Target For Breast Cancer Patients Research Articles

Clinical Significance of FAM83G in Breast Cancer: Association With Triple-negative Subtype and Prognosis.

Family with sequence similarity 83 member G (FAM83G) plays an important role in cancer aggressiveness and patients' prognosis across various types of cancer. However, the association of FAM83G protein expression in breast cancer with clinicopathologic factors, breast cancer subtypes, and prognosis is not well characterized. This study aimed to elucidate the clinical significance of FAM83G protein expression in breast cancer. Immunohistochemistry was employed to examine FAM83G protein expression in 75 breast cancer tissues, assessing its potential as a biomarker for breast cancer patients. The Kaplan-Meier plotter was used to estimate the correlation between FAM83G mRNA expression and survival outcomes in TNBC patients. FAM83G protein was predominantly localized in the cytoplasm of breast cancer cells, exhibiting uniform expression throughout tumor tissues. FAM83G expression was significantly higher in cancerous areas compared to non-cancerous areas. High FAM83G expression was more prevalent in triple-negative breast cancer (TNBC) cases than in hormone receptor-positive cases. Although high FAM83G protein expression did not significantly impact prognosis in our cohort, a large-scale database analysis revealed an association between high FAM83G expression and poor prognosis in TNBC cases. This study demonstrates an association between high FAM83G expression in breast cancer tissues and TNBC. FAM83G may serve as a promising biomarker and therapeutic target for breast cancer patients.

High Glycolytic Activity Signature Reveals CCNB2 as a Key Therapeutic Target in Triple-Negative Breast Cancer.

Aerobic glycolysis and the cell cycle are well-established tumor hallmarks. Understanding their relationship could help to unravel the pathogenic mechanisms of breast cancer (BC) and suggest potential new strategies for treatment. Glycolysis-related genes (GRGs) were downloaded from the Reactome database and screened using univariate Cox analysis. The consensus clustering method was employed to identify a glycolytic activity signature (GAS) using the Gene Expression Omnibus (GEO) dataset. A nomogram risk prediction model was constructed using coefficients from univariate Cox analysis. Immune cell infiltration was evaluated using single-sample gene set enrichment analysis (ssGSEA) and the ESTIMATE algorithm. Gene co-expression modules were created using weighted correlation network analysis (WGCNA) to identify hub genes. Gene expression in three BC cell lines was quantified using Quantitative Reverse Transcriptase Polymera (qRT-PCR). Single-cell RNA sequencing (scRNA-seq) data was used to examine the relationship between GAS and hub genes. The sensitivity of different groups to cell cycle-related clinical drugs was also examined. BC with high GAS (HGAS) showed high tumor grade and recurrence rate. HGAS was a prognostic indicator of worse overall survival (OS) in BC patients. HGAS BC showed more abundant immune cells and significantly higher expression of immunomodulators compared to BC with low GAS (LGAS). HGAS BC also showed enhanced cell cycle pathway, with high mRNA and protein expression levels of Cyclin B2 (CCNB2), a key component of the cell cycle pathway. Importantly, scRNA-seq analysis revealed that elevated CCNB2 expression was positively correlated with HGAS in triple-negative BC (TNBC). This was validated in clinical samples from TNBC patients. High expression of CCNB2 was found in three BC cell lines, and was also an indicator of poor prognosis. HGAS BC showed high sensitivity to several cell cycle-related clinical drugs, with 9 of these also showing activity in BC with high CCNB2 expression. HGAS was associated with enhanced cell cycle pathway and immune activity in BC. These results suggest that CCNB2 is a potential key therapeutic target in BC patients.

Abstract 197: The GPR52-MCAM axis as a novel regulatory mechanism of breast cancer cell clustering and metastatic potential

