Economic and technological business methods in the era of innovations

Nowadays, business technologies present equipment and services, which ensure the company’s work. Also, an integral part of the business is communication. The spread of the internet, cloud computing, networks and wireless communication in the 21st century gives more opportunities for advertising and conversations

Identification of novel hereditary cancer genes by whole exome sequencing.

Whole exome sequencing (WES) provides a powerful tool for medical genetic research. Several dozens of WES studies involving patients with hereditary cancer syndromes have already been reported. WES led to breakthrough in understanding of the genetic basis of some exceptionally rare syndromes; for example, identification of germ-line SMARCA4 mutations in patients with hypercalcemic small cell carcinomas indeed explains a noticeable share of familial aggregation of this disease. However, studies on common cancer types turned out to be more difficult. In particular, there is almost a dozen of reports describing WES analysis of breast cancer patients, but none of them yet succeeded to reveal a gene responsible for the significant share of missing heritability. Virtually all components of WES studies require substantial improvement, e.g. technical performance of WES, interpretation of WES results, mode of patient selection, etc. Most of contemporary investigations focus on genes with autosomal dominant mechanism of inheritance; however, recessive and oligogenic models of transmission of cancer susceptibility also need to be considered. It is expected that the list of medically relevant tumor-predisposing genes will be rapidly expanding in the next few years

Non-founder BRCA1 mutations in Russian breast cancer patients

A few founder BRCA1 mutations (5382insC 4154delA 185delAG) account for up to 15% of high-risk (young-onset or familial or bilateral) breast cancer (BC) cases in Russia The impact of non founder BRCA1 mutations in this country is less studied in particular there are no reports analyzing gross rearrangements of this gene in the Russian patient series We selected for the study 95 founder mutation negative high-risk BC cases Combination of high-resolution melting (HRM) and sequencing revealed six presumably BC-associated alleles (2080delA, 4808C > G 5214C > T 5236G > A 5460G > T 5622C > T) and one variant of an unknown significance (4885G > A) The pathogenic role of the 5236G > A mutation leading to G1 706E substitution was further confirmed by the loss of heterozygosity analysis of the corresponding tumor tissue Multiplex ligation-dependent probe amplification (MLPA) revealed two additional BRCA1 heterozygotes which carried BRCA1 deletions involving exons 1-2 and 3-7 respectively Based on the results of this investigation and the review of prior Russian studies three BRCA1 mutations (2080delA 3819de15 3875del4) were considered with respect to their possible founder effect and tested in the additional series of 210 high-risk BC patients two BACA heterozygotes (2080delA and 3819de15) were revealed We conclude that the non-founder mutations constitute the minority of BRCA1 defects in Russia (C) 2010 Elsevier Ireland Ltd All rights reserve

High prevalence and breast cancer predisposing role of the BLMc.1642 C>T (Q548X) mutation in Russia

The BLM gene belongs to the RecQ helicase family and has been implicated in the maintenance of genomic stability. Its homozygous germline inactivation causes Bloom syndrome, a severe genetic disorder characterized by growth retardation, impaired fertility and highly elevated cancer risk. We hypothesized that BLM is a candidate gene for breast cancer (BC) predisposition. Sequencing of its entire coding region in 95 genetically enriched Russian BC patients identified 2 heterozygous carriers of the c.1642 C>T (Q548X) mutation. The extended study revealed this allele in 17/1498 (1.1%) breast cancer (BC) cases vs. 2/1093 (0.2%) healthy women (p = 0.004). There was a suggestion that BLM mutations were more common in patients reporting first-degree family history of BC (6/251 (2.4%) vs. 11/1247 (0.9%), p = 0.05), early-onset cases (12/762 (1.6%) vs. 5/736 (0.7%), p = 0.14), and women with bilateral appearance of the disease (2/122 (1.6%) vs. 15/1376 (1.1%), p = 0.64). None of the BLM-associated BC exhibited somatic loss of heterozygosity at the BLM gene locus. This study demonstrates that BLM Q548X allele is recurrent in Slavic subjects and may be associated with breast cancer risk

Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, "select and shrink for summary statistics" (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28-1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08-1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21-1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29-1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35-1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.Genome Instability and Cance