malaysia, the Philippines, Singapore, Taiwan, and Thailand that reported ErbB2 results based on assessment with immunohistochemistry (IHC) and/or fluorescence in situ hybridization (FISH). The reported prevalence of ErbB2-positive tumors in 22 studies on 24,671 patients, of whom 14,398 patients were assessed for ErbB2 status, varied widely (range, 6%-65%) as did the assessment methods used. Most studies (n=21) used IHC to assess ErbB2 status, but definitions for positivity varied. When robust assessment methods were used, the median prevalence was 19% based on strong IHC staining (IHC3+; n=9812 patients) and 25% based on FISH (n=681 patients). Data on the prevalence of ErbB2-positive breast cancer in Asia are limited. The current survey indicated that the prevalence in Asia may be similar to that in Western countries; thus, up to 1 in 4 Asian patients with breast cancer potentially could benefit from ErbB2-targeted treatment. A standard, reliable ErbB2 assessment method available to patients across Asia is urgently required.
Hereditary breast cancers, mainly due to BRCA1 and BRCA2 mutations, account for only 5-10% of this disease. The threshold for genetic testing is a 10% likelihood of detecting a mutation, as determined by validated models such as BOADICEA and Manchester Scoring System. A 90-95% reduction in breast cancer risk can be achieved with bilateral risk-reducing mastectomy in unaffected BRCA mutation carriers. In patients with BRCA-associated breast cancer, there is a 40% risk of contralateral breast cancer and hence risk-reducing contralateral mastectomy is recommended, which can be performed simultaneously with surgery for unilateral breast cancer. Other options for risk management include surveillance by mammogram and breast magnetic resonance imaging, and chemoprevention with hormonal agents. With the advent of next-generation sequencing and development of multigene panel testing, the cost and time taken for genetic testing have reduced, making it possible for treatment-focused genetic testing. There are also drugs such as the PARP inhibitors that specifically target the BRCA mutation. Risk management multidisciplinary clinics are designed to quantify risk, and offer advice on preventative strategies. However, such services are only possible in high-income settings. In low-resource settings, the prohibitive cost of testing and the lack of genetic counsellors are major barriers to setting up a breast cancer genetics service. Family history is often not well documented because of the stigma associated with cancer. Breast cancer genetics services remain an unmet need in low- and middle-income countries, where the priority is to optimise access to quality treatment.
Breast cancer is a heterogeneous disease, marked by extensive chromosomal aberrations. In this study, we aimed to explicate the underlying chromosomal copy number (CN) alterations and loss of heterozygosity (LOH) implicated in a cohort of Malaysian hospital-based primary breast carcinoma samples using a single nucleotide polymorphism (SNP) array platform. The analysis was conducted by hybridizing the extracted DNA of 70 primary breast carcinomas and 37 normal peripheral blood samples to the Affymetrix 250K Sty SNP arrays. Locus-specific CN aberrations and LOH were statistically summarized using the binary segmentation algorithm and hidden Markov model. Selected genes from the SNP array analysis were also validated using quantitative real-time PCR. The merging of CN and LOH data fabricated distinctive integrated alteration profiles, which were comprised of finely demarcated minimal sites of aberrations. The most prevalent gains (≥ 30%) were detected at the 8q arm: 8q23.1, 8q23.3, 8q24.11, 8q24.13, 8q24.21, 8q24.22, 8q24.23 and 8q24.3, whilst the most ubiquitous losses (≥ 20%) were noted at the 8p12, 8p21.1, 8p21.2, 8p21.1-p21.2, 8p21.3, 8p22, 8p23.1, 8p23.1‑p23.2, 8p23.3, 17p11.2, 17p12, 17p11.2-p12, 17p13.1 and 17p13.2 regions. Copy-neutral LOH was characterized as the most prevailing LOH event, in which the most frequent distributions (≥ 30%) were revealed at 3p21.31, 5q33.2, 12q24.12, 12q24.12‑q24.13 and 14q23.1. These findings offer compre-hensive genome-wide views on breast cancer genomic changes, where the most recurrent gain, loss and copy-neutral LOH events were harboured within the 8q24.21, 8p21.1 and 14q23.1 loci, respectively. This will facilitate the uncovering of true driver genes pertinent to breast cancer biology and the develop-ment of prospective therapeutics.
