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Medicine and Health Sciences Commons

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Medical Specialties

LSU Health Science Center

Series

2022

Signaling pathways

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

Metabolic Pathways Enriched According To Erg Status Are Associated With Biochemical Recurrence In Hispanic/Latino Patients With Prostate Cancer, Natalia L. Acosta-Vega, Rodolfo Varela, Jorge Andrés Mesa, Jone Garai, Melody C. Baddoo, Alberto Gómez-Gutiérrez, Silvia J. Serrano-Gómez, Marcela Nuñez Lemus, Martha Lucía Serrano, Jovanny Zabaleta, Alba L. Combita, María Carolina Sanabria-Salas Nov 2022

Metabolic Pathways Enriched According To Erg Status Are Associated With Biochemical Recurrence In Hispanic/Latino Patients With Prostate Cancer, Natalia L. Acosta-Vega, Rodolfo Varela, Jorge Andrés Mesa, Jone Garai, Melody C. Baddoo, Alberto Gómez-Gutiérrez, Silvia J. Serrano-Gómez, Marcela Nuñez Lemus, Martha Lucía Serrano, Jovanny Zabaleta, Alba L. Combita, María Carolina Sanabria-Salas

School of Medicine Faculty Publications

Background: The role of ERG-status molecular subtyping in prognosis of prostate cancer (PCa) is still under debate. In this study, we identified differentially expressed genes (DEGs) according to ERG-status to explore their enriched pathways and implications in prognosis in Hispanic/Latino PCa patients. Methods: RNA from 78 Hispanic PCa tissues from radical prostatectomies (RP) were used for RNA-sequencing. ERGhigh/ERGlow tumor groups were determined based on the 1.5-fold change median expression in non-tumor samples. DEGs with a False Discovery Rate (FDR) < 0.01 and a fold change >2 were identified between ERGhigh and ERGlow tumors and submitted to enrichment analysis in MetaCore. Survival and association analyses were performed …


Landscape Of Molecular Crosstalk Perturbation Between Lung Cancer And Covid-19, Aditi Kuchi, Jiande Wu, Jyotsna Fuloria, Chindo Hicks Mar 2022

Landscape Of Molecular Crosstalk Perturbation Between Lung Cancer And Covid-19, Aditi Kuchi, Jiande Wu, Jyotsna Fuloria, Chindo Hicks

School of Medicine Faculty Publications

Background: Lung cancer patients have the worst outcomes when affected by coronavirus disease 2019 (COVID-19). The molecular mechanisms underlying the association between lung cancer and COVID-19 remain unknown. The objective of this investigation was to determine whether there is crosstalk in molecular perturbation between COVID-19 and lung cancer, and to identify a molecular signature, molecular networks and signaling pathways shared by the two diseases. Methods: We analyzed publicly available gene expression data from 52 severely affected COVID-19 human lung samples, 594 lung tumor samples and 54 normal disease-free lung samples. We performed network and pathways analysis to identify molecular networks …