Downregulated expression of Cdc25A gene in MCF-7 breast cancer cell

The Genetics of Breast Cancer

Breast cancer (BC) is a complex and heterogeneous disease caused by interaction of both genetic and nongenetic risk factors. The biological diversity of sporadic BCs consists in the development of several BC subtypes, which are systematically different from one another and which present specific genetic and phenotypic features. Recently, with the advent of cDNA microarrays it has been possible to associate a distinctive “molecular portrait” to a single BC subtype and, consequently, improve BC taxonomy. From a clinical point of view, the gene expression profiles could supply the classic pathological experiment with the aim to select patients with a better prognosis and that could have a bene…

BRCA1 and BRCA2 variants of uncertain clinical significance and their implications for genetic counseling

BRCA1 and BRCA2 germline mutations in sicilian breast and/or ovarian cancer families and their association with familial profiles

EGF Induces STAT3-Dependent VEGF Expression in HT-29 colon cancer cells

79 VUS VARIANTS IN BRCA GENES OF HEREDITARY BREAST/OVARIAN CANCER

Identification of Key miRNAs in Regulation of PPI Networks

In this paper, we explore the interaction between miRNA and deregulated proteins in some pathologies. Assuming that miRNA can influence mRNA and consequently the proteins regulation, we explore this connection by using an interaction matrix derived from miRNA-target data and PPI network interactions. From this interaction matrix and the set of deregulated proteins, we search for the miRNA subset that influences the deregulated proteins with a minimum impact on the not deregulated ones. This regulation problem can be formulated as a complex optimization problem. In this paper, we have tried to solve it by using the Genetic Algorithm Heuristic. As the main result, we have found a set of miRNA…

germline mutations in women with familial breast cancer and a relative with haematological malignancy

Biallelic inactivation of the ATM gene causes ataxia-telangiectasia (A-T), a complex neurological disease associated with a high risk of leukaemias and lymphomas. Mothers of A-T children, obligate ATM heterozygote mutation carriers, have a breast cancer (BC) relative risk of about 3. The frequency of ATM carriers in BC women with a BC family history has been estimated to be 2.70%. To further our clinical understanding of familial BC and examine whether haematological malignancies are predictive of ATM germline mutation, we estimated the frequency of heterozygote mutation carriers in a series of 122 BC women with a family history of both BC and haematological malignancy and without BRCA1/2 m…

Classification of Sequences with Deep Artificial Neural Networks: Representation and Architectural Issues

DNA sequences are the basic data type that is processed to perform a generic study of biological data analysis. One key component of the biological analysis is represented by sequence classification, a methodology that is widely used to analyze sequential data of different nature. However, its application to DNA sequences requires a proper representation of such sequences, which is still an open research problem. Machine Learning (ML) methodologies have given a fundamental contribution to the solution of the problem. Among them, recently, also Deep Neural Network (DNN) models have shown strongly encouraging results. In this chapter, we deal with specific classification problems related to t…

The Clinical Significance of Unknown Sequence Variants in BRCA Genes.

Abstract: Germline mutations in BRCA1/2 genes are responsible for a large proportion of hereditary breast and/or ovarian cancers. Many highly penetrant predisposition alleles have been identified and include frameshift or nonsense mutations that lead to the translation of a truncated protein. Other alleles contain missense mutations, which result in amino acid substitution and intronic variants with splicing effect. The discovery of variants of uncertain/unclassified significance (VUS) is a result that can complicate rather than improve the risk assessment process. VUSs are mainly missense mutations, but also include a number of intronic variants and in-frame deletions and insertions. Over …

Analysis of Germline Gene Copy Number Variants of Patients with Sporadic Pancreatic Adenocarcinoma Reveals Specific Variations

<b><i>Objectives:</i></b> The rapid fatality of pancreatic cancer is, in large part, the result of diagnosis at an advanced stage in the majority of patients. Identification of individuals at risk of developing pancreatic adenocarcinoma would be useful to improve the prognosis of this disease. There is presently no biological or genetic indicator allowing the detection of patients at risk. Our main goal was to identify copy number variants (CNVs) common to all patients with sporadic pancreatic cancer. <b><i>Methods:</i></b> We analyzed gene CNVs in leukocyte DNA from 31 patients with sporadic pancreatic adenocarcinoma and from 93 matched contr…

BITS2019: the sixteenth annual meeting of the Italian society of bioinformatics.

