Varaico: Literature-Extracted Genetic Variants

Gene:KRAS
Variant:p.R68M
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KRAS

NM_004985.5:p.R68M

Associated Papers

Comprehensive structure-function analysis reveals gain- and loss-of-function mechanisms impacting oncogenic KRAS activity.

Kwon JJ et al.

Biorxiv : the Preprint Server for Biology, 2024

39484452 (PubMed )
Supplement: media-2.zip › Extended_Data_Tables › Extended_Data_Table_2.xlsx › TCGA_Germline_Somatic_coinciden

Abnormalities in the KRAS Gene and Treatment Options for NSCLC Patients with the G12C Mutation in This Gene-A Literature Review and Single-Center Experience.

Rekowska AK et al.

Biomedicines, 2024

Assessment of KRASG12C inhibitors for colorectal cancer.

Piazza GA et al.

Frontiers in Oncology, 2024

KRASG12C mutant lung adenocarcinoma: unique biology, novel therapies and new challenges.

Moldvay J et al.

Pathology Oncology Research : Por, 2023

Targeting KRASp.G12C Mutation in Advanced Non-Small Cell Lung Cancer: a New Era Has Begun.

Bungaro M et al.

Current Treatment Options in Oncology, 2022

Molecular Biology and Therapeutic Perspectives for K-Ras Mutant Non-Small Cell Lung Cancers.

Cekani E et al.

Cancers, 2022

Direct Targeting KRAS Mutation in Non-Small Cell Lung Cancer: Focus on Resistance.

Reita D et al.

Cancers, 2022

Utility of the Ba/F3 cell system for exploring on-target mechanisms of resistance to targeted therapies for lung cancer.

Koga T et al.

Cancer Science, 2022

Understanding the influence of AMG 510 on the structure of KRASG12C empowered by molecular dynamics simulation.

Li Y et al.

Computational and Structural Biotechnology Journal, 2022

How to manage KRAS G12C-mutated advanced non-small-cell lung cancer.

Ricciuti B et al.

Drugs in Context, 2022

Structural bioinformatics enhances mechanistic interpretation of genomic variation, demonstrated through the analyses of 935 distinct RAS family mutations.

Tripathi S et al.

Bioinformatics (oxford, England), 2021

33226070 (PubMed )
Supplement: btaa972_supplementary_data.zip › RAS_Manuscript_RMarkdown.tar.gz › RAS_Manuscript1.Revised › RAS_Variants_Scores.xlsx › Sheet1

LowMACA: exploiting protein family analysis for the identification of rare driver mutations in cancer.

Melloni GE et al.

Bmc Bioinformatics, 2016

26860319 (PubMed )
Supplement: 12859_2016_935_MOESM2_ESM.xlsx › Table_S5
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Regarding the variants extracted from papers and shown text snippets from research papers, the following holds: "Some rights reserved. This work permits non-commercial use, distribution and reproduction in any medium, provided the original author and source are credited."