CircZFR functions as a sponge of miR-578 to promote breast cancer progression by regulating HIF1A expression

BACKGROUND

Breast cancer (BC) is the most common malignancy among women. Emerging studies have demonstrated that circular RNA (circRNA) zinc finger RNA binding protein (circZFR) serves as a crucial regulator in many human cancers. However, the role and mechanism of circZFR in BC tumorigenesis remain unclear.

METHODS

The levels of circZFR, miR-578 and hypoxia-inducible factor 1α (HIF1A) were detected by quantitative real-time polymerase chain reaction (qRT-PCR) or western blot. Cell viability, colony formation, apoptosis, migration and invasion capacities in vitro were determined by using the Cell Counting Kit-8 (CCK-8), standard colony formation, flow cytometry and transwell assays, respectively. Glucose uptake, lactate product and adenosine triphosphate (ATP) levels of cells in vitro were measured using the commercial human assay kits. Targeted relationships among circZFR, miR-578 and HIF1A in BC cell lines were verified by dual-luciferase reporter and RNA pulldown assays. Animal studies were performed to assess the effect of circZFR on tumor growth in vivo.

RESULTS

Our data indicated that circZFR was overexpressed in BC tissues and cells, and the increased circZFR level predicted poor prognosis of BC patients. CircZFR silencing or miR-578 overexpression repressed BC cell viability, colony formation, migration, invasion, and glycolysis and enhanced cell apoptosis in vitro. CircZFR silencing also hampered tumor growth in vivo. Mechanistically, circZFR acted as a sponge of miR-578, and circZFR silencing hindered BC cell malignant behaviors by miR-578. HIF1A was a functional target of miR-578 in regulating BC cell viability, colony formation, migration, invasion, glycolysis and apoptosis in vitro. Furthermore, circZFR modulated HIF1A expression through sponging miR-578.

CONCLUSION

Our findings first identified that the silencing of circZFR suppressed BC malignant progression in vitro via the regulation of the miR-578/HIF1A axis, providing evidence for the crucial involvement of circZFR in BC pathogenesis.

Nipple-sparing mastectomy for early breast cancer: the importance of intraoperative evaluation of retroareolar margins and intra-nipple duct removal

Background

Nipple-sparing mastectomy (NSM) is increasingly performed for breast cancer (BC) treatment. To ensure local control with this procedure, it is important to obtain clear surgical margins. Here, we aimed to estimate the confidence in intraoperative evaluation of the retroareolar margin (IERM) and the necessity of removing the intra-nipple ducts.

Methods

In this retrospective cohort study, we evaluated 224 BC (infiltrating carcinoma 178, ductal carcinoma in situ 46) patients, who underwent NSM. IERM was determined via cytology and frozen sections. Following gland removal, the intra-nipple ducts were excised and embedded in paraffin for analysis. The retroareolar tissue was also paraffin-embedded and reanalyzed for definitive evaluation of retroareolar margins (DERM). The IERM predictive capacity in relation to DERM and the frequency of intra-nipple duct involvement were estimated.

Results

IERM classified the sub-nipple areolar complex area as cancer-free in 219 cases (97.8%). The condition of clear retroareolar margin was confirmed by DERM in 216 cases (98.6%). The IERM accuracy was estimated as 98.6%. Ductal carcinoma in situ was detected in intra-nipple ducts using paraffin sections in 1.8% of the cases, despite clear IERM (4/219).

Conclusions

In conclusion, IERM affords high accuracy and its results are suitable to manage the nipple-areolar complex. Nevertheless, some patients may retain residual disease in the intra-nipple ducts; thus, these ducts should ideally be removed during NSM.

Association of HOTAIR (rs920778 and rs1899663) and NME1 (rs16949649 and rs2302254) gene polymorphisms with breast cancer risk in India

BACKGROUND

Until now, no study has reported the combined effect of genetic variants of HOTAIR and NME1 towards breast cancer (BC) pathogenesis. Hence, the aim of the present study is to determine the risk of breast cancer development with HOTAIR (rs920778 C > T and rs1899663 G > T) and NME1 (rs16949649 T > C and rs2302254 C > T) genetic polymorphisms in the Indian population for the first time.

MATERIALS AND METHODS

To investigate the genetic association of these four SNPs, we conducted a population-based case-control study involving 1011 subjects (502 histologically confirmed BC patients and 509 disease-free controls) using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method.

RESULTS

HOTAIR rs920778 TC genotype elevated the risk of BC (OR = 1.39, 95% CI = 1.06-1.83, p = 0.018) and individuals carrying the mutant allele (T) of rs1899663 had increased BC risk (OR = 1.23, 95% CI = 1.02-1.47, p = 0.026). The presence of the NME1 rs16949649 CC genotype increased the risk of BC (OR = 1.76, 95% CI = 1.15-2.71, p = 0.009). Moreover, the HOTAIR rs920778 variant (TC + CC) increased the risk of BC in pre-menopausal women (OR = 5.86; p < 0.0001). Women carrying 2 or 3 mutant alleles for the investigated SNPs were observed to have an elevated risk of BC.

