PAZ Y MIÑO CEPEDA, CÉSAR ANTONIO

Preferred name

Main Affiliation

Facultad de Ciencias de la Salud Eugenio Espejo

ORCID

0000-0002-6693-7344

Scopus Author ID

57196263036

Now showing 1 - 10 of 49

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INFECTION DYNAMICS OF BATRACHOCHYTRIUM DENDROBATIDIS IN TWO FROG SPECIES INHABITING QUITO'S METROPOLITAN GUANGÜILTAGUA PARK, ECUADOR
(Wildlife Disease Association, 2021-10-11)
David A. Narváez-Narváez
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Alejandro Cabrera-Andrade
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Andrés Merino-Viteri
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PAZ Y MIÑO CEPEDA, CESAR ANTONIO
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Germán Burgos
Scopus© Citations 4
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Genetic variation of high-altitude Ecuadorian population using autosomal STR markers
(Elsevier BV, 2019-12)
ZAMBRANO ESPINOSA, ANA KARINA
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A. Gaviria
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M. Vela
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C. Rodríguez-Pollit
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GUEVARA RAMIREZ, ALEXANDRA PATRICIA
Scopus© Citations 1
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Gene prioritization, communality analysis, networking and metabolic integrated pathway to better understand breast cancer pathogenesis
(Springer Science and Business Media LLC, 2018-11-12)
Andrés López-Cortés
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PAZ Y MIÑO CEPEDA, CESAR ANTONIO
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Alejandro Cabrera-Andrade
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Stephen J. Barigye
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Cristian R. Munteanu
<jats:title>Abstract</jats:title><jats:p>Consensus strategy was proved to be highly efficient in the recognition of gene-disease association. Therefore, the main objective of this study was to apply theoretical approaches to explore genes and communities directly involved in breast cancer (BC) pathogenesis. We evaluated the consensus between 8 prioritization strategies for the early recognition of pathogenic genes. A communality analysis in the protein-protein interaction (PPi) network of previously selected genes was enriched with gene ontology, metabolic pathways, as well as oncogenomics validation with the OncoPPi and DRIVE projects. The consensus genes were rationally filtered to 1842 genes. The communality analysis showed an enrichment of 14 communities specially connected with ERBB, PI3K-AKT, mTOR, FOXO, p53, HIF-1, VEGF, MAPK and prolactin signaling pathways. Genes with highest ranking were TP53, ESR1, BRCA2, BRCA1 and ERBB2. Genes with highest connectivity degree were TP53, AKT1, SRC, CREBBP and EP300. The connectivity degree allowed to establish a significant correlation between the OncoPPi network and our BC integrated network conformed by 51 genes and 62 PPi. In addition, CCND1, RAD51, CDC42, YAP1 and RPA1 were functional genes with significant sensitivity score in BC cell lines. In conclusion, the consensus strategy identifies both well-known pathogenic genes and prioritized genes that need to be further explored.</jats:p>
Scopus© Citations 37
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Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks
(Springer Science and Business Media LLC, 2020-05-22)
Andrés López-Cortés
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Alejandro Cabrera-Andrade
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José M. Vázquez-Naya
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Alejandro Pazos
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Humberto González-Díaz
<jats:title>Abstract</jats:title><jats:p>Breast cancer (BC) is a heterogeneous disease where genomic alterations, protein expression deregulation, signaling pathway alterations, hormone disruption, ethnicity and environmental determinants are involved. Due to the complexity of BC, the prediction of proteins involved in this disease is a trending topic in drug design. This work is proposing accurate prediction classifier for BC proteins using six sets of protein sequence descriptors and 13 machine-learning methods. After using a univariate feature selection for the mix of five descriptor families, the best classifier was obtained using multilayer perceptron method (artificial neural network) and 300 features. The performance of the model is demonstrated by the area under the receiver operating characteristics (AUROC) of 0.980 ± 0.0037, and accuracy of 0.936 ± 0.0056 (3-fold cross-validation). Regarding the prediction of 4,504 cancer-associated proteins using this model, the best ranked cancer immunotherapy proteins related to BC were RPS27, SUPT4H1, CLPSL2, POLR2K, RPL38, AKT3, CDK3, RPS20, RASL11A and UBTD1; the best ranked metastasis driver proteins related to BC were S100A9, DDA1, TXN, PRNP, RPS27, S100A14, S100A7, MAPK1, AGR3 and NDUFA13; and the best ranked RNA-binding proteins related to BC were S100A9, TXN, RPS27L, RPS27, RPS27A, RPL38, MRPL54, PPAN, RPS20 and CSRP1. This powerful model predicts several BC-related proteins that should be deeply studied to find new biomarkers and better therapeutic targets. Scripts can be downloaded at<jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://github.com/muntisa/neural-networks-for-breast-cancer-proteins">https://github.com/muntisa/neural-networks-for-breast-cancer-proteins</jats:ext-link>.</jats:p>
Scopus© Citations 55
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Consensus strategy in genes prioritization and combined bioinformatics analysis for preeclampsia pathogenesis
(Springer Science and Business Media LLC, 2017-08-08)
Eduardo Tejera
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Maykel Cruz-Monteagudo
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Germán Burgos
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María-Eugenia Sánchez
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Aminael Sánchez-Rodríguez
Scopus© Citations 22
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Salivary MicroRNAs for Early Detection of Head and Neck Squamous Cell Carcinoma: A Case-Control Study in the High Altitude Mestizo Ecuadorian Population
(Hindawi Limited, 2018-11-21)
Carolina Salazar-Ruales
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Jessica-Viviana Arguello
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Andrés López-Cortés
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Alejandro Cabrera-Andrade
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Jennyfer M. García-Cárdenas
