Publications by authors named "A C Shirali"

Introduction: Thyroidectomy is considered a relatively safe procedure with a low risk of postoperative complications, making it challenging to identify predictors of complications to improve shared decision making. Recent advancements in clinical bioinformatics and surgical decision-making tools have the potential to improve patient outcomes. This systematic review aimed to assess the current understanding of factors predicting such complications following thyroidectomy.

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Background: While protein-protein docking is fundamental to our understanding of how proteins interact, scoring protein-protein complex conformations is a critical component of successful docking programs. Without accurate and efficient scoring functions to differentiate between native and non-native binding complexes, the accuracy of current docking tools cannot be guaranteed. Although many innovative scoring functions have been proposed, a good scoring function for docking remains elusive.

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Article Synopsis
  • High-dose methotrexate (MTX) can lead to serious complications like acute kidney injury (AKI), neutropenia, and liver damage, but glucarpidase, an enzyme that breaks down MTX, shows potential benefits.
  • In a study of 708 patients with MTX-AKI across 28 cancer centers, those receiving glucarpidase had a significantly higher chance of kidney recovery and faster recovery times compared to those who did not receive the treatment.
  • Additionally, glucarpidase treatment was associated with lower rates of severe neutropenia and liver enzyme elevation, but there was no notable difference in mortality rates between the two groups.
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Differentiated thyroid cancer in older adults has been linked to alterations in the mutational landscape and tumor immune cell infiltration that create a tumor-permissive microenvironment. We sought to determine the impact of age on genomic alterations and immune cell composition in papillary thyroid cancer (PTC). Genomic alterations, immune cell composition, and clinical data were obtained using The Cancer Genome Atlas and computational immunogenomic analyses.

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