Varaico: Literature-Extracted Genetic Variants

Gene:TP53
Variant:p.N239K
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TP53

NM_000546.6:p.N239K

Associated Papers

TP53 mutation heterogeneity reveals distinct prognoses in mantle cell lymphoma.

Liu S et al.

Annals of Hematology, 2026

41559357 (PubMed )
Supplement: 277_2026_6771_MOESM2_ESM.xlsx › TableS3

Identification of high-risk signatures and therapeutic targets through molecular characterization and immune profiling of TP53-mutant breast cancer.

Paulino PJIV et al.

Journal, Genetic Engineering & Biotechnology, 2025

41386839 (PubMed )
Supplement: mmc5.xlsx › Table_S3

High-throughput evaluation of genetic variants with prime editing sensor libraries.

Gould SI et al.

Nature Biotechnology, 2025

TP53 variant clusters stratify phenotypic diversity in germline carriers and reveal an osteosarcoma-prone subgroup.

Fischer NW et al.

Nature Communications, 2025

41022739 (PubMed )
Supplement: 41467_2025_63528_MOESM4_ESM.xlsx › S_Table_1__maxwell_dataset_

Circulating tumor DNA profiling for non-invasive genomic analysis in Indian lung cancer patients: A real-world experience.

Jha P et al.

The Journal of Liquid Biopsy, 2025

40503459 (PubMed )
Supplement: mmc1.xlsx › Supplementary_Table_S2

Deep CRISPR mutagenesis characterizes the functional diversity of TP53 mutations.

Funk JS et al.

Nature Genetics, 2025

39774325 (PubMed )
Supplement: 41588_2024_2039_MOESM5_ESM.xlsx › SuppFig6

Li-Fraumeni-associated osteosarcomas: The French experience.

Saucier E et al.

Pediatric Blood & Cancer, 2024

Identification of genetic subtypes in follicular lymphoma.

Shelton V et al.

Blood Cancer Journal, 2024

39112453 (PubMed )
Supplement: 41408_2024_1111_MOESM2_ESM.xlsx › ST5_-_mutations

Scalable approaches for generating, validating and incorporating data from high-throughput functional assays to improve clinical variant classification.

Padigepati SR et al.

Human Genetics, 2024

39085601 (PubMed )
Supplement: 439_2024_2691_MOESM2_ESM.xlsx › TP53

Comprehensive classification of TP53 somatic missense variants based on their impact on p53 structural stability.

Tam B et al.

Briefings in Bioinformatics, 2024

39140857 (PubMed )
Supplement: table_s1_bbae400.xlsx › Sheet1

Mutations in the TP53, VEGFA, and CTH Genes as Key Molecular Markers for the Diagnosis of Glioblastoma.

Khalil SS et al.

Cureus, 2024

Protocol optimization of a targeted sequencing panel for genomic profiling of bronchoalveolar lavage fluid in lung cancer.

Sather CL et al.

Cancer Medicine, 2023

37587851 (PubMed )
Supplement: CAM4-12-17632-s002.xlsx › S5.LowCoverageVariantsExpPanel

Onychomatricoma: a clinicopathological, immunohistochemical, and molecular study of 10 cases highlighting recurrent RB1 deletion and the potential diagnostic value of LEF-1.

Perrin C et al.

Histopathology, 2023

The Broad Spectrum of TP53 Mutations in CLL: Evidence of Multiclonality and Novel Mutation Hotspots.

Lazarian G et al.

Human Mutation, 2023

40225169 (PubMed )
Supplement: 4880113.f1.zip › table_S3.xlsx › table_S3

Genotype-phenotype associations within the Li-Fraumeni spectrum: a report from the German Registry.

Penkert J et al.

Journal of Hematology & Oncology, 2022

35974385 (PubMed )
Supplement: 13045_2022_1332_MOESM1_ESM.xlsx › Data

Landscape of somatic alterations in large-scale solid tumors from an Asian population.

Wu L et al.

Nature Communications, 2022

35871175 (PubMed )
Supplement: 41467_2022_31780_MOESM6_ESM.xlsx › Supplementary_Data_4

Upfront Next Generation Sequencing in Non-Small Cell Lung Cancer.

Kuang S et al.

Current Oncology (toronto, Ont.), 2022

35877212 (PubMed )
Supplement: curroncol-29-00352-s001.zip › LUNGS1_16_june_2022_supplemental_2_variants_no_code.pdf

Analysis of single-nucleotide polymorphisms in genes associated with triple-negative breast cancer.

G V et al.

Frontiers in Genetics, 2022

36561320 (PubMed )
Supplement: Table2.xlsx › TP53

Pathogenic genetic variants from highly connected cancer susceptibility genes confer the loss of structural stability.

Reza MN et al.

Scientific Reports, 2021

34584144 (PubMed )
Supplement: 41598_2021_98547_MOESM1_ESM.zip › Supplementary_files-5-8-21 › Supplementary_file_15.xlsx › Sheet1

TP53 germline mutations in the context of families with hereditary breast and ovarian cancer: a clinical challenge.

Grill S et al.

Archives of Gynecology and Obstetrics, 2021

Phase and context shape the function of composite oncogenic mutations.

Gorelick AN et al.

Nature, 2020

32461694 (PubMed )
Supplement: NIHMS1582596-supplement-1582596_Supp_Tab1-5.xlsx › Table_S2._Composite_mutations

From uncertainty to pathogenicity: clinical and functional interrogation of a rare TP53 in-frame deletion.

Quinn EA et al.

Cold Spring Harbor Molecular Case Studies, 2019

30886117 (PubMed )
Supplement: supp_mcs.a003921_Supplemental_Table_1a.xlsx › S_Table1a._TP53_in_ClinVar

Finding driver mutations in cancer: Elucidating the role of background mutational processes.

Brown AL et al.

Plos Computational Biology, 2019

31034466 (PubMed )
Supplement: pcbi.1006981.s010.xlsx › final_benchmark

Prevalence of Cancer at Baseline Screening in the National Cancer Institute Li-Fraumeni Syndrome Cohort.

Mai PL et al.

Jama Oncology, 2017

Germ-line and somatic EPHA2 coding variants in lens aging and cataract.

Bennett TM et al.

Plos One, 2017

29267365 (PubMed )
Supplement: pone.0189881.s007.xlsx › S7a._Clear__1__all

Structure-Based Analysis Reveals Cancer Missense Mutations Target Protein Interaction Interfaces.

Engin HB et al.

Plos One, 2016

27043210 (PubMed )
Supplement: pone.0152929.s003.xlsx › mut_effects_per_ppi

Structures of oncogenic, suppressor and rescued p53 core-domain variants: mechanisms of mutant p53 rescue.

Wallentine BD et al.

Acta Crystallographica. Section D, Biological Crystallography, 2013

Predicting the functional impact of protein mutations: application to cancer genomics.

Reva B et al.

Nucleic Acids Research, 2011

21727090 (PubMed )
Supplement: supp_gkr407_Supplement2_Table_SM1_COSMIC_mutations.xls › Sheet1

Epidemiology of doublet/multiplet mutations in lung cancers: evidence that a subset arises by chronocoordinate events.

Chen Z et al.

Plos One, 2008

19005564 (PubMed )
Supplement: pone.0003714.s009.xls › Table_s-6

Molecular genetic analysis of the TP53, PTEN, CDKN2A, EGFR, CDK4 and MDM2 tumour-associated genes in supratentorial primitive neuroectodermal tumours and glioblastomas of childhood.

Kraus JA et al.

Neuropathology and Applied Neurobiology, 2002

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