<jats:p>Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer with the highest incidence worldwide. HNSCC is often diagnosed at advanced stages, incurring significant high mortality and morbidity. The use of saliva, as a noninvasive tool for the diagnosis of cancer, has recently increased. Salivary microRNAs (miRNAs) have emerged as a promising molecular tool for early diagnosis of HNSCC. The aim was to identify the differential expression of salivary miRNAs associated with HNSCC in the high altitude mestizo Ecuadorian population. Using PCR Arrays, miR-122-5p, miR-92a-3p, miR-124-3p, miR-205-5p, and miR-146a-5p were found as the most representative ones. Subsequently, miRNAs expression was confirmed in saliva samples from 108 cases and 108 controls. miR-122-5p, miR-92a-3p, miR-124-3p, and miR-146a-5p showed significant statistical difference between cases and controls with areas under the curve (AUC) of 0.73 (p < 0.001), 0.70 (p < 0.001), 0.71 (p = 0.002), and 0.66 (p = 0.008), respectively. miRNAs were also deregulated in between HNSCC localizations. A differentiated expression of miR-122-5p between oral cancer and oropharynx cancer (AUC of 0.96 p = 0.01) was found: miR-124-3p between larynx and pharynx (AUC = 0.97, p < 0.01) and miR-146a-5p between larynx, oropharynx, and oral cavity (AUC = 0.96, p = 0.01). Moreover, miR-122-5p, miR-124-3p, miR-205-5p, and miR-146a-5p could differentiate between HPV+ and HPV- (p=0.004). Finally, the expression profiles of the five miRNAs were evaluated to discriminate HNSCC patient’s tumor stages (TNM 2-4). miR-122-5p differentiates TNM 2 and 3 (p = 0.002, AUC = 0.92), miR-124-3p TNM 2, 3, and 4 (p < 0.001, AUC = 98), miR-146a-5p TNM 2 and 3 (p < 0.001, AUC = 0.97), and miR-92a-3p TNM 3 (p < 0.001, AUC = 0.99). Taken together, these findings show that altered expression of miRNAs could be used as biomarkers for HNSCC diagnosis in the high altitude mestizo Ecuadorian population.</jats:p>
Scopus© Citations 54
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Evaluation of ancestral membership proportions and genotype distribution in the perception of Umami taste in Ecuadorian mestizos
(Elsevier BV, 2017-12)
PAZ Y MIÑO CEPEDA, CESAR ANTONIO
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J.M. García-Cárdenas
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A. López-Cortés
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A. Cabrera-Andrade
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GUEVARA RAMIREZ, ALEXANDRA PATRICIA
Scopus© Citations 1
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Mutational analysis of CFTR in the Ecuadorian population using next-generation sequencing
(Elsevier BV, 2019-05)
Juan Carlos Ruiz-Cabezas
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Francisco Barros
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Beatriz Sobrino
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Gustavo García
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Ramiro Burgos
Scopus© Citations 8
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Ancestry study in Ecuadorian population with multiple myeloma
(Ovid Technologies (Wolters Kluwer Health), 2017)
P.E. Leone
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A. Cabrera-Andrade
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J.M. García-Cárdenas
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D.A. González
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GUEVARA RAMIREZ, ALEXANDRA PATRICIA
Scopus© Citations 1
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Tracing the genetic history of the ‘Cañaris’ from Ecuador and Peru using uniparental DNA markers
(Springer Science and Business Media LLC, 2020-09)
José R. Sandoval
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Daniela R. Lacerda
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Marilza M. S. Jota
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Paulo Robles-Ruiz
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Pierina Danos
<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>According to history, in the pre-Hispanic period, during the conquest and Inka expansion in Ecuador, many Andean families of the Cañar region would have been displaced to several places of<jats:italic>Tawantinsuyu</jats:italic>, including Kañaris, a Quechua-speaking community located at the highlands of the Province of Ferreñafe, Lambayeque (Peru). Other families were probably taken from the Central Andes to a place close to Kañaris, named Inkawasi. Evidence of this migration comes from the presence near the Kañaris–Inkawasi communities of a village, a former Inka camp, which persists until the present day. This scenario could explain these toponyms, but it is still controversial. To clarify this historical question, the study presented here focused on the inference of the genetic relationship between ‘Cañaris’ populations, particularly of Cañar and Ferreñafe, compared to other highland populations. We analysed native patrilineal Y chromosome haplotypes composed of 15 short tandem repeats, a set of SNPs, and maternal mitochondrial DNA haplotypes of control region sequences.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>After the genetic comparisons of local populations—three from Ecuador and seven from Peru—, Y chromosome analyses (<jats:italic>n</jats:italic> = 376) indicated that individuals from the Cañar region do not share Y haplotypes with the Kañaris, or even with those of the Inkawasi. However, some Y haplotypes of Ecuadorian ‘Cañaris’ were associated with haplotypes of the Peruvian populations of Cajamarca, Chivay (Arequipa), Cusco and Lake Titicaca, an observation that is congruent with colonial records. Within the Kañaris and Inkawasi communities there are at least five clans in which several individuals share haplotypes, indicating that they have recent common ancestors. Despite their relative isolation, most individuals of both communities are related to those of the Cajamarca and Chachapoyas in Peru, consistent with the spoken Quechua and their geographic proximity. With respect to mitochondrial DNA haplotypes (<jats:italic>n</jats:italic> = 379), with the exception of a shared haplotype of the D1 lineage between the Cañar and Kañaris, there are no genetic affinities.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Although there is no close genetic relationship between the Peruvian Kañaris (including Inkawasi) and Ecuadorian Cañar populations, our results showed some congruence with historical records.</jats:p></jats:sec>
Scopus© Citations 7

PAZ Y MIÑO CEPEDA, CÉSAR ANTONIO

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