The role of vascular endothelial growth factor a polymorphisms in breast cancer

Anticancer Effects of Fucoxanthin through Cell Cycle Arrest, Apoptosis Induction, and Angiogenesis Inhibition in Triple-Negative Breast Cancer Cells

The absence of progesterone receptors, estrogen receptors, and human epidermal growth factor receptor-2 restricts the therapy choices for treating triple-negative breast cancer (TNBC). Moreover, conventional medication is not highly effective in treating TNBC, and developing effective therapeutic agents from natural bioactive compounds is a viable option. In this study, the anticancer effects of the natural compound fucoxanthin were investigated in two genetically different models of TNBC cells: MDA-MB-231 and MDA-MB-468 cells. Fucoxanthin had a significant anticancer effect in both cell lines at a concentration range of 1.56-300 µM. The compound decreased cell viability in both cell lines with higher potency in MDA-MB-468 cells. Meanwhile, proliferation assays showed similar antiproliferative effects in both cell lines after 48 h and 72 h treatment periods. Flow cytometry and Annexin V-FITC apoptosis assay revealed the ability of fucoxanthin to induce apoptosis in MDA-MB-231 only. Cell cycle arrest analysis showed that the compound also induced cell cycle arrest at the G1 phase in both cell lines, accompanied by more cell cycle arrest in MDA-MB-231 cells at S-phase and a higher cell cycle arrest in the MDA-MB-468 cells at G2-phase. Wound healing and migration assay showed that in both cell lines, fucoxanthin prevented migration, but was more effective in MDA-MB-231 cells in a shorter time. In both angiogenic cytokine array and RT-PCR studies, fucoxanthin (6.25 µM) downregulated VEGF-A and -C expression in TNF-α-stimulated (50 ng/mL) MDA-MB-231, but not in MDA-MB-468 cells on the transcription and protein levels. In conclusion, this study shows that fucoxanthin was more effective in MDA-MB-231 TNBC cells, where it can target VEGF-A and VEGF-C, inhibit cell proliferation and cell migration, and induce cell cycle arrest and apoptosis-the most crucial cellular processes involved in breast cancer development and progression.

GeNetOntology: identifying affected gene ontology terms via grouping, scoring, and modeling of gene expression data utilizing biological knowledge-based machine learning

Introduction: Identifying significant sets of genes that are up/downregulated under specific conditions is vital to understand disease development mechanisms at the molecular level. Along this line, in order to analyze transcriptomic data, several computational feature selection (i.e., gene selection) methods have been proposed. On the other hand, uncovering the core functions of the selected genes provides a deep understanding of diseases. In order to address this problem, biological domain knowledge-based feature selection methods have been proposed. Unlike computational gene selection approaches, these domain knowledge-based methods take the underlying biology into account and integrate knowledge from external biological resources. Gene Ontology (GO) is one such biological resource that provides ontology terms for defining the molecular function, cellular component, and biological process of the gene product. Methods: In this study, we developed a tool named GeNetOntology which performs GO-based feature selection for gene expression data analysis. In the proposed approach, the process of Grouping, Scoring, and Modeling (G-S-M) is used to identify significant GO terms. GO information has been used as the grouping information, which has been embedded into a machine learning (ML) algorithm to select informative ontology terms. The genes annotated with the selected ontology terms have been used in the training part to carry out the classification task of the ML model. The output is an important set of ontologies for the two-class classification task applied to gene expression data for a given phenotype. Results: Our approach has been tested on 11 different gene expression datasets, and the results showed that GeNetOntology successfully identified important disease-related ontology terms to be used in the classification model. Discussion: GeNetOntology will assist geneticists and scientists to identify a range of disease-related genes and ontologies in transcriptomic data analysis, and it will also help doctors design diagnosis platforms and improve patient treatment plans.

GP, Kumar SU, El Allali A, Alsamman AM, Zayed H. Integrated gene network analysis sheds light on understanding the progression of Osteosarcoma

Introduction

Osteosarcoma is a rare disorder among cancer, but the most frequently occurring among sarcomas in children and adolescents. It has been reported to possess the relapsing capability as well as accompanying collateral adverse effects which hinder the development process of an effective treatment plan. Using networks of omics data to identify cancer biomarkers could revolutionize the field in understanding the cancer. Cancer biomarkers and the molecular mechanisms behind it can both be understood by studying the biological networks underpinning the etiology of the disease.

