Significance In Breast Cancer Research Articles

Identification of HOXC Gene Family as Prognostic and Immune-Related Biomarkers in Breast Cancer Through mRNA Transcriptional Profile and Experimental Validation.

Breast cancer (BC) is the most common malignancy in women worldwide, and more effective biomarkers are urgently needed for the prevention and treatment of BC. Our study aimed to investigate the role of the HOXC gene family (HOXCs) and its relationship with the immune response in BC. The differential expression of HOXCs and its clinical prognostic significance in BC were explored using bioinformatics analysis, and the cBioPortal database was used to evaluate the genetic mutation profile of the HOXCs in BC. The results indicated that the expression levels of HOXC4, 10, 11, 12, and 13 were significantly increased in BC tissues compared with the normal tissues, and expressions of these genes were closely associated with BC stage, among them, high expression levels of HOXC10 and HOXC13 predicted poor outcome in BC patients. In addition, to elucidate the essential role of HOXCs in the tumor microenvironment and immunotherapeutic response of BC, the impact of HOXCs on the regulation of immune infiltration in BC was comprehensively assessed. The result showed thatHOXC10 and HOXC13 expressions were significantly positively linked with the infiltration levels of CD8+T cell and M1 macrophage, while they werenegatively related to Mast and Natural killer cells, suggesting the important influence of HOXCs on regulating tumor immunity in BC patients. Lastly, the RT-qPCR assay was employed to validate HOXCs expression in samples of BC patients. In conclusion, HOXCs may be a promising prognostic indicator and couldregulate the immune infiltration in BC patients, thus being apromising targeted immunotherapy for BC.

Deciphering the TCF19/miR-199a-5p/SP1/LOXL2 pathway: Implications for breast cancer metastasis and epithelial-mesenchymal transition

Globally, breast cancer (BC) is the predominant malignancy with a significant death rate due to metastasis. The epithelial-mesenchymal transition (EMT) is a fundamental initiator for metastatic progression. Through advanced computational strategies, TCF19 was identified as a critical EMT-associated gene with diagnostic and prognostic significance in BC, based on a novel EMT score. Molecular details and the pro-EMT impact of the TCF19/miR-199a-5p/SP1/LOXL2 axis were explored in BC cell lines through in vitro validations, and the oncogenic and metastatic potential of TCF19 and LOXL2 were investigated using subcutaneous and tail-vein models. Additionally, BC-specific enrichment of TCF19 and LOXL2 was measured using a distribution landscape driven by diverse genomic analysis techniques. Molecular pathways revealed that TCF19-induced LOXL2 amplification facilitated migratory, invasive, and EMT activities of BC cells in vitro, and promoted the growth and metastatic establishment of xenografts in vivo. TCF19 decreases the expression of miR-199a-5p and alters the nuclear dynamics of SP1, modulating SP1’s affinity for the LOXL2 promoter, leading to increased LOXL2 expression and more malignant characteristics in BC cells. These findings unveil a novel EMT-inducing pathway, the TCF19/miR-199a-5P/SP1/LOXL2 axis, highlighting the pivotal role of TCF19 and suggesting potential for novel therapeutic approaches for more focused BC interventions.

ONECUT2 is a druggable driver of luminal to basal breast cancer plasticity.

Tumor heterogeneity complicates patient treatment and can be due to transitioning of cancer cells across phenotypic cell states. This process is associated with the acquisition of independence from an oncogenic driver, such as the estrogen receptor (ER) in breast cancer (BC), resulting in tumor progression, therapeutic failure and metastatic spread. The transcription factor ONECUT2 (OC2) has been shown to be a master regulator protein of metastatic castration-resistant prostate cancer (mCRPC) tumors that promotes lineage plasticity to a drug-resistant neuroendocrine (NEPC) phenotype. Here, we investigate the role of OC2 in the dynamic conversion between different molecular subtypes in BC. We analyze OC2 expression and clinical significance in BC using public databases and immunohistochemical staining. In vitro, we perform RNA-Seq, RT-qPCR and western-blot after OC2 enforced expression. We also assess cellular effects of OC2 silencing and inhibition with a drug-like small molecule in vitro and in vivo. OC2 is highly expressed in a substantial subset of hormone receptor negative human BC tumors and tamoxifen-resistant models, and is associated with poor clinical outcome, lymph node metastasis and heightened clinical stage. OC2 inhibits ER expression and activity, suppresses a gene expression program associated with luminal differentiation and activates a basal-like state at the gene expression level. We also show that OC2 is required for cell growth and survival in metastatic BC models and that it can be targeted with a small molecule inhibitor providing a novel therapeutic strategy for patients with OC2 active tumors. The transcription factor OC2 is a driver of BC heterogeneity and a potential drug target in distinct cell states within the breast tumors.

