Identification of Hub Genes to Regulate Breast Cancer Spinal Metastases by Bioinformatics Analyses

Breast cancer (BC) had been one of the deadliest types of cancers in women worldwide. More than 65% of advanced-stage BC patients were identified to have bone metastasis. However, the molecular mechanisms involved in the BC spinal metastases remained largely unclear. This study screened dysregulated genes in the progression of BC spinal metastases by analyzing GSE22358. Moreover, we constructed PPI networks to identify key regulators in this progression. Bioinformatics analysis showed that these key regulators were involved in regulating the metabolic process, cell proliferation, Toll-like receptor and RIG-I-like receptor signaling, and mRNA surveillance. Furthermore, our analysis revealed that key regulators, including C1QB, CEP55, HIST1H2BO, IFI6, KIAA0101, PBK, SPAG5, SPP1, DCN, FZD7, KRT5, and TGFBR3, were correlated to the OS time in BC patients. In addition, we analyzed TCGA database to further confirm the expression levels of these hub genes in breast cancer. Our results showed that these regulators were significantly differentially expressed in breast cancer, which were consistent with GSE22358 dataset analysis. Furthermore, our analysis demonstrated that CEP55 was remarkably upregulated in the advanced stage of breast cancer compared to the stage I breast cancer sample and was significantly upregulated in triple-negative breast cancers (TNBC) compared to other types of breast cancers, including luminal and HER2-positive cancers, demonstrating CEP55 may have a regulatory role in TNBC. Finally, our results showed that CEP55 was the most highly expressed in Basal-like 1 TNBC and Basal-like 2 TNBC samples but the most lowly expressed in mesenchymal stem-like TNBC samples. Although more studies are still needed to understand the functions of key regulators in BC, this study provides useful information to understand the mechanisms underlying BC spinal metastases.

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Current Approaches and Emerging Directions in HER2-resistant Breast Cancer

Breast Cancer Basic and Clinical Research ◽

10.4137/bcbcr.s9453 ◽

2014 ◽

Vol 8 ◽

pp. BCBCR.S9453 ◽

Cited By ~ 6

Author(s):

Adam M. Brufsky

Keyword(s):

Breast Cancer ◽

Growth Factor ◽

Molecular Mechanisms ◽

Mammalian Target Of Rapamycin ◽

Growth Factor Receptor ◽

Initial Response ◽

Her2 Overexpression ◽

Breast Cancers ◽

Intrinsic Resistance ◽

Her2 Positive

Human epidermal growth factor receptor-2 (HER2) is overexpressed in up to 30% of breast cancers; HER2 overexpression is indicative of poor prognosis. Trastuzumab, an anti-HER2 monoclonal antibody, has led to improved outcomes in patients with HER2-positive breast cancer, including improved overall survival in adjuvant and first-line settings. However, a large proportion of patients with breast cancer have intrinsic resistance to HER2-targeted therapies, and nearly all become resistant to therapy after initial response. Elucidation of underlying mechanisms contributing to HER2 resistance has led to development of novel therapeutic strategies, including those targeting HER2 and downstream pathways, heat shock protein 90, telomerase, and vascular endothelial growth factor inhibitors. Numerous clinical trials are ongoing or completed, including phase 3 data for the mammalian target of rapamycin inhibitor everolimus in patients with HER2-resistant breast cancer. This review considers the molecular mechanisms associated with HER2 resistance and evaluates the evidence for use of evolving strategies in patients with HER2-resistant breast cancer.

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Identification of Long Noncoding RNAs as Predictors of Survival in Triple-Negative Breast Cancer Based on Network Analysis

BioMed Research International ◽

10.1155/2020/8970340 ◽

2020 ◽

Vol 2020 ◽

pp. 1-15 ◽

Cited By ~ 3

Author(s):

Xiao-Xiao Li ◽

Li-Juan Wang ◽

Jie Hou ◽

Hong-Yang Liu ◽

Rui Wang ◽

...

