Abstract 2525: Low frequency TP53 mutations in airway epithelial cells serve as lung cancer risk biomarker

Author(s):  
Daniel J. Craig ◽  
Erin L. Crawford ◽  
Pierre P. Massion ◽  
Thomas Morrison ◽  
James C. Willey
BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Daniel J. Craig ◽  
Thomas Morrison ◽  
Sadik A. Khuder ◽  
Erin L. Crawford ◽  
Leihong Wu ◽  
...  

Abstract Background Standardized Nucleic Acid Quantification for SEQuencing (SNAQ-SEQ) is a novel method that utilizes synthetic DNA internal standards spiked into each sample prior to next generation sequencing (NGS) library preparation. This method was applied to analysis of normal appearing airway epithelial cells (AEC) obtained by bronchoscopy in an effort to define a somatic mutation field effect associated with lung cancer risk. There is a need for biomarkers that reliably detect those at highest lung cancer risk, thereby enabling more effective screening by annual low dose CT. The purpose of this study was to test the hypothesis that lung cancer risk is characterized by increased prevalence of low variant allele frequency (VAF) somatic mutations in lung cancer driver genes in AEC. Methods Synthetic DNA internal standards (IS) were prepared for 11 lung cancer driver genes and mixed with each AEC genomic (g) DNA specimen prior to competitive multiplex PCR amplicon NGS library preparation. A custom Perl script was developed to separate IS reads and respective specimen gDNA reads from each target into separate files for parallel variant frequency analysis. This approach identified nucleotide-specific sequencing error and enabled reliable detection of specimen mutations with VAF as low as 5 × 10− 4 (0.05%). This method was applied in a retrospective case-control study of AEC specimens collected by bronchoscopic brush biopsy from the normal airways of 19 subjects, including eleven lung cancer cases and eight non-cancer controls, and the association of lung cancer risk with AEC driver gene mutations was tested. Results TP53 mutations with 0.05–1.0% VAF were more prevalent (p < 0.05) and also enriched for tobacco smoke and age-associated mutation signatures in normal AEC from lung cancer cases compared to non-cancer controls matched for smoking and age. Further, PIK3CA and BRAF mutations in this VAF range were identified in AEC from cases but not controls. Conclusions Application of SNAQ-SEQ to measure mutations in the 0.05–1.0% VAF range enabled identification of an AEC somatic mutation field of injury associated with lung cancer risk. A biomarker comprising TP53, PIK3CA, and BRAF somatic mutations may better stratify individuals for optimal lung cancer screening and prevention outcomes.


2014 ◽  
Vol 133 (12) ◽  
pp. 1467-1476 ◽  
Author(s):  
Xuting Wang ◽  
Gary S. Pittman ◽  
Omari J. Bandele ◽  
Jason J. Bischof ◽  
Gang Liu ◽  
...  

2016 ◽  
Vol 48 (7) ◽  
pp. 537-543 ◽  
Author(s):  
Xiaolu Zhang ◽  
Erin L. Crawford ◽  
Thomas M. Blomquist ◽  
Sadik A. Khuder ◽  
Jiyoun Yeo ◽  
...  

Excision repair cross-complementation group 5 ( ERCC5) gene plays an important role in nucleotide excision repair, and dysregulation of ERCC5 is associated with increased lung cancer risk. Haplotype and diplotype analyses were conducted in normal bronchial epithelial cells (NBEC) to better understand mechanisms responsible for interindividual variation in transcript abundance regulation of ERCC5. We determined genotypes at putative ERCC5 cis-regulatory SNPs ( cis-rSNP) rs751402 and rs2296147, and marker SNPs rs1047768 and rs17655. ERCC5 allele-specific transcript abundance was assessed by a recently developed targeted sequencing method. Syntenic relationships among alleles at rs751402, rs2296147, and rs1047768 were assessed by allele-specific PCR followed by Sanger sequencing. We then assessed association of ERCC5 allele-specific expression at rs1047768 with haplotype and diplotype structure at cis-rSNPs rs751402 and rs2296147. Genotype analysis revealed significantly ( P < 0.005) higher interindividual variation in allelic ratios in cDNA samples relative to matched gDNA samples at both rs1047768 and rs17655. By diplotype analysis, mean expression was higher at the rs1047768 alleles syntenic with rs2296147 T allele compared with rs2296147 C allele. Furthermore, mean expression was lower at rs17655 C allele, which is syntenic with G allele at a linked SNP rs873601 ( D′ = 0.95). These data support the conclusions that in NBEC, T allele at SNP rs2296147 upregulates ERCC5, variation at rs751402 does not alter ERCC5 regulation, and that C allele at SNP rs17655 downregulates ERCC5. Variation in ERCC5 transcript abundance associated with allelic variation at these SNPs could result in variation in NER function in NBEC and lung cancer risk.


BMC Cancer ◽  
2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Jiyoun Yeo ◽  
Erin L. Crawford ◽  
Xiaolu Zhang ◽  
Sadik Khuder ◽  
Tian Chen ◽  
...  

2020 ◽  
Author(s):  
Daniel J. Craig ◽  
Thomas Morrison ◽  
Sadik Khuder ◽  
Erin L. Crawford ◽  
Leihong Wu ◽  
...  

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