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Fulltext Curcumin: the spicy modulator of breast carcinogenesis

Banik U, Parasuraman S, Adhikary AK, Othman NH

J Exp Clin Cancer Res, 2017 Jul 19;36(1):98.
PMID: 28724427 DOI: 10.1186/s13046-017-0566-5

Worldwide breast cancer is the most common cancer in women. For many years clinicians and the researchers are examining and exploring various therapeutic modalities for breast cancer. Yet the disease has remained unconquered and the quest for cure is still going on. Present-day strategy of breast cancer therapy and prevention is either combination of a number of drugs or a drug that modulates multiple targets. In this regard natural products are now becoming significant options. Curcumin exemplifies a promising natural anticancer agent for this purpose. This review primarily underscores the modulatory effect of curcumin on the cancer hallmarks. The focus is its anticancer effect in the complex pathways of breast carcinogenesis. Curcumin modulates breast carcinogenesis through its effect on cell cycle and proliferation, apoptosis, senescence, cancer spread and angiogenesis. Largely the NFkB, PI3K/Akt/mTOR, MAPK and JAK/STAT are the key signaling pathways involved. The review also highlights the curcumin mediated modulation of tumor microenvironment, cancer immunity, breast cancer stem cells and cancer related miRNAs. Using curcumin as a therapeutic and preventive agent in breast cancer is perplexed by its diverse biological activity, much of which remains inexplicable. The information reviewed here should point toward potential scope of future curcumin research in breast cancer.

Matched MeSH terms: Breast Neoplasms/pathology
Fulltext Bone mineral density and breast cancer risk factors among premenopausal and postmenopausal women: A systematic review

Zain NM, Seriramulu VP, Chelliah KK

Asian Pac J Cancer Prev, 2016;17(7):3229-34.
PMID: 27509955

BACKGROUND: Bone mineral density (BMD) is a lifetime marker of estrogen in a woman's body and has been associated with increased breast cancer risk. Nonetheless the actual association is still debatable. Furthermore, estrogen is very crucial in maintaining human bone density and gradually decreases over age. A systematic search was conducted to assess any association of BMD with breast cancer risk factors among premenopausal and postmenopausal women.

MATERIALS AND METHODS: Review identification was performed through databases searching on MEDLINE, CINAHL and SCOPUS and 19 qualified studies were elected. The keywords used were "bone mineral density", "breast cancer", and "breast density".

RESULTS: A total of 19 articles showed variation with the majority of the studies focused on postmenopausal and a few focused on premenopausal women. Overall there was no concensus on effects.

CONCLUSIONS: An enormous effort is being undertaken by researchers to prove that BMD might be one of the significant risk factors for breast cancer.

Matched MeSH terms: Breast Neoplasms/pathology
Fulltext Breast Cancer Detection Using Infrared Thermal Imaging and a Deep Learning Model

Mambou SJ, Maresova P, Krejcar O, Selamat A, Kuca K

Sensors (Basel), 2018 Aug 25;18(9).
PMID: 30149621 DOI: 10.3390/s18092799

Women's breasts are susceptible to developing cancer; this is supported by a recent study from 2016 showing that 2.8 million women worldwide had already been diagnosed with breast cancer that year. The medical care of a patient with breast cancer is costly and, given the cost and value of the preservation of the health of the citizen, the prevention of breast cancer has become a priority in public health. Over the past 20 years several techniques have been proposed for this purpose, such as mammography, which is frequently used for breast cancer diagnosis. However, false positives of mammography can occur in which the patient is diagnosed positive by another technique. Additionally, the potential side effects of using mammography may encourage patients and physicians to look for other diagnostic techniques. Our review of the literature first explored infrared digital imaging, which assumes that a basic thermal comparison between a healthy breast and a breast with cancer always shows an increase in thermal activity in the precancerous tissues and the areas surrounding developing breast cancer. Furthermore, through our research, we realized that a Computer-Aided Diagnostic (CAD) undertaken through infrared image processing could not be achieved without a model such as the well-known hemispheric model. The novel contribution of this paper is the production of a comparative study of several breast cancer detection techniques using powerful computer vision techniques and deep learning models.