Keyword(s):

Breast Cancer ◽

Network Analysis ◽

Molecular Mechanisms ◽

Triple Negative ◽

Noncoding Rnas ◽

Long Noncoding Rnas ◽

Breast Cancers ◽

Luminal A ◽

Her2 Positive ◽

Cancer Subtypes

Breast cancer is the most common cancer observed in adult females, worldwide. Due to the heterogeneity and varied molecular subtypes of breast cancer, the molecular mechanisms underlying carcinogenesis in different subtypes of breast cancer are distinct. Recently, long noncoding RNAs (lncRNAs) have been shown to be oncogenic or play important roles in cancer suppression and are used as biomarkers for diagnosis and therapy. In this study, we identified 134 lncRNAs and 6,414 coding genes were differentially expressed in triple-negative (TN), human epidermal growth factor receptor 2- (HER2-) positive, luminal A-positive, and luminal B-positive breast cancer. Of these, 37 lncRNAs were found to be dysregulated in all four subtypes of breast cancers. Subtypes of breast cancer special modules and lncRNA-mRNA interaction networks were constructed through weighted gene coexpression network analysis (WGCNA). Survival analysis of another public datasets was used to verify the identified lncRNAs exhibiting potential indicative roles in TN prognosis. Results from heat map analysis of the identified lncRNAs revealed that five blocks were significantly displayed. High expressions of lncRNAs, including LINC00911, CSMD2-AS1, LINC01192, SNHG19, DSCAM-AS1, PCAT4, ACVR28-AS1, and CNTFR-AS1, and low expressions of THAP9-AS1, MALAT1, TUG1, CAHM, FAM2011, NNT-AS1, COX10-AS1, and RPARP-AS1 were associated with low survival possibility in TN breast cancers. This study provides novel lncRNAs as potential biomarkers for the therapeutic and prognostic classification of different breast cancer subtypes.

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CENPL, ISG20L2, LSM4 and MRPL3 Are Four Novel Hub Genes Involved in Breast Cancer Development and Progression

10.21203/rs.3.rs-96226/v1 ◽

2020 ◽

Author(s):

Jinbao Yin ◽

Chen Lin ◽

Meng jiang ◽

Xinbing Tang ◽

Danlin Xie ◽

...

Keyword(s):

Breast Cancer ◽

Network Analysis ◽

Candidate Genes ◽

Molecular Mechanism ◽

Molecular Mechanisms ◽

Rank Aggregation ◽

Functional Enrichment ◽

Hub Genes ◽

Ppi Networks ◽

Kaplan Meier

Abstract BackgroundAs a highly prevalent tumor disease worldwide, Further elucidation of the molecular mechanisms of the occurrence, development and prognosis of breast cancer remain an urgent need. Identifying hub genes involved in these pathogenesis and progression can potentially help to unveil its mechanism and provide novel diagnostic and prognostic markers for breast cancer.MethodsIn this study, we systematically integrated multiple bioinformatic methods, including robust rank aggregation (RRA), functional enrichment analysis, protein-protein interaction (PPI) networks construction and analysis, weighted gene co-expression network analysis (WGCNA), ROC and Kaplan-Meier analyses, DNA methylation analyses and genomic mutation analyses, GSEA and GSVA, based on ten mRNA datasets to identify and investigate novel hub genes involved in breast cancer. In parallel, RNA in situ detection technology was applied to validate those novel hub gene.ResultsEZH2 was recognized as a key gene by PPI network analysis. CENPL, ISG20L2, LSM4 and MRPL3 were identified as four novel hub genes through the WGCNA analysis and literate search. Among those five hub genes, many studies on EZH2 gene in breast cancer have been reported, but no studies are related to the roles of CENPL, ISG20L2, MRPL3 and LSM4 in breast cancer. These novel four hub genes were up-regulated in breast cancer tissues and associated with tumor progression. ROC and Kaplan-Meier indicated these four hub genes all showed good diagnostic performance and prognostic values for breast cancer. The preliminary analysis revealed those novel hub genes are four potentially candidate genes for further exploring the molecular mechanism of breast cancer.ConclusionWe identify four novel hub genes (CENPL, ISG20L2, MRPL3, and LSM4) that are likely playing key roles in the molecular mechanism of occurrence and development of breast cancer. Those hub genes are four potentially candidate genes served as promising candidate diagnostic biomarkers and prognosis predictors for breast cancer, and their exact functional mechanisms in breast cancer deserve further in-depth study.

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Molecular Mechanisms Associated with Brain Metastases in HER2-Positive and Triple Negative Breast Cancers

Cancers ◽

10.3390/cancers13164137 ◽

2021 ◽

Vol 13 (16) ◽

pp. 4137

Author(s):

Sarah Bryan ◽

Isabell Witzel ◽

Kerstin Borgmann ◽

Leticia Oliveira-Ferrer

Keyword(s):

