ADAMTSL1
- Known as:
- ADAMTSL1
- Catalog number:
- 001173A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- ADAMTSL1
Related genes to: ADAMTSL1
- Gene:
- ADAMTSL1 NIH gene
- Name:
- ADAMTS like 1
- Previous symbol:
- C9orf94
- Synonyms:
- ADAMTSR1, FLJ35283
- Chromosome:
- 9p22.2-p22.1
- Locus Type:
- gene with protein product
- Date approved:
- 2002-01-11
- Date modifiied:
- 2018-02-13
Related products to: ADAMTSL1
Related articles to: ADAMTSL1
- Immune checkpoint inhibitors (ICIs) have significantly improved overall survival in metastatic urothelial carcinoma (mUC). However, predictive biomarkers for therapeutic response remain insufficiently defined. Although some genomic alterations have been implicated in modulating tumor immunogenicity and ICI sensitivity in other cancers, evidence in mUC remains limited and warrants further investigation. - Source: PubMed
Publication date: 2026/07/07
Su Yu-LiHuang Shih-YuKuo Chung-WenXiao Ling-YiLin Chang-TingChen Yi-HuaChang Li-ChungKuo Ming-ChunWu Chia-ChePeng Jei-MingWu Chia-LingHuang Hsuan-YingChien Chih-Yen - The buffalo is an important agricultural species due to its many productive characteristics, which encourage its use worldwide. Uncovering the processes of selective sweeps is critical for a comprehensive understanding of genomic mechanisms that influence phenotypic differentiation in buffalo. This study aims to refine signatures of selection in Bulgarian (BUL), Hungarian (HUN), and Romanian (ROM) buffalo breeds using runs of homozygosity (ROHs), the integrated haplotype score (iHS), the standardized log-ratio of the integrated site-specific extended haplotype homozygosity (EHH) between pairs of breeds test (Rsb), and cross-population EHH (XP-EHH) approaches. The SNP dataset of 160 genotypes from BUL, HUN, and ROM buffalo breeds was genotyped using the Axiom Buffalo Genotyping Array 90K from Affymetrix. By combining the ROH, iHS, Rsb, and XP-EHH methods, we identified many important genomic regions and candidate genes associated with milk production (, , and ), reproduction (, , , , and ), growth (, , and ), immune response (, , , and ), and adaptation () in BUL, HUN, and ROM buffalo breeds. Our findings highlighted selection signals and genes related to important economic traits in the BUL, HUN, and ROM buffalo breeds, providing promising candidate genes for further research and inclusion in conservation and selection plans for these breeds. - Source: PubMed
Publication date: 2026/05/16
Saleh Medhat SZaghloul Abdelfatah RCarpio Mayra GómezPierini ClaudiaDe Palo PasqualeLandi Vincenzo - : Traditional breast cancer prognostic tools relying on clinical staging often miss molecular heterogeneity, leading to divergent patient outcomes. Extracellular matrix (ECM) remodeling, driven by the Matrix Metalloproteinase (MMP), ADAM, and ADAMTS enzyme families, is critical to tumor progression. This study evaluates whether integrating ECM protease transcript abundance with standard clinical variables improves survival prediction accuracy and personalized risk stratification. : Clinical and transcriptomic data from The Cancer Genome Atlas (TCGA) breast cancer cohort were analyzed. We integrated the protein-coding transcripts per million (pTPM) of top-ranked protease genes with standard clinical covariates (age, ordinal stage). Cox Proportional Hazards (CoxPH), penalized Cox (CoxNet), Random Survival Forest (RSF), and Gradient Boosting Survival (GBS) models were evaluated under a stratified 70/30 train-test split, followed by five-fold cross-validation. The locked final RSF model was then externally tested in METABRIC without retraining or risk-cutoff optimization. : Univariate screening identified ADAM15, MMP15, and ADAMTSL1 as global risk factors, whereas ADAMTS8 and MMP7 were protective. Prognostic signals were subtype-dependent. Integrated multivariable models outperformed transcript-only approaches in internal testing. The integrative RSF achieved the highest held-out discrimination (C-index = 0.797), outperforming a clinical-only Cox baseline trained on age and stage alone (C-index = 0.742, 95% CI 0.636-0.826). In METABRIC, the external C-index was 0.581 (95% CI 0.562-0.598), with significant survival separation across training-defined risk groups (log-rank < 0.0001). : ECM protease transcript profiles provide complementary prognostic information in TCGA-BRCA and show partial transportability to METABRIC. However, the modest external C-index indicates limited individual-level discrimination across platforms, so these candidate markers should be interpreted as hypothesis-generating and require further validation before clinical implementation. - Source: PubMed
Publication date: 2026/05/07
Babas RamiVynios Demitrios HKompothrekas AristotelisBoutsinas BasilisKaramanos Nikos - Early detection of gastric cancer (GC) and reliable risk stratification for metachronous gastric lesions (MGLs) remain societal and clinical challenges, particularly in intermediate risk populations. Non-invasive approaches such as saliva-based biomarkers could complement current strategies. The aim of this study was to identify and validate a tissue-based gene expression signature for early gastric lesions, explore its potential for MGL prediction, and assess its detectability in saliva. - Source: PubMed
Lopes CatarinaBrandão AndreiaVavoulis DimitrisPaulino SofiaCosta Joãode Sá Inês MarquesArcher SaraKüttner-Magalhães RicardoMarcos-Pinto RicardoLibânio DiogoDinis-Ribeiro MárioPereira Carina - Genetic variants affect baseline health and biomarker values, which in turn may impact both the therapy selected for an individual and the magnitude of change induced by the medication. Here, we propose an approach for complex longitudinal repeated measures biobank data, which separates genetic effects for disease from the genetic effects for medication usage and those for treatment response. For 211,845 individuals, we construct a pre-post study design from 1,420,443 repeated blood pressure (BP) measurements and 1,117,900 prescription records for common BP influencing drugs, using electronic health records. We model these jointly alongside 8,430,446 imputed single nucleotide polymorphism (SNP) markers and 17,852 whole-exome sequence loss-of-function (LoF) variants, all within a single novel graphical modeling framework. We identify pharmacogenetic candidate SNPs and LoF variants in genes , and , which are associated with angiotensin receptor blocker therapy and response after controlling for hypertensive disease status across multiple worldwide biobanks. We additionally detect and replicate established clinically relevant variants for statin treatment across multiple biobanks. We find that genetic variation for BP is predominantly shaped prior to the age of 50, but we identify 127 independent loci associated with age-specific BP changes later in life. Finally, once post-treatment measures are conditioned on pre-treatment measures and therapy, we find evidence for four independent loci influencing BP treatment response, including a variant in which has previously been associated with diuretic and beta-blocker response. Our graphical modeling and pre-post study design provides a robust way of detecting time-, treatment- and treatment response-specific genetic associations within large-scale biobank studies. - Source: PubMed
Publication date: 2026/03/20
Borczyk MalgorzataMachnik NickHajto JacekKrätschmer IlseKonowalska PaulaBaszkiewicz BartoszKorostynski MichalRobinson Matthew R