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Germline and sporadic mTOR pathway mutations in low-grade oncocytic tumor of the kidney.

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TLDR
In this article, the authors describe 22 low-grade oncocytic tumor (LOT) cases corresponding to 7 patients presenting with a median age of 75 years (range 63-86 years) and male to female ratio 2:5.
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This article is published in Modern Pathology.The article was published on 2021-09-20. It has received 23 citations till now. The article focuses on the topics: Eosinophilic & TSC1.

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Renal Cell Carcinoma in Tuberous Sclerosis Complex.

TL;DR: A detailed understanding of the pathologic features of these distinctive tumors, which include chromophobe-like features and eosinophilia, with some of the tumors unclassified, is provided in this paper.
Journal ArticleDOI

TSC/mTOR Pathway Mutation Associated Eosinophilic/Oncocytic Renal Neoplasms: A Heterogeneous Group of Tumors with Distinct Morphology, Immunohistochemical Profile, and Similar Genetic Background

TL;DR: Despite the common genetic background, it appears that the tumors with TSC/mTOR mutations represent a diverse group of distinct renal neoplasms.
References
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ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data

TL;DR: The ANNOVAR tool to annotate single nucleotide variants and insertions/deletions, such as examining their functional consequence on genes, inferring cytogenetic bands, reporting functional importance scores, finding variants in conserved regions, or identifying variants reported in the 1000 Genomes Project and dbSNP is developed.
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Adjusting batch effects in microarray expression data using empirical Bayes methods

TL;DR: This paper proposed parametric and non-parametric empirical Bayes frameworks for adjusting data for batch effects that is robust to outliers in small sample sizes and performs comparable to existing methods for large samples.
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A scaling normalization method for differential expression analysis of RNA-seq data

TL;DR: A simple and effective method for performing normalization is outlined and dramatically improved results for inferring differential expression in simulated and publicly available data sets are shown.
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