Measuring at ~30 nm, a fully customizable holliday junction DNA nanoconstruct, was designed to simultaneously carry three unmodified SiRNA strands for apoptosis gene knockout in cancer cells without any assistance from commercial transfection kits. In brief, a holliday junction structure was intelligently designed to present one arm with a cell targeting aptamer (AS1411) while the remaining three arms to carry different SiRNA strands by means of DNA/RNA duplex for inducing apoptosis in cancer cells. By carrying the three SiRNA strands (AKT, MDM2 and Survivin) into triple negative breast MDA-MB-231 cancer cells, cell number had reduced by up to ~82% within 24 hours solely from one single administration of 32 picomoles. In the immunoblotting studies, up-elevation of phosphorylated p53 was observed for more than 8 hours while the three genes of interest were suppressed by nearly half by the 4-hour mark upon administration. Furthermore, we were able to demonstrate high cell selectivity of the nanoconstruct and did not exhibit usual morphological stress induced from liposomal-based transfection agents. To the best of the authors' knowledge, this system represents the first of its kind in current literature utilizing a short and highly customizable holliday DNA junction to carry SiRNA for apoptosis studies.
Matched MeSH terms: Triple Negative Breast Neoplasms/genetics*
Carcinogenesis, a multi-step phenomenon, characterized by alterations at genetic level and affecting the main intracellular pathways controlling cell growth and development. There are growing number of evidences linking oncogenes to the induction of malignancies, especially breast cancer. Modulations of oncogenes lead to gain-of-function signals in the cells and contribute to the tumorigenic phenotype. These signals yield a large number of proteins that cause cell growth and inhibit apoptosis. Transcription factors such as STAT, p53, NF-κB, c-JUN and FOXM1, are proteins that are conserved among species, accumulate in the nucleus, bind to DNA and regulate the specific genes targets. Oncogenic transcription factors resulting from the mutation or overexpression following aberrant gene expression relay the signals in the nucleus and disrupt the transcription pattern. Activation of oncogenic transcription factors is associated with control of cell cycle, apoptosis, migration and cell differentiation. Among different cancer types, breast cancer is one of top ten cancers worldwide. There are different subtypes of breast cancer cell-lines such as non-aggressive MCF-7 and aggressive and metastatic MDA-MB-231 cells, which are identified with distinct molecular profile and different levels of oncogenic transcription factor. For instance, MDA-MB-231 carries mutated and overexpressed p53 with its abnormal, uncontrolled downstream signalling pathway that account for resistance to several anticancer drugs compared to MCF-7 cells with wild-type p53. Appropriate enough, inhibition of oncogenic transcription factors has become a potential target in discovery and development of anti-tumour drugs against breast cancer. Plants produce diverse amount of organic metabolites. Universally, these metabolites with biological activities are known as "natural products". The chemical structure and function of natural products have been studied since 1850s. Investigating these properties leaded to recognition of their molecular effects as anticancer drugs. Numerous natural products extracted from plants, fruits, mushrooms and mycelia, show potential inhibitory effects against several oncogenic transcription factors in breast cancer. Natural compounds that target oncogenic transcription factors have increased the number of candidate therapeutic agents. This review summarizes the current findings of natural products in targeting specific oncogenic transcription factors in breast cancer.
Numerous studies have investigated the association of MIR499A rs3746444 polymorphism with breast cancer susceptibility, but the results have been inconsistent. In this work, we performed a meta-analysis to obtain a more reliable estimate of the association between the polymorphism and susceptibility to breast cancer. A comprehensive literature search was conducted on PubMed, Scopus, Web of Science (WoS), China National Knowledge Infrastructure (CNKI), VIP and Wanfang databases up to January 2020. A total of 14 studies involving 6,797 cases and 8,534 controls were included for analysis under five genetic models: homozygous (GG vs. AA), heterozygous (AG vs. AA), dominant (AG + GG vs. AA), recessive (GG vs. AA + AG) and allele (G vs. A). A statistically significant association was observed between the polymorphism and an increased breast cancer susceptibility under all genetic models (homozygous, OR = 1.33, 95% CI = 1.03-1.71, P = 0.03; heterozygous, OR = 1.08, 95% CI = 1.00-1.16, P = 0.04; dominant, OR = 1.15, 95% CI = 1.02-1.30; P = 0.03; recessive, OR = 1.35, 95% CI = 1.06-1.72, P = 0.01; allele, OR = 1.12, 95% CI = 1.00-1.26, P = 0.04). Subgroup analysis based on ethnicity suggested that significant association was present only among Asians, but not Caucasians. In conclusion, MIR499A rs3746444 polymorphism was significantly associated with breast cancer susceptibility among Asians, suggesting its potential use as a genetic risk marker in this population.