Breast Cancer ◽

Brain Metastases ◽

Molecular Mechanisms ◽

Triple Negative ◽

Future Research ◽

Breast Cancers ◽

Her2 Positive ◽

Mesenchymal Transition ◽

Increased Risk ◽

Breast Cancer Brain Metastasis

Breast cancer (BC) is the most frequent cause of cancer-associated death for women worldwide, with deaths commonly resulting from metastatic spread to distant organs. Approximately 30% of metastatic BC patients develop brain metastases (BM), a currently incurable diagnosis. The influence of BC molecular subtype and gene expression on breast cancer brain metastasis (BCBM) development and patient prognosis is undeniable and is, therefore, an important focus point in the attempt to combat the disease. The HER2-positive and triple-negative molecular subtypes are associated with an increased risk of developing BCBM. Several genetic and molecular mechanisms linked to HER2-positive and triple-negative BC breast cancers appear to influence BCBM formation on several levels, including increased development of circulating tumor cells (CTCs), enhanced epithelial-mesenchymal transition (EMT), and migration of primary BC cells to the brain and/or through superior local invasiveness aided by cancer stem-like cells (CSCs). These specific BC characteristics, together with the ensuing developments at a clinical level, are presented in this review article, drawing a connection between research findings and related therapeutic strategies aimed at preventing BCBM formation and/or progression. Furthermore, we briefly address the critical limitations in our current understanding of this complex topic, highlighting potential focal points for future research.

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Mechanisms Underlying the Action and Synergism of Trastuzumab and Pertuzumab in Targeting HER2-Positive Breast Cancer

Cancers ◽

10.3390/cancers10100342 ◽

2018 ◽

Vol 10 (10) ◽

pp. 342 ◽

Cited By ~ 26

Author(s):

Babak Nami ◽

Hamid Maadi ◽

Zhixiang Wang

Keyword(s):

Breast Cancer ◽

Monoclonal Antibodies ◽

Molecular Mechanisms ◽

Growth Factor Receptor ◽

Breast Cancers ◽

Her2 Positive ◽

Her2 Positive Breast Cancer ◽

Her 2 ◽

Available Information ◽

Positive Breast Cancer

Human epidermal growth factor receptor (HER) 2 (HER2) is overexpressed in 20–30% of breast cancers. HER2 is a preferred target for treating HER2-positive breast cancer. Trastuzumab and pertuzumab are two HER2-targeted monoclonal antibodies approved by the Food and Drug Administration (FDA) to use as adjuvant therapy in combination with docetaxel to treat metastatic HER2-positive breast cancer. Adding the monoclonal antibodies to treatment regimen has changed the paradigm for treatment of HER2-positive breast cancer. Despite improving outcomes, the percentage of the patients who benefit from the treatment is still low. Continued research and development of novel agents and strategies of drug combinations is needed. A thorough understanding of the molecular mechanisms underlying the action and synergism of trastuzumab and pertuzumab is essential for moving forward to achieve high efficacy in treating HER2-positive breast cancer. This review examined and analyzed findings and hypotheses regarding the action and synergism of trastuzumab and pertuzumab and proposed a model of synergism based on available information.

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O80: GREMLIN-1 PROMOTES TUMOURIGENESIS AND METASTASIS IN HER2 POSITIVE BREAST CANCER

British Journal of Surgery ◽

10.1093/bjs/znab117.080 ◽

2021 ◽

Vol 108 (Supplement_1) ◽

Author(s):

C Zabkiewicz ◽

L Ye ◽

R Hargest

Keyword(s):

Breast Cancer ◽

Cellular Growth ◽

Breast Cancers ◽

Her2 Positive ◽

Mesenchymal Transition ◽

Her2 Breast Cancer ◽

Bmp Signalling ◽

Gremlin 1

Abstract Introduction HER2 over-expression denotes poor prognosis in breast cancers.Bone morphogenetic protein(BMP) signalling is known to interact with EGF signalling, co-regulating breast cancer progression.BMP antagonist Gremlin-1 may influence breast cancer disease progression, but this remains unexplored in HER2 positive breast cancers. Method GREM1 and HER2 expression, and clinical outcomes were examined in clinical cohorts.GREM1 overexpression or pEF control plasmid were transduced into BT474 HER2+breast cancer cells. In vitro function tests using BT474 pEF and BT474GREM1cells include 2D/3D growth, migration, and expression of epithelial to mesenchymal transition(EMT)markers. Signalling cascades were examined in BT474 treated with RhGremlin-1. In vivo, BALB/c nude mice underwent either mammary injection or intra-cardiac injection of BT474pEF or BT474GREM1 cells and disease burden assessed. Result GREM1 expression correlates with HER2 in breast tumours(p=0.03) and is higher in metastatic HER2 positive cancers (p = 0.04). HER2 positive patients with high GREM1 have poor survival(p = 0.0002). BT474GREM1cells have up-regulated markers of EMT compared to control. BT474 RhGremlin-1 treated cells have active AKT pathway signalling, independent of BMP signalling. In vitro, BT474GREM1cells significantly proliferate and migrate compared to control(p<0.05 and p < 0.001).This is confirmed in vivo, BT474GREM1 mice grew significantly larger mammary tumours(p<0.05) and had more PETCT metastatic hotspots. Conclusion Gremlin-1 is correlated with poor outcomes in HER2 patients and promotes breast cancer cellular growth, migration and metastasis.Gremlin-1 is a novel area of research with potential as a prognostic biomarker and therapeutic target for personalised, effective, breast cancer outcomes. Take-home message BMP antagonists are gaining interest for their potential in breast cancer prognosis and therapeutics.This novel area of research shows BMP antagonist Gremlin-1 is of importance in HER2 positive breast cancers. DRAGONS DEN

