{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Nakachi I"],"funding":["NHLBI NIH HHS","NCI NIH HHS"],"pagination":["255-65"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC3926809"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["7(2)"],"pubmed_abstract":["Chromosomal instability is central to the process of carcinogenesis. The genome-wide detection of somatic chromosomal alterations (SCA) in small premalignant lesions remains challenging because sample heterogeneity dilutes the aberrant cell information. To overcome this hurdle, we focused on the B allele frequency data from single-nucleotide polymorphism microarrays (SNP arrays). The difference of allelic fractions between paired tumor and normal samples from the same patient (delta-θ) provides a simple but sensitive detection of SCA in the affected tissue. We applied the delta-θ approach to small, heterogeneous clinical specimens, including endobronchial biopsies and brushings. Regions identified by delta-θ were validated by FISH and quantitative PCR in heterogeneous samples. Distinctive "],"journal":["Cancer prevention research (Philadelphia, Pa.)"],"pubmed_title":["Application of SNP microarrays to the genome-wide analysis of chromosomal instability in premalignant airway lesions."],"pmcid":["PMC3926809"],"funding_grant_id":["P50 CA058187","P30 CA046934","R21 HL094927","R01 CA164780"],"pubmed_authors":["Gao B","Merrick DT","Miller YE","Rice JL","Varella-Garcia M","Lewis MT","Franklin WA","Glidewell SC","Edwards MG","Stearman RS","Nakachi I","Geraci MW","Coldren CD","Keith RL"],"additional_accession":[]},"is_claimable":false,"name":"Application of SNP microarrays to the genome-wide analysis of chromosomal instability in premalignant airway lesions.","description":"Chromosomal instability is central to the process of carcinogenesis. The genome-wide detection of somatic chromosomal alterations (SCA) in small premalignant lesions remains challenging because sample heterogeneity dilutes the aberrant cell information. To overcome this hurdle, we focused on the B allele frequency data from single-nucleotide polymorphism microarrays (SNP arrays). The difference of allelic fractions between paired tumor and normal samples from the same patient (delta-θ) provides a simple but sensitive detection of SCA in the affected tissue. We applied the delta-θ approach to small, heterogeneous clinical specimens, including endobronchial biopsies and brushings. Regions identified by delta-θ were validated by FISH and quantitative PCR in heterogeneous samples. Distinctive ","dates":{"release":"2014-01-01T00:00:00Z","publication":"2014 Feb","modification":"2026-05-04T08:14:08.482Z","creation":"2026-04-07T20:15:11.933Z"},"accession":"S-EPMC3926809","cross_references":{"pubmed":["24346345"],"doi":["10.1158/1940-6207.capr-12-0485","10.1158/1940-6207.CAPR-12-0485"]}}