Biomedical subjects

Gabriel Arantes Dos Santos

Publications and source records attributed to Gabriel Arantes Dos Santos.

3 recordsLinked to original sources

PubMed2026

Mobile elements in pituitary neuroendocrine tumors: integrative evidence and future directions.

Mobile genetic elements (MGEs), including LINE-1 retrotransposons, Alu and SVA elements, and human endogenous retroviruses (HERVs), constitute nearly half of the human genome and are increasingly understood to influence multiple dimensions of cancer evolution. Yet, pituitary neuroendocrine tumors (PitNETs) remain almost absent from mobilome research, despite exhibiting genomic and epigenetic contexts permissive to retroelement activation. In this review, we synthesize current evidence linking MGEs to PitNET biology and delineate unresolved but testable mechanisms. Structural genomic studies demonstrate that Alu-mediated non-allelic homologous recombination contributes to germline mutagenesis in MEN1 and AIP, reinforcing the notion that repetitive DNA architecture shapes PitNET predisposition. Transcriptomic analyses reveal global derepression of transposable elements and LINE-1 hypomethylation in subsets of tumors, while mechanistic connections to chromatin instability emerge from recurrent ATRX/DAXX deficiency and TP53 inactivation, both established repressors of retroelements. Furthermore, the retrocopy-derived long non-coding RNA RPSAP52 exemplifies how mobilome-origin transcripts can be co-opted as oncogenic regulators in PitNETs, acting through HMGA2-dependent proliferative networks. Preliminary data also suggest endogenous retroviral activation, with consistent upregulation of HERV envelope genes across distinct tumor subtypes. Nevertheless, no study has yet systematically mapped somatic mobile-element insertions (MEIs), quantified LINE-1 protein activity, or profiled HERV expression at locus resolution in PitNETs. Mobilome biology represents a tractable and conceptually rich frontier with diagnostic, prognostic, and therapeutic potential in pituitary tumorigenesis.

Humans↗

PubMed2026

Tissue-Level Transcriptomic Entropy Reveals Organ-Specific Aging Patterns and Predicts Cancer Progression.

Although aging and cancer share complex molecular mechanisms, distinguishing causative factors from byproducts remains challenging. Here, we investigated the role of tissue transcriptomic entropy-a measure of transcriptional disorder-in aging and cancer processes by analyzing RNA-sequencing data from over 25,000 samples from human and mouse tissues. We found that entropy changes during aging are highly tissue-specific, with some tissues showing increased entropy while others exhibit decreased or stable entropy levels. Moreover, transcriptomic entropy strongly correlates with age-related processes, showing positive associations with proliferation, cellular senescence, somatic mutation burden, and cellular reprogramming, whereas it negatively correlates with stemness. In cancer, we observed that primary tumors generally display higher entropy than normal tissue, with its levels further increasing in metastatic stages. Cancer treatment modulated entropy patterns in multiple contexts, with changes suggesting a role for transcriptional complexity in tumor plasticity and therapy resistance. Elevated entropy levels predicted poor survival outcomes in multiple cancer types, suggesting its potential as a prognostic marker. Furthermore, differential expression analysis revealed that entropy-associated genes are enriched in developmental processes and depleted in metabolic pathways, indicating a possible link to cellular dedifferentiation. Finally, we found increased entropy in various age-related disorders beyond cancer, suggesting that transcriptomic entropy may be a common feature in age-related diseases. Our findings establish transcriptomic entropy as a fundamental parameter in aging and cancer progression, offering new insights into disease mechanisms.

Humans↗

PubMed2025

Interconnected study of molecular pathways: miR-137 as a central element at the intersection of lipid metabolism and prostate carcinogenesis.

OBJECTIVE: To evaluate the roles of miR-137 and its target genes in lipid metabolism and prostate tumorigenesis. METHODS: We used a series of bioinformatic approaches to establish the relationship between miR-137 and its target genes. We mapped the metabolic pathways of interest in the Reactome database and identified the central target genes of miR-137 in this pathway using four platforms: Reactome, miRDB, miRmap, and TargetScan. To assess the expression and association with clinical parameters, we obtained information from the UALCAN, OncoDB, and GEPIA2 databases using a dataset of patients with prostate cancer from The Cancer Genome Atlas. For functional enrichment analysis and construction of the protein-protein interaction network, we used the Kyoto Encyclopedia of Genes and Genomes, Gene Ontology, and STRING. RESULTS: Our in silico study of The Cancer Genome Atlas database revealed that miR-137 is underexpressed in tumor tissues, and its reduction is associated with poor prognosis. An intriguing set of eight genes within the PPARα pathway: PPARGC1A, PPARGC1B, NCOA1, NCOA2, NCOA3, MED1, MED27, and ESRRA displayed synergy, positive correlations, and synchronized expression patterns in adipose, hepatic, and prostatic tissues, all linked to the enigmatic processes of metabolic regulation. Among the highlighted genes, ESRRA was overexpressed in the malignant environment, whereas its counterparts remained underexpressed. The plot was thickened with associations between the expression of NCOA1, NCOA3, and MED27, lymph node involvement, and the overexpression of several genes linked to advanced prostate cancer stages. An intriguing pattern emerged, with patients exhibiting reduced disease-free survival overexpressing NCOA2, NCOA3, MED27, and ESRRA. CONCLUSION: This study elucidates the possibility that miR-137 subtly modulates metabolic genes in prostate cancer, suggesting its latent therapeutic potential as a biomarker for disease progression. BACKGROUND: ■ The reduction of miR-137 in tumor tissues is associated with a worse prognosis. BACKGROUND: ■ miR-137 has eight oncogenically relevant target genes acting in the PPARα lipid pathway. BACKGROUND: ■ NCOA1, NCOA3, MED27, and ESRRA are associated with advanced prostate cancer. BACKGROUND: ■ miR-137 exhibits significant clinical potential by repressing the activation of pathways that influence prostate tumorigenesis in hyperstimulated metabolic environments. BACKGROUND: Prostate cancer progression is sustained by the simultaneous activation of pathways involving lipid uptake and de novo synthesis. In this context, miR-137 inhibits adipogenic differentiation and may reduce lipid uptake by tumor cells by modulating the PPAR/ p160/ESRRA axis, considerably attenuating metabolic effects and suppressing prostate tumorigenesis.

Male↗