MicroRNAs (miRNAs) are small non-coding RNA molecules which function as critical post-transcriptional gene regulators of various biological functions. Generally, miRNAs negatively regulate gene expression by binding to their selective messenger RNAs (mRNAs), thereby leading to either mRNA degradation or translational repression, depending on the degree of complementarity with target mRNA sequences. Aberrant expression of these miRNAs has been linked etiologically with various human diseases including breast cancer. Different cellular pathways of breast cancer development such as cell proliferation, apoptotic response, metastasis, cancer recurrence and chemoresistance are regulated by either the oncogenic miRNA (oncomiR) or tumor suppressor miRNA (tsmiR). In this review, we highlight the current state of research into miRNA involved in breast cancer, with particular attention to articles published between the years 2000 to 2019, using detailed searches of the databases PubMed, Google Scholar, and Scopus. The post-transcriptional gene regulatory roles of various dysregulated miRNAs in breast cancer and their potential as therapeutic targets are also discussed.
Breast cancer is the most common cancer in women worldwide. The majority of breast cancers show overexpression of estrogen receptors (ERs) and progesterone receptors (PRs). The development of drugs to target these hormone receptors, such as tamoxifen, has brought about significant improvement in survival for women with hormone receptor-positive breast cancers. Since information about ER and PR is vital for patient management, quality assurance is important to ensure accurate testing. In recent guidelines, the recommended definition of ER and PR positivity is 1% or more of cells that stain positive. Semiquantitative assessment of ER and PR is important for prognosis and, hence, management. Even with the development of genomic tests, hormone receptor status remains the most significant predictive and prognostic biomarker.
A family of PI3Ks is the lipid kinases, which enhance intracellular pools of phosphatidyl inositol 3,4,5-tri-phosphate (PIP3) through phosphorylating its precursor. Amplifications and deletions of genes, as well as somatic missense of the PIK3CA gene have been described in many human cancer varieties, including of the brain, colon, liver, lung and stomach. Immunohistochemistry and Real-time quantitative PCR tests were used to determine the PIK3CA gene amplification (gene copy number) and to detect protein expression, respectively. The results obtained were analysed and the ratio of PIK3CA to β-actin gene copy number was calculated. Positive gene amplification of PIK3CA was appointed as a copy number of ≥4. Also, PI3K p110α protein expression was scored from 0 to 3+ and the scores of 2+ and 3+ were considered as positive for PI3K p110α protein expression. We studied 50 breast carcinoma samples for PI3K p110α protein expression and PIK3CA gene copy numbers. In general, 36 out of 50 (72%) breast carcinoma samples showed a significant increase in PIK3CA gene amplification. 12 out of 50 (24%) showed positive staining, and 38 out of 50 (76%) showed negative staining for PI3K p110α expression. We have identified no significant relationship between PIK3CA amplification, race (p= 0.630) and histological type (p=0. 731) in breast carcinoma, but correlation of PIK3CA amplification and age showed a significant relationship (p=0. 003) between them. No significant relationship has been identified in correlation of PI3K p110α protein expression compared to age (p=0. 284), race (p=0. 546) and histological type (p=0. 285). Amplification of PIK3CA was frequent in breast carcinoma and occurs in stages of breast carcinoma. Our result shows that there is a relationship between gene amplification and age in breast carcinoma. We suggest that PIK3CA is significant in breast tumorigenesis serve as a prevalent mechanism contributes to the oncogenic activation pathway of PIK3CA in breast cancer.
Breast cancer is the most common malignancy in women worldwide. The incidence of breast cancer in Malaysia is lower compared to international statistics, with peak occurrence in the age group between 50 to 59 years of age and mortality rates of 18.6%. Despite current diagnostic and prognostic methods, the outcome for individual subjects remain poor. This is in part due to breast cancers' wide genetic heterogeneity. Various platforms for genetics studies are now employed to determine the identity of these genetic abnormalities, including microarray methods like high density single-nucleotide-polymorphism (SNP) oligonucleotide arrays which combine the power of chromosomal comparative genomic hybridization (cCGH) and loss of heterozygosity (LOH) in the offering of higher-resolution mappings. These platforms and their applications in highlighting the genomic alteration frameworks manifested in breast carcinoma will be discussed.
