Computational Biology Helps Understand How Polyploid Giant Cancer Cells Drive Tumor Success.

Precision and organization govern the cell cycle, ensuring normal proliferation. However, some cells may undergo abnormal cell divisions (neosis) or variations of mitotic cycles (endopolyploidy). Consequently, the formation of polyploid giant cancer cells (PGCCs), critical for tumor survival, resistance, and immortalization, can occur. Newly formed cells end up accessing numerous multicellular and unicellular programs that enable metastasis, drug resistance, tumor recurrence, and self-renewal or diverse clone formation. An integrative literature review was carried out, searching articles in several sites, including: PUBMED, NCBI-PMC, and Google Academic, published in English, indexed in referenced databases and without a publication time filter, but prioritizing articles from the last 3 years, to answer the following questions: (i) "What is the current knowledge about polyploidy in tumors?"; (ii) "What are the applications of computational studies for the understanding of cancer polyploidy?"; and (iii) "How do PGCCs contribute to tumorigenesis?"

Translational Bioinformatics Applied to the Study of Complex Diseases.

Translational Bioinformatics (TBI) is defined as the union of translational medicine and bioinformatics. It emerges as a major advance in science and technology by covering everything, from the most basic database discoveries, to the development of algorithms for molecular and cellular analysis, as well as their clinical applications. This technology makes it possible to access the knowledge of scientific evidence and apply it to clinical practice. This manuscript aims to highlight the role of TBI in the study of complex diseases, as well as its application to the understanding and treatment of cancer. An integrative literature review was carried out, obtaining articles through several websites, among them: PUBMED, Science Direct, NCBI-PMC, Scientific Electronic Library Online (SciELO), and Google Academic, published in English, Spanish, and Portuguese, indexed in the referred databases and answering the following guiding question: "How does TBI provide a scientific understanding of complex diseases?" An additional effort is aimed at the dissemination, inclusion, and perpetuation of TBI knowledge from the academic environment to society, helping the study, understanding, and elucidating of complex disease mechanics and their treatment.

Potential biomarkers of ductal carcinoma in situ progression.

BACKGROUND: Ductal carcinoma in situ is a non-obligate precursor of invasive breast carcinoma and presents a potential risk of over or undertreatment. Finding molecular biomarkers of disease progression could allow for more adequate patient treatment. We aimed to identify potential biomarkers that can predict invasiveness risk. METHODS: In this epithelial cell-based study archival formalin-fixed paraffin-embedded blocks from six patients diagnosed with invasive lesions (pure invasive ductal carcinoma), six with in-situ lesions (pure ductal carcinoma in situ), six with synchronous lesions (invasive ductal carcinoma with an in-situ component) and three non-neoplastic breast epithelium tissues were analyzed by gene expression profiling of 770 genes, using the nCounter® PanCancer Pathways panel of NanoString Technologies. RESULTS: The results showed that in comparison with non-neoplastic tissue the pure ductal carcinoma in situ was one with the most altered gene expression profile. Comparing pure ductal carcinoma in situ and in-situ component six differentially expressed genes were found, three of them (FGF2, GAS1, and SFRP1), play a role in cell invasiveness. Importantly, these genes were also differentially expressed between invasive and noninvasive groups and were negatively regulated in later stages of carcinogenesis. CONCLUSIONS: We propose these three genes (FGF2, GAS1, and SFRP1) as potential biomarkers of ductal carcinoma in situ progression, suggesting that their downregulation may be involved in the transition of stationary to migrating invasive epithelial cells.

A view of the maternal inheritance of Espírito Santo populations: The contrast between the admixed and Pomeranian descent groups.

In addition to its valuable utility in forensic investigations, mitochondrial DNA (mtDNA) analysis is a reliable tool to uncover the origins of admixed populations, such as Brazilians. The state of Espírito Santo (ES), similar to other coastal Brazilian states, has a population shaped by 3 main ancestral roots: Amerindian, African and European. Among the latter, the Pomeranian descendants stand out due to the preservation of the traditional aspects of their culture, especially the Pomeranian language. Despite the genetic data already available, there is no mtDNA database that adequately reflects the diversity, the geographic distribution, and the origins of the maternal lineages from ES. To increase the knowledge of maternal ancestry and to investigate the population's genetic stratification, a total of 291 samples were collected in the 4 macroregions (Metropolitan, South, Central and North) of ES and in the Pomeranian communities. Complete control region data were produced for the general (N=214) and Pomeranian (N=77) groups. Regarding the general population, the high values of haplotype diversity (H=99.9%) and pairwise differences (MNPD=16.9) found are in agreement with those reported for other populations in the southeast region of the country. Regarding maternal inheritance, the ES populations stood out due to the predominance of European haplogroups (49.5%), although the North macroregion had a higher African ancestry (47.1%). Among the Pomeranians, the lowest MNPD value (11.2) and the high percentage of shared haplotypes (15%) were indicative of founder events. The FST analysis showed that the Pomeranians (98.7% of European lineages) are genetically isolated from the other admixed populations in Brazil. This study demonstrated that the ES state contains singularities regarding the intrapopulational and interpopulational diversity of mtDNA. Even after 5 centuries of interethnic admixture, the present-day population of Espírito Santo harbors genetic marks that trace back to the historical aspects of its formation.