Abstract Background: Breast cancer is the most diagnosed cancer worldwide and is the second leading cause of cancer death among women in the United States. Despite breakthroughs in targeted therapies for breast cancer, the 5-year survival rate for women with metastatic breast cancer is 30%. There is a strong rationale to explore the therapeutic potential of G-protein coupled receptors (GPCRs), which comprise the largest class of proteins successfully targeted by FDA-approved drugs. Importantly, at least one-third of GPCRs are “orphans” and remain largely uncharacterized. One of these orphan GPCRs is GPR52. To date, there is no literature on the role of GPR52 in any cancer type, but we find from publicly available clinical data that low mRNA expression of GPR52 in breast tumors correlates with reduced overall survival (hazard ratio=0.67 [0.53-0.83], logrank P= 0.00035) and that GPR52 mRNA levels tend to be lower in tumor metastases compared to primary tumor (n>80, p=4.45e-17). Therefore, we hypothesize that loss of GPR52 may support breast cancer metastasis. Results: We used CRISPR-Cas9 to knockout (KO) GPR52 in triple-negative breast cancer cell lines MDA-MB-468 and MDA-MB-231, and in the non-cancerous breast epithelial cell line MCF10A, and confirmed the generation of frameshift mutations by Sanger sequencing. Interestingly, we observed that GPR52 KO cells clustered together in vitro in 2D and hypothesized that this characteristic may allow GPR52 KO breast cancer cells to increase their metastatic potential. We conducted invasion assays though Matrigel and found that GPR52 KO cells were more likely to invade as sheets or clusters. To determine the in vivo impact of GPR52 loss, we injected MDA-MB-468 GPR52 KO cells in zebrafish (Danio rerio) two days post-fertilization and observed that GPR52 loss led to increased metastatic foci and total cancer surface area thirty hours post-injection (n≥12, p<0.05). We determined from RNA-sequencing (n=3, p<.0001) and confirmed with western blotting that the melanoma cell adhesion molecule (MCAM) is upregulated in the MCF10A and MDA-MB-468 GPR52 KO cells. Increased mRNA expression of MCAM has been associated with reduced overall survival in breast cancer patients (hazard ratio=1.33 [1.05-1.62], logrank P= 0.02) Conclusion: Knockout of GPR52 from breast cancer cells promotes increased cell clustering in vitro and metastasis in zebrafish. These data support the investigation of GPR52 as a biomarker of cancer aggression and a potential therapeutic target for breast cancer patients whose tumors express GPR52. Citation Format: Sarah Z. Hanif, CheukMan C. Au, Ingrid Torregroza, Bhavneet Bhinder, Lukas Dow, Olivier Elemento, Todd Evans, Kristy A. Brown. The GPR52-MCAM axis as a novel regulatory mechanism of breast cancer cell clustering and metastatic potential [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 197.

CD-36 variants and circulating miRNAs as prognostic biomarkers and potential therapeutic targets in breast cancer patients

The influence of the CD-36 variant on the susceptibility to breast cancer (BC) and correlations between miRNA-375 / CD-36 axes and breast cancer is still not fully determined. The current study aimed to determine the impact of CD-36 rs1761667 and rs1527483 presence of breast cancer and its prognosis, as well as the relationship between these variants and miRNA-375 and miRNA-155 expression levels as potential biomarkers for BC.Overall, 176 individuals were enrolled in this study, 48 patients with metastatic BC, 50 patients with non-metastatic BC, 43 patients with benign BC, and 35 healthy volunteers. Genotyping and serum expression profiles were assessed using qPCR, and CD-36 was measured by ELISA. The genotype AA of rs1761667 was associated with increased BC occurrence. Serum CD-36 was significantly increased in metastatic BC patients versus healthy controls. In addition, miRNA-155 and miRNA-375 were upregulated in BC.The current study demonstrates that miRNA-375 and CD-36 have the potential to be used as non-invasive prognostic biomarkers for BC.

PROS1, a clinical prognostic biomarker and tumor suppressor, is associated with immune cell infiltration in breast cancer: A bioinformatics analysis combined with experimental verification

BackgroundPROS1 is an encoding gene that can generate protein S. This protein is a glycoprotein found in plasma that conducts physiological functions with vitamin K. However, the impact of its expression remains absent in the progression and prognosis of breast cancer (BC). MethodsIn this study, we comprehensively explored the expression of PROS1 in BC and its relationship with BC patient survival, prognosis, and other clinicopathological features. We investigated how PROS1 influenced the malignant biological behavior of BC cells. A series of enrichment analyses were conducted, and the immune landscape was explored in BC affected by PROS1. We also determined correlations between PROS1 and common drug sensitivities used for BC treatments. ResultsPROS1 had low expression in BC, which tended to result in poor survival of BC patients. Overexpressed PROS1 inhibited the migration and invasion of BC cells as well as the epithelial–mesenchymal transition process by downregulating SNAIL. Functional enrichment analyses revealed that PROS1 was more active in extracellular matrix (ECM) organization and structural constituent, ECM-receptor interaction, and other pathways with its related genes. PROS1 was also found to affect immune activity, including various immune cells infiltrating BC. BC patients with high PROS1 expression tended to have lower IC50 values of three common medications and obtained better efficacy. ConclusionsPROS1 can become a promising prognostic factor and a possible therapeutic target in BC patients and suppress BC cell metastatic potential. In addition, PROS1 is a crucial factor in immune infiltration in BC.

