Clinical Characteristics Of Breast Cancer Patients Research Articles

Fusobacterium nucleatum-derived small extracellular vesicles facilitate tumor growth and metastasis via TLR4 in breast cancer

BackgroundThe contributive role of the microbiome in tumor progression has been reported in multiple studies, such as the Fusobacterium nucleatum (F. nucleatum) in breast cancer (BC). This study aimed to explore the role of F. nucleatum-derived small extracellular vesicles (Fn-EVs) in BC and preliminarily uncover the mechanism.MethodsTen normal and 20 cancerous breast tissues were harvested to investigate the gDNA expression of F. nucleatum and its relation with the clinical characteristics of BC patients. After isolating Fn-EVs by ultracentrifugation from F. nucleatum (ATCC 25,586), both MDA-MB-231 and MCF-7 cells were treated with PBS, Fn, or Fn-EVs, followed by being subjected to CCK-8, Edu staining, wound healing, and Transwell assays to detect their cell viability, proliferation, migration, and invasion. TLR4 expression in BC cells with diverse treatments was assessed by western blot. In vivo experiments were performed to verify its role in tumor growth and liver metastasis.ResultsThe F. nucleatum gDNA levels of breast tissues in BC patients were significantly higher than those in normal subjects, and positively associated with tumor size and metastasis. Fn-EVs administration significantly enhanced the cell viability, proliferation, migration, and invasion of BC cells, while knocking down TLR4 in BC cells could block these effects. Furthermore, in vivo study verified the contributive role of Fn-EVs in tumor growth and metastasis of BC, which might rely on its regulation of TLR4.ConclusionsCollectively, our results suggest that F. nucleatum plays an important role in BC tumor growth and metastasis by regulating TLR4 through Fn-EVs. Thus, a better understanding of this process may aid in the development of novel therapeutic agents.

Identification of an Aging-Related Gene Signature in Predicting Prognosis and Indicating Tumor Immune Microenvironment in Breast Cancer.

Breast cancer (BC) is the most commonly diagnosed malignancy accompanied by high invasion and metastasis features. Importantly, emerging studies have supported that aging is a key clue that participates in the immune state and development of BC. Nevertheless, there are no studies concerning the aging-related genes (AGs) in constructing the prognosis signature of BC. Here, to address this issue, we initially performed a systematic investigation of the associations between AGs and BC prognosis and accordingly constructed a prognosis risk model with 10 AGs including PLAU, JUND, IL2RG, PCMT1, PTK2, HSPA8, NFKBIA, GCLC, PIK3CA, and DGAT1 by using the least absolute shrinkage and selection operator (LASSO) regression and Cox regression analysis. Meanwhile, our analysis further confirmed that the nomogram possessed a robust performance signature for predicting prognosis compared to clinical characteristics of BC patients, including age, clinical stage, and TNM staging. Moreover, the risk score was confirmed as an independent prognostic index of BC patients and was potentially correlated with immune scores, estimate score, immune cell infiltration level, tumor microenvironment, immunotherapy effect, and drug sensitivity. Furthermore, in the external clinical sample validation, AGs were expressed differentially in patients from different risk groups, and tumor-associated macrophage markers were elevated in high-risk BC tissues with more co-localization of AGs. In addition, the proliferation, transwell, and wound healing assays also confirmed the promoting effect of DGAT1 in BC cell proliferation and migration. Therefore, this well-established risk model could be used for predicting prognosis and immunotherapy in BC, thus providing a powerful instrument for combating BC.

Identification of pyroptosis-related lncRNAs for constructing a prognostic model and their correlation with immune infiltration in breast cancer.

The inflammasome‐dependent cell death, which is denoted as pyroptosis, might be abnormally regulated during oncogenesis and tumour progression. Long non‐coding RNAs (LncRNAs) are pivotal orchestrators in breast cancer (BC), which have the potential to be a biomarker for BC diagnosis and therapy. The present study aims to explore the correlation between pyroptosis‐related lncRNAs and BC prognosis. In this study, a profile of 8 differentially expressed lncRNAs was screened in the TCGA database and used to construct a prognostic model. The BC patients were divided into high‐ and low‐risk groups dependent on the median cutoff of the risk score in the model. Interestingly, the risk model significantly distinguished the clinical characteristics of BC patients between high‐ and low‐risk groups. Then, the risk score of the model was identified to be an excellent independent prognostic factor. Notably, the GO, KEGG, GSEA and ssGSEA analyses revealed the different immune statuses between the high‐ and low‐risk groups. Particularly, the 8 lncRNAs expressed differentially in BC tissues between two risk subgroups in vitro validation. Collectively, this constructed well‐validated model is of high effectiveness to predict the prognosis of BC, which will provide novel means that is applicable for BC prognosis recognition.

High Expression of Asparagine Synthetase Is Associated with Poor Prognosis of Breast Cancer in Chinese Population.

