Clinicopathological features and sites of recurrence according to breast cancer subtype in the National Comprehensive Cancer Network (NCCN)

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 543-543 ◽  
Author(s):  
N. U. Lin ◽  
A. Vanderplas ◽  
M. E. Hughes ◽  
R. L. Theriault ◽  
S. B. Edge ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Breast Cancer Subtype ◽  
Screening Mammography ◽  
Clinicopathological Features ◽  
Stage I ◽  
Her2 Status ◽  
Luminal A ◽  
Chi Square ◽  
Cancer Subtypes

543 Background: Gene expression profiling has defined multiple breast cancer subtypes which can approximated using standard immunohistochemical markers. Methods: We assessed clinicopathological features and sites of recurrence for patients (pts) presenting to NCCN sites with stage I-III breast cancer from Jan 2000 to Dec 2006 where estrogen receptor (ER), progesterone receptor (PR), and HER2 status were known. Tumors were grouped as luminal A (ER+ and/or PR+, and HER2-), HER2+ (any ER or PR, and HER2+), or triple-negative (ER-, PR-, and HER2-). Chi-square compared proportions across tumors; univariate logistic regression estimated risk of first site of recurrence. Results: 12,858 pts met inclusion criteria. Median follow-up from NCCN presentation was 3.2 years. Subtype distribution was: triple-negative (TN) 17%; HER2+ 18%; luminal A 66%. Compared to pts with luminal A and HER2+ tumors, TN were younger (p<0.0001), more likely African-American (p<0.0001) and overweight (p=0.0006). TN and HER2+ tumors were less often detected by screening mammography (TN, 28.9%; HER2+, 33.6%; luminal A, 48.4%) and less likely to present as T1 (TN, 46.5%; HER2+, 50.5%; luminal A, 67.0%) or diagnosed as stage I (TN, 32.6%; HER2+ 33.2%; luminal A, 49.4%) than luminal A (all p<0.0001). Rate of node positivity was lowest in TN (TN, 37.1%; HER2+, 44.9%; luminal A, 38.1%; p<0.0001). 83% of TN tumors were high grade; 93% were invasive ductal histology. Extensive intraductal component and lymphovascular invasion were more often associated with HER2+, compared to TN or luminal A (p<0.0001). Recurrences were recorded for 1,235 pts. Relative to luminal A, TN and HER2+ were more likely to experience lung (TN, odds ratio [OR] 2.27, 95% confidence interval [CI] 1.50, 3.43; p=0.0001; HER2+, OR 1.65, 95% CI 1.05, 2.60; p=0.03) and brain (TN, OR 5.32, 95% CI 2.85, 9.91; p<0.0001; HER2+, OR 5.53, 95% CI 2.93, 10.43; p<0.0001) as first site of recurrence; bone was less likely (TN, OR 0.23, 95% CI 0.16, 0.33; p<0.0001; HER2+, OR 0.38, 95% CI 0.28, 0.53; p<0.0001). Conclusions: Clinicopathological features and patterns of recurrence differed significantly by subtype and may inform the design of future clinical trials. No significant financial relationships to disclose.

Epigenetic aspects of triple-negative in patients with breast cancer.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1041-1041
Author(s):  
Joaquina Martínez-Galan ◽  
Sandra Rios ◽  
Juan Ramon Delgado ◽  
Blanca Torres-Torres ◽  
Jesus Lopez-Peñalver ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Dna Methylation ◽  
Triple Negative ◽  
Breast Cancer Subtype ◽  
Regulation Of Gene Expression ◽  
Breast Cancer Subtypes ◽  
Luminal A ◽  
Cancer Subtypes ◽  
Luminal B