Antioxidant, Antimicrobial Properties of Prangos ferulacea and Importance in the Treatment of Breast Cancer

The article presents information on the antioxidant properties of the Prangos ferulacea (L.) Lindl. plant in the treatment of breast cancer and its significance in breast cancer based on literature data and research results. Treatment with plants and plant ingredients is one of the main methods of cancer treatment. In the world, women suffer from breast cancer. Prevention of this disease both in quantity and efficiency, treatment with plants gives more positive results. To fully understand the therapeutic potential of Prangos ferulacea species in the treatment of disease. This plant is also used for treatment and other purposes.

Serine Protease 27, a Prognostic Biomarker in Pan-cancer and Associated with the Aggressive Progression of Breast Cancer.

To create effective medicines, researchers must first identify the common or unique genes that drive oncogenic processes in human cancers. Serine protease 27 (PRSS27) has been recently defined as a possible driver gene in esophageal squamous cell carcinoma. However, no thorough pan-cancer study has been performed to date, including breast cancer. Using the TCGA (The Cancer Genome Atlas), the GEO (Gene Expression Omnibus) dataset, and multiple bioinformatic tools, we investigated the function of PRSS27 in 33 tumor types. In addition, prognosis analysis of PRSS27 in breast cancer was carried out, as well as in vitro experiments to verify its role as an oncogene. We first explored the expression of PRSS27 in over 10 tumors and then we looked into PRSS27 genomic mutations. We discovered that PRSS27 has prognostic significance in breast cancer and other cancers' survival, and we developed a breast cancer prognostic prediction model by combining a defined set of clinical factors. Besides, we confirmed PRSS27 as an oncogene in breast cancer using some primary in vitro experiments. Our pan-cancer survey has comprehensively reviewed the oncogenic function of PRSS27 in various human malignancies, suggesting that it may be a promising prognostic biomarker and tumor therapeutic target in breast cancer.

Clinicopathological Significance and Prognostic Role of High Mobility Group Box 1 (HMGB1), Toll-Like Receptor (TLR) 2 and TLR4 in Breast Cancer.

High-mobility group box 1 (HMGB1) functions as damage-associated molecular pattern (DAMPs), released into extracellular space during cellular stress. Extracellular HMGB1 act as signal molecules through Toll-like receptor (TLR) 2 or TLR4, exerting diverse functions in both normal cells and malignant cells including breast cancer. However, their comprehensive examination in breast cancer tissues is lacking. Thus, we immunolocalized them in 112 breast cancer tissues, correlating their immunoreactivity with clinicopathological parameters and clinical outcomes to clarify their significance in breast cancer. We demonstrated that nuclear HMGB1 immunoreactivity was correlated with tumor progression and longer disease-free survival. In contrast, TLR2 immunoreactivity was correlated with increased cell proliferation and shorter disease-free survival, dependent on cytoplasmic HMGB1 immunoreactivity. Additionally, TLR4 immunoreactivity correlated with chemoresistance, regardless of cytoplasmic HMGB1 immunoreactivity. It was therefore considered that TLR2 collaboratively contributed to breast cancer progression with HMGB1-DAMPs to become a worse prognostic factor. Meanwhile, TLR4 served as a worse prognostic factor associated with chemoresistance, irrespective of HMGB1.

Abstract LB394: Tumor evolution upon treatment pressure with aromatase inhibitors in locally advanced estrogen receptor positive breast cancer