Identification of glycogene-based prognostic signature and validation of B3GNT7 as a potential biomarker and therapeutic target in breast cancer.

Breast cancer is the most common cancer worldwide, with the fifth highest mortality rate among all cancers and high risk of metastasis. However, potential biomarkers and molecular mechanisms underlying the stratification of breast cancer in terms of clinical outcomes remain to be investigated. Therefore, we aimed to find a novel prognostic biomarker and therapeutic target for breast cancer patients. Unsupervised hierarchical clustering was used to perform comprehensive transcriptomic study of total 185 glycogenes in public datasets of breast cancer with clinicopathological and survival information. A glycogene-based signature for subtype classification was discovered using Limma packages, and relevance to four known molecular features was identified by GSVA. Experimental verification was performed and biological functions of B3GNT7 were characterized by quantitative RT-PCR, western blot, transwell assays, and lectin immunofluorescence staining in breast cancer cells. A 23-glycogene signature was identified for the classification of breast cancer. Among the 23 glycogenes, B3GNTs showed significantly positive associations with ER-/Her2- subtype in breast cancer patients (n = 2655). Overexpressed B3GNT7 were correlated with poor prognosis in breast cancer patients based on public datasets. B3GNT7 depletion inhibited cell proliferation, migration, and invasion, and decreased global fucosylation in MDA-MB-231 and HCC1937 breast cancer cells. Herein, we discovered a unique 23-gene signature for breast cancer patient glycogene-type classification. Among these genes, B3GNT7 was shown to be a potential biomarker for unfavorable outcomes and therapeutic target of breast cancer.

Development of a circHIPK3-based ceRNA network and identification of mRNA signature in breast cancer patients harboring BRCA mutation.

Exploring the regulatory network of competing endogenous RNAs (ceRNAs) as hallmarks for breast cancer development has great significance and could provide therapeutic targets. An mRNA signature predictive of prognosis and therapy response in BRCA carriers was developed according to circular RNA homeodomain-interacting protein kinase 3 (circHIPK3)-based ceRNA network. We constructed a circHIPK3-based ceRNA network based on GSE173766 dataset and identified potential mRNAs that were associated with BRCA mutation patients within this ceRNA network. A total of 11 prognostic mRNAs and a risk model were identified and developed by univariate Cox regression analysis and the LASSO regression analysis as well as stepAIC method. Genomic landscape was treated by mutect2 and fisher. Immune characteristics was analyzed by ESTIMATE, MCP-counter. TIDE analysis was conducted to predict immunotherapy. The clinical treatment outcomes of BRCA mutation patients were assessed using a nomogram. The proliferation, migration and invasion in breast cancer cell lines were examined using CCK8 assay and transwell assay. We found 241 mRNAs within the circHIPK3-based ceRNA network. An 11 mRNA-based signature was identified for prognostic model construction. High risk patients exhibited dismal prognosis, low response to immunotherapy, less immune cell infiltration and tumor mutation burden (TMB). High-risk patients were sensitive to six anti-tumor drugs, while low-risk patient were sensitive to 47 drugs. The risk score was the most effective on evaluating patients' survival. The robustness and good prediction performance were validated in The Cancer Genome Atlas (TCGA) dataset and immunotherapy datasets, respectively. In addition, circHIPK3 mRNA level was upregulated, and promoted cell viability, migration and invasion in breast cancer cell lines. The current study could improve the understanding of mRNAs in relation to BRCA mutation and pave the way to develop mRNA-based therapeutic targets for breast cancer patients with BRCA mutation.

BAG2 drives chemoresistance of breast cancer by exacerbating mutant p53 aggregate.

