Actionable mutations in non-small cell lung cancer in patients at hospital de Especialidades Eugenio Espejo, Ecuador 2017-2020.

OBJECTIVES: Determine the frequency of actionable mutations in non-small cell lung cancer (NSCLC) and their correlation with overall survival (OS) and the site of metastases. METHODS: We performed a descriptive cross-sectional study at the Hospital de Especialidades Eugenio Espejo, Ecuador, between 2017 and 2020. Demographic, pathological, and molecular alterations in epidermal growth factor (EGFR), Anaplastic lymphoma kinase (ALK), ROS proto-oncogene 1 (ROS1), Programmed death-ligand 1 (PD-L1) expression, and clinical data detailed in patients' medical records with metastatic NSCLC were collected and analyzed. Seventy-nine stage IV patients had NSCLC; adenocarcinoma histology represents 56 (70.9%). The predominant mutation was in EGFR (22.8%); the most common variant was the deletion of exon 19 (72.2%). The most common metastatic site was in the contralateral lung (22.3%); however, this variable showed no significant correlation to the molecular markers (p=0.057). The overall survival (OS) and the status of molecular markers are not statistically significant (p=0.27). OS was better for non-mutated EGFR than for mutated EGFR (p=0.012). However, the frequency values are unrelated to contralateral lung metastasis or survival. CONCLUSIONS: Our frequency mutations are concordant with those found in other studies in Latin America. EGFR was the most common biomarker mutation, and there was a better OS in EGFR non-mutated patient.

Genetic Variations of the DPYD Gene and Its Relationship with Ancestry Proportions in Different Ecuadorian Trihybrid Populations.

Dihydropyrimidine dehydrogenase is one of the main pharmacological metabolizers of fluoropyrimidines, a group of drugs widely used in clinical oncology. Around 20 to 30% of patients treated with fluoropyrimidines experience severe toxicity caused by a partial or total decrease in enzymatic activity. This decrease is due to molecular variants in the DPYD gene. Their prevalence and allelic frequencies vary considerably worldwide, so their description in heterogeneous groups such as the Ecuadorian population will allow for the description of pharmacogenetic variants and proper characterization of this population. Thus, we genotyped all the molecular variants with a predictive value for DPYD in a total of 410 Ecuadorian individuals belonging to Mestizo, Afro-Ecuadorian, and Indigenous ethnic groups. Moreover, we developed a genetic ancestry analysis using 46 autosomal ancestry informative markers. We determined 20 genetic variations in 5 amplified regions, including 3 novel single nucleotide variants. The allele frequencies for DPYD variants c.1627G>A (*5, rs1801159), c.1129-15T>C (rs56293913), c.1218G>A (rs61622928), rs1337752, rs141050810, rs2786783, rs2811178, and g.97450142G>A (chr1, GRCh38.p13) are significantly related to Native American and African ancestry proportions. In addition, the FST calculated from these variants demonstrates the closeness between Indigenous and Mestizo populations, and evidences genetic divergence between Afro-Ecuadorian groups when compared with Mestizo and Indigenous ethnic groups. In conclusion, the genetic variability in the DPYD gene is related to the genetic component of ancestral populations in different Ecuadorian ethnic groups. The absence and low frequency of variants with predictive value for fluoropyrimidine toxicity such as DPYD *2A, HapB3, and c.2846A>T (prevalent in populations with European ancestry) is consistent with the genetic background found.

A Multi-Objective Approach for Anti-Osteosarcoma Cancer Agents Discovery through Drug Repurposing.

Osteosarcoma is the most common type of primary malignant bone tumor. Although nowadays 5-year survival rates can reach up to 60-70%, acute complications and late effects of osteosarcoma therapy are two of the limiting factors in treatments. We developed a multi-objective algorithm for the repurposing of new anti-osteosarcoma drugs, based on the modeling of molecules with described activity for HOS, MG63, SAOS2, and U2OS cell lines in the ChEMBL database. Several predictive models were obtained for each cell line and those with accuracy greater than 0.8 were integrated into a desirability function for the final multi-objective model. An exhaustive exploration of model combinations was carried out to obtain the best multi-objective model in virtual screening. For the top 1% of the screened list, the final model showed a BEDROC = 0.562, EF = 27.6, and AUC = 0.653. The repositioning was performed on 2218 molecules described in DrugBank. Within the top-ranked drugs, we found: temsirolimus, paclitaxel, sirolimus, everolimus, and cabazitaxel, which are antineoplastic drugs described in clinical trials for cancer in general. Interestingly, we found several broad-spectrum antibiotics and antiretroviral agents. This powerful model predicts several drugs that should be studied in depth to find new chemotherapy regimens and to propose new strategies for osteosarcoma treatment.

Genetic characterization of Parkinson's disease patients in Ecuador and Colombia.

To help address the scarcity of studies on the genetics of Parkinson's disease (PD) in Latin America, we screened 426 Ecuadorians with PD and 80 Colombians (PD = 55, Control = 26) for mutations within several PD-related genes. Among Colombians, we identified several variants within PARKIN and PINK1 genes.

Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis.

