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Tertiary lymphoid structures in high-grade serous tubo-ovarian carcinoma: anatomical site matters.
Cancer Immunol Immunother
January 2025
Division of Oncology, Department of Clinical Sciences Lund, and Lund University Cancer Center, Lund University, Lund, Sweden.
Tertiary lymphoid structures (TLS) in the tumor microenvironment are prognostically beneficial in many solid cancer types. Reports on TLS in high-grade serous tubo-ovarian carcinoma (HGSC) are few, and the prognostic impact is unclear. We investigated mature TLS (mTLS), immature TLS (iTLS) and lymphoid aggregates (LA) in primary adnexal tumors (PTs) and synchronous omental/peritoneal metastases (pMets) of HGSC.
View Article and Find Full Text PDFBasic Science and Pathogenesis.
Alzheimers Dement
December 2024
Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
Background: Positron emission tomography (PET) imaging greatly impacted Alzheimer's disease (AD) research and diagnosis. which makes predicting PET brain imaging alterations using blood data is of high interest. Additionally, integrating PET and omics data can provide new insights into AD pathophysiology.
View Article and Find Full Text PDFBasic Science and Pathogenesis.
Alzheimers Dement
December 2024
Cleveland Institute for Computational Biology, Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
Background: While there are numerous genome-wide association studies (GWAS) assessing the genetic basis of Alzheimer's disease (AD), there are far fewer studies examining genetic factors for cognitive and global resilience to AD neuropathology. By focusing on a gene-level rather than a single-variant basis, transcriptome-wide association studies (TWAS) have increased statistical power relative to GWAS and can assess the role of genetically regulated gene expression in AD resilience. We leveraged the largest available cis-eQTL meta-analysis summary statistics from brain tissue (MetaBrain Brain-Cortex; N = 2,547) and whole blood (eQTLGen; N = 31,684) and applied them to the largest cognitive and global resilience to AD neuropathology summary statistics from Dumitrescu et al.
View Article and Find Full Text PDFOnline-adjusted evolutionary biclustering algorithm to identify significant modules in gene expression data.
Brief Bioinform
November 2024
Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Circuito Escolar, Ciudad Universitaria, 04510 Mexico city, México.
Analyzing gene expression data helps the identification of significant biological relationships in genes. With a growing number of open biological datasets available, it is paramount to use reliable and innovative methods to perform in-depth analyses of biological data and ensure that informed decisions are made based on accurate information. Evolutionary algorithms have been successful in the analysis of biological datasets.
View Article and Find Full Text PDFStructural Variation Interpretation in the Genome Sequencing Era: Lessons from Cytogenetics.
Clin Chem
January 2025
Department of Pathology, University of Utah School of Medicine, Salt Lake City, UT, United States.
Background: Structural variation (SV), defined as balanced and unbalanced chromosomal rearrangements >1 kb, is a major contributor to germline and neoplastic disease. Large variants have historically been evaluated by chromosome analysis and now are commonly recognized by chromosomal microarray analysis (CMA). The increasing application of genome sequencing (GS) in the clinic and the relatively high incidence of chromosomal abnormalities in sick newborns and children highlights the need for accurate SV interpretation and reporting.
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