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1.
Ann Oncol ; 27(5): 862-7, 2016 05.
Article in English | MEDLINE | ID: mdl-26823523

ABSTRACT

BACKGROUND: The aim of this pilot study was to assess whether both ubiquitous and heterogeneous somatic mutations could be detected in cell-free DNA (cfDNA) from patients with early-stage non-small-cell lung cancer (NSCLC). PATIENTS AND METHODS: Three stage I and one stage II primary NSCLC tumors were subjected to multiregion whole-exome sequencing (WES) and validated with AmpliSeq. A subset of ubiquitous and heterogeneous single-nucleotide variants (SNVs) were chosen. Multiplexed PCR using custom-designed primers, coupled with next-generation sequencing (mPCR-NGS), was used to detect these SNVs in both tumor DNA and cfDNA isolated from plasma obtained before surgical resection of the tumors. The limit of detection for each assay was determined using cfDNA from 48 presumed-normal healthy volunteers. RESULTS: Tumor DNA and plasma-derived cfDNA was successfully amplified and sequenced for 37/50 (74%) SNVs using the mPCR-NGS method. Twenty-five (68%) were ubiquitous and 12 (32%) were heterogeneous SNVs. Variant detection by mPCR-NGS and WES-AmpliSeq in tumor tissue was well correlated (R(2) = 0.8722, P < 0.0001). Sixteen (43%) out of 37 SNVs were detected in cfDNA. Twelve of these were ubiquitous SNVs with a variant allele frequency (VAF) range of 0.15-23.25%, and four of these were heterogeneous SNVs with a VAF range of 0.28-1.71%. There was a statistically significant linear relationship between the VAFs for tumor and cfDNA (R(2) = 0.5144; P = 0.0018). For all four patients, at least two variants were detected in plasma. The estimated number of copies of variant DNA present in each sample ranged from 5 to 524. The average number of variant copies required for detection (VCRD) was 3.16 (range: 0.2-7.6 copies). CONCLUSIONS: The mPCR-NGS method revealed intratumor heterogeneity in early-stage NSCLC tumors, and was able to detect both ubiquitous and heterogeneous SNVs in cfDNA. Further validation of mPCR-NGS in cfDNA is required to define its potential use in clinical practice.


Subject(s)
Carcinoma, Non-Small-Cell Lung/genetics , Cell-Free Nucleic Acids/genetics , DNA, Neoplasm/genetics , Exome Sequencing , Aged , Carcinoma, Non-Small-Cell Lung/blood , Carcinoma, Non-Small-Cell Lung/pathology , Cell-Free Nucleic Acids/blood , DNA, Neoplasm/blood , Female , Genetic Heterogeneity , Humans , Male , Middle Aged , Mutation , Neoplasm Staging , Polymorphism, Single Nucleotide/genetics
2.
Mol Biol Evol ; 27(5): 1058-69, 2010 May.
Article in English | MEDLINE | ID: mdl-20026484

ABSTRACT

PDZ domains are protein-protein interaction modules widely used to assemble membranous signaling complexes including those found in the neuronal synapse. PDZ-containing genes encoded in metazoan genomes vastly outnumber those in prokaryotes, plants, and fungi. By comparing 40 proteomes to track the evolutionary history of the PDZ domain, we observed that the variety of associations between PDZ and other domains expands greatly along the stem leading to metazoans and choanoflagellates. We asked whether the expansion of PDZ domains was due to random or specific sequence changes. Studying the sequence signatures of 58 PDZ lineages that are common to bilaterian animals, we showed that six common amino acid residues are able to classify 96% of PDZ domains to their correct evolutionary lineage. In PDZ domain-ligand cocrystals, four of these "classifying positions" lie in direct contact with the -1 and -3 residues of the ligand. This suggests coevolution of the more flexible regions of the binding interaction as a central mechanism of specialization inherent within the PDZ domain. To identify these positions, we devised two independent algorithms--a metric termed within-clade entropy (WCE) and an average mutual information (AvgMI) score--that both reached similar results. Extending these tools to the choanoflagellate, Monosiga brevicollis, we compared its PDZ domains with their putative metazoan orthologs. Interestingly, the M. brevicollis genes lack conservation at the classifying positions suggesting dissociation between domain organization in multidomain proteins and specific changes within the PDZ domain.


Subject(s)
Evolution, Molecular , PDZ Domains/genetics , Amino Acid Sequence , Amino Acids/genetics , Animals , Choanoflagellata/metabolism , Computer Simulation , Conserved Sequence , Entropy , Humans , Ligands , Models, Molecular , Molecular Sequence Data , Nerve Tissue Proteins/genetics , Protein Binding , Sequence Alignment
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