Methods

In our study, we aimed to highlight the hub genes involved in gene-gene interaction network to understand their interaction and how they affect the various biological processes and signaling pathways involved in Osteosarcoma. Gene interaction network provides a comprehensive overview of functional gene analysis by providing insight into how genes cooperatively interact to elicit a response. Because gene interaction networks serve as a nexus to many biological problems, their employment of it to identify the hub genes that can serve as potential biomarkers remain widely unexplored. A dynamic framework provides a clear understanding of biological complexity and a pathway from the gene level to interaction networks.

Results

Our study revealed various hub genes viz. TP53, CCND1, CDK4, STAT3, and VEGFA by analyzing various topological parameters of the network, such as highest number of interactions, average shortest path length, high cluster density, etc. Their involvement in key signaling pathways, such as the FOXM1 transcription factor network, FAK-mediated signaling events, and the ATM pathway, makes them significant candidates for studying the disease. The study also highlighted significant enrichment in GO terms (Biological Processes, Molecular Function, and Cellular Processes), such as cell cycle signal transduction, cell communication, kinase binding, transcription factor activity, nucleoplasm, PML body, nuclear body, etc.

Conclusion

To develop better therapeutics, a specific approach toward the disease targeting the hub genes involved in various signaling pathways must have opted to unravel the complexity of the disease. Our study has highlighted the candidate hub genes viz. TP53, CCND1 CDK4, STAT3, VEGFA. Their involvement in the major signaling pathways of Osteosarcoma makes them potential candidates to be targeted for drug development. The highly enriched signaling pathways include FOXM1 transcription pathway, ATM signal-ling pathway, FAK mediated signaling events, Arf6 signaling events, mTOR signaling pathway, and Integrin family cell surface interactions. Targeting the hub genes and their associated functional partners which we have reported in our studies may be efficacious in developing novel therapeutic targets.

LncRNA MALAT1-related signaling pathways in osteosarcoma

Osteosarcoma (OS) is a common and malignant form of bone cancer, which affects children and young adults. OS is identified by osteogenic differentiation and metastasis. However, the exact molecular mechanism of OS development and progression is still unclear. Recently, long non-coding RNAs (lncRNA) have been proven to regulate OS proliferation and drug resistance. LncRNAs are longer than 200 nucleotides that represent the extensive applications in the processing of pre-mRNA and the pathogenesis of human diseases. Metastasis-associated lung adenocarcinoma transcript-1 (MALAT1) is a well-known lncRNA known as a transcriptional and translational regulator. The aberrant expression of MALAT1 has been shown in several human cancers. The high level of MALAT1 is involved in OS cell growth and tumorigenicity by targeting several signaling pathways and miRNAs. Hence, MALAT1 might be a suitable approach for OS diagnosis and treatment. In this review, we will summarize the role of lncRNA MALAT1 in the pathophysiology of OS.

In Vitro and In Vivo Comparative Analysis of Differentially Expressed Genes and Signaling Pathways in Breast Cancer Cells on Interaction with Mesenchymal Stem Cells

The interaction of breast cancer cells (BCC) with mesenchymal stem cells (MSC) plays a vital role in influencing the gene expression in breast cancer cells and thereby its uncontrolled proliferation, metastasis, and drug resistance. The extent of MSC governing the BCC or the extent of BCC influencing the MSC is a complex process, and the interaction strongly depends upon conditions such as the presence or absence of other cell types and in vivo tumor microenvironment or simple in vitro conditions. Hence, understanding this interaction through gene expression profiling may provide key insights about potential genes which can be targeted for breast cancer treatment. In the current study, in vitro microarray dataset and in vivo RNA-seq dataset of BCC on interaction with the MSC were downloaded from NCBI GEO database and analyzed for differentially expressed genes (DEGs), gene ontology (GO) term enrichment, and Reactome pathway analysis. To target the genes which have similar effect on both in vitro and in vivo, a comparative analysis was performed, 24 genes were commonly upregulated in both in vitro and in vivo datasets, while no common downregulated genes were observed. Out of which, 16 significant genes based upon fold change (logFC > 2) are identified for manipulating the interactions between MSC and BCC. Among them, 6 of the identified genes (FSTL1, LOX, SERPINE1, INHBA, FN1, and VEGFA) have already been reported to be upregulated in BCC on interaction with MSC by various studies. Further experiments need to be conducted to understand the role of remaining 10 identified genes (EFEMP1, IGFBP3, EDIL3, IFITM1, IGFBP4, ITGA5, SLC3A2, HRH1, PPP1R15A, and NNMT) in MSC-BCC interaction. In addition to the reported significant genes and its associated pathways, the expression of long non-coding RNA identified in this study may increase our understanding about the way MSC interacts with BCC and accelerate MSC-based treatment strategies for breast cancer.