AbstractThe 16th Annual Meeting of the Bioinformatics Italian Society was held in Palermo, Italy, on June 26-28, 2019. More than 80 scientific contributions were presented, including 4 keynote lectures, 31 oral communications and 49 posters. Also, three workshops were organised before and during the meeting. Full papers from some of the works presented in Palermo were submitted for this Supplement of BMC Bioinformatics. Here, we provide an overview of meeting aims and scope. We also shortly introduce selected papers that have been accepted for publication in this Supplement, for a complete presentation of the outcomes of the meeting.

Gene Signatures in Gastrointestinal Stromal Tumors

Gastrointestinal stromal tumors (GISTs) constitute a rare heterogeneous group of the most common mesenchymal neoplasm of gastrointestinal tract (GI). GISTs have emerged during the recent years as a distinct sarcoma entity due to advances in the understanding of molecular mechanism of their pathogenesis. They are believed to originate from precursors shared with interstitial cells of Cajal (ICC) – the pacemaker cells of the gut (for which CD117 antigen is the immunohistochemical marker), and they may arise along all GI (most commonly in the stomach or the small bowel) or rarely elsewhere. Their biological behavior is difficult to predict, ranging from clinically benign to malignant. The trea…

Mapping Retrotransposon LINE-1 Sequences into Two Cebidae Species and Homo sapiens Genomes and a Short Review on Primates

This work focuses on the distribution of LINE-1 (a Long Interspersed Nuclear Element) in primates and its role during evolution and as a constituent of the architecture of primate genomes. To pinpoint the LINE-1 repeat distribution and its role among primates, LINE-1 probes were mapped onto chromosomes of Homo sapiens (Hominidae, Catarrhini), Sapajus apella, and Cebus capucinus (Cebidae, Platyrrhini) using fluorescence in situ hybridisation (FISH). The choice of platyrrhine species are due to the fact they are taxa characterised by a high level of rearrangements; for this reason, they could be a useful model for the study of LINE-1 and chromosome evolution. LINE-1 accumulation was found in …

Driver mutations and differential sensitivity to targeted therapies: a new approach to the treatment of lung adenocarcinoma

The adenocarcinoma of the lung has recently shown peculiar molecular characteristics, which relate with both carcinogenesis and response to targeted drugs. Several molecular alterations have been defined as "driver mutations". These are responsible for both the initiation and maintenance of the malignancy. The epidermal growth factor receptor (EGFR) pathway is the main regulator of cell function and cancer development. It has a widely defined role in the occurrence of driver mutations. Up till now EGFR gene mutations, KRAS gene mutations and EML4-ALK fusion genes are the most widely recognized alterations involved in both the biology and the clinical management of lung adenocarcinoma. In th…

Direct RNA nanopore sequencing of SARS-CoV-2 extracted from critical material from swabs

ABSTRACTBackgroundIn consideration of the increasing prevalence of COVID-19 cases in several countries and the resulting demand for unbiased sequencing approaches, we performed a direct RNA sequencing experiment using critical oropharyngeal swab samples collected from Italian patients infected with SARS-CoV-2 from the Palermo region in Sicily.MethodsHere, we identified the sequences SARS-CoV-2 directly in RNA extracted from critical samples using the Oxford Nanopore MinION technology without prior cDNA retro-transcription.ResultsUsing an appropriate bioinformatics pipeline, we could identify mutations in the nucleocapisid (N) gene, which have been reported previously in studies conducted in…

the proximal leptin gene promoter is regulated by ppar gamma agonist in MCF-7 and MDA-MB-231 breast cancer cells

VUS variants in BRCA genes of hereditary breast/ovarian cancer

Detection and quantification of mammaglobin in the blood of breast cancer patients: can it be useful as a potential clinical marker? Preliminary results of a GOIM (Gruppo Oncologico dell'Italia Meridionale) prospective study.