1041 Background: Identification of gene expression-based breast cancer subtypes is considered a critical means of prognostication. Genetic mutations along with epigenetic alterations contribute to gene-expression changes occurring in breast cancer. However, the reproducibility of differential DNA methylation discoveries for cancer and the relationship between DNA methylation and aberrant gene expression have not been systematically analysed. The present study was undertaken to dissect the breast cancer methylome and to deliver specific epigenotypes associated with particular breast cancer subtypes. Methods: By using Real Time QMSPCR SYBR green we analyzed DNA methylation in regulatory regions of 107 pts with breast cancer and analyzed association with prognostics factor in triple negative breast cancer and methylation promoter ESR1, APC, E-Cadherin, Rar B and 14-3-3 sigma. Results: We identified novel subtype-specific epigenotypes that clearly demonstrate the differences in the methylation profiles of basal-like and human epidermal growth factor 2 (HER2)-overexpressing tumors. Of the cases, 37pts (40%) were Luminal A (LA), 32pts (33%) Luminal B (LB), 14pts (15%) Triple-negative (TN), and 9pts (10%) HER2+. DNA hypermethylation was highly inversely correlated with the down-regulation of gene expression. Methylation of this panel of promoter was found more frequently in triple negative and HER2 phenotype. ESR1 was preferably associated with TN(80%) and HER2+(60%) subtype. With a median follow up of 6 years, we found worse overall survival (OS) with more frequent ESR1 methylation gene(p>0.05), Luminal A;ESR1 Methylation OS at 5 years 81% vs 93% when was ESR1 Unmethylation. Luminal B;ESR1 Methylation 86% SG at 5 years vs 92% in Unmethylation ESR1. Triple negative;ESR1 Methylation SG at 5 years 75% vs 80% in unmethylation ESR1. HER2;ESR1 Methylation SG at 5 years was 66.7% vs 75% in unmethylation ESR1. Conclusions: Our results provide evidence that well-defined DNA methylation profiles enable breast cancer subtype prediction and support the utilization of this biomarker for prognostication and therapeutic stratification of patients with breast cancer.

Methylation RE in serum of patients with breast cancer and relation with molecular phenotype and worse prognostic factors.

2011 ◽  
Vol 29 (27_suppl) ◽  
pp. 224-224
Author(s):  
J. Martínez-Galan ◽  
B. Torres-Torres ◽  
R. Del Moral ◽  
M. I. Núñez ◽  
S. Ríos ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Gene Promoter ◽  
Therapy Resistance ◽  
Her2 Status ◽  
Molecular Phenotype ◽  
Luminal A ◽  
Cancer Subtypes ◽  
Luminal B

224 Background: To determine whether Estrogen Receptor (ESR1) (+) and ESR1(-) status relates to epigenetic changes in breast cancer-related genes and to correlate with molecular breast cancer subtypes. Methods: Since January/02 to June/05, we quantified methylation levels ERS1 gene in serum of 92 pts breast cancer. A PCR quantitative technique was used to analyze levels of methylation gene. We also examined and correlationed the expression of ESR1 in tumors by immunohistochemistry with molecular phenotype. Results: Median age was 58 years (32-88); 69% were postmenopausal women. Nodal involvement (N0; 63%, N1; 30%, N2; 7%), tumor size (T1; 58%, T2; 35%, T3; 4%, T4; 4%) and grade (G1; 20%, G2; 37%, G3; 30%). Of the cases, 37 pts (40%) were Luminal A (LA), 32 pts (33%) Luminal B (LB), 14 pts (15%) Triple-negative (TN) and 9pts (10%) HER2+. The methylated ESR1 in serum was significantly associated with ESR1(-) in breast tumors >80% (p=0.0179). Methylation ESR1 was preferably associated with TN (80%) and HER2+ (60%) subtype. Nevertheless unmethylation ESR1 was found more frequently in LA (71%) and LB (59%) phenotype. With a median follow up of 5 years, we found worse overall survival (OS) with more frequent ESR1 methylation gene (p>0.05), Luminal A; ESR1 Methylation OS at 5 years 81% vs 93% when was ESR1 Unmethylation. Luminal B; ESR1 Methylation 86% SG at 5 years vs 92% in Unmethylation ESR1. Triple negative; ESR1 Methylation SG at 5 years 75% vs 80% in unmethylation ESR1. HER2; ESR1 Methylation SG at 5 years was 66.7% vs 75% unmethylation ESR1. Conclusions: Gene promoter region hypermethylation is a significant event in primary breast cancer. However, its impact on tumor progression and potential predictive implications remain relatively unknown. Our study identifies the presence of variations in global levels of methylation promoters ESR1 genes in breast cancer with different phenotype classes and shows that these differences have clinical significance. Although numerous issues remain to be resolved, quantitative measurement of circulating methylated DNA may be of significance in the assessment and search of targeted therapy resistance related to ESR1 and HER2 status by epigenetic or transcriptional cancer therapy.