Matched MeSH terms: Breast Neoplasms/pathology
Fulltext Feasibility of Patient Navigation to Improve Breast Cancer Care in Malaysia

Yeoh ZY, Jaganathan M, Rajaram N, Rawat S, Tajudeen NA, Rahim N, et al.

J Glob Oncol, 2018 11;4:1-13.
PMID: 30398950 DOI: 10.1200/JGO.17.00229

PURPOSE: Late stage at presentation and poor adherence to treatment remain major contributors to poor survival in low- and middle-income countries (LMICs). Patient navigation (PN) programs in the United States have led to improvement in diagnostic or treatment timeliness, particularly for women in lower socioeconomic classes or minority groups. To date, studies of PN in Asia have been limited. We aimed to assess the feasibility of PN in a state-run hospital in an LMIC and to report the impact on diagnostic and treatment timeliness for patients in its first year of implementation.
METHODS: We established PN in a dedicated breast clinic of a Malaysian state-run hospital. We compared diagnostic and treatment timeliness between navigated patients (n = 135) and patients diagnosed in the prior year (n = 148), and described factors associated with timeliness.
RESULTS: Women with PN received timely mammography compared with patients in the prior year (96.4% v 74.4%; P < .001), biopsy (92.5% v 76.1%; P = .003), and communication of news (80.0% v 58.5%; P < .001). PN reduced treatment default rates (4.4% v 11.5%; P = .048). Among navigated patients, late stage at presentation was independently associated with having emotional and language barriers ( P = .01). Finally, the main reason reported for delay, default, or refusal of treatment was the preference for alternative therapy.
CONCLUSION: PN is feasible for addressing barriers to cancer care when integrated with a state-run breast clinic of an LMIC. Its implementation resulted in improved diagnostic timeliness and reduced treatment default. Wider adoption of PN could be a key element of cancer control in LMICs.

Matched MeSH terms: Breast Neoplasms/pathology
Fulltext Association between MIR499A rs3746444 polymorphism and breast cancer susceptibility: a meta-analysis

Tan SC, Lim PY, Fang J, Mokhtar MFM, Hanif EAM, Jamal R

Sci Rep, 2020 Feb 26;10(1):3508.
PMID: 32103099 DOI: 10.1038/s41598-020-60442-3

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.

Matched MeSH terms: Breast Neoplasms/pathology*
Targeting the ERK1/2 and p38 MAPK pathways attenuates Golgi tethering factor golgin-97 depletion-induced cancer progression in breast cancer

Liu YC, Lin TJ, Chong KY, Chen GY, Kuo CY, Lin YY, et al.

Cell Commun Signal, 2025 Jan 13;23(1):22.
PMID: 39800687 DOI: 10.1186/s12964-024-02010-0