CONCLUSION

The results of the present study highlight the presence of significant associations between NME1 rs16949649 and HOTAIR (rs920778 and rs1899663) polymorphisms and breast cancer development in Indian women.

Targeting estrogen receptor α for degradation with PROTACs: A promising approach to overcome endocrine resistance

Estrogen receptor alfa (ERα) is expressed in approximate 70% of breast cancer (BC) which is the most common malignancy in women worldwide. To date, the foremost intervention in the treatment of ER positive (ER+) BC is still the endocrine therapy. However, resistance to endocrine therapies remains a major hurdle in the long-term management of ER + BC. Although the mechanisms underlying endocrine resistance are complex, cumulative evidence revealed that ERα still plays a critical role in driving BC tumor cells to grow in resistance state. Fulvestrant, a selective estrogen receptor degrader (SERD), has moved to first line therapy for metastatic ER + BC, suggesting that removing ERα would be a useful strategy to overcome endocrine resistance. Proteolysis-Targeting Chimera (PROTAC) technology, an emerging paradigm for protein degradation, has the potential to eliminate both wild type and mutant ERα in breast cancer cells. Excitingly, ARV-471, an ERα-targeted PROTAC developed by Arvinas, has been in phase 1 clinical trials. In this review, we will summarize recent progress of ER-targeting PROTACs from publications and patents along with their therapeutic opportunities for the treatment of endocrine-resistant BC.

Prognostic values of SNAI family members in breast cancer patients

Background

Breast cancer (BC) is one of the most lethal malignant tumors and the leading cause of cancer-related death worldwide. Although early diagnostic techniques for BC have been well developed, 40% of cases are still diagnosed at the advanced stage, while for BC patients with distant metastases, the 5-year survival rate is usually lower than 30%. The Snail family, generally regarded as transcriptional repressors, has been indicated to be an essential prognostic factor in malignant tumors. However, limited data exist on public databases concerning the prognostic value of individual Snail family members in BC, especially SNAI3.

Methods

Data from public databases including cBioPortal for Cancer Genomics, Gene Expression Omnibus, UCSC Xena Browser, and Human Protein Atlas (HPA) were downloaded. Based on the Kaplan¬–Meier plotter platform, correlation of the three members of the Snail family and prognosis in BC were analyzed. Individual Snail family members and their co-expressed genes were respectively enriched on different pathways and biological processes via the functional enrichment analysis (FunRich) tool.

Results

High SNAI1 mRNA expression was associated with shorter distant metastasis-free survival (DMFS) in all BC patients regardless of PAM50 subtype. Conversely, high SNAI3 mRNA expression was associated with longer DMFS. Although the presence of SNAI2 expression was significantly associated with DMFS in the whole cohort, no significant correlation was found in patients with luminal A or HER2 subtype. For patients with the most diverse clinicopathological features, high SNAI1 expression was associated with poor survival, with the converse being true for SNAI3. However, the impact on prognosis of patients with different clinicopathological features produced by SNAI2 expression was inconclusive. Furthermore, we discovered that SNAI1 or SNAI2 and their co-expressed genes frequently enriched receptor tyrosine kinase (RTK) signaling and integrin-related pathways which mainly functioned on epithelial-mesenchymal transition and were further involved in several processes of signal transduction and cell communication. Furthermore, as SNAI3, along with its co-expressed genes, enriched immune-related pathways, it may thus play a role in mediating the immune system.

Conclusions

Our analysis revealed that SNAI1 mRNA expression may potentially be a negative prognostic factor, whereas SNAI3 mRNA was associated with positive prognosis in BC. Therefore, the assessment of SNAI1 and SNAI3 expression may be valuable for predicting prognosis in BC patients.

Chemokines in bone-metastatic breast cancer: Therapeutic opportunities

Due to non-response to chemotherapy, incomplete surgical resection, and resistance to checkpoint inhibitors, breast cancer with bone metastasis is notoriously difficult to cure. Therefore, the development of novel, efficient strategies to tackle bone metastasis of breast cancer is urgently needed. Chemokines, which induce directed migration of immune cells and act as guide molecules between diverse cells and tissues, are small proteins indispensable in immunity. These complex chemokine networks play pro-tumor roles or anti-tumor roles when produced by breast cancer cells in the tumor microenvironment. Additionally, chemokines have diverse roles when secreted by various immune cells in the tumor microenvironment of breast cancer, which can be roughly divided into immunosuppressive effects and immunostimulatory effects. Recently, targeting chemokine networks has been shown to have potential for use in treatment of metastatic malignancies, including bone-metastatic breast cancer. In this review, we focus on the role of chemokines networks in the biology of breast cancer and metastasis to the bone. We also discuss the therapeutic opportunities and future prospects of targeting chemokine networks, in combination with other current standard therapies, for the treatment of bone-metastatic breast cancer.