Association between VEGF Gene Polymorphism -634G>C and Risk of Colorectal Cancer

BACKGROUND: Genetic and environmental factors play an important role in the pathogenesis of colorectal cancer. Angiogenesis is a central process in carcinogenesis and is affected by vascular endothelial growth factor (VEGF). Several genetic variations, such as polymorphism, may alter VEGF expression and influence the risk of colorectal cancer. AIM: The objective of this study was to determine the association between VEGF gene polymorphism -634G>C and risk of colorectal cancer. METHODS: A cross-sectional study was conducted at Haji Adam Malik general hospital and its sister hospitals. Subjects were obtained by consecutive sampling. Inclusion criteria for case and control groups were patients with colorectal cancer and healthy subject, respectively, aged 18 years or older and willing to participate in the study. Exclusion criteria were patients with systemic comorbidities or malignancies in other organs. Each subject undergoes an interview, colonoscopy, biopsy, serum VEGF level measurement, and VEGF polymorphism -634G>C evaluation. RESULTS: Eighty subjects were enrolled and distributed into case and control groups. Males were dominant in both groups, with a mean age of older than 55 years. Most lesions were in the rectum and 45% of subjects had moderately differentiated cancer. The median serum VEGF level in the case group was higher than the control group (2,175.1 pg/mL vs. 253 pg/mL; p < 0.001). VEGF gene polymorphism -634G > C was associated with the risk of colorectal cancer (p = 0.048). GG and GC genotypes had 1.89 times higher risk of colorectal cancer compared to the CC genotype. GG genotype and G allele had the highest serum VEGF levels. CONCLUSION: There is an association between VEGF gene polymorphism -634G>C and risk of colorectal cancer in this study.

The Anti-Colon Cancer Effects of Essential Oil of Curcuma phaeocaulis Through Tumour Vessel Normalisation

Background

Normalising tumour vessels had become a significant research focus in tumour treatment research in recent years. Curcumae rhizoma (CR) is an essential plant in traditional Chinese medicine as it promotes blood circulation and removes blood stasis. Similarly, CR improves local blood circulation.

Purpose

We explored the anti-colon cancer effects of essential oil from CR (OCR) by investigating its role in normalising tumour vessels. We also provided a basis for research and development into new anti-cancer drugs.

Methods

We used colon cancer as a research focus to investigate OCR. We established an in vitro co-culture model of colon cancer cells and human umbilical vein endothelial cells (HUVEC). We also established an in vivo subcutaneous implant colon cancer model in nude mice. These studies allowed us to evaluate the comprehensive effects of OCR in in vivo and in vitro colon cancer and its role in normalising tumour blood vessels.

Results

In vitro, we found that OCR inhibited Human colon cancer cells (HCT116) and HUVEC cell proliferation and inhibited vascular endothelial growth factor-a (VEGFa) mRNA and protein expression in HUVECs in a co-culture system. Our in vivo studies showed that OCR inhibited colon cancer tumour growth, reduced angiogenesis in tumours and increased vascular endothelial (VE)-cadherin and pericyte coverage in tumour vessels.

Conclusions

OCR inhibited colon cancer growth both in in vivo and in vitro models, reduced angiogenesis in tumours, improved tumour vessel structures and normalised tumour vessels.

Anti-vascular endothelial growth factor therapy in breast cancer: Molecular pathway, potential targets, and current treatment strategies

As the highest incidence of female malignancy, breast cancer is likewise the leading cause of cancer-related deaths. The development of cancer relies on neo-vascularization, which provides sufficient nutrition and oxygen, and supplies a pathway for distant metastasis. Angiogenesis represents the formation of new blood vessels, and is a principal pathogenetic action in breast cancer. Vascular endothelial growth factor (VEGF) is a major angiogenesis regulator that modulates the maintenance and function of mature vascular networks. Therefore, the VEGF pathway is a promising oncotherapeutic target. This review elaborates an update on the prognostic value of VEGF in breast cancer, summarizes clinical experience and lessons of anti-VEGF therapeutics, meanwhile, provides an overview of biomarkers that predict the effectiveness of anti-angiogenic treatment.

Decreased Inhibition of Proliferation and Induction of Apoptosis in Breast Cancer Cell Lines (T47D and MCF7) from Treatment with Conditioned Medium Derived from Hypoxia-Treated Wharton's Jelly MSCs Compared with Normoxia-Treated MSCs

Background: Mesenchymal stem cells (MSCs) are an appealing source of adult stem cells for cell therapy due to the high rate of proliferation, self-renewal capability, and applicable therapy. Wharton’s jelly (WJ), the main component of the umbilical cord extracellular matrix, comprises multipotent stem cells with a high proliferation rate and self-renewal capability and has anti-cancer properties. MSCs have been reported to secrete a variety of cytokines that have a cytotoxic effect in various cancers. Oxygen tension affects MSCs proliferation, cytokines level but no in surface markers expression, MSCs’ differentiation.