BACKGROUND: The Golgi apparatus is widely considered a secretory center and a hub for different signaling pathways. Abnormalities in Golgi dynamics can perturb the tumor microenvironment and influence cell migration. Therefore, unraveling the regulatory network of the Golgi and searching for pharmacological targets would facilitate the development of novel anticancer therapies. Previously, we reported an unconventional role for the Golgi tethering factor golgin-97 in inhibiting breast cell motility, and its downregulation was associated with poor patient prognosis. However, the specific role and regulatory mechanism of golgin-97 in cancer progression in vivo remain unclear.
METHODS: We integrated genetic knockout (KO) of golgin-97, animal models (zebrafish and xenograft mice), multi-omics analysis (next-generation sequencing and proteomics), bioinformatics analysis, and kinase inhibitor treatment to evaluate the effects of golgin-97 KO in triple-negative breast cancer cells. Gene knockdown and kinase inhibitor treatment followed by qRT‒PCR, Western blotting, cell viability, migration, and cytotoxicity assays were performed to elucidate the mechanisms of golgin-97 KO-mediated cancer invasion. A xenograft mouse model was used to investigate cancer progression and drug therapy.
RESULTS: We demonstrated that golgin-97 KO promoted breast cell metastasis in zebrafish and xenograft mouse models. Multi-omics analysis revealed that the Wnt signaling pathway, MAPK kinase cascades, and inflammatory cytokines are involved in golgin-97 KO-induced breast cancer progression. Targeting the ERK1/2 and p38 MAPK pathways effectively attenuated golgin-97-induced cancer cell migration, reduced the expression of inflammatory mediators, and enhanced the chemotherapeutic effect of paclitaxel in vitro and in vivo. Specifically, compared with the paclitaxel regimen, the combination of ERK1/2 and p38 MAPK inhibitors significantly prevented lung metastasis and lung injury. We further demonstrated that hypoxia is a physiological condition that reduces golgin-97 expression in cancer, revealing a novel and potential feedback loop between ERK/MAPK signaling and golgin-97.
CONCLUSION: Our results collectively support a novel regulatory role of golgin-97 in ERK/MAPK signaling and the tumor microenvironment, possibly providing new insights for anti-breast cancer drug development.

Matched MeSH terms: Breast Neoplasms/pathology; Triple Negative Breast Neoplasms/pathology
Tocotrienols Modulate Breast Cancer Secretomes and Affect Cancer-Signaling Pathways in MDA-MB-231 Cells: A Label-Free Quantitative Proteomic Analysis

Ramdas P, Radhakrishnan AK, Abdu Sani AA, Abdul-Rahman PS

Nutr Cancer, 2019;71(8):1263-1271.
PMID: 31084432 DOI: 10.1080/01635581.2019.1607407

Tocotrienols (T3), a family of vitamin E, are reported to possess potent anti-cancer effects but the molecular mechanisms behind these effects still remain unclear. The aim of this study was to investigate how T3 exert anti-cancer effects on MDA-MB-231 human breast cancer cells. The MDA-MB-231 cells were chosen for this study as they are triple-negative and highly metastatic cells, which form aggressive tumors in experimental models. The MDA-MB-231 cells were treated with varying concentrations (0-20 µg mL-1) of gamma (γ) or delta (δ) T3 and the secretome profiles of these cells treated with half maximal inhibitory concentration (IC50) of γT3 (5.8 µg mL-1) or δT3 (4.0 µg mL-1) were determined using label-free quantitative proteomic strategy. A total of 103, 174 and 141 proteins were identified with ProteinLynx Global Server (PLGS) score of more than 200 and above 25% sequence coverage in the untreated control and T3-treated cell culture supernatant respectively. A total of 18 proteins were dysregulated between untreated control and T3 (δT3 or γT3) treated conditions. The results showed that T3 treatment downregulated the exogenous Cathepsin D and Serpine1 proteins but upregulated Profilin-1 protein, which play a key role in breast cancer in the MDA-MB-231 cells. These findings strongly suggest that T3 may induce differential expression of secreted proteins involved in the cytoskeletal regulation of RHO GTPase signaling pathway.

Matched MeSH terms: Breast Neoplasms/pathology; Triple Negative Breast Neoplasms/pathology
Fulltext Cytotoxic and radiosensitising effects of a novel thioredoxin reductase inhibitor in breast cancer

Abdullah NA, Inman M, Moody CJ, Storr SJ, Martin SG

Invest New Drugs, 2021 10;39(5):1232-1241.
PMID: 33768386 DOI: 10.1007/s10637-021-01106-5