Abstract BackgroundAromatase inhibitors (AIs) are commonly used in the management of estrogen receptor-positive (ER+) breast cancer as they effectively reduce estrogen levels which inhibits tumor growth and recurrence. Aromatase inhibitors are increasingly used in selected patients as neoadjuvant therapy. Clinical trialThe NEOLETEXE is a neoadjuvant, randomized, open-label, intra-patient, cross-over, single-center phase II clinical trial, aimed to treat postmenopausal patients with locally advanced breast cancer. Most patients presented large T3/T4 tumors and/or N2/N3 involvement. Patients were randomly assigned to neoadjuvant therapy with either letrozole (2.5 mg daily) or exemestane (25 mg daily) for 3 months followed by a cross-over to the alternative AI for another 3 months followed by surgery. A total of 102 patients were enrolled in the NEOLETEXE trial. Aim of the studyWe aimed to compare clones derived from bulk exome sequencing with single-cell analyses at DNA and RNA level from the same tumors at different time points of treatment in order to characterize evolutionary trajectories of cancer and immune cells in 23 patients at scRNA level and 16 patients at scDNA level from the NEOLETEXE trial. MethodsTumor biopsies taken before treatment (baseline) at crossover (after 3 months) and end of neoadjuvant therapy (after 6 months), were analyzed by single-cell DNA (MissionBio) and scRNA (10xGenomics), T cell receptor (TCR), and B cell receptor (BCR) sequencing. Results We employed the The Mission Bio Tapestri Platform, which enables targeted scDNAseq of nuclei isolated from fresh frozen tumor tissue using microfluid droplet technology. A custom panel of 497 amplicons covering 528 sequence variants was designed to study treatment response selected by the following criteria: 1) Up to 10 mutations from each sublonal clusters defined by analysing 32 samples (3 time points) from 11 NeoLetExe patients with whole exome sequencing (WES) data prioritizing mutations in genes part of the Cancer Gene Census (COSMIC), 2) known mutations covering all chromosomes to enable CNV analysis and 3) “Hand-picked” mutations with significance for breast cancer (e.g. hotspot ESR1 mutations). We performed SNV and CNV analysis and reconstruction of mutational lineages with user developed tools. On average, 81% of the clusters defined by WES was validated by scDNAseq and copy number profiles matching between the two data sets. Fishplot with variants defining cell clusters in WES using data from scDNAseq show clonal development during treatment.The scRNA analyses revealed cell types were identified through clustering of the scRNA data. We focused on the epithelial cells to first distinguish between the normal and malignant epithelial cells using the InferCNV algorithm. We next examined CD4, CD8, NK cells, and macrophages, using RNA velocity and diffusion pseudotime using CellRank and scVelo to delineate the differentiation trajectories of immune cell types. Conclusions We created a detailed map that provides a high-resolution view of the diverse clones and cell types present in tumor biopsies from the NEOLETEXE trial. We characterize the impact of therapies on the evolutionary dynamics of both cancer and immune cells. Our analyzes sought insights into the underlying factors that contribute to the sensitivity and resistance to aromatase inhibitors. Citation Format: Vessela N. Kristensen, Grethe I. Alnaes, Patrik Vernhoff, Leonard Schmiester, Salim Ghannoum, Marie Fongaard, Paal M. Bjornstad, Knut Selsaas, Stephanie Geisler, Manouchehr Seyedzadeh, Unn-Cathrin Buvarp, Torben Luders, Diether Lambrechts, Marianne Lyngra, Arnoldo Frigessi, Xavier Tekpli, Jurgen Geilser. Tumor evolution upon treatment pressure with aromatase inhibitors in locally advanced estrogen receptor positive breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB394.

Targeting Interleukin-13 Receptor α2 and EphA2 in Aggressive Breast Cancer Subtypes with Special References to Chimeric Antigen Receptor T-Cell Therapy.

Breast cancer (BCA) remains the leading cause of cancer-related mortality among women worldwide. This review delves into the therapeutic challenges of BCA, emphasizing the roles of interleukin-13 receptor α2 (IL-13Rα2) and erythropoietin-producing hepatocellular receptor A2 (EphA2) in tumor progression and resistance. Highlighting their overexpression in BCA, particularly in aggressive subtypes, such as Her-2-enriched and triple-negative breast cancer (TNBC), we discuss the potential of these receptors as targets for chimeric antigen receptor T-cell (CAR-T) therapies. We examine the structural and functional roles of IL-13Rα2 and EphA2, their pathological significance in BCA, and the promising therapeutic avenues their targeting presents. With an in-depth analysis of current immunotherapeutic strategies, including the limitations of existing treatments and the potential of dual antigen-targeting CAR T-cell therapies, this review aims to summarize potential future novel, more effective therapeutic interventions for BCA. Through a thorough examination of preclinical and clinical studies, it underlines the urgent need for targeted therapies in combating the high mortality rates associated with Her-2-enriched and TNBC subtypes and discusses the potential role of IL-13Rα2 and EphA2 as promising candidates for the development of CAR T-cell therapies.