We explored the cytotoxic effect and inducing apoptosis of Wharton’s jelly derived mesenchymal stem cells (WJMSCs) secretions from normoxic WJMSCs (WJMSCs-norCM) (CM: conditioned medium) and hypoxic WJMSCs (WJMSCs-hypoCM) in breast cancer cell lines (T47D and MCF7).

Materials and Methods: Cytotoxic activity was determined using the MTS assay. RT-PCR was performed to measure the expression of apoptosis-inducing genes, specifically P53, BAX, and CASP9, and the antiapoptotic gene BCL-2.

Results: WJMSCs-norCM and WJMSCs-hypoCM were potent inhibitors of the proliferation in both cell lines. WJMSCs-norCM had more anticancer activity in T47D and MCF7. The IC₅₀ value of WJMSCs-norCM on MCF7 was 42.34%, and on T47D was 42.36%. WJMSCs-norCM significantly induced the gene expression of apoptotic P53, BAX, and CASP9 and insignificantly decreased the antiapoptotic gene BCL-2 in both MCF7 and T47D cells. WJMSCs-CM has anticancer activity by inducing P53, BAX, and CASP9 apoptotic genes.

Conclusion: WJMSCs-norCM has more anticancer activity than WJMSCs-hypoCM.

Expression of estrogen-, progesterone-, and androgen-responsive genes in MCF-7 and MDA-MB-231 cells treated with o,p'-DDT, p,p'-DDT, or endosulfan

Endocrine disruptors are a major concern due to their possible association with hormone-dependent carcinogenesis. Some examples of compounds with such properties are organochlorine pesticides (OCPs). OCPs are persistent pollutants with high lipophilicity, long half-life, and bioaccumulation potential. In the past, some of the most commonly used OCPs were dichlorodiphenyltrichloroethane (DDT) and endosulfan. Here, we investigated the effects of o,p'-DDT, p,p'-DDT, and endosulfan and of hormones estradiol, testosterone, and progesterone on the expression of estrogen, progesterone, and androgen receptors (ER, PR, and AR) and of their target genes (KLF4, VEGFA, CCND1, PRLR, CDKN1A, and BCL6) in MCF-7 and MDA-MB-231 cells. The results confirmed that under the action of the insecticides, there are dose- and time-dependent changes in the expression of these receptors and target genes. As corroborated by an experiment with ER, PR, and AR negative MDA-MB-231 cells, the change in the expression of KLF4, VEGFA, CCND1, and PRLR in MCF-7 cells treated with o,p'-DDT and the change in CDKN1A and PRLR expression in MCF-7 cells treated with p,p'-DDT are likely mediated by ER, PR, and AR pathways. In conclusion, we have identified some targets of DDT and endosulfan and confirmed that the effects of insecticides on the expression of these target genes differ for breast cancer cell lines with different receptor statuses.

Association between VEGF single nucleotide polymorphism and breast cancer in the Northern China Han population

PURPOSE

To investigate the associations of four commonly studied single nucleotide polymorphisms (SNP) of the vascular endothelial growth factor (VEGF), including -460T/C (rs833061), - 634G/C (rs2010963), - 2578C/A (rs699947), and +936T/C (rs3025039), with the incidence, aggressiveness, and tumor markers expression of breast cancer in the Northern China Han population.

METHODS

Followed the genomic DNA extraction, a total of 259 patients with breast cancer (case group) and 273 healthy women (control group) underwent genotyping by PCR-LDR SNP assays. The associations between VEGF gene polymorphisms and the incidence, aggressiveness, and tumor markers expression of breast cancer were analyzed.

RESULTS

Significant differences were observed in allele frequency and genotype distribution of - 634G/C between breast cancer cases and healthy controls (p = 0.006, 0.013). Individuals who carry the G allele more likely had a lower risk of breast cancer (OR, 0.866, 95% CI 0.782-0.959). Compared with CC genotype carriers, women who had the CG and GG genotypes demonstrated a relatively lower risk (OR, 0.860, 95% CI 0.757-0.978, p = 0.022; OR, 0.778, 95% CI, 0.656-0.924, p = 0.004, respectively). When we stratified the group of patients according to the status of tumor markers, a significant association of - 634G/C SNP and Ki-67 expression was observed. The CC genotype carriers were more likely to be characterized by high expression of Ki-67 (p = 0.031). Further analysis showed that the - 460T/-634C/-2578C/+936C haplotype was more associated with a higher risk of breast cancer (OR, 1.445, 95% CI 1.123-1.859, p = 0.004), whereas the - 460T/- 634G/- 2578C/+936C one was associated with a lower risk (OR, 0.736, 95% CI 0.563-0.963, p = 0.025).