Radiotherapy is an effective treatment modality for breast cancer but, unfortunately, not all patients respond fully with a significant number experiencing local recurrences. Overexpression of thioredoxin and thioredoxin reductase has been reported to cause multidrug and radiation resistance - their inhibition may therefore improve therapeutic efficacy. Novel indolequinone compounds have been shown, in pancreatic cancer models, to inhibit thioredoxin reductase activity and exhibit potent anticancer activity. The present study evaluates, using in vitro breast cancer models, the efficacy of a novel indolequinone compound (IQ9) as a single agent and in combination with ionising radiation using a variety of endpoint assays including cell proliferation, clonogenic survival, enzyme activity, and western blotting. Three triple-negative breast cancer (MDA-MB-231, MDA-MB-468, and MDA-MB-436) and two luminal (MCF-7 and T47D) breast cancer cell lines were used. Results show that treatment with IQ9 significantly inhibited thioredoxin reductase activity, and inhibited cell growth and colony formation of breast cancer cells with IC50 values in the low micromolar ranges. Enhanced radiosensitivity of triple-negative breast cancer cells was observed, with sensitiser enhancement ratios of 1.20-1.43, but with no evident radiosensitisation of luminal breast cancer cell lines. IQ9 upregulated protein expression of thioredoxin reductase in luminal but not in triple-negative breast cancer cells which may explain the observed differential radiosensitisation. This study provides important evidence of the roles of the thioredoxin system as an exploitable radiobiological target in breast cancer cells and highlights the potential therapeutic value of indolequinones as radiosensitisers.***This study was not part of a clinical trial. Clinical trial registration number: N/A.

Matched MeSH terms: Breast Neoplasms/pathology*; Triple Negative Breast Neoplasms/pathology
Fulltext A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network

Salari N, Shohaimi S, Najafi F, Nallappan M, Karishnarajah I

PLoS One, 2014;9(11):e112987.
PMID: 25419659 DOI: 10.1371/journal.pone.0112987

Among numerous artificial intelligence approaches, k-Nearest Neighbor algorithms, genetic algorithms, and artificial neural networks are considered as the most common and effective methods in classification problems in numerous studies. In the present study, the results of the implementation of a novel hybrid feature selection-classification model using the above mentioned methods are presented. The purpose is benefitting from the synergies obtained from combining these technologies for the development of classification models. Such a combination creates an opportunity to invest in the strength of each algorithm, and is an approach to make up for their deficiencies. To develop proposed model, with the aim of obtaining the best array of features, first, feature ranking techniques such as the Fisher's discriminant ratio and class separability criteria were used to prioritize features. Second, the obtained results that included arrays of the top-ranked features were used as the initial population of a genetic algorithm to produce optimum arrays of features. Third, using a modified k-Nearest Neighbor method as well as an improved method of backpropagation neural networks, the classification process was advanced based on optimum arrays of the features selected by genetic algorithms. The performance of the proposed model was compared with thirteen well-known classification models based on seven datasets. Furthermore, the statistical analysis was performed using the Friedman test followed by post-hoc tests. The experimental findings indicated that the novel proposed hybrid model resulted in significantly better classification performance compared with all 13 classification methods. Finally, the performance results of the proposed model was benchmarked against the best ones reported as the state-of-the-art classifiers in terms of classification accuracy for the same data sets. The substantial findings of the comprehensive comparative study revealed that performance of the proposed model in terms of classification accuracy is desirable, promising, and competitive to the existing state-of-the-art classification models.

Matched MeSH terms: Breast Neoplasms/pathology
The kinase LMTK3 promotes invasion in breast cancer through GRB2-mediated induction of integrin β₁

Xu Y, Zhang H, Lit LC, Grothey A, Athanasiadou M, Kiritsi M, et al.

Sci Signal, 2014 Jun 17;7(330):ra58.
PMID: 24939894 DOI: 10.1126/scisignal.2005170

