Associated Papers
DyVarMap: Integrating Conformational Dynamics and Interpretable Machine Learning for Cancer-Associated Missense Variant Classification in FGFR2.
Lian Y et al.
Bioengineering (basel, Switzerland), 2026
Saturation mutagenesis identifies activating and resistance-inducing FGFR kinase domain mutations.
Tangermann C et al.
Nature Genetics, 2026
41361008 (PubMed )
Supplement: 41588_2025_2431_MOESM5_ESM.xlsx › Figure_2e
Oncogenic activation revealed by FGFR2 genetic alterations in intrahepatic cholangiocarcinomas.
Pu X et al.
Cell & Bioscience, 2023
37964396 (PubMed )
Supplement: 13578_2023_1156_MOESM8_ESM.xls › Sheet1
Truncated FGFR2 is a clinically actionable oncogene in multiple cancers.
Zingg D et al.
Nature, 2022
35948633 (PubMed )
Supplement: 41586_2022_5066_MOESM16_ESM.xlsx › ED_Fig._2a
The clinical significance of adenomatous polyposis coli (APC) and catenin Beta 1 (CTNNB1) genetic aberrations in patients with melanoma.
Karachaliou GS et al.
Bmc Cancer, 2022
34986841 (PubMed )
Supplement: 12885_2021_8908_MOESM2_ESM.xlsx › APC_CTNNB1_wild_type
Comprehensive functional evaluation of variants of fibroblast growth factor receptor genes in cancer.
Nakamura IT et al.
Npj Precision Oncology, 2021
34272467 (PubMed )
Supplement: 41698_2021_204_MOESM3_ESM.xlsx › Supplementary_Data_1
Structure-functional prediction and analysis of cancer mutation effects in protein kinases.
Dixit A et al.
Computational and Mathematical Methods in Medicine, 2014
Loss-of-function fibroblast growth factor receptor-2 mutations in melanoma.
Gartside MG et al.
Molecular Cancer Research : Mcr, 2009
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