CONCLUSIONS

In the present study, we concluded that VEGF gene - 634G/C polymorphism is related to the incidence of breast cancer in the Han population in Northern China and also might be associated with tumor proliferation index Ki-67.

Patterns of de-novo metastasis and breast cancer-specific mortality by race and molecular subtype in the SEER population-based dataset

PURPOSE

To examine patterns of de-novo metastases (mets) and association with breast cancer-specific mortality across subtypes and racial groups.

METHODS

Non-Hispanic (NH) Black and NH-White patients ages 40 years and older with primary breast cancer (BC) between 2010 and 2015 were examined. Multilevel logistic regression and Cox proportional hazards models were used to assess (1) odds of de-novo mets to specific sites by subtype, and (2) association of subtype with risk of BC mortality among patients with de-novo mets by race.

RESULTS

A total of 204,941 BC patients were included in analysis. The most common de-novo mets site was to the bone, and overall prevalence of de-novo mets was higher among NH-Black (6.4%) versus NH-White (4.1%) patients. The odds of de-novo mets to any site were lower for TNBC (OR 0.68, 95% CI 0.62-0.73) and HR+/HER2- (OR 0.50, 95% CI 0.47-0.53) subtypes, but higher for HR-/HER2+ (OR 1.16, 95% CI 1.06-1.28) relative to HR+/HER2+ . De-novo mets to the brain only was associated with the highest mortality risk across all subtypes, ranging from a 13-fold increase (hazard ratio 13.45, 95% CI 5.03-35.96) for HR-/HER2+ to a 39-fold increase (hazard ratio 39.04, 95% CI 26.2-58.14) for HR+/HER2-.

CONCLUSION

Site and fatality of de-novo mets vary by subtype and by race. This information may help improve risk stratification and post-diagnostic surveillance to ultimately reduce BC mortality.

The Tumor Microenvironment of Primitive and Metastatic Breast Cancer: Implications for Novel Therapeutic Strategies

Breast cancer evolves thanks to a dense and close interaction with the surrounding tumor microenvironment (TME). Fibroblasts, leukocytes, blood and lymphatic endothelial cells and extracellular matrix are the constituents of this entity, and they synergistically play a pivotal role in all of the stages of breast cancer development, from its onset to its metastatic spread. Moreover, it has been widely demonstrated that variations to the TME can correspond to prognosis variations. Breast cancer not only modulates the transformation of the environment within the mammary gland, but the same process is observed in metastases as well. In this minireview, we describe the features of TME within the primitive breast cancer, throughout its evolution and spread into the main metastatic sites.

A Comparison Between the Online Prediction Models CancerMath and PREDICT as Prognostic Tools in Thai Breast Cancer Patients

Background and Purpose

Web-based prognostic calculators have been developed to inform about the use of adjuvant systemic treatments in breast cancer. CancerMath and PREDICT are two examples of web-based prognostic tools that predict patient survival up to 15 years after an initial diagnosis of breast cancer. The aim of this study is to validate the use of CancerMath and PREDICT as prognostic tools in Thai breast cancer patients.

Patients and Methods

A total of 615 patients who underwent surgical treatment for stage I to III breast cancer from 2003 to 2011 at the Division of Head Neck and Breast Surgery, Department of Surgery, Siriraj Hospital, Mahidol University, Thailand were recruited. A model-predicted overall survival rate (OS) and the actual OS of the patients were compared. The efficacy of the model was evaluated using receiver-operating characteristic (ROC) analysis.

Results

For CancerMath, the predicted 5-year OS was 88.9% and the predicted 10-year OS was 78.3% (p<0.001). For PREDICT, the predicted 5-year OS was 83.1% and the predicted 10-year OS was 72.0% (p<0.001). The actual observed 5-year OS was 90.8% and the observed 10-year OS was 82.6% (p<0.001). CancerMath demonstrated better predictive performance than PREDICT in all subgroups for both 5- and 10-year OS. In addition, there was a marked difference between CancerMath and observed survival rates in patients who were older as well as patients who were stage N3. The area under the ROC curve for 5-year OS in CancerMath and 10-year OS was 0.74 (95% CI; 0.65-0.82) and 0.75 (95% CI; 0.68-0.82). In the PREDICT group, the area under the ROC curve for 5-year OS was 0.78 (95% CI; 0.71-0.85) and for 10-year OS, it was 0.78 (95% CI; 0.71-0.84).