Novel targeted therapies for metastatic breast cancer

Metastatic breast cancer (mBC) continues to be a leading cause of cancer-related death in women. Even though mortality rates have improved over recent years, the 5-year survival rate of advanced BC is still at only 27%. As researchers and clinicians attempt to tackle this challenge, there has been extensive research and many trials studying treatment options for BC patients with metastatic disease, with numerous new therapies being discovered as a result. We review the most pertinent novel agents to enter the scope of BC treatment, including CDK4/6 inhibitors, PI3K inhibitors, mTOR inhibitors, immunotherapy, PARP inhibitors, and more.

Human papilloma virus (HPV) profiles in breast cancer: future management

Breast cancer (BC) is frequent among women in worldwide as well as in India. Several studies have reported a wide variation (1.6–86.2%) in the frequency of incidence of human papillomavirus (HPV) infection in BC with high prevalence of high risk HPV16 subtype. HPV infection in breast can occur through different routes like body fluid or by micro-lesion of breast skin from genital/agential sites, though the actual mode of HPV transmission is not yet known in details. Frequent integration and sequence variation with low copy number of HPV16 were seen in this tumour. In addition, high frequencies of methylation in p97 promoter region of HPV16 were evident in this tumour. Novel splice variants of E6/E7 along with other common variants and their protein expression were seen in the tumour. This indicates the importance of HPV in this tumor, its early diagnosis and prognosis. Thus, HPV may be targeted through vaccination to control the disease. However, detailed analysis of HPV associated molecular pathogenesis of BC is warranted for proper therapeutic intervention.

Identification of key differentially expressed genes between ER-positive/HER2-negative breast cancer and ER-negative/HER2-negative breast cancer using integrated bioinformatics analysis

Background

Treatment strategies for various subtypes of breast cancer (BC) are different based on their distinct molecular characteristics. Therefore, it is very important to identify key differentially expressed genes (DEGs) between ER-positive/HER2-negative BC and ER-negative/HER2-negative BC.

Methods

Gene expression profiles of GSE22093 and GSE23988 were obtained from the Gene Expression Omnibus database. There were 74 ER-positive/HER2-negative BC tissues and 85 ER-negative/HER2-negative BC tissues in the two profile datasets. DEGs between ER-positive/HER2-negative tissues and ER-negative/HER2-negative BC tissues were identified by the GEO2R tool. The common DEGs among the two datasets were detected with Venn software online. Next, we made use of the Database for Annotation, Visualization and Integrated Discovery to analyze enriched Kyoto Encyclopedia of Gene and Genome (KEGG) pathways and gene ontology terms. Then, the protein-protein interactions (PPIs) of these DEGs were visualized by Cytoscape with the Search Tool for the Retrieval of Interacting Genes. Of the proteins in the PPI network, Molecular Complex Detection plug-in analysis identified nine core upregulated genes and one core downregulated gene. UALCAN and Gene Expression Profiling Interactive Analysis were applied to determine the expression of these 10 genes in BC. Furthermore, for the analysis of overall survival among those genes, the Kaplan-Meier method was implemented.

Results

Ninety-three common DEGs (63 upregulated and 30 downregulated) were identified. KEGG pathway enrichment analysis showed that upregulated DEGs were particularly enriched in the progesterone-mediated oocyte maturation pathway. In addition, PGR might be a prognostic biomarker for ER-positive/HER2-negative BC. CCND1 is a poor prognostic biomarker for ER-positive/HER2-negative BC and ER-negative/HER2-negative BC. Moreover, TFF1, AGR2 and EGFR might be predictive biomarkers of node metastasis in ER-positive/HER2-negative BC and ER-negative/HER2-negative BC.

Conclusions

CCND1, AGR2, PGR, TFF1 and EGFR are the key DEGs between ER-positive/HER2-negative BC and ER-negative/HER2-negative BC. Further studies are required to confirm the functions of the identified genes.

Prognostic value of chronic hepatitis B virus infection in patients with breast cancer in a hepatitis B virus endemic area

Background

Except for hepatocellular carcinoma, chronic hepatitis B virus (HBV) infection has also been reported to be associated with increased morbidity and mortality of other cancers. However, the impact of chronic HBV infection on the prognosis of breast cancer (BC) remains unclear. Our study aimed to evaluate the prognostic value of HBV infection for BC in an endemic area of HBV in China.

Methods

There was a total of 1,904 patients with early BC who underwent mastectomy or breast-conserving surgery enrolled in our study. HBV infection on overall survival (OS) and hepatic metastasis-free survival (HMFS) was the main research indicator for this study.

Results

A total of 212 patients (11.1%) were identified with chronic HBV infection due to serum hepatitis B surface antigen (HBsAg) positive. HBsAg-positive patients had inferior OS (84.9% vs. 90.4%, P=0.005) and HMFS (92.5% vs. 97.1%, P=0.016) at 5 years than HBsAg-negative patients. Chronic HBV infection was an independent predictor of poor OS in patients with BC [multivariate analysis; hazard ratio (HR), 1.52; P=0.038], but not for HMFS. Subgroup analysis showed that chronic HBV infection was an unfavorable independent prognostic factor for OS in patients with stage II/III BC (HR, 1.59; P=0.025). The 5-year OS and HMFS rates of HBsAg-positive patients were 81.9% and 90.5% for patients with stage II/III BC, while those rates of HBsAg-negative patients were 88.5% and 96.3%, respectively. In stage I patients, there was no significant difference in 5-year OS (95.8% vs. 97.1%; P=0.629) and HMFS (100.0% vs. 99.0%; P=0.447).