Rationale: Chemoresistance is a major challenge in the clinical management of patients with breast cancer. Mutant p53 proteins tend to form aggregates that promote tumorigenesis in cancers. We here aimed to explore the mechanism for the generation of mutant p53 aggregates in breast cancer and assess its role in inducing chemoresistance. Methods: Expression of BCL2-associated athanogene 2 (BAG2) was evaluated by qRT-PCR, western blotting, and immunohistochemistry in breast cancer patient specimens. The significance of BAG2 expression in prognosis was assessed by Kaplan-Meier survival analysis and the Cox regression model. The roles of BAG2 in facilitating the formation of mutant p53 aggregates were analyzed by co-immunoprecipitation, immunofluorescence, and semi-denaturing detergent-agarose gel electrophoresis assays. The effects of BAG2 on the chemoresistance of breast cancer were demonstrated by cell function assays and mice tumor models. Results: In the present study, we found that BAG2 was significantly upregulated in relapse breast cancer patient tissues and high BAG2 was associated with a worse prognosis. BAG2 localized in mutant p53 aggregates and interacted with misfolded p53 mutants. BAG2 exacerbated the formation of the aggregates and recruited HSP90 to promote the propagation and maintenance of the aggregates. Consequently, BAG2-mediated mutant p53 aggregation inhibited the mitochondrial apoptosis pathway, leading to chemoresistance in breast cancer. Importantly, silencing of BAG2 or pharmacological targeting of HSP90 substantially reduced the aggregates and increased the sensitivity of chemotherapy in breast cancer. Conclusion: These findings reveal a significant role of BAG2 in the chemoresistance of breast cancer via exacerbating mutant p53 aggregates and suggest that BAG2 may serve as a potential therapeutic target for breast cancer patients with drug resistance.

Zinc finger protein 831 promotes apoptosis and enhances chemosensitivity in breast cancer by acting as a novel transcriptional repressor targeting the STAT3/Bcl2 signaling pathway

Emerging evidence suggested that zinc finger protein 831 (ZNF831) was associated with immune activity and stem cell regulation in breast cancer. Whereas, the roles and molecular mechanisms of ZNF831 in oncogenesis remain unclear. ZNF831 expression was significantly diminished in breast cancer which was associated with promoter CpG methylation but not mutation. Ectopic over-expression of ZNF831 suppressed breast cancer cell proliferation and colony formation and promoted apoptosis in vitro, while knockdown of ZNF831 resulted in an opposite phenotype. Anti-proliferation effect of ZNF831 was verified in vivo. Bioinformatic analysis of public databases and transcriptome sequencing both showed that ZNF831 could enhance apoptosis through transcriptional regulation of the JAK/STAT pathway. ChIP and luciferase report assays demonstrated that ZNF831 could directly bind to one specific region of STAT3 promoter and induce the transcriptional inhibition of STAT3. As a result, the attenuation of STAT3 led to a restraint of the transcription of Bcl2 and thus accelerated the apoptotic progression. Augmentation of STAT3 diminished the apoptosis-promoting effect of ZNF831 in breast cancer cell lines. Furthermore, ZNF831 could ameliorate the anti-proliferation effect of capecitabine and gemcitabine in breast cancer cell lines. Our findings demonstrate for the first time that ZNF831 is a novel transcriptional suppressor through inhibiting the expression of STAT3/Bcl2 and promoting the apoptosis process in breast cancer, suggesting ZNF831 as a novel biomarker and potential therapeutic target for breast cancer patients.

The ALDH2, IGSF9, and PRDM16 Proteins as Predictive Biomarkers for Prognosis in Breast Cancer

IntroductionALDH2, IGSF9, and PRDM16 play crucial roles in regulating diverse cellular pathophysiologic functions. The current study was to evaluate the effect of the 3 proteins on clinicopathologic features and prognosis of patients with breast cancer. Materials and MethodsThe formalin-fixed and paraffin-embedded tissue specimens were collected from breast cancer patients by immunohistochemistry (IHC) were analyzed. ResultsOf the 216 patients enrolled, ALDH2 high expression was significantly correlated with the age (p = .040), larger tumor size (p = .001), LVI (p < .001), LNM (p < .001), advanced TNM staging (p < .001), PR (p = .027), HER2 status (p = .002), and molecular subtype (p = .003). IGSF9 low expression was significantly correlated with the LV1 (p = .024), LNM (p = .024), advanced TNM staging (p = .001). The low expression of PRDM16 was significantly correlated with age (p = .023), and LNM (p = .014). The A+I−P− expression (13.4%) were markedly correlated with lymphatic vessel invasion (LVI) (p < .001), lymph node metastasis (LNM) (p < .001), advanced TNM staging (p < .001). Furthermore, patients with A+I−P− expression had significantly advanced-stage breast cancer [stage III (72.4%) vs. (23.0%)]. Univariate and multivariate analysis identified variables (ie, larger tumor size, lymph node involvement, and A+I−P− expression) as independent prognostic factors for survival. ConclusionOur results reveal ALDH2 high expression, IGSF9 and PRDM16 low expression, A+I−P− expression was associated with advanced clinicopathological characteristics, and shorter OS and DFS in breast cancer patients. The 3 proteins may be potential prognosis markers and therapeutic targets for breast cancer patients.