BACKGROUND: Mammaglobin is expressed mainly in mammary tissue, overexpressed in breast cancer (BC) and rarely in other tissue. The aim of this study was to assess the sensitivity and specificity of transcript MGB1 detection and to evaluate the role of MGB1 as potential clinical marker for the detection of disseminated cancer cells in the blood of BC patients. PATIENTS AND METHODS: A consecutive series of 23 BC tissues, 36 peripheral blood BC samples and 35 healthy peripheral blood samples was prospectively recruited to investigate MGB1 expression by means of a quantitative Real Time RT-PCR assay. RESULTS: MGB1 overexpression in tissue samples of BC patients is significantly associated only …

T Cells Expressing Receptor Recombination/Revision Machinery Are Detected in the Tumor Microenvironment and Expanded in Genomically Over-unstable Models

AbstractTumors undergo dynamic immunoediting as part of a process that balances immunologic sensing of emerging neoantigens and evasion from immune responses. Tumor-infiltrating lymphocytes (TIL) comprise heterogeneous subsets of peripheral T cells characterized by diverse functional differentiation states and dependence on T-cell receptor (TCR) specificity gained through recombination events during their development. We hypothesized that within the tumor microenvironment (TME), an antigenic milieu and immunologic interface, tumor-infiltrating peripheral T cells could reexpress key elements of the TCR recombination machinery, namely, Rag1 and Rag2 recombinases and Tdt polymerase, as a poten…

Three-dimensional conformal radiotherapy in localized carcinoma of prostate: preliminary reports of toxicity in dose-escalation treatment

Purpose Many studies confirmed the evidence of a dose-response relationship in prostate cancer. Escalation of dose using conventional techniques is however limited by rectal tolerance. IMRT and 3D-CRT have been designed to allow dose escalation while not exceeding rectal tolerance. We evaluated the acute and early late tolerance to surrounding organs upon dose escalation from 70 to 78 Gy in 3D-CRT setting, in order to introduce the IMRT process as a routine practice in prostate cancer treatment. Materials and Methods We compared clinical data from 35 patients with localized adenocarcinoma of the prostate, who received 70 Gy within a traditional reconstructed three-dimensional treatment plan…

ceRNA Network Regulation of TGF-β, WNT, FOXO, Hedgehog Pathways in the Pharynx of Ciona robusta

The transforming growth factor-β (TGF-β) family of cytokines performs a multifunctional signaling, which is integrated and coordinated in a signaling network that involves other pathways, such as Wintless, Forkhead box-O (FOXO) and Hedgehog and regulates pivotal functions related to cell fate in all tissues. In the hematopoietic system, TGF-β signaling controls a wide spectrum of biological processes, from immune system homeostasis to the quiescence and self-renewal of hematopoietic stem cells (HSCs). Recently an important role in post-transcription regulation has been attributed to two type of ncRNAs: microRNAs and pseudogenes. Ciona robusta, due to its philogenetic position close to verte…

33 EFFECT OF miR-21, miR-182 AND let-7i ON TSP-1 EXPRESSION IN COLON CANCER CELL LINE

Transcriptomic Analyses Reveal 2 and 4 Family Members of Cytochromes P450 (CYP) Involved in LPS Inflammatory Response in Pharynx of Ciona robusta

Cytochromes P450 (CYP) are enzymes responsible for the biotransformation of most endogenous and exogenous agents. The expression of each CYP is influenced by a unique combination of mechanisms and factors including genetic polymorphisms, induction by xenobiotics, and regulation by cytokines and hormones. In recent years, Ciona robusta, one of the closest living relatives of vertebrates, has become a model in various fields of biology, in particular for studying inflammatory response. Using an in vivo LPS exposure strategy, next-generation sequencing (NGS) and qRT-PCR combined with bioinformatics and in silico analyses, compared whole pharynx transcripts from naïve and LPS-exposed C. robusta…

Deep learning models for bacteria taxonomic classification of metagenomic data.