Conclusion

CancerMath and PREDICT models both underestimated the OS in Thai breast cancer patients. Thus, a novel prognostic model for Thai breast cancer patients is required.

Hypnosis in Women with Breast Cancer: Its Effects on Cytokines

The aim of the present study was to evaluate the effects of hypnosis on the cytokine levels of women with breast cancer during chemotherapy. Patients with a recent breast cancer diagnosis were assigned to either a control group (n = 20) or to a hypnosis group (n = 20). The control group received standard medical care, while the hypnosis group received 24 sessions of hypnosis over 6 months as an adjuvant therapy to standard medical care. Three blood samples were obtained, one before the initiation of chemotherapy, the second a month after beginning treatment, and the third at the end of treatment. At the end of chemotherapy treatment, the control group showed significantly higher levels of tumor necrosis factor alpha (TNF-α) and granulocyte colony stimulation factor (G-CSF) compared to the hypnosis group. Stabilized G-CSF and TNF-α levels during chemotherapy in the hypnosis group could be considered as beneficial because high levels of these cytokines have been associated with increased levels of tumor growth and metastasis in cancer patients.

Addition of docosahexaenoic acid synergistically enhances the efficacy of apatinib for triple-negative breast cancer therapy

The current study aimed to investigate the antitumor and antiangiogenesis effects of apatinib in triple-negative breast cancer in vitro and also whether the combination of docosahexaenoic acid (DHA) and apatinib is more effective than apatinib monotherapy. The cell counting kit-8 assay was used to measure cell proliferation. Flow cytometry was utilized to determine the cell apoptosis rate. A wound healing assay was utilized to assess cell migration. Western blot analysis was carried out to determine the effects of apatinib and DHA on Bcl-2, BAX, cleaved caspase-3, caspase-3, phosphorylated protein kinase B (p-Akt), and Akt expression. DHA in combination with apatinib showed enhanced inhibitory effects on cell proliferation and migration compared with apatinib or DHA monotherapy. Meanwhile, DHA combined with apatinib strongly increased the cell apoptosis percentage. DHA was observed to enhance the antitumor and antiangiogenesis effects of apatinib via further downregulation of p-Akt expression.Abbreviations: FITC: fluorescein isothiocyanate; PI: propidium iodide.

Prognostic evaluation of VEGFA genotypes and haplotypes in a cohort of Brazilian women with non metastatic breast cancer

Vascular Endothelial Growth Factor (VEGF) mediates angiogenesis, which is crucial for tumor development and progression. The present study aimed to evaluate the impact of VEGFA gene polymorphisms rs699947, rs833061, rs1570360, rs2010963 and rs3025039 on breast cancer features and prognosis. A cohort of Brazilian women (N = 1038) with unilateral non-metastatic breast cancer was evaluated. The association between VEGFA polymorphisms and histopathological features or pathological complete response (pCR) to neoadjuvant chemotherapy was evaluated by the Chi-square test, with calculation of the respective odds ratio (OR) and 95% confidence intervals (95% CI). The impact of individual categories on disease-free survival was evaluated using Kaplan-Meier curves and multivariate Cox proportional hazards regression models for calculation of adjusted hazard ratios (HRadjusted). Variant genotypes of rs699947 (CA + AA) were significantly associated with high-grade (G2 + G3) tumors (OR = 1.82; 95% CI = 1.15 - 2.89), and with shorter disease-free survival among patients treated with neoadjuvant chemotherapy followed by mastectomy (HRadjusted = 1.82; 95% CI = 1.16 - 2.86). Variant genotypes of rs833061 (TC + CC) were significantly associated with high-grade (G2 + G3) tumors (OR = 1.79; 95% CI = 1.12 - 2.84) and with positive lymph node status (OR = 1.34; 95% CI = 1.01 - 1.77), but showed no independent effect on disease-free survival. Variant haplotypes (*2 to *5) appear to favor pCR (OR = 7.1; 95% CI = 1.7 - 30.1). VEGFA genotyping may add to prognostic evaluation of breast cancer, with rs699947 being the most likely to contribute.