Low TINAGL1 expression is a marker for poor prognosis in breast cancer.

Tubulointerstitial nephritis antigen-like 1 (TINAGL1) was reported to suppress tumor metastasis and growth in triple-negative (TN) breast cancer. We aimed to determine the associations of TINAGL1 expression with clinicopathological factors and prognosis in breast cancer patients with long-term follow-up. A total of 599 consecutive primary invasive breast cancer patients with available tissue specimens from surgery in our hospital were included in the study. TINAGL1 mRNA expression was examined in all 599 tissue specimens using a TaqMan real-time PCR system. TINAGL1 protein expression was further examined in 299 patients with available tissue specimens for immunohistochemical staining. Survival analyses were performed using the Kaplan-Meier method and Cox proportional hazards models. The median follow-up period was 12.0years. In the total patients, low TINAGL1 mRNA expression was associated with significantly shorter disease-free survival (DFS) and overall survival than high expression (P = 0.003 and P = 0.01, respectively). Furthermore, hormone receptor-positive/human epidermal growth factor receptor 2-negative breast cancer patients with low TINAGL1 mRNA expression had a worse prognosis. Multivariate analysis identified low TINAGL1 mRNA expression, combined with lymph node positivity, as an independent poor prognostic factor for DFS in invasive breast cancer patients (HR 1.41; 95% CI 1.02-1.96; P = 0.036). TINAGL1 mRNA expression also varied with menopausal status, with low TINAGL1 mRNA expression being positively associated with poor prognosis in premenopausal patients, but not in postmenopausal patients. Our findings demonstrate that TINAGL1 may be a promising candidate biomarker and therapeutic target in breast cancer patients.

Ceramide Kinase (CERK) Emerges as a Common Therapeutic Target for Triple Positive and Triple Negative Breast Cancer Cells.

Simple SummaryExisting chemotherapy treatments for breast cancer patients are high on toxicity. There are very limited options available for triple-positive breast cancer (TPBC) patients, and there have not been any major breakthrough for targeted therapy for triple-negative breast cancer (TNBC) patients. Therefore, there is a need to identify common therapeutic targets for breast cancer patients. In this manuscript, we compared the sphingolipid profiles of cancer cell lines representing TPBC and TNBC, and correlated these profiles with the proliferation and migration properties the of cell types. We then associated the sphingolipid profiles for each subtype specific cell line with transcriptional and translational expression of corresponding metabolizing enzymes. Our results suggested that ceramide kinase (CERK) that catalyzes the synthesis of ceramide-1-phosphates from ceramides is dysregulated in both cell types. We also showed that the targeting of CERK at transcriptional level by siRNA therapeutics or inhibiting the CERK activity by hydrogel-mediated delivery of chemical inhibitors can be an effective strategy to slow down the tumor progression. Therefore, CERK emerges as a potential therapeutic target that can be explored further for cancer therapy.Sphingolipids are key signaling biomolecules that play a distinct role in cell proliferation, migration, invasion, drug resistance, metastasis, and apoptosis. Triple-negative (ER−PR−HER2−) and triple-positive (ER+PR+HER2+) breast cancer (called TNBC and TPBC, respectively) subtypes reveal distinct phenotypic characteristics and responses to therapy. Here, we present the sphingolipid profiles of BT-474 and MDA-MB-231 breast cancer cell lines representing the TPBC and TNBC subtypes. We correlated the level of different classes of sphingolipids and the expression of their corresponding metabolizing enzymes with the cell proliferation and cell migration properties of BT-474 and MDA-MB-231 cells. Our results showed that each cell type exhibits a unique sphingolipid profile, and common enzymes such as ceramide kinase (CERK, responsible for the synthesis of ceramide-1-phosphates) are deregulated in these cell types. We showed that siRNA/small molecule-mediated inhibition of CERK can alleviate cell proliferation in BT-474 and MDA-MB-231 cells, and cell migration in MDA-MB-231 cells. We further demonstrated that nanoparticle-mediated delivery of CERK siRNA and hydrogel-mediated sustained delivery of CERK inhibitor to the tumor site can inhibit tumor progression in BT-474 and MDA-MB-231 tumor models. In summary, distinct sphingolipid profiles of TPBC and TNBC representing cell lines provide potential therapeutic targets such as CERK, and nanoparticle/hydrogel mediated pharmacological manipulations of such targets can be explored for future cancer therapeutics.

