Varaico: Literature-Extracted Genetic Variants

Gene:PIK3CA
Variant:p.R349Q
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PIK3CA

NM_006218.4:p.R349Q

Associated Papers

Predictive Molecular Biomarkers of Bladder Cancer Identified by Next-Generation Sequencing-Preliminary Data.

Myszka A et al.

Journal of Clinical Medicine, 2024

Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort.

Pipek O et al.

International Journal of Molecular Sciences, 2023

37239898 (PubMed )
Supplement: ijms-24-08553-s001.zip › Supp_Fig_1_new.pdf

High prevalence of somatic PIK3CA and TP53 pathogenic variants in the normal mammary gland tissue of sporadic breast cancer patients revealed by duplex sequencing.

Kostecka A et al.

Npj Breast Cancer, 2022

35768433 (PubMed )
Supplement: 41523_2022_443_MOESM9_ESM.xlsx › DuplexSeq_all

Development and validation of a multigene variant profiling assay to guide targeted and immuno therapy selection in solid tumors.

Akolkar D et al.

Plos One, 2021

33556149 (PubMed )
Supplement: pone.0246048.s008.xlsx › Sheet1

Plasma Circulating Tumor DNA Sequencing Predicts Minimal Residual Disease in Resectable Esophageal Squamous Cell Carcinoma.

Liu T et al.

Frontiers in Oncology, 2021

34094900 (PubMed )
Supplement: DataSheet_1.xlsx › Table_S6

Mutational concordance between primary and metastatic melanoma: a next-generation sequencing approach.

Manca A et al.

Journal of Translational Medicine, 2019

31455347 (PubMed )
Supplement: 12967_2019_2039_MOESM1_ESM.xlsx › Discovery_cohort_nsyn_variants

Comparison of TCGA and GENIE genomic datasets for the detection of clinically actionable alterations in breast cancer.

Kaur P et al.

Scientific Reports, 2019

30728399 (PubMed )
Supplement: 41598_2018_37574_MOESM1_ESM.pdf
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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."