scholarly journals Response to Radiotherapy After Breast-Conserving Surgery in Different Breast Cancer Subtypes in the Swedish Breast Cancer Group 91 Radiotherapy Randomized Clinical Trial

2017 ◽  
Vol 35 (28) ◽  
pp. 3222-3229 ◽  
Author(s):  
Martin Sjöström ◽  
Dan Lundstedt ◽  
Linda Hartman ◽  
Erik Holmberg ◽  
Fredrika Killander ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Breast Conservation ◽  
Growth Factor Receptor ◽  
Low Risk ◽  
Breast Conservation Surgery ◽  
Luminal A ◽  
Cancer Subtypes ◽  
Cancer Group ◽  
Breast Cancer Group

Purpose To evaluate the effect of adjuvant radiotherapy (RT) after breast conservation surgery in different breast cancer subtypes in a large, randomized clinical trial with long-term follow-up. Patients and Methods Tumor tissue was collected from 1,003 patients with node-negative, stage I and II breast cancer who were randomly assigned in the Swedish Breast Cancer Group 91 Radiotherapy trial between 1991 and 1997 to breast conservation surgery with or without RT. Systemic adjuvant treatment was sparsely used (8%). Subtyping was performed with immunohistochemistry and in situ hybridization on tissue microarrays for 958 tumors. Results RT reduced the cumulative incidence of ipsilateral breast tumor recurrence (IBTR) as a first event within 10 years for luminal A–like tumors (19% v 9%; P = .001), luminal B–like tumors (24% v 8%; P < .001), and triple-negative tumors (21% v 6%; P = .08), but not for human epidermal growth factor receptor 2–positive (luminal and nonluminal) tumors (15% v 19%; P = .6); however, evidence of an overall difference in RT effect between subtypes was weak ( P = .21). RT reduced the rate of death from breast cancer (BCD) for triple-negative tumors (hazard ratio, 0.35; P = .06), but not for other subtypes. Death from any cause was not improved by RT in any subtype. A hypothesized clinical low-risk group did not have a low risk of IBTR without RT, and RT reduced the rate of IBTR as a first event after 10 years (20% v 6%; P = .008), but had no effect on BCD or death from any cause. Conclusion Subtype was not predictive of response to RT, although, in our study, human epidermal growth factor receptor 2–positive tumors seemed to be most radioresistant, whereas triple-negative tumors had the largest effect on BCD. The effect of RT in the presumed low-risk luminal A–like tumors was excellent.

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

2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
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.

Chemosensitivity and endocrine sensitivity prediction by MammaPrint and BluePrint in the Neoadjuvant Breast Registry Symphony Trial (NBRST).

2014 ◽  
Vol 32 (26_suppl) ◽  
pp. 29-29
Author(s):  
Pat W. Whitworth ◽  
Mark Gittleman ◽  
Stephanie Akbari ◽  
Lisette Stork ◽  
Femke De Snoo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Pathologic Complete Response ◽  
Complete Response ◽  
Excision Biopsy ◽  
Luminal A ◽  
Neoadjuvant Endocrine Therapy ◽  
Cancer Subtypes ◽  
Luminal B ◽  
Prior Therapy

29 Background: Classification into molecular subtypes is important for the selection of therapy for patients with breast cancer. Previous analyses demonstrated that breast cancer subtypes have distinct clinical outcome (Gluck, BCRT 2013). The aim of the prospective NBRST study is to measure chemosensitivity as defined by pathologic complete response (pCR), or endocrine sensitivity as defined by partial response (PR) and metastasis-free survival in molecular subgroups. Methods: The study includes women aged 18 to 90 with histologically proven breast cancer, who are scheduled to start neoadjuvant chemotherapy (NCT) or neoadjuvant endocrine therapy (NET), and who provide written informed consent. Additional inclusion criteria include no excision biopsy or axillary dissection, no confirmed distant metastatic disease, and no prior therapy for breast cancer. Treatment is at the discretion of the physician adhering to NCCN approved regimens. Results: Of 336 patients, T1-4 N0-3, had definitive surgery and the overall pCR rate was 24%. 32/167 (19%) IHC/FISH ERPR+/Her2- patients were reclassified by BluePrint (31 Basal). 43/95 (45%) IHC/FISH Her2+ patients were reclassified by BluePrint (25 Luminal and 18 Basal). 3/74 (3%) IHC/FISH triple-negative patients were not Basal by BluePrint. Of 45 (13%) patients classified as Luminal A 32 received NCT; one patient (3%) had a pCR; 13 patients received NET and 9 (70%) had a PR. Of 116 (35%) patients classified as Luminal B, 111 received NCT and seven (6%) had a pCR. The pCR rate (17/149 (11%)) in IHC/FISH ERPR+/HER2- patients was higher. Fifty-five (16%) are BluePrint HER2 and received NCT (51 plus trastuzumab); 27 (49%) had a pCR compared to 35/95 (37%) in IHC/FISH HER2+ patients. One-hundred twenty (36%) are BluePrint Basal and received NCT; 46 (38%) had a pCR, similar to the pCR percentage seen in the 74 patients designated triple-negative by IHC/FISH. Conclusions: Molecular subtyping using MammaPrint and BluePrint leads to a reclassification of 23% (78/336) of tumors. BluePrint reclassification resulted in better grouping of patients into expected response groups compared to local surrogate subtyping with immunostains.