Background An open challenge in translational bioinformatics is the analysis of sequenced metagenomes from various environmental samples. Of course, several studies demonstrated the 16S ribosomal RNA could be considered as a barcode for bacteria classification at the genus level, but till now it is hard to identify the correct composition of metagenomic data from RNA-seq short-read data. 16S short-read data are generated using two next generation sequencing technologies, i.e. whole genome shotgun (WGS) and amplicon (AMP); typically, the former is filtered to obtain short-reads belonging to a 16S shotgun (SG), whereas the latter take into account only some specific 16S hypervariable regions.…

What are the Cancer Risks in BRCA Carriers Apart from Those Regarding the Breast and the Ovary?

Germline mutations in the tumor suppressor genes BRCA1 and BRCA2 predispose to familial breast and/or ovarian cancer. The lifetime risk of members of families with genetic predisposition depends on the mutations of susceptibility genes. BRCA1 mutations seem to confer the highest risk of developing neoplastic diseases. Apart from breast and ovarian cancer mutations in BRCA, related pathways are supposed to confer a smaller risk for additional cancers (colon, melanoma, pancreas, lymphoma, prostate, liver). All these tumors have an inherited component not necessarily associated with genetic susceptibility to BRCA genes. To date he main focus of this review has been argued still with difficulty…

Transcriptomic and Bioinformatic Analyses Identifying a Central Mif-Cop9-Nf-kB Signaling Network in Innate Immunity Response of Ciona robusta

The Ascidian C. robusta is a powerful model for studying innate immunity. LPS induction activates inflammatory-like reactions in the pharynx and the expression of several innate immune genes in granulocyte hemocytes such as cytokines, for instance, macrophage migration inhibitory factors (CrMifs). This leads to intracellular signaling involving the Nf-kB signaling cascade that triggers downstream pro-inflammatory gene expression. In mammals, the COP9 (Constitutive photomorphogenesis 9) signalosome (CSN) complex also results in the activation of the NF-kB pathway. It is a highly conserved complex in vertebrates, mainly engaged in proteasome degradation which is essential for maintaining proc…

How Much of Familial Breast Cancer Risk is Currently Explained by the Known Genes?

The need to answer the question “how much of the familial risk is currently explained by the known genes?” has increased ,and although BRCA1 and BRCA2 are considered the two major breast cancer (BC) susceptibility genes, they do not justify the entire percentage of all hereditary BC cases. The current consensus is that other BC predisposing genes could explain at least a portion of the remaining non-mutated familial cases, including not only other high- penetrance BC genes, but also moderate and low-penetrance genes. Considering these three different categories of genes, a gap of risk estimation in breast cancer can be observed. Moreover, different researchers tried to give significance to …

Direct RNA Nanopore Sequencing of SARS-CoV-2 Extracted from Critical Material from Swabs

In consideration of the increasing prevalence of COVID-19 cases in several countries and the resulting demand for unbiased sequencing approaches, we performed a direct RNA sequencing (direct RNA seq.) experiment using critical oropharyngeal swab samples collected from Italian patients infected with SARS-CoV-2 from the Palermo region in Sicily. Here, we identified the sequences SARS-CoV-2 directly in RNA extracted from critical samples using the Oxford Nanopore MinION technology without prior cDNA retrotranscription. Using an appropriate bioinformatics pipeline, we could identify mutations in the nucleocapsid (N) gene, which have been reported previously in studies conducted in other countri…

Potential Role of ANGPTL4 in the Cross Talk between Metabolism and Cancer through PPAR Signaling Pathway

The angiopoietin-like 4 (ANGPTL4) protein belongs to a superfamily of secreted proteins structurally related to factors modulating angiogenesis known as angiopoietins. At first, ANGPTL4 has been identified as an adipokine exclusively involved in lipid metabolism, because of its prevalent expression in liver and adipose tissue. This protein regulates lipid metabolism by inhibiting lipoprotein lipase (LPL) activity and stimulating lipolysis of white adipose tissue (WAT), resulting in increased levels of plasma triglycerides (TG) and fatty acids. Subsequently, ANGPTL4 has been shown to be involved in several nonmetabolic and metabolic conditions, both physiological and pathological, including …

Additional file 1 of Deep learning models for bacteria taxonomic classification of metagenomic data

Preliminary classification results. Preliminary classification results obtained training a model with a kind of input data, e.g. SG, and testing it with the other type of input data, e.g. AMP. (XLSX 9.52 kb)