Blood-based microRNA profiling unveils complex molecular dynamics in breast cancer.

Breast cancer, a genetically intricate disease with diverse subtypes, exhibits heightened incidence globally. In this study, we aimed to investigate blood-based microRNAs (miRNAs) as potential biomarkers for breast cancer. The primary objectives were to explore the role of miRNAs in cancer-related processes, assess their differential expression between breast cancer patients and healthy individuals, and contribute to a deeper understanding of the molecular underpinnings of breast cancer. MiRNA extraction was performed on 40 breast cancer patients and adjacent normal tissues using a commercial RNA isolation kit. Total RNA quantification and quality assessment were conducted with advanced technologies. MiRNA profiling involved reverse transcription, labeling, and hybridization on Agilent human miRNA arrays (V2). Bioinformatics analysis utilized the DIANA system for target gene prediction and the DIANA-mirPath tool for pathway enrichment analysis. Selected miRNAs underwent validation through quantitative real-time PCR. Principal component analysis revealed overlapping miRNA expression patterns in primary and malignant breast tumors, underscoring the genetic complexity involved. Statistical analysis identified 54 downregulated miRNAs in malignant tumors and 38 in primary tumors compared to controls. Bioinformatics analysis implicated several pathways, including Wnt, TGF-b, ErbB, and MAPK signaling. Validation through qRT-PCR confirmed altered expression of hsa-miR-130a, hsa-miR-21, hsa-miR-223, and hsa-let-7c key miRNAs, highlighting their significance in breast cancer. The results from microarray were further validated by qPCR and the expression of which are downregulated in breast cancer was detected. This study provides significant insights into distinct miRNA expression patterns in normal and malignant breast tissues. The overlapping miRNA profiles in primary and malignant tumors underscore the complexity of genetic regulation in breast cancer. The identification of deregulated miRNAs and affected pathways contributes to our understanding of breast cancer pathogenesis. The validated miRNAs hold potential as diagnostic and prognostic markers, offering avenues for further clinical exploration in breast cancer research.

Upregulation of vesicle-associated membrane protein 7 in breast cancer tissues.

Vesicle-associated membrane protein 7 (VAMP7) plays oncogenic roles in cancers. However, its clinical significance in breast cancer (BC) tissues remains unknown. To elucidate the clinical implications of VAMP7, as well as its involvement in the tumor microenvironment and molecular pathways of breast cancer. BC (n=100) and non-cancerous breast tissues (n= 100) were collected for an immunohistochemical experiment (1:200). The protein expression level of VAMP7 was determined by using a semi-quantitative scoring method. High-throughput RNA-sequencing data of BC tissues were analyzed to confirm the mRNA expression trend of VAMP7. Additionally, the largest BC prognosis cohort data were collected to mine the potential impact VAMP7 has on BC progression. The association between VAMP7 and the microenvironment of BC was evaluated by using a CIBERSORT algorithm. Moreover, we explored the co-expressed molecular mechanisms of VAMP7 in BC by calculating Pearson correlation coefficients and overexpressed genes. Finally, the biological mechanism underlying the relationship between VAMP7 and the key pathways was also explored using gene set enrichment analysis (GSEA). Potential therapeutic strategies were predicted targeting VAMP7. VAMP7 protein was significantly over-expressed in BC tissue than that in controls (p< 0.001). Compared with 459 normal breast tissues and 113 non-cancerous breast tissues, the expression level of VAMP7 mRNA was significantly increased in 1111 BC tissues. CD4+T cells, macrophages, and naïve B cells had a higher infiltration rate in BC tissues with high VAMP7 expression, while regulatory T cells and CD8+T cells had a lower infiltration rate. Over-expressed VAMP7 was associated with macrophages activation and transition from M1 to M2 polarization. Upregulated VAMP7 could predicted poorer OS, DMFS, PPS, and RFS outcomes. Upregulated VAMP7 co-expressed genes were significantly enriched in the cell cycle checkpoints. GSEA confirmed that over-expressed VAMP7 are markedly associated with functional enrichment in cell cycle related categories, including mitotic spindle, G2M checkpoint, and E2F targets. KU-55933 was predicted as a putative therapeutic drug for BC targeting VAMP7. VAMP7 was upregulated in BC tissue and correlated with poor prognosis of BC patients. VAMP7 may promote BC progression by targeting the cell cycle pathway.

