Molecular and clinicopathological markers of prognosis in breast cancer

Patient-derived scaffolds as a drug-testing platform for endocrine therapies in breast cancer

Three-dimensional cell culture platforms based on decellularised patient-based microenvironments provide in vivo-like growth conditions allowing cancer cells to interact with intact structures and components of the surrounding tissue. A patient-derived scaffold (PDS) model was therefore evaluated as a testing platform for the endocrine therapies (Z)-4-Hydroxytamoxifen (4OHT) and fulvestrant as well as the CDK4/6-inhibitor palbociclib, monitoring the treatment responses in breast cancer cell lines MCF7 and T47D adapted to the patient-based microenvironments. MCF7 cells growing in PDSs showed increased resistance to 4OHT and fulvestrant treatment (100- and 20-fold) compared to 2D cultures. Quantitative PCR analyses of endocrine treated cancer cells in PDSs revealed upregulation of pluripotency markers further supported by increased self-renewal capacity in sphere formation assays. When comparing different 3D growth platforms including PDS, matrigel, gelatin sponges and 3D-printed hydrogels, 3D based cultures showed slightly varying responses to fulvestrant and palbociclib whereas PDS and matrigel cultures showed more similar gene expression profiles for 4OHT treatment compared to the other platforms. The results support that the PDS technique maximized to provide a multitude of smaller functional PDS replicates from each primary breast cancer, is an up-scalable patient-derived drug-testing platform available for gene expression profiling and downstream functional assays.

Screening of the prognostic targets for breast cancer based co-expression modules analysis

The purpose of the present study was to screen the prognostic targets for breast cancer based on a co-expression modules analysis. The microarray dataset GSE73383 was downloaded from the Gene Expression Omnibus (GEO) database, including 15 breast cancer samples with good prognosis and 9 breast cancer samples with poor prognosis. The differentially expressed genes (DEGs) were identified with the limma package. The Database for Annotation, Visualization and Integrated Discovery was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Furthermore, the co-expression analysis of DEGs was conducted with weighted correlation analysis. The interaction associations were analyzed with the Human Protein Reference Database and BioGRID. The protein-protein interactions (PPI) network was constructed and visualized by Cytoscape software. A total of 491 DEGs were identified in breast cancer samples with poor prognosis compared with those with good prognosis, and they were enriched in 85 GO terms and 4 KEGG pathways. 368 DEGs were co-expressed with others, and they were clustered into 10 modules. Module 6 was the most relevant to the clinical features, and 21 genes and 273 interaction pairs were selected out. Abnormal expression levels of required for meiotic nuclear division 5 homolog A (RMND5A) and angiopoietin-like protein 1 (ANGPTL1) were associated with a poor prognosis. It was indicated that SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily D, member 1, SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily D, member 1, dihydropyrimidinase-like 2, RMND5A and ANGPTL1 were potential prognostic markers in breast cancer, and the cell cycle may be involved in the regulation of breast cancer.

ADRA2A Germline Gene Polymorphism is Associated to the Severity, but not to the Risk, of Breast Cancer

Breast cancer (BC) prognosis and risk were associated to obesity, metabolic syndrome and type 2 diabetes mellitus. Two Single Nucleotide Polymorphisms (SNPs) of the adrenergic receptor-2a gene (ADRA2A): rs1800544 and rs553668, have been associated to these metabolic disorders. We investigated these SNPs in BC risk and prognosis. A total of 102 BC patients and 102 healthy controls were included. The rs1800544 and rs553668 were determined by real-time PCR. Genotypes and haplotypes frequencies between patients and controls, and for different clinico-pathologic parameters were compared. We found a significant association of rs1800544 GG genotype with young age at diagnosis, premenopausal status, higher tumor size, metastasis in lymph nodes, advanced TNM stages and higher Nottingham Prognosis Indicator (NPI) (p < 0.05). There was no association between rs1800544 and SBR stages, Her2, ER and PR statuses and the molecular classification. The rs553668 AA genotype was associated to young age at diagnosis and premenopausal status (p < 0.05). The haplotype GA was associated to the early age of diagnosis (p = 0.03), and the haplotype GG to higher tumor size, lymph node involvement, advanced TNM stages and Her2 positive status (p < 0.05). There was no polymorphism or haplotype association with BC risk (p > 0.05). ADRA2A polymorphism is associated with indicators BC poor prognosis but not with BC susceptibility. This is the first report suggesting that ADRA2A germline gene polymorphism could represent a predictor factor for BC outcome. Further investigation of other ADRA2A polymorphisms in BC risk or prognosis are needed and may lead to a genotype-based therapy.

The role of CD44+/CD24-/low biomarker for screening, diagnosis and monitoring of breast cancer

Cancer stem cells (CSCs) have been defined as 'a cell within a tumor that possesses the capacity to self-renew and to cause the heterogeneous lineages of cancer cells that comprise the tumor'. The CSC hypothesis postulates that a small subpopulation of cancer cells drives tumor initiation, growth and metastasis. CSCs have been isolated from breast cancer using CD44+/CD24-/low phenotype. The purpose of the present study was to evaluate the expression of CD44+/CD24-/low in two diverse breast carcinomas (ductal and lobular), and to determine the correlation between expression of CD44+/CD24-/low, and clinicopathological characteristics starting from human fresh breast cancer specimens. We analyzed specimens from 57 patients using CD44 and CD24 markers by flow cytometry and immunohistochemistry and correlated the CD44+/CD24-/low phenotype with clinicopathological characteristics. Moreover, mammosphere formation was tested. In all specimens tested, CD44+/CD24-/low phenotype was detectable with mean percentage of 4.73% as confirmed also by immunohistochemical analyses. A significant statistical association was found among these phenotypic groups and age, grade G3, estrogen and progesterone receptor, Ki-67 as well as lymph node metastasis. No correlation was found for histological type. In conclusion, our data showed that CD44+/CD24-/low phenotype was found at a high frequency in tumors pT2, G3, pN3, positive for Ki-67, and negative for estrogen and progesterone receptors highlighting the hypothesis that CD44+/CD24-/low profile correlates with the more aggressive clinical-pathological features of the disease.