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• Genome Dynamics in the Immune system lab-imagine

  Dac EGAC00001001254

• DAC the Tel-Aviv Medical Center Neurosurgery dept

  Dac EGAC00001002176

• DAC Genetic variability in the glucocorticoid receptor NR3C1

  Dac EGAC00001002382

• The Solomon Islands: Human Origins array genotype data

  Dac EGAC00001002588

• The Swedish Childhood Tumor Biobank DAC

  Dac EGAC50000000095

• Hi-C on the OCIAML-2 Cell Line

  Study EGAS00001004743

• Age_Validation

  Rounded chronological age of the participants

  Dataset EGAD00010002753

• Age_TrainTest

  Rounded chronological age of the participants

  Dataset EGAD00010002755

• Predictive value of genomic, transcriptomic and epigenetic biomarkers in patients with recurrent and/or metastatic HNSC treated with PD-1/PD-L1 inhibitors

  Immune checkpoint inhibitors have improved survival in several solid tumors, including head and neck squamous cell carcinoma (HNSCC). However, current use of PD-1/PD-L1 inhibitors relies on PD-L1 expression, which does not reliably predict patient response. Therefore, better predictive biomarkers are needed to identify which patients benefit from immunotherapy. Previous studies suggest that genomic and transcriptomic features may help predict treatment response. This study aims to integrate genomic, transcriptomic, and methylomic data from 31 patients with recurrent/metastatic HNSCC to identify new biomarkers of resistance to anti-PD-1/PD-L1 therapy.

  Study EGAS50000001746

• Genetic Variation and Signatures of Natural Selection in Diverse Africans

  Our study identified candidate regions of genome involved in adaptation and identified regions associated with selected phenotypes.

  Study phs000449