An ensemble of bioinformatics and machine learning approaches to identify shared breast cancer biomarkers among diverse populations

Breast cancer continues to be a prominent cause for substantial loss of life among women globally. Despite established treatment approaches, the rising prevalence of breast cancer is a concerning trend regardless of geographical location. This highlights the need to identify common key genes and explore their biological significance across diverse populations. Our research centered on establishing a correlation between common key genes identified in breast cancer patients. While previous studies have reported many of the genes independently, our study delved into the unexplored realm of their mutual interactions, that may establish a foundational network contributing to breast cancer development. Machine learning algorithms were employed for sample classification and key gene selection. The best performance model further selected the candidate genes through expression pattern recognition. Subsequently, the genes common in all the breast cancer patients from India, China, Czech Republic, Germany, Malaysia and Saudi Arabia were selected for further study. We found that among ten classifiers, Catboost exhibited superior performance with an average accuracy of 92%. Functional enrichment analysis and pathway analysis revealed that calcium signaling pathway, regulation of actin cytoskeleton pathway and other cancer-associated pathways were highly enriched with our identified genes. Notably, we observed that these genes regulate each other, forming a complex network. Additionally, we identified PALMD gene as a novel potential biomarker for breast cancer progression. Our study revealed key gene modules forming a complex network that were consistently expressed in different populations, affirming their critical role and biological significance in breast cancer. The identified genes hold promise as prospective biomarkers of breast cancer prognosis irrespective of country of origin or ethnicity. Future investigations will expand upon these genes in a larger population and validate their biological functions through in vivo analysis.

Abstract C018: Prognostic worth of Nrf2/BACH1/HO-1 signals in the development of breast cancer

Abstract Nrf2/BACH1/HO-1 signals have been implicated in the development and progression of tumors. However, there has been no comprehensive analysis of their expressions in breast cancer. This study evaluated Nrf2/BACH1/HO-1 signals expression and its clinical significance in breast cancer. 114 female breast cancer of different pathologic parameters and non-cancerous tissues were evaluated for Nrf2/BACH1/HO-1 signals expression using immunohistochemistry and western blot. The relationship connecting Nrf2/BACH1/HO-1 expression and clinicopathologic factors were assessed using the chi-square test. Nrf2 protein in cancerous tissues (74%) was significantly higher than in the non-cancerous tissues (43% p &amp;lt; 0.002), BACH1 expression in cancerous tissues (61%) was significantly lower than that of non-cancerous tissues (20% p &amp;lt; 0.031) and HO-1 protein expression in cancerous tissues (67%) was highly significant than in the non-cancerous tissues (17% p &amp;lt; 0.001). The expressions of Nrf2 and HO-1 significantly correlated with tumor grade whilst BACH1 was significantly associated with tumor stage (p &amp;lt; 0.05). Nrf2, BACH1 and HO-1 play key roles in the growth and development of breast cancer and can serve as probable biological markers for breast cancer diagnosis, prognosis as well as therapeutic targets. Citation Format: Precious Barnes, Roland Osei Saahene. Prognostic worth of Nrf2/BACH1/HO-1 signals in the development of breast cancer [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr C018.

PATHOLOGICAL SIGNIFICANCE OF CDH1/E-CADHERIN GERMLINE SEQUENCE VARIANTS IN BREAST CANCER PATIENTS.

Germline alterations of the CDH1 (E-cadherin) tumor suppressor gene have been reported in several epithelial malignancies like hereditary diffuse gastric cancer and lobular breast cancer. E-cadherin plays a central role in proliferation, maintenance of cell-to-cell adhesion, polarity, and epithelial-mesenchymal transition of tissue cells. It is necessary to analyze the impact of the CDH1 germline sequence variants on protein and predict its clinical significance in breast cancer (BC) progression. The aim of the current study was to evaluate the impact and association of CDH1 gene potentially pathogenic variants/likely pathogenic variants (PVs/LPVs) with the initiation and progression of BC. In this study, the clinical data of 200 BC patients have been analyzed based on the type of BC, age, grade, stage, hormonal status, and risk factors. Blood samples from 50 healthy donors were used as a control. Furthermore, CDH1 gene molecular analysis, along with in silico analysis, was provided to assess the invasiveness and progression of BC caused by the E-cadherin protein. Four variants were identified by genetic screening within the CDH1 gene that included variations in exons 7, 8, 10, 11, and 13. Exon 10 had splice site mutation at position c.1337C>A, affecting the protein structure. In exon 11, there was an insertion of T base at position 1669, resulting in truncated protein compared to a normal one that can lead to the disease-causing non- sense-mediated decay and exon 13 variant c.2076T>C has already known polymorphism. In silico analysis of CDH1 showed the presence of the different variants that indicated the overall disruption of protein structure and function. The further functional analysis of these variants and their association with BC can be ensured by increasing the sample size and in vivo studies using mouse models.