Conclusions

In conclusion, chronic HBV infection predicts a worse prognosis in patients with stage II/III BC, but not stage I BC.

Relationships of hepatitis B virus infection with clinicopathological features in breast cancer and survival outcomes in central China

Background

The purpose of this study was to determine the effect of hepatitis B virus (HBV) infection on the clinicopathological features and survival outcomes of breast cancer (BC) patients.

Methods

Patients diagnosed with BC at the Breast and Thyroid Center, Renmin Hospital, Wuhan University between January 2013 and December 2017 were included in the study. Among these patients, 100 (8.4%) were infected with HBV (case group), while 237 (19.9%) had never come into contact with HBV (control group). Chi-square tests for analyses of clinicopathological features, Kaplan-Meier survival analyses, the log-rank test for disease-free survival (DFS) between the case and control group, along with the factors correlated with prognosis, were evaluated using univariate and multivariate analyses.

Results

The median follow-up of the patients in the case and control groups was 34.5 months. The clinicopathological features revealed that patients with HBV tended to have smaller tumors compared with the control group (case vs. control: 53.0% vs. 65.8%, P<0.05). In addition, more grade 3 tumors were observed in patients with HBV (case vs. control: 55.0% vs. 37.6%, P<0.01). The 3-year DFS was 94.3% in the case group and 89.4% in the control group patients (P=0.212). In multivariate analysis, nodal status [hazard ratio (HR) =5.033, P=0.003] and estrogen receptor (ER) status (HR =0.216, P=0.023) were both independent prognostic risk factors for DFS. However, HBV infection had no association with the DFS of BC.

Conclusions

BC patients in central China have a higher incidence rate of HBV infection than the general population does. BC patients with chronic HBV infection tend to have an earlier tumor stage and higher histological grade, but there is no association with the DFS of BC.

Identification of a six-gene signature associated with tumor mutation burden for predicting prognosis in patients with invasive breast carcinoma

Background

Breast cancer (BC) is one of the most common cancers with high mortality worldwide. In the present study, through bioinformatics analysis, we aimed to identify new biomarkers to predict the survival rate of BC patients.

Methods

Differentially expressed genes (DEGs) between low- and high-tumor mutation burden (TMB) groups were identified by using The Cancer Genome Atlas (TCGA) dataset and integrated analysis. Gene Ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis, and the protein-protein interaction (PPI) network, were applied to predict the function of these above DEGs. Then, the Cox proportional hazard model was developed to screen DEGs. Based on the prognostic signature, survival analysis was used on The Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA) dataset. Finally, the single-sample gene set enrichment (ssGSEA) analysis was employed to estimate immune cells related to this signature.

Results

To create a prognostic signature, 6 DEGs were identified. The results revealed that the survival time of patients with high-risk scores based on the expression of the six-gene signature was dramatically shorter than that of patients with low-risk scores in BC. Furthermore, survival analysis and multivariate cox analysis indicated that the six-gene signature was an independent prognostic factor of BC. Then, we built a nomogram that integrated the clinicopathological factors with the six-gene signature to predict the survival probability of BC patients. We eventually predicted the 20 most vital small molecule drugs by CMap, and Nadolol was considered as the most promising small molecule to treat BC. Moreover, ssGSEA analysis showed that the 6 genes were closely associated with immune cells.

Conclusions

We constructed a six-gene signature associated with TMB that can improve the prognosis prediction and could be seen as a biomarker for BC patients.

Insulin-like growth factor-1 receptor (IGF-1R) expression on circulating tumor cells (CTCs) and metastatic breast cancer outcome: results from the TransMYME trial

PURPOSE

To evaluate the prognostic value of IGF-1R expression on circulating tumor cells (CTCs) in a prospective randomized clinical trial comparing chemotherapy plus metformin with chemotherapy alone in metastatic breast cancer (MBC) patients.

METHODS

CTCs were collected at baseline and at the end of chemotherapy. An automated sample preparation and analysis system (CellSearch) were customized for detecting IGF-1R expression. The prognostic role of CTC count and IGF-1R was assessed for PFS and OS by univariate and multivariate analyses.

RESULTS

Seventy-two out of 126 randomized patients were evaluated: 57% had ≥ 1 IGF-1R positive CTC and 37.5% ≥ 4 IGF-1R negative cells; 42% had CTC count ≥ 5/7.5 ml. At univariate analysis, the number of IGF-1R negative CTCs was strongly associated with risk of progression and death: HR 1.93 (P = 0.013) and 3.65 (P = 0.001), respectively; no association was detected between number of IGF-1R positive CTCs and PFS or OS (P = 0.322 and P = 0.840). The prognostic role of CTC count was confirmed: HR 1.69, P = 0.042 for PFS and HR 2.80 for OS, P = 0.002. By multivariate analysis, the prognostic role of the number of IGF-1R negative CTCs was maintained, while no residual prognostic role of CTC count or number of IGF-1R positive cells was found.

