ArticleCancer biomarkers : section A of Disease markers2018
TP53 p.R72P genotype is a marker of poor prognosis in lung cancer.
Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed, 10 citations in OpenAlex.
- Correlation analysis of clinical, pathological, imaging and genetic features of ground-glass nodule featured lung adenocarcinomas between high-risk and non-high-risk individuals.European journal of medical research · 2023Article
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8 authors at 4 institutions in 1 country.
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Abstract
backgroundLung cancer is a leading cause of death worldwide, with poor survival rates despite diagnostic and therapeutic advances. Markers are needed in order to improve clinical patient management and survival. TP53 is frequently involved in lung cancer development with polymorphic sites potentially having a role in it. This study aims to determine the value of codon 72 missense polymorphic variant genotyping, TP53 R72P, as a prognostic factor in NSCLC patients.
methodsOne hundred and fifteen NSCLC samples from patients exposed to tobacco smoke and silica dust from Asturias (Northern Spain) were genotyped by direct sequencing.
resultsSeventy-five percent tumour samples alleles coded for Arg. The R72P genotype was an independent predictor of lymph node status (HR = 3.6). The heterozygous genotype was associated to a reduced 5-year survival rate (28% vs 51% for homozygotes). Importantly, this result was specifically observed in these subsets of patients: those over 67 years, patients with silicosis, current smokers, patients with squamous cell carcinomas and, notably, with tumour free lymph nodes.
conclusionOur results indicate a remarkable application of R72P genotyping in the clinical setting: refine patient subclassification to identify those with an adverse clinical course despite tumour free lymph node status.
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