ZNF384–ZEB1 feedback loop regulates breast cancer metastasis

BackgroundBreast cancer has become the most frequently diagnosed cancer worldwide. Increasing evidence indicated that zinc finger proteins (ZNFs), the largest family of transcription factors, contribute to cancer development and progression. Although ZNF384 is overexpressed in several types of human cancer, the role of ZNF384 in breast cancer remains unknown. Therefore, our research focused on ZNF384 regulation of the malignant phenotype of breast cancer and the underlying molecular mechanisms.MethodsCCK-8 and colony formation assays were used to evaluate cell proliferation. Transwell and scratch assays were used to evaluate the cell migration and invasion. Chromatin immunoprecipitation (ChIP)-qPCR and luciferase reporter assays were used to confirm the target relationship between ZNF384 and zinc finger E-box binding homeobox 1 (ZEB1). Xenografts were used to monitor the targets in vivo effects.ResultsWe noted that ZNF384 was significantly overexpressed in breast cancer and highlighted the oncogenic mechanism of ZNF384. ZNF384 transactivated ZEB1 expression and induced an epithelial and mesenchymal-like phenotype, resulting in breast cancer metastasis. Furthermore, ZNF384 may be a target of miR-485-5p, and ZEB1 can up-regulate ZNF384 expression by repressing miR-485-5p expression. Together, we unveiled a feedback loop of ZNF384–ZEB1 in breast cancer metastasis.ConclusionsThe findings suggest that ZNF384 can serve as a prognostic factor and a therapeutic target for breast cancer patients.

Innovative targets of the lncRNA-miR-mRNA network in response to low-dose aspirin in breast cancer patients

This study aimed to investigate innovative targets in breast cancer patients by considering the interaction of the lncRNA-miR-mRNA network in response to low-dose aspirin. The candidate miRs were first taken from the GEO and TCGA databases. Then, the candidate network was constructed using the high-throughput sequencing data. The expression levels of candidate targets were finally measured using Real-Time PCR in luminal A breast cancer patients undergoing aspirin (80 mg daily for three months) and non-aspirin groups during chemotherapy after surgery. The expression levels of TGFβ, IL-17, IFNγ, and IL-β proteins were measured using the ELISA technique. 5 lncRNAs, 12 miRs, and 10 genes were obtained in the bioinformatic phase. A significant expression increase of the candidate tumor suppressor lncRNAs, miRs, and genes and a substantial expression decrease of the candidate onco-lncRNAs, oncomiRs, and oncogenes were achieved after the aspirin consumption. Unlike the non-aspirin group, the expression levels of TGFβ, IL-17, IFNγ, and IL-β proteins were significantly decreased following aspirin consumption. The Kaplan–Meier analysis indicated a longer overall survival rate in the patients after aspirin consumption. Our results showed that the lncRNA-miR-mRNA network might be a significant target for aspirin; their expression changes may be a new strategy with potential efficacy for cancer therapy or prevention.

Emerging Roles of Long Noncoding RNAs in Breast Cancer Epigenetics and Epitranscriptomics.

Breast carcinogenesis is a multistep process that involves both genetic and epigenetic changes. Epigenetics refers to reversible changes in gene expression that are not accompanied by changes in gene sequence. In breast cancer (BC), dysregulated epigenetic changes, such as DNA methylation and histone modifications, are accompanied by epitranscriptomic changes, in particular adenine to inosine modifications within RNA molecules. Factors that trigger these phenomena are largely unknown, but there is evidence for widespread participation of long noncoding RNAs (lncRNAs) that already have been linked to virtually any aspect of BC biology, making them promising biomarkers and therapeutic targets in BC patients. Here, we provide a systematic review of known and possible roles of lncRNAs in epigenetic and epitranscriptomic processes, along with methods and tools to study them, followed by a brief overview of current challenges regarding the use of lncRNAs in medical applications.