CONCLUSION

Loss of IGF-1R in CTCs is associated with a significantly worse outcome in MBC patients. This finding supports further evaluation for the role of IGF-1R on CTCs to improve patient stratification and to implement new targeted strategies.

CLINICAL TRIAL REGISTRATION

Clinicaltrials.gov (NCT01885013); European Clinical Trials Database (EudraCT No.2009-014,662-26).

Associations of polymorphisms in interleukins with susceptibility to breast cancer: Evidence from a meta-analysis

BACKGROUND

Associations between polymorphisms in interleukins and breast cancer (BC) were already investigated by many studies, yet with controversial findings. The aim of this meta-analysis was to better clarify associations between polymorphisms in interleukins and BC by combing the results of all relevant articles.

METHODS

Eligible articles were searched from Pubmed, Embase, Web of Science and CNKI. We used Review Manager to combine the results of eligible studies.

RESULTS

Fifty-seven studies were included in this meta-analysis. We found that IL-6 rs1800796 (dominant comparison: OR = 0.70, 95% CI 0.53-0.92), IL-8 rs4073 (dominant comparison: OR = 0.74, 95% CI 0.61-0.89; over-dominant comparison: OR = 1.16, 95% CI 1.05-1.29; allele comparison: OR = 0.82, 95% CI 0.69-0.89), IL-10 rs1800896 (recessive comparison: OR = 1.28, 95% CI 1.12-1.47) and IL-18 rs1946518 (dominant comparison: OR = 0.80, 95% CI 0.65-0.97; allele comparison: OR = 0.74, 95% CI 0.59-0.93) polymorphisms were all significantly associated with BC in overall combined analyses. In subgroup analyses, we noticed that IL-6 rs1800796, IL-8 rs4073, IL-10 rs1800896, IL-18 rs1946518 and rs187238 polymorphisms were all significantly associated with susceptibility to BC in East Asians from China.

CONCLUSIONS

Collectively, this meta-analysis demonstrated that IL-6 rs1800796, IL-8 rs4073, IL-10 rs1800896, IL-18 rs1946518 and rs187238 polymorphisms may confer susceptibility to BC for East Asians from China.

Novel prognostic nomograms for female patients with breast cancer and bone metastasis at presentation

Background

There is a paucity of literature about prognostic evaluation for patients with breast cancer (BC) and bone metastasis at presentation. To date, little is known about how to accurately predict the prognosis of BC patients with bone metastasis at presentation. Thus, an accurate prediction tool of prognosis in this population is urgently needed. Our goal is to construct novel and prognostic nomograms for BC patients with bone metastasis at presentation.

Methods

We searched Surveillance, Epidemiology, and End Results (SEER) database for BC patients with bone metastasis at presentation between 2010 and 2016. Multivariate analysis was performed to obtain significantly independent variables. Then, novel prognostic nomograms were constructed based on those independent predictors.

Results

Tumor grade, histological type, primary tumor size, tumor subtype, surgery, chemotherapy and number of metastatic organs except bone were recognized as significantly independent variables of both overall survival (OS) and cancer-specific survival (CSS). Then those significant variables were integrated to construct nomograms for 3- and 5-year survival. Calibration plots for the 3- and 5-year survival in training and validation sets showed that the prediction curve was close to a 45 degree slash. The C-indices of OS in training and validation cohorts were 0.705 and 0.678, respectively. Similar results were observed for CSS in training and validation cohorts.

Conclusions

Our proposed nomograms can effectively and accurately predict the prognosis of BC patients with bone metastasis at presentation, which provide a basis for individual treatments for metastatic lesions.

Association between FGFR1 copy numbers, MAP3K1 mutations, and survival in axillary node-positive, hormone receptor-positive, and HER2-negative early breast cancer in the PACS04 and METABRIC studies

PURPOSE

Hormone receptor-positive (HR+) and human epidermal growth factor receptor 2 negative (HER2-) early breast cancer (BC) is the most prevalent BC subtype with substantial biological heterogeneity. Although clinicopathological (CP) characteristics have a clear prognostic value, additional biomarkers could refine survival prediction and guide treatment decision.

METHODS

Copy number aberrations and somatic driver mutations were obtained with OncoScan CGH array and sequencing of 36 genes on HR+/HER2- node-positive early BC patients treated with chemotherapy from the PACS04 trial. We built a two-gene genomic score (GS) associated with distant disease-free survival (DDFS), whose prognostic value was assessed on the external METABRIC data (n = 1413) using overall survival (OS) and breast cancer-specific survival (BCSS).