MicroRNA-34a: A Key Regulator in the Hallmarks of Renal Cell Carcinoma

Renal cell carcinoma (RCC) incidence has increased over the past two decades. Recent studies reported microRNAs as promising biomarkers for early cancer detection, accurate prognosis, and molecular targets for future treatment. This study aimed to evaluate the expression levels of miR-34a and 11 of its bioinformatically selected target genes and proteins to test their potential dysregulation in RCC. Quantitative real-time PCR for miR-34a and its targets; MET oncogene; gene-regulating apoptosis (TP53INP2 and DFFA); cell proliferation (E2F3); and cell differentiation (SOX2 and TGFB3) as well as immunohistochemical assay for VEGFA, TP53, Bcl2, TGFB1, and Ki67 protein expression have been performed in 85 FFPE RCC tumor specimens. Clinicopathological parameter correlation and in silico network analysis have also implicated. We found RCC tissues displayed significantly higher miR-34a expression level than their corresponding noncancerous tissues, particularly in chromophobic subtype. MET and E2F3 were significantly upregulated, while TP53INP2 and SOX2 were downregulated. ROC analysis showed high diagnostic performance of miR-34a (AUC = 0.854), MET (AUC = 0.765), and E2F3 (AUC = 0.761). The advanced pathological grade was associated with strong TGFB1, VEGFA, and Ki67 protein expression and absent Tp53 staining. These findings indicate miR-34a along with its putative target genes could play a role in RCC tumorigenesis and progression.

Antiangiogenic mechanisms and factors in breast cancer treatment

Breast cancer is known to metastasize in its latter stages of existence. The different angiogenic mechanisms and factors that allow for its progression are reviewed in this article. Understanding these mechanisms and factors will allow researchers to design drugs to inhibit angiogenic behaviors and control the rate of tumor growth.

High vascular endothelial growth factor gene expression predicts poor outcome in patients with non-luminal A breast cancer

Breast cancer is the most frequent type of cancer among women worldwide. Vascular endothelial growth factor (VEGF), the key modulator of angiogenesis, has been implicated in breast cancer susceptibility and aggressiveness. VEGF expression was determined in 99 breast cancer tissue samples using reverse transcription-polymerase chain reaction and the human epidermal growth factor receptor 2 (HER2) status was determined by immunohistochemistry. Subsequently, the associations of VEGF, HER2 and hormone receptor status with clinicopathological data were evaluated. High VEGF expression was found to be significantly correlated with the presence of lymphovascular invasion. In hormone receptor-positive/HER2-positive, HER2-positive and triple-negative breast cancer, high VEGF expression was correlated with the presence of axillary nodal metastasis and lower overall survival rates. Therefore, the assessment of the VEGF status along with the hormone receptor and HER2 status may help identify high-risk patients who may benefit from anti-VEGF treatment.

Prognostic and predictive role of vascular endothelial growth factor polymorphisms in breast cancer

Current evidence indicates that angiogenesis plays an important role in the pathogenesis of several malignancies, including breast cancer. The vascular endothelial growth factor (VEGF) pathway has been investigated extensively, due to its important role in angiogenesis. The major mediator of tumor angiogenesis is VEGF-A, frequently referred to as VEGF, which activates the VEGF receptor-2. The VEGF gene is located on chromosome 6 and constitutes a highly polymorphic gene. Numerous SNPs in the promoter, 5′- and 3′-untranslated regions (UTR) of VEGF gene have been recognized. This genetic variability possibly influences the production and function of VEGF. Subsequently, the VEGF SNPs may have an impact on breast cancer risk and disease outcome. Moreover, these SNPs may be of predictive value in patients receiving agents targeting the VEGF pathway. This review presents an update on the potential role of VEGF SNPs as prognostic and/or predictive markers in patients with breast cancer.

Association between the Functional Polymorphism of Vascular Endothelial Growth Factor Gene and Breast Cancer: A Meta-Analysis

The vascular endothelial growth factor (VEGF) gene single-nucleotide polymorphism involved in the regulation of the protein levels has been implicated in breast cancer. However, the published studies have produced contentious and controversial results. Herein, we performed a meta-analysis (from January to October 2013); to further evaluate the association between +936 C/T polymorphism and the risk of breast cancer. By searching the EMBASE, PubMed, and Web of Science databases, we identified a total of 12 case-control studies with 8,979 cancer patients and 9,180 healthy controls. The strength of the association was assessed using Odds Ratios (ORs) with 95% Confidence Intervals (CI). We found no evidence indicating that the allelic model or the genotype models of +936 C/T polymorphism were associated with the risk of breast cancer in total population (ORCC vs. TT=1.01, 95% CI=0.96-1.06, Ph=1.00; ORCC+CT vs. TT=1.00, 95% CI=0.96-1.05, Ph=1.00; ORCC vs. CT+TT=1.02, 95% CI=0.98-1.07, Ph=0.94; OR allele C vs. allele T=1.01, 95% CI=0.98-1.04, Ph=0.99; ORCT vs. TT=1.01, 95% CI=0.93-1.09, Ph=1.00). Such lack of association with breast cancer was also observed in subgroup analyses according to ethnicity as well as in the analysis by source of controls. In conclusion, this meta-analysis suggests that the functionally important +936 C/T polymorphism may not be associated with breast cancer risk. Larger well-designed studies with gene-to-gene and gene-to-environment interactions are clearly required to validate the results further.