Understanding the mechanisms of gene regulation during breast cancer is one of the most difficult problems among oncologists because this regulation is likely comprised of complex genetic interactions. Given this complexity, a computational study using the Bayesian network technique has been employed to construct a gene regulatory network from microarray data. Although the Bayesian network has been notified as a prominent method to infer gene regulatory processes, learning the Bayesian network structure is NP hard and computationally intricate. Therefore, we propose a novel inference method based on low-order conditional independence that extends to the case of the Bayesian network to deal with a large number of genes and an insufficient sample size. This method has been evaluated and compared with full-order conditional independence and different prognostic indices on a publicly available breast cancer data set. Our results suggest that the low-order conditional independence method will be able to handle a large number of genes in a small sample size with the least mean square error. In addition, this proposed method performs significantly better than other methods, including the full-order conditional independence and the St. Gallen consensus criteria. The proposed method achieved an area under the ROC curve of 0.79203, whereas the full-order conditional independence and the St. Gallen consensus criteria obtained 0.76438 and 0.73810, respectively. Furthermore, our empirical evaluation using the low-order conditional independence method has demonstrated a promising relationship between six gene regulators and two regulated genes and will be further investigated as potential breast cancer metastasis prognostic markers.
Breast cancer is the most common cancer among Malaysian women. This study aimed to determine the reproductive for premenopausal breast cancer risk in Kuala Lumpur, Malaysia. A case-control study was conducted in 216 histopathologically confirmed cases of premenopausal breast cancer and 216 community-based controls that were matched by age within a 5-year period and ethnicity. The results of this study showed that premenopausal breast cancer risks were strongly related to parity, number of live births and family history of breast cancer. Premenopausal women with these known reproductive and family history risk factors should take extra measures to undergo appropriate screening method for early detection of breast cancer.
To determine the association between histological grade of tumour and estrogen progesterone receptors (ER/PR) expression in unselected invasive carcinoma of breast in Malaysian patients.
The C1772T, G1790A and C111A polymorphisms of Hypoxia-inducible factor-1alpha (HIF-1alpha) gene were analyzed in a hospital-based Malaysian population using PCR-RFLP method. Genomic DNA was extracted from the blood samples collected from 410 breast cancer patients and 275 normal and healthy women. We investigated the association between HIF-1alpha polymorphisms and breast cancer risk, and clinico-pathological parameters in the population. The genotype and allele frequencies of C1772T (P=0.0093 vs P=0.0024) polymorphism were significantly different between the breast cancer cases and normal subjects but similar association was not observed for G1790A (P>0.05) and C111A (P>0.05) polymorphisms, respectively. Women who were CT heterozygotes (OR=1.51; 95% CI, 1.01-2.25), TT homozygotes (OR=4.03; 95% CI, 1.09-17.60) and carriers of T allele genotype (OR=1.65; 95% CI, 1.13-2.43) were significantly associated with increased risk of breast cancer. Significant relationship was observed also between T allele and breast cancer risk (OR=1.69; 95% CI, 1.20-2.40). Clinico-pathological analysis showed that 1772T allele genotype was significantly associated with nodal metastases (P=0.0478) but independent of ER status, tumor grade and patients' age (P>0.05). Our observations suggest that the polymorphic allele of C1772T may be associated with increased risk of developing breast cancer, and presence of 1772T allele may be a useful genetic marker for tumor prognosis.
The genotype analysis of the Gly and Arg allele at codon 388 of fibroblast growth factor receptor-4 (FGFR4) gene was evaluated using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method in a hospital-based Malaysian population. Peripheral blood samples were collected from 387 breast cancer patients and 252 normal and healthy women who had no history of any malignancy. The aim of the present study was to evaluate the association between the FGFR4 Gly388Arg polymorphism and breast cancer risk as well as clinicopathological parameters of the patients. The Gly/Gly, Gly/Arg, Arg/Arg, and Arg allele genotypes were detected in 46.3%, 44.4%, 9.3%, and 53.7% of breast cancer cases, respectively. The distribution of genotype (p = 0.204) and allele (p = 0.086) frequencies of FGFR4 polymorphism were not significantly different between the breast cancer cases and normal individuals. Women who were Arg/ Arg homozygotes (OR = 1.714, 95% CI 0.896-3.278), Gly/Arg heterozygotes (OR = 1.205, 95% CI 0.863-1.683), carriers of Arg allele genotype (OR = 1.269, 95% CI 0.921-1.750), or Arg allele (OR = 1.246, 95% CI 0.970-1.602) were not associated with breast cancer risk. The Arg allele genotype was significantly associated with lymph node metastases (p = 0.001) but not with other clinicopathological parameters. Our findings suggest that the polymorphic variant at codon 388 of FGFR4 gene does not confer increased risk to breast cancer development but it may be a potential genetic marker for tumor prognosis.