Aims: This study aimed to determine the expression of asparagine synthetase (ASNS) in breast cancer (BC) tissues and estimate its prognostic value for BC patients. Besides, the roles of ASNS in the proliferation of BC cells were also examined in the study. Methods: Quantitative real-time PCR was conducted to detect the expression of ASNS mRNA in BC tissues and normal controls. The relationship between ASNS expression and clinical characteristics of BC patients was analyzed using χ-square test. MTT assay was performed to explore the effect of ASNS expression on the proliferation of BC cells. Kaplan-Meier curves were plotted to describe the overall survival rate of BC patients. Cox regression analyses were implemented to investigate prognostic factors. Results: ASNS mRNA overexpression was observed in BC tissues (p < 0.05). High expression of ASNS was significantly related to histological grade (p = 0.017), vascular invasion (p = 0.009), and PR status (p = 0.014). The downregulation of ASNS affected the proliferation of BC cells (p < 0.05). Kaplan-Meier survival showed that patients with high ASNS expression lived shorter than those with low expressions (p < 0.001). Finally, Cox regression analyses revealed that ASNS could act as a prognostic marker for BC patients (p < 0.001, HR = 3.293, 95% CI = 1.790-6.058). Conclusion: Taken together, ASNS is a valuable prognostic biomarker for BC patients.

WHSC1 promotes wnt/β-catenin signaling in a FoxM1-dependent manner facilitating proliferation, invasion and epithelial-mesenchymal transition in breast cancer

Objectives: Wolf-Hirschhorn syndrome candidate gene-1 (WHSC1) is highly expressed in various malignant tumors. We investigated the correlation and regulatory pathway of WHSC1 in the progression of breast cancer (BC).Methods: The expression and distribution of WHSC1 in the BC tissues and cell lines were determined by quantitative reverse transcription-polymerase chain reaction (qRT-PCR) and immunohistochemical staining. Spearman correlation analysis demonstrated the correlation between WHSC1 high expression level and the clinical characteristics of BC patients. The effects of WHSC1 on the proliferation, apoptosis, migration and invasion of BC cells were analyzed by cell transfection, MTT, colony formation, scratch assay, and transwell. Furthermore, the expression of Forkhead box M1 (FoxM1) and the location of β-catenin were detected by qRT-PCR and western blot.Results: Firstly, WHSC1 expression was up-regulated in BC tissues and cell lines. The high expression of WHSC1 in BC is associated with the tumor size (p = 0.027), metastasis (p = 0.018) and pathological stages (p = 0.025) of the BC patients. The knockdown of WHSC1 inhibited the growth, proliferation migration, invasion and EMT of BC cell lines. Furthermore, WHSC1 could promote the expression of FoxM1 in BC cells and tissues. WHSC1 enhanced the expression of FoxM1, and promoted the nuclear localization of β-catenin, and thus activated the downstream genes expression of Wnt/β-catenin signaling pathway to regulate the development of BC.Conclusion: In summary, our study elucidates the correlation and specific regulatory mechanism between WHSC1 and the progression of BC, thus implying that WHSC1 may function as molecular diagnosis, prognosis and molecular targeted therapy of BC.

Systematic analysis of lncRNA\u2013miRNA\u2013mRNA competing endogenous RNA network identifies four-lncRNA signature as a prognostic biomarker for breast cancer

BackgroundIncreasing evidence has underscored the role of long non-coding RNAs (lncRNAs) acting as competing endogenous RNAs (ceRNAs) in the development and progression of tumors. Nevertheless, lncRNA biomarkers in lncRNA-related ceRNA network that can predict the prognosis of breast cancer (BC) are still lacking. The aim of our study was to identify potential lncRNA signatures capable of predicting overall survival (OS) of BC patients.MethodsThe RNA sequencing data and clinical characteristics of BC patients were obtained from the Cancer Genome Atlas database, and differentially expressed lncRNA (DElncRNAs), DEmRNAs, and DEmiRNAs were then identified between BC and normal breast tissue samples. Subsequently, the lncRNA–miRNA–mRNA ceRNA network of BC was established, and the gene oncology enrichment analyses for the DEmRNAs interacting with lncRNAs in the ceRNA network was implemented. Using univariate and multivariate Cox regression analyses, a four-lncRNA signature was developed and used for predicting the survival in BC patients. We applied receiver operating characteristic analysis to assess the performance of our model.ResultsA total of 1061 DElncRNAs, 2150 DEmRNAs, and 82 DEmiRNAs were identified between BC and normal breast tissue samples. A lncRNA–miRNA–mRNA ceRNA network of BC was established, which comprised of 8 DEmiRNAs, 48 DElncRNAs, and 10 DEmRNAs. Further gene oncology enrichment analyses revealed that the DEmRNAs interacting with lncRNAs in the ceRNA network participated in cell leading edge, protease binding, alpha-catenin binding, gamma-catenin binding, and adenylate cyclase binding. A univariate regression analysis of the DElncRNAs revealed 7 lncRNAs (ADAMTS9-AS1, AC061992.1, LINC00536, HOTAIR, AL391421.1, TLR8-AS1 and LINC00491) that were associated with OS of BC patients. A multivariate Cox regression analysis demonstrated that 4 of those lncRNAs (ADAMTS9-AS1, LINC00536, AL391421.1 and LINC00491) had significant prognostic value, and their cumulative risk score indicated that this 4-lncRNA signature independently predicted OS in BC patients. Furthermore, the area under the curve of the 4-lncRNA signature associated with 3-year survival was 0.696.ConclusionsThe current study provides novel insights into the lncRNA-related ceRNA network in BC and the 4 lncRNA biomarkers may be independent prognostic signatures in predicting the survival of BC patients.

