Varaico: Literature-Extracted Genetic Variants

Gene:FAT1
Variant:p.R2567H
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FAT1

NM_005245.4:p.R2567H

Associated Papers

Combining germline, tissue and liquid biopsy analysis by comprehensive genomic profiling to improve the yield of actionable variants in a real-world cancer cohort.

Vanni I et al.

Journal of Translational Medicine, 2024

38750555 (PubMed )
Supplement: 12967_2024_5227_MOESM14_ESM.xlsx › S14

Establishment and Thorough Characterization of Xenograft (PDX) Models Derived from Patients with Pancreatic Cancer for Molecular Analyses and Chemosensitivity Testing.

Behrens D et al.

Cancers, 2023

38136299 (PubMed )
Supplement: cancers-15-05753-s001.zip › Behrens_Cancers2023_SuppTables.xlsx › Table_S1

Clinically relevant glioblastoma patient-derived xenograft models to guide drug development and identify molecular signatures.

Alcaniz J et al.

Frontiers in Oncology, 2023

37114125 (PubMed )
Supplement: Table_1.xlsx › Mutations

Genomic Signature of Oral Squamous Cell Carcinomas from Non-Smoking Non-Drinking Patients.

Koo K et al.

Cancers, 2021

33804510 (PubMed )
Supplement: cancers-13-01029-s001.zip › Supplementary_Data.xlsx › Somatic_mutations

Comprehensive Genomic Profiling of Patient-matched Head and Neck Cancer Cells: A Preclinical Pipeline for Metastatic and Recurrent Disease.

Nisa L et al.

Molecular Cancer Research : Mcr, 2018

Genomic and Transcriptomic Characterization Links Cell Lines with Aggressive Head and Neck Cancers.

Cheng H et al.

Cell Reports, 2018

30380422 (PubMed )
Supplement: NIHMS1511993-supplement-7.xlsx › Table_S6A

iPSC modeling of severe aplastic anemia reveals impaired differentiation and telomere shortening in blood progenitors.

Melguizo-Sanchis D et al.

Cell Death & Disease, 2018

29374141 (PubMed )
Supplement: 41419_2017_141_MOESM8_ESM.xlsx › SAA2_Deleterious_Hits

Multi-dimensional genomic analysis of myoepithelial carcinoma identifies prevalent oncogenic gene fusions.

Dalin MG et al.

Nature Communications, 2017

29084941 (PubMed )
Supplement: 41467_2017_1178_MOESM5_ESM.xlsx › Mutations_cohort_2
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