RESULTS

In the PACS04 trial (n = 327), the median follow-up for DDFS (65 events) was 9.6 years. FGFR1 amplifications ([Formula: see text] = 2.44, 95% CI [1.25; 4.76], p = 0.009) and MAP3K1 mutations ([Formula: see text] = 0.10, [0.01; 0.78], p = 0.03) were associated with DDFS beyond CP characteristics. A prognostic GS combining FGFR1 amplifications and MAP3K1 mutations added more information to CP model ([Formula: see text] = 12.97, [Formula: see text] < 0.001 and [Formula: see text] = 11.52, [Formula: see text] < 0.001). In the METABRIC study (n = 1413), FGFR1 amplifications ([Formula: see text] = 2.00 [1.40; 2.87], p < 0.001) and MAP3K1 mutations ([Formula: see text] = 0.58 [0.41; 0.83], p = 0.003) were significantly associated with BCSS beyond CP characteristics. The prognostic GS added significant prognostic information to CP model ([Formula: see text] = 15.39, [Formula: see text] < 0.001 and [Formula: see text] = 5.62, [Formula: see text] = 0.02).

CONCLUSION

In axillary node-positive, HR+, and HER2- early BC, amplifications of FGFR1 gene were strongly associated with increased risk for distant disease, while mutations of MAP3K1 gene were significantly associated with decreased risk.

Rare sites of breast cancer metastasis: a review

Breast cancer (BC) metastasis accounts for the majority of deaths from BC. The rate of metastasis to uncommon sites is on the rise due to the more effective therapy prolonging survival and to the early detection on imaging. The evaluation of patient-reported symptoms is essential in detecting a recurrence as early as possible, which may impact survival. Hence, the knowledge of even the rare sites of BC metastasis is of paramount importance for the clinical interpretation of new symptoms in BC survivors. The term “unusual metastasis” defines a systemic failure with a frequency of ≤1% at each site and according to this unusual metastasis involve the central nervous system, secretory/endocrine organs and glands, internal organs and structures, and gynecological organs. The literature search was performed using the electronic database PubMed up to December 2018, with the following key words: {[rare(Title/Abstract)] OR [unusual(Title/Abstract)] OR [unconventional(Title/Abstract)]} AND {[metastases(Title/Abstract)] OR [metastasis(Title/Abstract)]} AND {[breast(Title/Abstract)]} AND {[cancer(Title/Abstract)] OR [tumor(Title/Abstract)] OR [tumour(Title/Abstract)] OR [neoplasm(Title/Abstract)]}. The search was limited to papers in English language. Of the 3,086 papers found, 757 were excluded as reporting animal models, 378 were not in English language, 1 was a duplicate of the same research, 1,414 did not report on BC metastases, 108 were previous review reviews on BC or tumour to tumour metastases; 428 papers were included in this review. Despite the improvements in BC management, most deaths from cancer result from metastases that are resistant to conventional therapies. In general, it is uncommon to find isolated rare metastases, the vast majority of these develops together with metastases in other sites, thus highlighting a worsening systemic disease. However, the early detection of even rare metastases represents the only chance to control the disease and prolong survival while waiting for the development of more effective systemic therapies.

Inflammation, immunosuppressive microenvironment and breast cancer: opportunities for cancer prevention and therapy

Breast cancer is the most commonly diagnosed malignancy and a leading cause of cancer-related death in women worldwide. It also exhibits pronounced racial disparities in terms of incidence and clinical outcomes. There has been a growing interest in research community to better understand the role of the microenvironment in cancer. Several lines of evidence have highlighted the significance of chronic inflammation at the local and/or systemic level in breast tumor pathobiology. Inflammation can influence breast cancer progression, metastasis and therapeutic outcome by establishing a tumor supportive immune microenvironment. These processes are mediated through a variety of cytokines and hormones that exert their biological actions either locally or distantly via systemic circulation. Targeting of immune and inflammatory pathways has met tremendous success in some cancers underscoring the importance of research to further our understanding of these systems in breast cancer. This knowledge can be helpful not only in the development of novel prevention and therapeutic strategies, but also help in better prediction of therapeutic responses in patients. This review summarizes some of the significant findings on the role of inflammation in breast cancer to gain collective molecular and mechanistic insights. We also discuss ongoing efforts and future outlook to exploit the existing knowledge for improved breast cancer management.

A new prognostic factor of breast cancer: High carboxyl ester lipase expression related to poor survival

OBJECTIVE

The enzyme carboxyl ester lipase (CEL), known as bile salt-dependent lipase (BSDL) or bile salt-stimulated lipase (BSSL), is mainly expressed in pancreatic acinar cells and lactating mammary glands. To investigate the link between CEL expression of breast cancer (BC) tissues and the survival of BC patients by analyzing The Cancer Genome Atlas Breast Carcinoma (TCGA-BRCA) level 3 data.

METHODS

The clinical information and RNA-sequencing (RNA-Seq) expression data were downloaded from TCGA. Patients were divided into a high CEL expression group and a low CEL expression group using the optimal cutoff value (5.611) identified from the ROC curve. Chi-square test and Fisher exact test were used to find the correlation between the expression of CEL and clinicopathologic features. To assess the diagnostic capability, the receiver operating characteristic (ROC) curve of CEL was drawn. The survival differences between high and low CEL expression groups were compared by Cox regression analysis. Log-rank test was applied to the calculation of p values and the comparison of the Kaplan-Meier curves. Furthermore, Gene Expression Omnibus (GEO) datasets were used for external data validation.