Osteosarcoma is the most common subtype of primary bone cancer, affecting mostly adolescents. In recent years, several studies have focused on elucidating the molecular mechanisms of this sarcoma; however, its molecular etiology has still not been determined with precision. Therefore, we applied a consensus strategy with the use of several bioinformatics tools to prioritize genes involved in its pathogenesis. Subsequently, we assessed the physical interactions of the previously selected genes and applied a communality analysis to this protein-protein interaction network. The consensus strategy prioritized a total list of 553 genes. Our enrichment analysis validates several studies that describe the signaling pathways PI3K/AKT and MAPK/ERK as pathogenic. The gene ontology described TP53 as a principal signal transducer that chiefly mediates processes associated with cell cycle and DNA damage response It is interesting to note that the communality analysis clusters several members involved in metastasis events, such as MMP2 and MMP9, and genes associated with DNA repair complexes, like ATM, ATR, CHEK1, and RAD51. In this study, we have identified well-known pathogenic genes for osteosarcoma and prioritized genes that need to be further explored.

Pharmacogenomics, biomarker network, and allele frequencies in colorectal cancer.

Colorectal cancer is one of the leading causes of cancer death worldwide. Over the last decades, several studies have shown that tumor-related genomic alterations predict tumor prognosis, drug response, and toxicity. These observations have led to the development of several therapies based on individual genomic profiles. As part of these approaches, pharmacogenomics analyses genomic alterations which may predict an efficient therapeutic response. Studying these mutations as biomarkers for predicting drug response is of a great interest to improve precision medicine. We conduct a comprehensive review of the main pharmacogenomics biomarkers and genomic alterations affecting enzyme activity, transporter capacity, channels, and receptors; and therefore the new advances in CRC precision medicine to select the best therapeutic strategy in populations worldwide, with a focus on Latin America.

Multiple Endocrine Neoplasia Type 2B (MEN2B) delayed diagnosis: importance of opportune recognition of MEN2 Syndromes in pediatric thyroid cancer

ABSTRACT Background: RET proto-oncogene mutations are responsible for familial thyroid medullary carcinoma and multiple endocrine neoplasia (MEN) type 2A and 2B. These syndromes develop specific biomarkers and, in the case of MEN2B, clinically observable stigmas. However, the diagnosis of patients with MEN2B is usually delayed. Because of the close genotype-phenotype correlation, molecular testing is the final approach for the diagnosis to establish preventive care and therapeutic behaviors. Discussion: pM918T is classified as ''highest risk'' for medullary carcinoma with a 50% of lifetime risk for developing pheochromocytoma. Most cases of MEN2B are due to a de novo mutation. Even with the increased risk of developing pheochromocytoma, our 24-year-old patient does not yet present one. Other factors may be involved in the modulation of the phenotype in different populations. Case report: We present the case of a woman diagnosed with a thyroid nodule at the age of nine. She underwent a total thyroidectomy plus radical cervical lymph node dissection, with a diagnosis and initial management of papillary thyroid carcinoma. During the evolution of the disease, she developed pulmonary metastases. At the age of 24, after her first endocrinological evaluation, typical physical manifestations of MEN2B were observed. A re-evaluation of the original thyroidectomy revealed a medullary carcinoma, with positive manifestation CEA and calcitonin. The analysis of RET proto-oncogene identified a de novo mutation in exon 16 (pM918T). Conclusion: The timely diagnosis of MEN2B offers opportunities to make appropriate preventive and therapeutic decisions that may change the natural evolution of the disease and its complications.

Genetic polymorphisms in MTHFR (C677T, A1298C), MTR (A2756G) and MTRR (A66G) genes associated with pathological characteristics of prostate cancer in the Ecuadorian population.

INTRODUCTION: The methylenetetrahydrofolate reductase (MTHFR), methionine synthase (MTR) and MTR reductase (MTRR) enzymes act in the folate metabolism, which is essential in methylation and synthesis of nucleic acids. The single nucleotide polymorphisms, MTHFR C677T, A1298C, MTR A2756G and MTRR A66G, cause alteration in the homocysteine levels and reduced enzymatic activity that generates deficiency in the assimilation of folates associated with DNA damage; that is, why it is important to know if the single nucleotide polymorphisms are associated with the pathological characteristics and development of prostate cancer, through a case-control retrospective study. METHODS: DNA was extracted from 110 healthy and 104 affected men. The genotypes were determined by means of the polymerase chain reaction-restriction fragment length polymorphism and confirmed with genomic sequencing. RESULTS: We found significant association between the genotypes of the MTHFR C677T polymorphism: C/T (odds ratio [OR] = 2.2; 95% confidence interval [CI] = 1.3-3.9; P = 0.008) and C/T + T/T (OR = 2.2; 95% CI = 1.3-3.9; P = 0.009) with the risk of prostate cancer development, and a slight association with MTRR A66G. Regarding pathological characteristics, we found significant risk between the C/T + T/T genotypes and the Gleason score (7-10) of poorly differentiated carcinoma (OR = 5.2; 95% CI = 1.7-16.2; P = 0.007). On the other hand, a significant association between A1298C, A66G, and A2756G with the pathological characteristics was not found (P > 0.05). CONCLUSIONS: The MTHFR C677T polymorphism has significant effects on susceptibility to prostate cancer in Ecuadorian population, especially with the Gleason grade.