Lemur tyrosine kinase 3 (LMTK3) is associated with cell proliferation and endocrine resistance in breast cancer. We found that, in cultured breast cancer cell lines, LMTK3 promotes the development of a metastatic phenotype by inducing the expression of genes encoding integrin subunits. Invasive behavior in various breast cancer cell lines positively correlated with the abundance of LMTK3. Overexpression of LMTK3 in a breast cancer cell line with low endogenous LMTK3 abundance promoted actin cytoskeleton remodeling, focal adhesion formation, and adhesion to collagen and fibronectin in culture. Using SILAC (stable isotope labeling by amino acids in cell culture) proteomic analysis, we found that LMTK3 increased the abundance of integrin subunits α5 and β1, encoded by ITGA5 and ITGB1. This effect depended on the CDC42 Rho family guanosine triphosphatase, which was in turn activated by the interaction between LMTK3 and growth factor receptor-bound protein 2 (GRB2), an adaptor protein that mediates receptor tyrosine kinase-induced activation of RAS and downstream signaling. Knockdown of GRB2 suppressed LMTK3-induced CDC42 activation, blocked ITGA5 and ITGB1 expression promoted by the transcription factor serum response factor (SRF), and reduced invasive activity. Furthermore, abundance of LMTK3 positively correlated with that of the integrin β1 subunit in breast cancer patient's tumors. Our findings suggest a role for LMTK3 in promoting integrin activity during breast cancer progression and metastasis.

Matched MeSH terms: Breast Neoplasms/pathology*
Gene expression analysis in MCF-7 breast cancer cells treated with recombinant bromelain

Fouz N, Amid A, Hashim YZ

Appl Biochem Biotechnol, 2014 Aug;173(7):1618-39.
PMID: 24928548 DOI: 10.1007/s12010-014-0947-6

The contributing molecular pathways underlying the pathogenesis of breast cancer need to be better characterized. The principle of our study was to better understand the genetic mechanism of oncogenesis for human breast cancer and to discover new possible tumor markers for use in clinical practice. We used complimentary DNA (cDNA) microarrays to compare gene expression profiles of treated Michigan Cancer Foundation-7 (MCF-7) with recombinant bromelain and untreated MCF-7. SpringGene analysis was carried out of differential expression followed by Ingenuity Pathway Analysis (IPA), to understand the underlying consequence in developing disease and disorders. We identified 1,102 known genes differentially expressed to a significant degree (p<0.001) changed between the treatment. Within this gene set, 20 genes were significantly changed between treated cells and the control cells with cutoff fold change of more than 1.5. These genes are RNA-binding motif, single-stranded interacting protein 1 (RBMS1), ribosomal protein L29 (RPL29), glutathione S-transferase mu 2 (GSTM2), C15orf32, Akt3, B cell translocation gene 1 (BTG1), C6orf62, C7orf60, kinesin-associated protein 3 (KIFAP3), FBXO11, AT-rich interactive domain 4A (ARID4A), COPS2, TBPL1|SLC2A12, TMEM59, SNORD46, glioma tumor suppressor candidate region gene 2 (GLTSCR2), and LRRFIP. Our observation on gene expression indicated that recombinant bromelain produces a unique signature affecting different pathways, specific for each congener. The microarray results give a molecular mechanistic insight and functional effects, following recombinant bromelain treatment. The extent of changes in genes is related to and involved significantly in gap junction signaling, amyloid processing, cell cycle regulation by BTG family proteins, and breast cancer regulation by stathmin1 that play major roles.

Matched MeSH terms: Breast Neoplasms/pathology*
Fulltext Preclinical and clinical effects of mistletoe against breast cancer

Marvibaigi M, Supriyanto E, Amini N, Abdul Majid FA, Jaganathan SK

Biomed Res Int, 2014;2014:785479.
PMID: 25136622 DOI: 10.1155/2014/785479

Breast cancer is among the most frequent types of cancer in women worldwide. Current conventional treatment options are accompanied by side effects. Mistletoe is amongst the important herbal medicines traditionally used as complementary remedies. An increasing number of studies have reported anticancer activity of mistletoe extracts on breast cancer cells and animal models. Some recent evidence suggests that cytotoxic activity of mistletoe may be mediated through different mechanisms. These findings provide a good base for clinical trials. Various studies on mistletoe therapy for breast cancer patients revealed similar findings concerning possible benefits on survival time, health-related quality of life (HRQoL), remission rate, and alleviating adverse reactions to conventional therapy. This review provides an overview of the recent findings on preclinical experiments and clinical trials of mistletoe for its cytotoxic and antitumor activity and its effect on HRQoL in breast cancer patients. Moreover, studies investigating molecular and cellular mechanisms underlying antitumor activity of mistletoe are discussed in this paper. The analyzed trials provided evidence that there might be a combination of pharmacological and motivational aspects mediated by the mistletoe extract application which may contribute to the clinical benefit and positive outcome such as improved HRQoL and self-regulation in breast cancer patients.