RESULTS

Analysis of 1104 cases of tumor data showed that CEL was over-expressed in breast cancer. There were relationships between high CEL expression and clinicopathologic features. The high CEL expression group had a lower survival. By analyzing the area under the ROC curve (AUC) of CEL, it was found to have a limited diagnostic capability. CEL expression may be an independent prognostic factor for breast cancer survival through the multivariate analysis. The validation in GEO datasets also showed that CEL expression was higher in breast tumor tissues than in normal breast tissues. High CEL expression was associated with the poor overall survival of breast cancer.

CONCLUSIONS

High CEL expression may be an independent prognostic factor for the poor survival of breast cancer.

Validation of Modified Breast Graded Prognostic Assessment for breast cancer patients with brain metastases: extra-cranial disease progression is an independent risk factor

BACKGROUND

Breast cancer (BC) patients with brain metastases (BM) are heterogeneous with markedly variable survival. The Breast Graded Prognostic Assessment (B-GPA) and Modified B-GPA (mB-GPA) have been proposed as useful tools for stratifying survival in this population. However, extra-cranial disease progression, a clinically important variable, is not incorporated into the final model. We undertook the validation of B-GPA and mB-GPA in an Asian cohort and further explore extra-cranial disease progression as a prognostic factor.

METHODS

Data of BC patients with newly diagnosed BM between 2006 and 2017 was extracted retrospectively from a prospectively maintained institutional database. Patients were classified based on their B-GPA and mB-GPA scores. Univariate (UVA) and multivariate analysis (MVA) using the Cox proportional hazard model were performed to investigate the factors prognostic of overall survival (OS). The Kaplan-Meier method was used to estimate OS and log-rank test to compare survival between scores. The performances of B-GPA and mB-GPA were compared using Harrell's concordance index (C-index) and Akaike information criterion (AIC).

RESULTS

In our cohort of 282 patients, the B-GPA and mB-GPA were validated as prognostic tools for OS, demonstrating excellent separation between survival curves (P <0.001). In MVA, we found all components of mB-GPA (age, performance status, number of BM, tumour subtype) to be independent predictors of survival. C-index was 0.64 and AIC was 2,483.39 for B-GPA. mB-GPA demonstrated marginally better discrimination with a C-index of 0.65 and AIC of 2,445.78. Extra-cranial progression was an independent predictor for survival in our population (P <0.001).

CONCLUSIONS

The mB-GPA incorporates four simple clinical variables each of independent prognostic significance. Both B-GPA and mB-GPA demonstrate moderate discriminative capabilities for OS with mB-GPA performing marginally better. Inclusion of extra-cranial disease progression as a factor in future model development may further improve its prognostic value.

Human-specific RNA analysis shows uncoupled epithelial-mesenchymal plasticity in circulating and disseminated tumour cells from human breast cancer xenografts

Blood samples, bone marrow, tumours and metastases where possible were collected from SCID mice bearing orthotopic xenografts of the triple-negative MDA-MB-468 cell line or a transplantable ER-positive patient derived xenograft (ED-03), and assessed using human-specific, tandem-nested RT-qPCR for markers relating to detection of circulating (CTCs) and disseminated tumour cells (DTCs), breast cancer clinicopathology, the 'cancer stem cell' phenotype, metabolism, hypoxia and epithelial-mesenchymal plasticity (EMP). Increased levels of SNAI1, ILK, NOTCH1, CK20, and PGR, and a decrease/loss of EPCAM in CTCs/DTCs were observed relative to the primary xenograft across both models. Decreased CD24 and EGFR was restricted to the MDA-MB-468 model, while increased TFF1 was seen in the ED-03 model. The major metabolic regulator PPARGC1A, and several hypoxia-related markers (HIF1A, APLN and BNIP3) were significantly elevated in both models. Increased expression of mesenchymal markers including SNAI1 was seen across both models, however CDH1 did not decrease concordantly, and several other epithelial markers were increased, suggesting an uncoupling of EMP to produce an EMP hybrid or partial-EMT. Single cell analysis of ED-03 CTCs, although limited, indicated uncoupling of the EMP axis in single hybrid cells, rather than distinct pools of epithelial or mesenchymal-enriched cells, however dynamic heterogeneity between CTCs/DTCs cannot be ruled out. Reduced CD24 expression was observed in the MDA-MB-468 CTCs, consistent with the 'breast cancer stem cell' phenotype, and metastatic deposits in this model mostly resembled the primary xenografts, consistent with the mesenchymal-epithelial transition paradigm.

miR-17-5p promotes migration and invasion in breast cancer cells by repressing netrin 4

Netrin 4 (NTN4) is downregulated in breast cancer (BC) and can inhibit the migration of BC cells. miRNAs dysregulation plays prominent roles in BC tumorigenesis. However, the function of miR-17-5p, its relationship with NTN4 and its underlying functional mechanism in BC are unclear and were investigated in the current study. Compared with normal breast samples, miR-17-5p was upregulated in BC specimens in The Cancer Genome Atlas (TCGA). A clinical analysis based on TCGA showed that miR-17-5p expression correlated with BC tumor stage, lymph node status, estrogen receptor, and progesterone receptor status. A wound-healing assay and Transwell assay implied that miR-17-5p upregulation promotes BC cell migration and invasion. Reverse transcription-quantitative PCR and ELISA showed that NTN4 mRNA and protein were both downregulated after miR-17-5p was overexpressed in Hs578T cells, whereas miR-17-5p inhibition had the opposite effect in MCF-7 cells. We also performed a dual-fluorescent reporter assay, the results of which demonstrated that miR-17-5p represses NTN4 expression by directly targeting the 3' untranslated region of NTN4 mRNA. In summary, miR-17-5p considerably promotes BC cell migration by suppressing NTN4 expression, and may therefore offer a potential therapeutic target for BC.

