Publications by authors named "Evgenii Chekalin"

There is limited access to molecular genetic testing in most low- and middle-income countries. The iHope program provides clinical genome sequencing (cGS) to underserved individuals with signs or symptoms of rare genetic diseases and limited or no access to molecular genetic testing. Here we describe the performance and impact of cGS in 247 patients from three clinics in Peru.

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Article Synopsis
  • Clinical genome sequencing (cGS) shows promise in diagnosing rare genetic diseases, especially in underserved populations, with a study examining its effectiveness across high-income and low- and middle-income countries.
  • The iHope program assessed 1,004 individuals and found a 41.4% diagnostic yield, with those from low- and middle-income countries being 1.7 times more likely to receive positive results compared to high-income counterparts.
  • Over 76% of individuals experienced changes in diagnostic evaluation, and around 41% had changes in management strategies, indicating increased access to genomic testing may help reduce healthcare disparities globally.
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Most B-Raf proto-oncogene (BRAF)-mutant melanoma tumors respond initially to BRAF inhibitor (BRAFi)/mitogen-activated protein kinase kinase 1 inhibitor (MEKi) therapy, although few patients have durable long-term responses to these agents. The goal of this study was to use an unbiased computational approach to identify inhibitors that reverse an experimentally derived BRAFi resistance gene expression signature. Using this approach, we found that ibrutinib effectively reverses this signature, and we demonstrate experimentally that ibrutinib resensitizes a subset of BRAFi-resistant melanoma cells to vemurafenib.

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The repurposing of existing drugs offers the potential to expedite therapeutic discovery against the current COVID-19 pandemic caused by the SARS-CoV-2 virus. We have developed an integrative approach to predict repurposed drug candidates that can reverse SARS-CoV-2-induced gene expression in host cells, and evaluate their efficacy against SARS-CoV-2 infection . We found that 13 virus-induced gene expression signatures computed from various viral preclinical models could be reversed by compounds previously identified to be effective against SARS- or MERS-CoV, as well as drug candidates recently reported to be efficacious against SARS-CoV-2.

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