Comprehensive Analysis of SLC35A2 in Pan-Cancer and Validation of Its Role in Breast Cancer.

Elucidation of the oncogenic role of SLC35A2 in human tumors and the potential function and clinical significance in breast cancer. Pan-cancer analysis was performed via various bioinformatics tools to explain the pathogenic role of SLC35A2. A prognostic nomogram was also developed based on the SLC35A2 expression and clinicopathological characteristics in breast cancer patients. In addition, the role of SLC35A2 was validated in breast cancer by in vivo and in vitro experiments. SLC35A2 expression is increased in 27 tumor types, and its high expression is substantially correlated with poor prognosis in patients with a variety of cancers. Receiver operating characteristic (ROC) curves showed that SLC35A2 expression levels could accurately distinguish most tumor tissues from normal tissues. High SLC35A2 expression was linked to increased immune infiltration in myeloid-derived suppressor cells (MDSC), as well as immune checkpoints, ferroptosis-related genes, tumor mutational burden (TMB), and microsatellite instability (MSI). SLC35A2 may be involved in tumorigenesis by regulating the glycosylation process. Furthermore, multivariate Cox analysis showed that SLC35A2 was an independent prognostic factor for breast cancer. And the nomogram model had good predictive accuracy for the prognosis of breast cancer patients. Meanwhile, cellular experiments demonstrated that knockdown of SLC35A2 could significantly inhibit the proliferation, migration and invasion of breast cancer cells, while increasing the protein level of E-cadherin and decreasing N-cadherin. A nude mouse xenograft model showed that inhibition of SLA35A2 expression could significantly inhibit tumor growth. SLC35A2 has good diagnostic and prognostic values in multiple cancers and is closely related to tumor immune infiltration. In addition, SLA35A2 as an oncogene in breast cancer may be involved in the progression of epithelial mesenchymal transition (EMT).

Integrative multi-omics analyses unravel the immunological implication and prognostic significance of CXCL12 in breast cancer.

CXCL12 is a vital factor in physiological and pathological processes, by inducing migration of multiple cells. We aimed to comprehensively detect the role of CXCL12 in breast cancer, and explore novel CXCL12-related biomarkers through integrative multi-omics analyses to build a powerful prognostic model for breast cancer patients. Immunohistochemistry analysis of the tissue microarray was performed to evaluate the correlation between CXCL12 expression levels and breast cancer patient outcomes. Combined single-nucleus and spatial transcriptomics data was used to uncover the expression distribution of CXCL12 in breast cancer microenvironment. CXCL12-related genes were identified by WGCNA analysis. Univariate Cox and LASSO regression analyses were then conducted to screen prognostic genes from above CXCL12-related genes, followed by the construction of the CXCL12-related prognostic signature, identification of risk groups, and external validation of the prognostic signature. Analyses of biological function, mutation landscape, immune checkpoint genes and immune cells, were performed to further reveal the differences between high/low-risk groups. Paired single-cell RNA-seq and bulk RNA-seq were analyzed to further disclose the association between the risk score and the complex tumor immune microenvironment. To screen potential therapeutic agents for breast cancer patients, analyses of gene-drug correlation and sensitivity to immunotherapy were conducted. High expression of CXCL12 was linked with a prolonged survival in breast cancer. A total of 402 genes were identified by WGCNA analysis and 11 genes, covering VAT1L, TMEM92, SDC1, RORB, PCSK9, NRN1, NACAD, JPH3, GJA1, BMP8B and ADAMTS2, were screened as the candidate prognostic genes. Next, the prognostic signature was built and validated using these genes to predict the outcomes of breast cancers. The high-risk group patients exhibited significantly inferior prognoses. The combination of the risk score and tumor mutational burden (TMB) had remarkably improved performance in predicting patient outcomes. Besides, high-risk group patients showed higher infiltration of M2-like macrophages. Finally, several potential anticancer drugs were identified. The high-risk group patients were more sensitive to immunotherapy but resistant to docetaxel. CXCL12 has important immunological implication and prognostic significance in breast cancer. The CXCL12-related prognostic model could well predict the prognosis and treatment response of breast cancers.