Somatic mutations of phosphoinositide-3-kinase, catalytic, alpha; PIK3CA gene have been reported in several types of human cancers. The majority of the PIK3CA mutations map to the three "hot spots" - E542 K and E545 K in the helical (exon 9) and H1047R in the kinase (exon 20) domains of the p110alpha. These hot spot mutations lead to a gain of function in PI3 K signaling. We aimed to determine the frequency of PIK3CA mutations in the three most common Malaysian cancers. In this study, we assessed the genetic alterations in the PIK3CA gene in a series of 20 breast carcinomas, 24 colorectal carcinomas, 27 nasopharyngeal carcinomas (NPC), and 5 NPC cell lines. We performed mutation analysis of the PIK3CA gene by genomic polymerase chain reaction (PCR) and followed by DNA direct sequencing in exons 9 and 20. No mutations were detected in any of the 24 colorectal and 27 NPC samples, but one hot spot mutation located at exon 20 was found in a NPC cell line, SUNE1. Interestingly, PIK3CA somatic mutations were present in 6/20 (30%) breast carcinomas. Two of the six mutations, H1047R, have been reported previously as a hot spot mutation. Only one out of three hot spot mutations were identified in breast tumor samples. The remaining four mutations were novel. Our data showed that a higher incidence rate of PIK3CA mutations was present in Malaysian breast cancers as compared to colorectal and nasopharyngeal tumor tissues. Our findings also indicate that PIK3CA mutations play a pivotal role in activation of the PI3 K signaling pathway in breast cancer, and specific inhibitors of PIK3CA could be useful for breast cancer treatment in Malaysia.
INTRODUCTION: An important risk factor for developing breast cancer is a positive family history of breast cancer. In Malaysia, there is no population-based breast screening programme, but the clinical practice guidelines suggest increased surveillance for those with a positive family history ie mammography for those 40 years old and above, breast self-examination and clinical breast examination yearly.
OBJECTIVE: To determine if women with a family history of breast cancer present with earlier stages of disease.
METHODOLOGY: From Jan 2001 to Dec 2006, 1553 women with breast cancer presenting to the University Malaya, where family history was recorded, were eligible for this study. Women with a first or second degree relative with breast cancer were compared with those who have no family history with regard to their race, age, stage, size and duration of symptoms. The Chi Square test of significance was used for analysis.
RESULTS: Out of 1553 patients, 252 (16.2%) were found to have a relative with breast cancer out of which 174 (11.2%) had at least one affected first degree relative. There were no significant difference in the incidence of positive family history between the Malays, Chinese and Indians. 20% below the age of 40 years old had a positive family history compared with 12.6% in women with no family history. (p<0.05). There was no significant difference in stage at diagnosis between those with and without family history, ie 24.2% late stages (Stage 3 and 4) in the group with no family history compared with 21.8% in the group with family history. (p>0.05). The mean size in the group with no family history was 4.4 cm compared to 4.1 cm in the group with family history. There was a significant difference in screen-detected cancers in the women with family history, 10.7% compared with 5.1% of screen-detected cancers in the group without a family history. However there was no difference in the duration of symptoms between the 2 groups--25.8% in the women without a family history presented after 1 year of symptoms compared with 22.4% in the group with a family history (p>0.05).
CONCLUSION: Having a family history of breast cancer does not appear to have much impact on the health-seeking behavior of women. Even though there were more screen detected cancers, these comprised only 10% of the group with family history. Public education should target women at risk ie with family history to encourage these women to present earlier and to undergo screening for breast cancer.
The p53 gene is a tumour suppressor gene that encodes a 393-amino-acid nuclear DNA-binding phosphoprotein. The significance of p53 detection is that p53 mutation is linked with chemo-resistance and transformation to more aggressive disease in a large number of tumour types and it was confirmed that mutant p53 is involved in neoplastic transformations. In addition, the expression of p53 has been closely correlated with clinicopathological findings. Since breast cancer has been reported as one of the most frequent malignancies in women in Malaysia, the expression of p53 was studied in 382 cases of invasive ductal carcinoma of the breast, obtained from three major hospitals in the North-East States of Malaysia. The study utilized an enzyme immunohistochemistry assay for the detection of p53. It was found that p53 was expressed in 29.6% of all the study cases. Furthermore, its expression was significantly correlated with the age and the clinical grading of the disease. No significant statistical correlations were depicted with lymph node status, tumour size, side of tumour, and expression of estrogen and progesterone receptors. Nevertheless, knowledge of the p53 status may be valuable in making clinical decisions regarding diagnosis, prognosis and therapy.