The single nucleotide polymorphism +936 C/T VEGF is associated with human epidermal growth factor receptor 2 expression in Moroccan breast cancer women

The vascular endothelial growth factor (VEGF), a potent regulator of angiogenesis, is involved in the development and progression of breast cancer (BC). The functional +936 C/T polymorphism of the VEGF-A gene has been implicated in BC susceptibility; however, published data are conflicting. In the current case-control study, we analyzed the association of the +936 C/T polymorphism with BC risk and tumor markers expression, human epidermal growth factor receptor 2 (HER2/neu) and caner antigen 15.3 (CA 15.3) in Moroccan women. We genotyped the DNA of 70 BC patients and 70 healthy women by TaqMan SNP assays. The χ(2) test and Fisher's exact test were used for statistical analyses. The overall results revealed that there is no association between the +936 C/T polymorphism and BC risk [p = 0.8; OR 0.87, 95 % CI (0.32-2.42)]. However, when we stratified the group of patients according to the status of tumor markers, a statistical significant association of +936 C/T SNP and HER2/neu expression was observed (p = 0.009). In contrast, no association with the other tumor marker, CA 15.3, was found (p = 0.090). Thus, the +936 C/T polymorphism seems to have a correlation with HER/neu expression in BC disease.

Vascular endothelial growth factor gene polymorphism (-634G/C) and breast cancer risk

The aim of this meta-analysis was to assess if the -634G/C polymorphism represents a predisposition factor for the risk of breast cancer. We included eight published case-control studies, in which a total of 6,175 cancer cases and 6,421 cancer-free controls were included. Pooled ORs and 95 % CIs were calculated by the fixed effects model to evaluate the association of the -634G/C polymorphism and breast cancer risk. When all studies were pooled, we did not find statistical evidence of any significant association with overall breast cancer risk (ORBB vs. bb = 1.00, 95 % CI = 0.93-1.07, P = 0.999; ORBB + Bb vs. bb = 1.00, 95 % CI = 0.95-1.05, P = 0.999; ORBB vs. Bb + bb = 1.03, 95 % CI = 0.96-1.09, P = 0.984; ORallele B vs. allele b = 1.01, 95 % CI = 0.97-1.05, P = 0.998; ORBb vs. bb = 0.99, 95 % CI = 0.92-1.06, P = 0.992). In further stratified analyses by ethnicity and control source, no significant association was revealed. This study suggests that the -634G/C polymorphism does not appear to represent a risk factor for breast cancer.

First pregnancy events and future breast density: modification by age at first pregnancy and specific VEGF and IGF1R gene variants

Purpose

Pregnancy characteristics have been associated with breast cancer risk, but information is limited on their relationship with breast density. Our objective was to examine the relationship between first pregnancy characteristics and later life breast density, and whether the association is modified by genotype.

Methods

The Marin Women’s Study was initiated to examine breast cancer in a high-incidence mammography population (Marin County, CA). Reproductive characteristics and pregnancy information including pregnancy-induced hypertension (PIH) were self-reported at the time of mammography. Forty-seven candidate single nucleotide polymorphisms were obtained from saliva samples; seven were assessed in relation to PIH and percent fibroglandular volume (%FGV). Breast density assessed as %FGV was measured on full-field digital mammograms by the San Francisco Mammography Registry.

Results

A multivariable regression model including 2,440 parous women showed that PIH during first pregnancy was associated with a statistically significant decrease in %FGV (b = −0.31, 95 % CI −0.52, −0.11), while each month of breast-feeding after first birth was associated with a statistically significant increase in %FGV (b = 0.01, 95 % CI 0.003, 0.02). PIH and breast-feeding associations with %FGV were modified by age at first birth. In a subsample of 1,240 women, there was evidence of modification in the association between PIH and %FGV by specific vascular endothelial growth factor (VEGF) (rs3025039) and insulin growth factor receptor-1 (IGFR1) (rs2016347) gene variants.

Conclusion

These findings suggest that first pregnancy characteristics may exert an influence on extent of breast density later in life and that this influence may vary depending on inherited IGFR1 and VEGF genotypes.

Electronic supplementary material

The online version of this article (doi:10.1007/s10552-014-0386-2) contains supplementary material, which is available to authorized users.