Evaluating the role of MEN1 gene expression and its clinical significance in breast cancer patients.

Breast cancer is a multifactorial disease which involves number of molecular factors that are critically involved in proliferation of breast cancer cells. MEN1 gene that is traditionally known for its germline mutations in neuroendocrine tumors is associated with high risk of developing breast cancer in females with MEN1 syndrome. However, the paradoxical role of MEN1 is reported in sporadic breast cancer cases. The previous studies indicate the functional significance of MEN1 in regulating breast cells proliferation but its relevance in development and progression of breast cancer is still not known. Our study targets to find the role of MEN1 gene aberration and its clinical significance in breast cancer. Breast tumor and adjacent normal tissue of 142 sporadic breast cancer patients were collected at the time of surgery. The expression analysis of MEN1 mRNA and protein was done through RT-PCR, immunohistochemistry and western blotting. Further to find the genetic and epigenetic alterations, automated sequencing and MS-PCR was performed respectively. Correlation between our findings and clinical parameters was determined using appropriate statistical tests. MEN1 expression was found to be significantly increased in the breast tumor tissue with its predominant nuclear localization. The elevated expression of MEN1 mRNA (63.38% cases) and protein (60.56% cases) exhibited a significant association with ER status of the patients. Most of the cases had unmethylated (53.52%) MEN1 promoter region, which can be a key factor responsible for dysregulated expression of MEN1 in breast cancer cases. Our findings also revealed the significant association of MEN1 mRNA overexpression with Age and lymph node status of the patients. Our results indicate upregulated expression of MEN1 in sporadic breast cancer patients and it could be critically associated with development and advancement of the disease.

Can Caspase-3 act as a potential prognostic biomarker in breast cancer? - A retrospective pilot study in central India

Background: Caspase-3 is involved in the apoptosis induced by many agents, including antineoplastic drugs in cancers. Loss of caspase-3 expression and activity has been reported in primary human breast cancers. It is suggested that it might promote tumour development by preventing and reducing senescence. It was a retrospective observational pilot study aimed to evaluate the prognostic potential role of caspase-3 in breast cancer patients.Method: It was a retrospective observational pilot study in which fifty breast cancer patients were enrolled. Haematoxylin and eosin-stained slides of the cases were screened to obtain the best paraffin block for IHC, on which immunohistochemical expression of caspase-3 marker was done and studied. It was correlated with the known prognostic markers of breast cancer.Results: Out of 21 cases with moderate caspase-3 staining, 85.7% cases were grade III and 14.2% were grade II. From 16 cases with strong caspase-3 staining, 75% cases were grading III followed by 25% cases of grade II. There was no significant correlation between caspase-3 staining with histological grade, size of tumour, lymph node involvement, ER, PR and Her2/neu status (p=0.68, 0.24, 0.20, 0.68, 0.45 and 0.11 respectively). Correlation of survival was significantly associated with lymph node involvement (p=0.01) while it was insignificant for tumour size and histological grade (p=0.36 and 0.42 respectively).Conclusion: The survival of breast cancer patients was correlated only with lymph node metastasis. It was better with smaller number of lymph node involvement. While, Caspase-3 did not have any direct association with prognostic markers of breast carcinoma like tumour size, grade of tumour, lymph node and ER, PR and HER-2/neu status. It can be probably used as a prognostic biomarker in future if bigger study is able to establish the significance in breast cancer.

Prognostic and Immunological Roles of CES2 in Breast Cancer and Potential Application of CES2-Targeted Fluorescent Probe DDAB in Breast Surgery.