Matched MeSH terms: Breast Neoplasms/pathology
Fulltext PIK3CA gene amplification and PI3K p110α protein expression in breast carcinoma

Firoozinia M, Zareian Jahromi M, Moghadamtousi SZ, Nikzad S, Abdul Kadir H

Int J Med Sci, 2014;11(6):620-5.
PMID: 24782652 DOI: 10.7150/ijms.8251

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.

Matched MeSH terms: Breast Neoplasms/pathology
Breast cancer detection from MR images through an auto-probing discrete Fourier transform system

Sim KS, Chia FK, Nia ME, Tso CP, Chong AK, Abbas SF, et al.

Comput Biol Med, 2014 Jun;49:46-59.
PMID: 24736203 DOI: 10.1016/j.compbiomed.2014.03.003

A computer-aided detection auto-probing (CADAP) system is presented for detecting breast lesions using dynamic contrast enhanced magnetic resonance imaging, through a spatial-based discrete Fourier transform. The stand-alone CADAP system reduces noise, refines region of interest (ROI) automatically, and detects the breast lesion with minimal false positive detection. The lesions are then classified and colourised according to their characteristics, whether benign, suspicious or malignant. To enhance the visualisation, the entire analysed ROI is constructed into a 3-D image, so that the user can diagnose based on multiple views on the ROI. The proposed method has been applied to 101 sets of digital images, and the results compared with the biopsy results done by radiologists. The proposed scheme is able to identify breast cancer regions accurately and efficiently.

Matched MeSH terms: Breast Neoplasms/pathology
Distinctive features of advancing breast cancer cells and interactions with surrounding stroma observed under the scanning electron microscope

Jaafar H, Sharif SE, Murtey MD

Asian Pac J Cancer Prev, 2012;13(4):1305-10.
PMID: 22799323

Breast cancer cells undergo transformation when they spread into surrounding tissues. Studies have shown that cancer cells undergo surface alterations and interact with the surrounding microenvironment during the invasion process. The aim of the present study was to analyse these cancer cell surface alterations and interactions of cancer cells and stroma. Twenty 1-methyl-1-nitrosourea-induced breast cancer samples taken from five rats were fixed in McDowell-Trump fixative and then washed in 0.1 M phosphate buffer. The samples were then treated with osmium tetroxide before being washed in distilled water and subsequently dehydrated through graded ethanols. The dehydrated samples were immersed in hexamethyldisilazane (HMDS), then following removal of excess HMDS, the samples were air dried at room temperature in a dessicator. The dried samples were mounted onto specimen stubs and coated with gold coater before being viewed under a scanning electron microscope. We detected the presence of membrane ruffles on the surface of cancer cells and the formation of unique surface membrane protrusions to enhance movement and adhesion to the surrounding stroma during the process of invasion. Advancing cancer cells demonstrated formation of lamellipodia and invadopodia. The stroma at the advancing edge was desmoplastic with many collagen fibres laid down near the cancer cells. Our data suggest that all of these abnormalities could act as hallmarks of invasiveness for breast cancer.