scholarly journals Prediction of clusters of miRNA binding sites in mRNA candidate genes of breast cancer subtypes

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e8049 ◽  
Author(s):  
Dana Aisina ◽  
Raigul Niyazova ◽  
Shara Atambayeva ◽  
Anatoliy Ivashchenko
Keyword(s):  
Breast Cancer ◽  
Candidate Genes ◽  
Binding Sites ◽  
Target Genes ◽  
Breast Cancer Subtype ◽  
Luminal A ◽  
Cancer Subtypes ◽  
Nucleotide Binding Sites ◽  
Cancer Subtype ◽  
Gene Mrna

The development of breast cancer (BC) subtypes is controlled by distinct sets of candidate genes, and the expression of these genes is regulated by the binding of their mRNAs with miRNAs. Predicting miRNA associations and target genes is thus essential when studying breast cancer. The MirTarget program identifies the initiation of miRNA binding to mRNA, the localization of miRNA binding sites in mRNA regions, and the free energy from the binding of all miRNA nucleotides with mRNA. Candidate gene mRNAs have clusters (miRNA binding sites with overlapping nucleotide sequences). mRNAs of EPOR, MAZ and NISCH candidate genes of the HER2 subtype have clusters, and there are four clusters in mRNAs of MAZ, BRCA2 and CDK6 genes. Candidate genes of the triple-negative subtype are targets for multiple miRNAs. There are 11 sites in CBL mRNA, five sites in MMP2 mRNA, and RAB5A mRNA contains two clusters in each of the three sites. In SFN mRNA, there are two clusters in three sites, and one cluster in 21 sites. Candidate genes of luminal A and B subtypes are targets for miRNAs: there are 21 sites in FOXA1 mRNA and 15 sites in HMGA2 mRNA. There are clusters of five sites in mRNAs of ITGB1 and SOX4 genes. Clusters of eight sites and 10 sites are identified in mRNAs of SMAD3 and TGFB1 genes, respectively. Organizing miRNA binding sites into clusters reduces the proportion of nucleotide binding sites in mRNAs. This overlapping of miRNA binding sites creates a competition among miRNAs for a binding site. From 6,272 miRNAs studied, only 29 miRNAs from miRBase and 88 novel miRNAs had binding sites in clusters of target gene mRNA in breast cancer. We propose using associations of miRNAs and their target genes as markers in breast cancer subtype diagnosis.

scholarly journals Evaluation of FGFR targeting in breast cancer through interrogation of patient-derived models

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Nicole J. Chew ◽  
Terry C. C. Lim Kam Sian ◽  
Elizabeth V. Nguyen ◽  
Sung-Young Shin ◽  
Jessica Yang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Therapeutic Target ◽  
Breast Cancer Subtype ◽  
Breast Cancer Subtypes ◽  
Cancer Tissue ◽  
Breast Cancers ◽  
Luminal A ◽  
Tissue Samples ◽  
Cancer Subtypes ◽  
Luminal B

