Publications by authors named "A F Garibaldi-Rios"

Background/objectives: Colorectal cancer (CRC) is a multifactorial disease where the inflammatory state is crucial. This study analyzes the association of the IL-1RN (rs2234663) and IL-1β (rs1143627, rs16944) variants and IL-1β levels with CRC.

Methods: This study included 230 CRC patients and 256 controls.

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This study investigated the association between the rs13306703 and rs8192288 variants of the superoxide dismutase 3 () gene and breast cancer (BC) in the Mexican population, conducting both genetic and in silico analyses. 357 healthy women and 386 BC patients were studied using TaqMan assays, qPCR, and RFLP-PCR. The genotype and a recessive pattern of these variants were risk factors for BC ( < 0.

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Article Synopsis
  • Pancreatic cancer (PC) has high mortality rates and is associated with mutations in up to 95% of cases, making the identification of biomarkers essential for diagnosis.
  • This study utilized in silico methods to uncover 210 deregulated miRNAs in PC, with specific focus on 16 miRNAs that affect gene expression and 9 that show links to clinical outcomes like mortality and survival rates.
  • Findings suggest that certain miRNAs, particularly hsa-miR-30a-5p and others, could serve as important biomarkers and targets for PC therapy, though further experimental validation is necessary.
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Objective: Vitiligo is a common systemic, idiopathic autoimmune disease. The aim of this study was to analyze the frequency of variants of the superoxide dismutase 1 (SOD1) gene (50 bp Ins/Del, rs4817415, rs2070424, rs1041740, rs17880135) and circulating plasma protein levels through in-silico analysis.

Patients And Methods: Blood samples were collected from adult patients of both sexes with a clinical diagnosis of vitiligo.

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The aim of this study was to associate rs1966265 and rs351855 variants with colorectal cancer (CRC) in a Mexican population and to perform in silico analysis. Genomic DNA from 412 healthy individuals and 475 CRC patients was analyzed. In silico analysis was performed using the PolyPhen-V2, GEPIA, GTEx, and Cytoscape platforms.

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