The expression and function of CES2 in breast cancer (BRCA) has not been fully elucidated. The purpose of this study was to investigate its clinical significance in BRCA. Bioinformatics analysis tools and databases, including The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) databases, SURVIVAL packages, STRING database, Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, Gene set variation analysis (GSVA), and Tumor Immunity Estimation Resource (TIMER), were utilized to measure the expression level and clarify the clinical significance of CES2 in BRCA. In addition, we verified the expression level of CES2 in BRCA at the cellular and tissue levels by Western blot, immunohistochemistry (IHC) and real-time fluorescence quantitative PCR assays. Furthermore, DDAB is the first reported near-infrared fluorescent probe that can be used to monitor CES2 in vivo. We applied the CES2-targeted fluorescent probe DDAB in BRCA for the first time and verified its physicochemical properties and labeling sorting ability by CCK-8, cytofluorimetric imaging, flow cytometry fluorescence detection, and isolated human tumor tissue imaging assays. The expression of CES2 was higher in normal tissues than that in BRCA tissues. Patients with lower CES2 expression in the BRCA T4 stage had a poorer prognosis. Finally, we applied the CES2-targeted fluorescent probe DDAB in BRCA for the first time, which was demonstrated to have good cellular imaging performance with low biological toxicity in BRCA cells and ex vivo human breast tumor tissue models. CES2 can be considered a potential biomarker to predict the prognosis of breast cancer at stage T4 and might contribute to the development of immunological treatment strategies. Meanwhile, CES2 is able to distinguish between breast normal and tumor tissues, the CES2-targeting NIR fluorescent probe DDAB may have potential for surgical applications in BRCA.

Identification of GZMA as a Potential Therapeutic Target Involved in Immune Infiltration in Breast Cancer by Integrated Bioinformatical Analysis.

Granzyme A (GZMA) is a potential prognostic target for various cancer types. However, its therapeutic significance in breast cancer with immune infiltration remains controversial. We analyzed GZMA expression and its prognostic value in breast cancer with immune cell infiltration. Data was obtained from patients with breast cancer registered at The Cancer Genome Atlas. A correlation was performed between GZMA expression and patient's clinicopathological features such as age, pathologic stage, metastasis stage, overall survival (OS), disease-specific survival (DSS), and progress free interval (PFI). Kaplan-Meier analyses and Cox proportional hazard regression model were used to examine the predictive significance of GZMA expression for breast cancer. The co-expression pattern of GZMA was assessed by the LinkedOmics web portal. The relationship between GZMA expression and immune cells was analyzed using the TIMER database. The correlation between GZMA and lymphocytes and immunomodulators was established with the TISIDB database. There was a lower GZMA expression in breast cancer tissue than in normal tissue. Interestingly, GZMA expression was associated with age, pathologic stage, and the Tumour, Node, and Metastasis stage. Overexpression of GZMA was also associated with better OS, DSS, and PFI. Based on the Cox regression analysis, GZMA was identified as an independent favorable prognostic factor for breast cancer. Our findings demonstrated a strong association between GZMA and T-cell checkpoints (PD-1, PD-L1, and cytotoxic T lymphocyte-associated antigen (CTLA-4)) in breast cancer. Moreover, we evaluated the interactions between GZMA expression and markers of dendritic and CD8+ T cells using quantitative immunofluorescence. We discovered that increased infiltration of dendritic and CD8+ T cells was associated with GZMA expression in breast cancer. GZMA expression is associated with a favorable prognosis in breast cancer and is significantly correlated with immune cell infiltration. GZMA may be considered a promising therapeutic target for patients with breast cancer.

Comprehensive analysis of NT5DC family prognostic and immune significance in breast cancer.

Among the most common malignancies, breast cancer has a high incidence and mortality rate. NT5DC family is a highly well-conserved 5'-nucleotidase. Previous studies showed that the progression of tumors was associated with some NT5DC family members. However, there are no studies about the comprehensive analysis such as expression, prognosis, and immune properties of NT5DC family in breast cancer. Based on the data from The Cancer Genome Atlas database, we used UALCAN, Tumor Immune Estimation Resource, Breast cancer gene-expression miner (Bc-GenExMiner), Kaplan-Meier Plotter, TISIDB, cBioPortal, GeneMANIA, Search Tool for the Retrieval of Interacting Genes, Metascape, Tumor Immune Single-cell Hub, The Database for Annotation, Visualization and Integrated Discovery, and Gene Set Cancer Analysis databases to explore expression, prognostic and diagnostic value, genetic alterations, biological function, immune value and drug sensitivity of NT5DC family in breast cancer patients. There was a downregulation of NT5C2, NT5DC1, and NT5DC3 in breast cancer compared to normal tissues, and NT5DC2 instead. All NT5DC family members were associated with the clinicopathological parameters of breast cancer patients. Survival and ROC analysis revealed that NT5DC family genes were related to the prognosis and diagnosis of breast cancer. NT5DC family were mainly involved in nucleotide metabolism. Moreover, NT5DC family were significantly associated with tumor immune microenvironment, diverse immune cells, and immune checkpoints in breast cancer. This research showed that NT5DC family might be novel prognostic biomarkers and immunotherapeutic targets of breast cancer.