Matched MeSH terms: Breast Neoplasms/pathology*
Fulltext Review of stem cell deregulation and breast cancer: an emerging hypothesis

Kumar DH, Kutty MK

Indian J Pathol Microbiol, 2012 Apr-Jun;55(2):147-53.
PMID: 22771633 DOI: 10.4103/0377-4929.97842

Cancer is fundamentally a cellular genetic disease capable of transferring the "disease" to the next generation of mutated cells. Similar proliferative and information transferring capacity exists in the stem cells of various organ systems in the human body. Understanding the bio-mechanism of stem cell metabolism and its regulation by signaling molecules and extracellular micro-environment is an important step toward successful prevention and treatment of cancer. According to the cancer stem cell hypothesis, both hereditary and sporadic cancers can arise from deregulation of these cancer stem cells (CSCs), triggered by genetic and environmental factors. It is shown that deregulation of normal self-renewal pathways in undifferentiated breast stem cells or progenitor cells had altered mammary system or progenitor cells, resulting in abnormally differentiated cells in human and rodent breast cancer cell lines. Breakthroughs in molecular pathways have important therapeutic implications. Hence, significant stress is laid on targeting signaling molecules and their micromilieu in breast cancer therapy.

Matched MeSH terms: Breast Neoplasms/pathology*
Fulltext Development of multicellular tumor spheroid (MCTS) culture from breast cancer cell and a high throughput screening method using the MTT assay

Ho WY, Yeap SK, Ho CL, Rahim RA, Alitheen NB

PLoS One, 2012;7(9):e44640.
PMID: 22970274 DOI: 10.1371/journal.pone.0044640

In comparison to monolayer cells, MCTS has been claimed as more suitable candidate for studying drug penetration due to the high resemblance to solid tumors. However, the cultivation of MCTS is cumbersome, time consuming, and most technique fail to generate spheroids with uniform sizes. Therefore, the application of spheroid cultures in high throughput screening has been rather limiting. Besides, the lack of a well established screening protocol method that is applicable to spheroid could also be attributed to this limitation. Here we report a simple way of cultivating homogenous MCTS cultures with compact and rigid structure from the MCF-7 cells. Besides, we had also made some modifications to the standard MTT assay to realize high throughput screening of these spheroids. Using the modified protocol, tamoxifen showed cytotoxicity effect towards MCTS cultures from MCF-7 with high consistency. The results correlated well with the cultures' response assessed by LDH release assay but the latter assay was not ideal for detecting a wide range of cytotoxicity due to high basal background reading. The MTT assay emerged as a better indicator to apoptosis event in comparison to the LDH release assay. Therefore, the method for spheroid generation and the modified MTT assay we reported here could be potentially applied to high throughput screening for response of spheroid cultures generated from MCF-7 as well as other cancer cell lines towards cytotoxic stimuli.

Matched MeSH terms: Breast Neoplasms/pathology*
Fulltext The inference of breast cancer metastasis through gene regulatory networks

Ahmad FK, Deris S, Othman NH

J Biomed Inform, 2012 Apr;45(2):350-62.
PMID: 22179053 DOI: 10.1016/j.jbi.2011.11.015

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.

Matched MeSH terms: Breast Neoplasms/pathology
Fulltext The contribution of reproductive factors and family history towards premenopausal breast cancer risk in Kuala Lumpur, Malaysia

Razif SM, Sulaiman S, Hanie SS, Aina EN, Rohaizak M, Fuad I, et al.

Med J Malaysia, 2011 Aug;66(3):220-6.
PMID: 22111444 MyJurnal

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.

Matched MeSH terms: Breast Neoplasms/pathology
Fulltext Isolated late chest wall recurrence after mastectomy for breast cancer

Azrif M, Saladina JJ, Nani ML, Shahrunniza AS, Norlia A, Rohaizak M

Med J Malaysia, 2011 Aug;66(3):255-6.
PMID: 22111452 MyJurnal

An isolated late chest wall recurrence after mastectomy for breast cancer is rare. We present a case of a lady with a T2N1M0 right breast cancer who developed an isolated local recurrence on the chest wall 11 years after mastectomy. Staging investigations excluded distant metastases. She underwent an excisional biopsy and was started on an aromatase inhibitor. Radiotherapy was given to the chest wall followed by a boost to the site of excision. Although most chest wall recurrences fare poorly, a favourable subgroup can be identified and should be treated aggressively in a multidisciplinary approach.

Matched MeSH terms: Breast Neoplasms/pathology*

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