Association of Single Nucleotide Polymorphisms of the MDM4 Gene With the Susceptibility to Breast Cancer in a Southeast Iranian Population Sample

IntroductionThe murine double minute 4 (MDM4) protein is a negative regulator of p53, and its upregulation has been observed in many tumor types. Previous literature suggested that genetic variations in the MDM4 gene are associated with risk of different cancers. The objective of the present study was to examine the effect of 3 common genetic variants of MDM4, rs4245739 A>C, rs11801299 G>A, and rs1380576 C>G, on the risk of breast cancer (BC) in a southeast Iranian population sample. Patients and MethodsA total of 265 BC patients and 221 healthy women were included in this case-control study. We used polymerase chain reaction (PCR)-restriction fragment length polymorphism and tetra amplification refractory mutation system-PCR methods for detection of MDM4 polymorphisms. ResultsOur findings showed that rs1380576 C>G was associated with a reduced risk of BC using co-dominant (GC vs. CC: odds ratio [OR], 0.54; 95% confidence interval [CI], 0.34-0.84; P = .006; and GG vs. CC: OR, 0.49; 95% CI, 0.26-0.94; P = .044), dominant (CG+GG vs. CC: OR, 0.54; 95% CI, 0.35-0.82; P = .004), and allele models (G vs. C: OR, 0.74; 95% CI, 0.57-0.96; P = .025). However, our study failed to show any relationship between rs4245739 A>C and rs11801299 G>A variants and BC risk (P > .05). We also found no significant association between MDM4 variants and clinical characteristics of BC patients (P > .05). ConclusionOur findings proposed that the MDM4 rs1380576 C>G polymorphism was a protective factor for BC risk in our population. Additional studies with larger sample sizes and diverse ethnicities are required to confirm our findings.

Genetic polymorphisms (rs10636 and rs28366003) in metallothionein 2A increase breast cancer risk in Chinese Han population.

Genetic polymorphisms of MT2A are frequently observed in many different cancers. We performed this case-control study, including 459 breast cancer (BC) patients and 549 healthy controls from Northwest China, to evaluate the associations between two common MT2A polymorphisms (rs10636 and rs28366003) and BC risk. The MT2A polymorphisms were genotyped via Sequenom MassARRAY. The individuals with the rs28366003 A/G, A/G-G/G genotypes underwent a higher risk of BC (P<0.0001). And, the minor allele G of rs28366003 was related to an increased BC risk (P<0.0001). We also found a significantly increased BC risk with rs10636 polymorphism among homozygote and recessive models (P<0.05). Further subgroup analysis by clinical characteristics of BC patients showed that Scarff, Bloom and Richardson tumor grade (SBR) 1-2 have a higher expression of the minor allele of these two MT2A loci than SBR 3. Our results indicated that the rs10636 and rs28366003 polymorphisms in MT2A increased BC risk in Northwest Chinese Han population.

Effect of TP53 16-bp and β-TrCP 9-bp INS/DEL polymorphisms in relation to risk of breast cancer

P53 as a tumor suppressor and an apoptosis modulator, is the regulator of the cell cycle and apoptosis, and contributes to mammary gland development and breast cancer (BC) progression. BTRC gene (Homo sapiens beta-transducing repeat containing E3 ubiquitin protein ligase) encoded protein, β-TrCP, is a novel regulator of p53. The current study aimed to assess the possible effects of TP53 IVS3 16bp (rs17878362) and β-TrCP 9bp (rs16405) INS/DEL polymorphisms on BC risk in an Iranian population. A total of 439 women including 236 BC patients and 203 healthy women were recruited. The TP53 and β-TrCP INS/DEL polymorphisms were genotyped by allele-specific polymerase chain reaction method. Our data demonstrated that the TP53 16-bp INS/DEL variation was associated with an increased risk of BC in codominant (INS/INS vs. DEL/DEL: OR=1.82; 95% CI=1.02–3.23; P=0.042) and dominant (Del/INS+INS/INS vs. DEL/DEL: OR=1.48; 95% CI=1.03–2.21; P=0.044) models. Additionally, the variant allele (INS) of TP53 DEL/INS polymorphism with a relatively higher frequency in cases than in controls (35.6 vs. 27.8) was a risk factor for BC (OR=1.43; 95% CI=1.06–1.93; P=0.017). With respect to β-TrCP INS/DEL polymorphism, our study failed to find any difference in allele and genotype distribution between BC patients and controls in codominant, dominant and recessive tested inheritance models (P>0.05). Furthermore, no significant association among the β-TrCP and TP53 genotype distribution and clinical characteristics of BC patients were found (P>0.05). Our findings suggest that the TP53 16-bp INS/INS and DEL/INS+INS/INS genotypes as well as the INS allele could be genetic factors related to BC risk.