Expression and prognosis analysis of mitochondrial ribosomal protein family in breast cancer

Breast cancer (BC) is characterized by high morbidity. Mitochondrial ribosomal protein (MRP) family participates in mitochondrial energy metabolism, underlying BC progression. This study aims to analyze the expression and prognosis effect of the MRP genes in BC patients. GEPIA2, UALCAN, cBioPortal, and MethSurv were used to demonstrate the differential expression, genomic alteration profiles, and DNA methylation of the MRP gene family in BC. Functional enrichment analysis and protein–protein interaction network construction were performed to understand the biological function. Based on 1056 TCGA samples with the transcriptional level of MRPs, Kaplan–Meier curves, Cox, and LASSO regression were applied to explore their prognostic effects. 12 MRPs were upregulated in BC, which were associated with gene amplification and DNA methylation. MRP genetic alteration occurred in 42% of BC patients, and amplification was the most frequent variation. Functioning in its entirety, the MRP family was involved in mitochondrial translational termination, elongation, translation, and poly(A) RNA binding. High expression of MRPL1, MRPL13, MRPS6, MRPS18C, and MRPS35, as well as low levels of MRPL16, and MRPL40 significantly indicated poor prognosis in BC patients. Thus, a novel MRP-based prognostic nomogram was established and verified with favorable discrimination and calibration. We not only provided a thorough expression and prognosis analysis of the MRP family in BC patients but also constructed an MRP-based prognostic nomogram. It was suggested that MRPs acted as biomarkers in individualized risk prediction and may serve as potential therapeutic targets in BC patients.

TRPC5OS induces tumorigenesis by increasing ENO1-mediated glucose uptake in breast cancer

Breast cancer is the most common malignant tumor worldwide and the leading cause of cancer-related deaths in female. Metabolic reprogramming plays critical roles in breast tumorigenesis and induces enhanced glucose uptake and glycolysis. TRPC5OS is encoded by short transient receptor potential channel 5 opposite strand, and predicted to correlate with tumor metabolic reprogramming. Here we aim to elucidate the function of TRPC5OS in aberrant metabolism mediated tumorigenesis. We detected TRPC5OS expression levels in cell lines and tissues by quantitative real-time polymerase chain reaction and immunohistochemistry. Then we assessed the effects of TRPC5OS on proliferation and cell cycle progression in breast cancer cells by cell counting kit-8, colony-formation, EdU-incorporation assays and flow cytometry. Tumor growth in vivo was observed in a mouse xenograft model. Mass spectrum analyses were performed to identify potential interactors of TRPC5OS in tumor cells, and the interaction between TRPC5OS and interactors was validated by co-immunoprecipitation (CO-IP), western blots, and immunofluorescent staining. Glucose uptake was measured by liquid scintillation spectrometry. TRPC5OS highly expresses both in breast tumors and cell lines, and might be an independent prognostic marker for breast cancer patients. Overexpressed TRPC5OS promotes breast cancer cell proliferation, cell cycle progression, and enhances tumor xenograft growth. Mass spectral and CO-IP data showed that TRPC5OS interacts with ENO1. We also demonstrate that TRPC5OS could enhance ENO1/PI3K/Akt-mediated glucose uptake in breast cancer cells. Our study demonstrated that TRPC5OS promotes breast tumorigenesis by ENO1/PI3K/Akt-mediated glucose uptake. TRPC5OS might be an independent prognostic marker and potential therapeutic target for breast cancer patients.