Baseline serum folate, vitamin B12 and the risk of prostate and breast cancer using data from the Swedish AMORIS cohort

PURPOSE

The roles of folate and vitamin B12 in prostate cancer (PCa) or breast cancer (BC) development are unclear. We investigated their roles using the prospective Swedish Apolipoprotein MOrtality RISk (AMORIS) study.

METHODS

8,783 men and 19,775 women with vitamin B12 and folate serum measurements were included. Their associations with PCa and BC risk categories were evaluated using Cox proportional hazards regression.

RESULTS

During mean follow-up of 13 years, 703 men developed PCa. There was an inverse association between folate > 32 nmol/L and high-risk PCa [hazard ratio (HR) 0.12, 95% confidence interval (CI) 0.02-0.90], and a positive association between folate < 5 nmol/L and metastatic PCa (HR 5.25, 95% CI 1.29-21.41), compared with folate 5-32 nmol/L. No associations with vitamin B12 were found. 795 women developed BC during mean follow-up of 14 years. When restricting to the fasting population, there was a positive association between folate > 32 nmol/L and BC (HR 1.47, 95% CI 1.06-2.04).

CONCLUSION

High folate levels may protect against PCa and low folate levels may increase risk of metastatic PCa. High fasting folate levels may be associated with an increased BC risk. Vitamin B12 was not found to be linked with risk of PCa or BC. Longitudinal studies with serum and dietary information could help define new prevention targets and add information on the role of folate fortification.

Downregulation of hexokinase 2 improves radiosensitivity of breast cancer

Background

Hexokinase 2 (HK2) is a major glycolytic enzyme that plays a critical role in the development of tumor metabolism. Triple negative breast cancers (TNBC) have high glycolytic activity and poor prognosis. This study explored the effect of HK2 on radiotherapy (RT) sensitivity of TNBC.

Methods

The knockdown of HK2 genes in TNBC by lentiviral shRNA was confirmed by quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting. In addition, the boosts of radiation therapy effects of TNBC accompanied by a reduction of HK2 gene were determined by CCK-8, flow cytometry and colonic formation assays. (¹⁸F)-fluorodeoxyglucose (¹⁸F-FDG) uptake was used to evaluate tumor growth before and after radiation therapy in vivo.

Results

After administration of lentiviral shHK2, the expressions of HK2 proteins and mRNA were inhibited effectively. Following exposure to different doses of X-rays, the survival rate of cells and colony formation displayed a decreased trend and the cell apoptosis rate increased in the Lv-shHK2 group (P<0.05). In addition, (¹⁸F)-fluorodeoxyglucose (¹⁸F-FDG) positron emission tomography/computed tomography (PET/CT) imaging showed that compared with control, the maximum standardized uptake value (SUVmax) was lower in the Lv-shHK2 group.

Conclusions

Downregulation of HK2 improved the radiosensitivity of breast cancer (BC).

Behavior and Outcomes of Pregnancy Associated Breast Cancer

Introduction:

Pregnancy Associated Breast cancer (PABC) is associated with poor prognosis and a decreased overall survival. A retrospective review was conducted to review the experience and outcome in a tertiary care hospital, and to compare those seen in a matched group for year of diagnosis.

Materials and Methods:

This is a retrospective review of a prospectively collected breast cancer registry. The study was conducted in a tertiary care hospital in Riyadh, Saudi Arabia from January to Decamber 2014 . Female patients with PABC were identified and matched with similar cohort of non-pregnant breast cancer patients that were diagnosed between 2001-2010. Clinical data including age, tumor biology, clinical stage, follow up and outcomes (disease free survival, DFS) were analyzed and compared between the two groups using SAS 9.3 and R-2.14.1

Results:

A total of 110 patients in Group 1 and 114 patients in Group II were analyzed. In both groups, the patient age ranged was between 20 to 45 years; the median follow up was 34 months in PABC and 54 months in non-pregnant cohort. PABC were statistically more likely to be triple negative (p value-0.05) and diagnosed at advanced stage (stage 3 and 4) (p value-0.02). There was no difference in the occurrence of Her-2 positive disease. In pregnant patients there was a 5-year survival rate of 65% compared to non-pregnant cohort of 82% with p value of 0.002 and DFS was also 47.5% versus 65.4% with a p value .002 which is statistically significant.

Conclusion:

Pregnancy associated breast cancer (PABC) is diagnosed at a more advanced stage and tends to be triple negative and they are associated with a worse DFS and overall survival. Early detection during pregnancy may improve outcome.