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Fat Composition Measured by Proton Spectroscopy: A Breast Cancer Tumor Marker?

Diagnostics ◽

10.3390/diagnostics11030564 ◽

2021 ◽

Vol 11 (3) ◽

pp. 564

Author(s):

Almir Bitencourt ◽

Varadan Sevilimedu ◽

Elizabeth A. Morris ◽

Katja Pinker ◽

Sunitha B. Thakur

Keyword(s):

Breast Cancer ◽

Saturation Index ◽

Multivariable Analysis ◽

Area Under The Curve ◽

Resonance Spectroscopy ◽

Breast Cancers ◽

Her2 Positive ◽

Tumor Tissues ◽

Cancer Tumor ◽

Fat Composition

Altered metabolism including lipids is an emerging hallmark of breast cancer. The purpose of this study was to investigate if breast cancers exhibit different magnetic resonance spectroscopy (MRS)-based lipid composition than normal fibroglandular tissue (FGT). MRS spectra, using the stimulated echo acquisition mode sequence, were collected with a 3T scanner from patients with suspicious lesions and contralateral normal tissue. Fat peaks at 1.3 + 1.6 ppm (L13 + L16), 2.1 + 2.3 ppm (L21 + L23), 2.8 ppm (L28), 4.1 + 4.3 ppm (L41 + L43), and 5.2 + 5.3 ppm (L52 + L53) were quantified using LCModel software. The saturation index (SI), number of double bods (NBD), mono and polyunsaturated fatty acids (MUFA and PUFA), and mean chain length (MCL) were also computed. Results showed that mean concentrations of all lipid metabolites and PUFA were significantly lower in tumors compared with that of normal FGT (p ≤ 0.002 and 0.04, respectively). The measure best separating normal and tumor tissues after adjusting with multivariable analysis was L21 + L23, which yielded an area under the curve of 0.87 (95% CI: 0.75–0.98). Similar results were obtained between HER2 positive versus HER2 negative tumors. Hence, MRS-based lipid measurements may serve as independent variables in a multivariate approach to increase the specificity of breast cancer characterization.

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Classical Cyclophosphamide, Methotrexate, and Fluorouracil Chemotherapy Is More Effective in Triple-Negative, Node-Negative Breast Cancer: Results From Two Randomized Trials of Adjuvant Chemoendocrine Therapy for Node-Negative Breast Cancer

Journal of Clinical Oncology ◽

10.1200/jco.2009.25.9549 ◽

2010 ◽

Vol 28 (18) ◽

pp. 2966-2973 ◽

Cited By ~ 102

Author(s):

Marco Colleoni ◽

Bernard F. Cole ◽

Giuseppe Viale ◽

Meredith M. Regan ◽

Karen N. Price ◽

...

Keyword(s):