Abstract Background Particular breast cancer subtypes pose a clinical challenge due to limited targeted therapeutic options and/or poor responses to the existing targeted therapies. While cell lines provide useful pre-clinical models, patient-derived xenografts (PDX) and organoids (PDO) provide significant advantages, including maintenance of genetic and phenotypic heterogeneity, 3D architecture and for PDX, tumor–stroma interactions. In this study, we applied an integrated multi-omic approach across panels of breast cancer PDXs and PDOs in order to identify candidate therapeutic targets, with a major focus on specific FGFRs. Methods MS-based phosphoproteomics, RNAseq, WES and Western blotting were used to characterize aberrantly activated protein kinases and effects of specific FGFR inhibitors. PDX and PDO were treated with the selective tyrosine kinase inhibitors AZD4547 (FGFR1-3) and BLU9931 (FGFR4). FGFR4 expression in cancer tissue samples and PDOs was assessed by immunohistochemistry. METABRIC and TCGA datasets were interrogated to identify specific FGFR alterations and their association with breast cancer subtype and patient survival. Results Phosphoproteomic profiling across 18 triple-negative breast cancers (TNBC) and 1 luminal B PDX revealed considerable heterogeneity in kinase activation, but 1/3 of PDX exhibited enhanced phosphorylation of FGFR1, FGFR2 or FGFR4. One TNBC PDX with high FGFR2 activation was exquisitely sensitive to AZD4547. Integrated ‘omic analysis revealed a novel FGFR2-SKI fusion that comprised the majority of FGFR2 joined to the C-terminal region of SKI containing the coiled-coil domains. High FGFR4 phosphorylation characterized a luminal B PDX model and treatment with BLU9931 significantly decreased tumor growth. Phosphoproteomic and transcriptomic analyses confirmed on-target action of the two anti-FGFR drugs and also revealed novel effects on the spliceosome, metabolism and extracellular matrix (AZD4547) and RIG-I-like and NOD-like receptor signaling (BLU9931). Interrogation of public datasets revealed FGFR2 amplification, fusion or mutation in TNBC and other breast cancer subtypes, while FGFR4 overexpression and amplification occurred in all breast cancer subtypes and were associated with poor prognosis. Characterization of a PDO panel identified a luminal A PDO with high FGFR4 expression that was sensitive to BLU9931 treatment, further highlighting FGFR4 as a potential therapeutic target. Conclusions This work highlights how patient-derived models of human breast cancer provide powerful platforms for therapeutic target identification and analysis of drug action, and also the potential of specific FGFRs, including FGFR4, as targets for precision treatment.

scholarly journals Comparison of Clinico-Pathological Presentations of Triple-Negative versus Triple-Positive and HER2 Iraqi Breast Cancer Patients

2019 ◽  
Vol 7 (21) ◽  
pp. 3534-3539
Author(s):  
Nada A. S. Alwan ◽  
Furat N. Tawfeeq
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Molecular Subtype ◽  
Clinical Stage ◽  
Lymph Node Involvement ◽  
Breast Cancer Patients ◽  
Luminal A ◽  
Her2 Positive ◽  
Cancer Subtypes ◽  
Significant Difference

BACKGROUND: Breast cancer remains the most common malignancy among the Iraqi population. Affected patients exhibit different clinical behaviours according to the molecular subtypes of the tumour. AIM: To identify the clinical and pathological presentations of the Iraqi breast cancer subtypes identified by Estrogen receptors (ER), Progesterone receptors (PR) and HER2 expressions. PATIENTS AND METHODS: The present study comprised 486 Iraqi female patients diagnosed with breast cancer. ER, PR and HER2 contents of the primary tumours were assessed through immunohistochemical staining; classifying the patients into five different groups: Triple Negative (ER/PR negative/HER2 negative), Triple Positive (ER/PR positive/HER2 positive), Luminal A (ER/PR positive/HER2 negative), HER2 enriched ((ER/PR negative/HER2 positive) and all other subtypes. RESULTS: The major registered subtype was the Luminal A which was encountered in 230 patients (47.3%), followed by the Triple Negative (14.6%), Triple Positive (13.6%) and HER2 Enriched (11.5%). Patients exhibiting the Triple Negative subtype were significantly younger than the rest of the groups and presented with larger size tumours. A significant difference in the distribution of the breast cancer stages was displayed (p < 0.05); the most advanced were noted among those with HER2 enriched tumours who exhibited the highest frequency of poorly differentiated carcinomas and lymph node involvement. CONCLUSION: The most significant variations in the clinicopathological presentations were observed in the age and clinical stage of the patients at diagnosis. Adoption of breast cancer molecular subtype classification in countries with limited resources could serve as a valuable prognostic marker in the management of aggressive forms of the disease.

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