Association of L-type amino acid transporter 1 (LAT1) with the immune system and prognosis in invasive breast cancer

L-type amino acid transporter 1 (LAT1), also referred to as SLC7A5, is believed to regulate tumor metabolism and be associated with tumor proliferation. In invasive breast cancer, we clinicopathologically investigated the utility of LAT1 expression. LAT1 expression was evaluated via immunohistochemistry analyses in 250 breast cancer patients undergoing long-term follow-up. We assessed the relationships between LAT1 expression and patient outcomes and clinicopathological factors. Breast cancer-specific survival stratified by LAT1 expression was assessed. Human epidermal growth factor receptor 2 (HER2)-positive patients with metastasis received trastuzumab therapy. The density of tumor-infiltrating lymphocytes (TILs) was evaluated according to the International Working Group guidelines. In the current study, high LAT1 expression was significantly correlated with estrogen receptor (ER) negativity, progesterone receptor negativity, high histological grade, increased TILs, and programmed death ligand 1 positivity. Among the ER-positive and HER2-negative patients, high LAT1 was an independent indicator of poor outcomes (hazard ratio (HR) = 2.97; 95% confidence interval (CI), 1.16–7.62; p = 0.023). Moreover, high LAT1 expression was an independent poor prognostic factor in luminal B-like breast cancer with aggressive features (HR = 3.39; 95% CI 1.35–8.52; p = 0.0094). In conclusion, high LAT1 expression could be used to identify a subgroup of invasive breast cancer characterized by aggressive behavior and high tumor immunoreaction. Our findings suggest that LAT1 might be a candidate therapeutic target for breast cancer patients, particularly those with luminal B-like type breast cancer.

SETD5 Regulates Glycolysis in Breast Cancer Stem-Like Cells and Fuels Tumor Growth

Although glycolysis plays a pivotal role in breast cancer stem-like cell (BCSC) reprogramming, the molecular mechanisms that couple glycolysis to cancer stem-like cells remain unclear. SETD5 is a previously uncharacterized member of the histone lysine methyltransferase family. The goal of this study was to explore the mechanisms underlying the promotion of stem-like and glycolysis activation traits by SETD5. Previous studies have shown that overexpression of SETD5 in breast cancer tissues is associated positively with progression. The present study showed that SETD5 expression was enriched in BCSCs. Down-regulation of SETD5 significantly decreased BCSC properties and glycolysis invitro and invivo. Interestingly, SETD5 and glycolytic enzymes were accumulated in the central hypoxic regions of subcutaneous tumor tissues. Bioinformatic analysis predicted SETD5 binding to E1A binding protein p300 (EP300), and subsequently to hypoxia-inducible factor 1α (HIF-1α). The mechanistic study found that SETD5 is an upstream effector of EP300/HIF-1α. SETD5 knockdown reduced the expression of HIF-1α, hexokinase-2, and 6-phosphofructo-2-kinase in the nucleus after treatment with cobalt chloride, a chemical hypoxia mimetic agent that activates HIF-1α to accumulate in the nucleus. Therefore, SETD5 is required for glycolysis in BCSCs through binding to EP300/HIF-1α and could be a potential therapeutic target for breast cancer patients.

CEMIP as a potential biomarker and therapeutic target for breast cancer patients.

Purpose: We aimed to evaluate whether CEMIP plays any role in the survival outcome of breast cancer (BC) patients, as well as to explore the regulatory mechanism of CEMIP in BC.Methods: We evaluated the expression and prognostic effect of CEMIP in BC patients using the Oncomine, GEPIA, UALCAN, and Kaplan-Meier plotter databases. Additionally, we detected CEMIP mRNA and protein levels in BC and normal tissues via PCR and western blotting analyses. Through immunochemistry analysis, we quantified CEMIP expression in 233 samples from BC patients. We then analyzed the link between the survival outcomes and CEMIP expression based on these clinical samples. Furthermore, we explored the immune-related molecules regulated by CEMIP and its coexpressed genes using the STRING database.Results: CEMIP expression was higher in BC tissues than in normal tissues. Patients with high CEMIP mRNA levels had a worse survival outcome. Similarly, patients expressing CEMIP had significantly shorter overall survival and disease-free survival than those not expressing the protein (P < 0.01). Some lymphocytes, immune inhibitors, immune stimulators, MHC molecules, chemokines, and chemokine receptors can be regulated by CEMIP, and CEMIP and its coexpressed genes can participate in the hyaluronan biosynthetic process, hyaluronan catabolic process, and other related biological processes in the progression of BC.Conclusion: Compared to normal tissues, BC tissues had higher number of CEMIP transcripts. CEMIP expression was associated with an adverse prognosis. CEMIP and its coexpressed genes can participate in the progression of BC. Therefore, CEMIP may be a potential biomarker for the treatment of BC patients.