Breast Cancer ◽

Endocrine Therapy ◽

Triple Negative ◽

Alkylating Agents ◽

Growth Factor Receptor ◽

Breast Cancers ◽

Her2 Positive ◽

Node Negative ◽

Tumor Subtypes ◽

Node Negative Breast Cancer

Purpose Retrospective studies suggest that primary breast cancers lacking estrogen receptor (ER) and progesterone receptor (PR) and not overexpressing human epidermal growth factor receptor 2 (HER2; triple-negative tumors) are particularly sensitive to DNA-damaging chemotherapy with alkylating agents. Patients and Methods Patients enrolled in International Breast Cancer Study Group Trials VIII and IX with node-negative, operable breast cancer and centrally assessed ER, PR, and HER2 were included (n = 2,257). The trials compared three or six courses of adjuvant classical cyclophosphamide, methotrexate, and fluorouracil (CMF) with or without endocrine therapy versus endocrine therapy alone. We explored patterns of recurrence by treatment according to three immunohistochemically defined tumor subtypes: triple negative, HER2 positive and endocrine receptor absent, and endocrine receptor present. Results Patients with triple-negative tumors (303 patients; 13%) were significantly more likely to have tumors > 2 cm and grade 3 compared with those in the HER2-positive, endocrine receptor–absent, and endocrine receptor–present subtypes. No clear chemotherapy benefit was observed in endocrine receptor–present disease (hazard ratio [HR], 0.90; 95% CI, 0.74 to 1.11). A statistically significantly greater benefit for chemotherapy versus no chemotherapy was observed in triple-negative breast cancer (HR, 0.46; 95% CI, 0.29 to 0.73; interaction P = .009 v endocrine receptor–present disease). The magnitude of the chemotherapy effect was lower in HER2-positive endocrine receptor–absent disease (HR, 0.58; 95% CI, 0.29 to 1.17; interaction P = .24 v endocrine receptor–present disease). Conclusion The magnitude of benefit of CMF chemotherapy is largest in patients with triple-negative, node-negative breast cancer.

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CDK4/6 inhibitors in breast cancer: beyond hormone receptor-positive HER2-negative disease

Therapeutic Advances in Medical Oncology ◽

10.1177/1758835918818346 ◽

2018 ◽

Vol 10 ◽

pp. 175883591881834 ◽

Cited By ~ 11

Author(s):

Adriana Matutino ◽

Carla Amaro ◽

Sunil Verma

Keyword(s):

Breast Cancer ◽

Hormone Receptor ◽

Growth Factor Receptor ◽

Metastatic Breast ◽

Progression Free Survival ◽

Breast Cancers ◽

Cyclin Dependent Kinase ◽

Her2 Positive ◽

Hormone Receptor Positive ◽

Epidermal Growth

The development of cyclin-dependent kinase (CDK) 4/6 inhibitors has been more prominent in hormone receptor (HR)-positive human epidermal growth factor receptor 2 (HER2)-negative breast cancers, with a significant improvement in progression-free survival (PFS) in first and later lines of metastatic breast cancer (MBC) therapy. Preclinical evidence suggests that there is activity of CDK4/6 inhibitors in nonluminal cell lines. Here, we present a review of the current preclinical and clinical data on the use of CDK inhibitors in HER2-positive and triple-negative breast cancer (TNBC).

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Influence of Anthropometric Characteristics in Patients With Her2-Positive Breast Cancer on Initial Plasma Concentrations of Trastuzumab

Annals of Pharmacotherapy ◽

10.1177/1060028017715727 ◽

2017 ◽

Vol 51 (11) ◽

pp. 976-980 ◽

Cited By ~ 4

Author(s):

Jonathan González García ◽

Fernando Gutiérrez Nicolás ◽

Gloria Julia Nazco Casariego ◽

José Norberto Batista López ◽

Isaac Ceballos Lenza ◽

...

Keyword(s):

Breast Cancer ◽

Standard Dose ◽

Plasma Concentrations ◽

Breast Cancers ◽

Her2 Positive ◽

Her2 Positive Breast Cancer ◽

Initial Plasma ◽

Anthropometric Characteristics ◽

Secondary Objective ◽

Positive Breast Cancer

Background: Plasma concentrations of trastuzumab <20 µg/mL in patients with gastric cancer are associated with reduced progression-free and overall survival. In breast cancer treatment, this relationship has not yet been studied, but a suboptimal pharmacodynamic exposure to trastuzumab could be a reason for therapeutic failure of treatment of HER2-positive breast cancer. Objective: The objective of the present study was to determine the proportion of nonmetastatic HER2-positive breast cancers that do not reach a minimum plasma concentration ( Cmin) of 20 µg/mL after first drug administration, established as therapeutically effective in clinical trials. The secondary objective was to identify the physiological and anthropometric characteristics that determine interindividual pharmacokinetic variability. Methods: Serum concentrations of trastuzumab were assessed by ELISA on day 1 of the second cycle before administration of the second dose ( Cmin). Results: Of 19 patients included, 9 (47.4%) had a mean Cmin of 19.0 µg/mL (±12.1) after the first administration. Body mass index (BMI) and weight was the main variable that determined the achievement of therapeutic levels after the first administration. Thus, the proportion of patients reaching the target concentration was 89% when BMI was ≤30 kg/m2 but only 11% when BMI was >30 kg/m2 ( P < 0.01). Conclusions: The standard dose of 600 mg subcutaneous trastuzumab did not ensure adequate pharmacodynamic exposure from the first administration in 52% of patients, with weight and BMI being related to the plasma levels obtained.

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