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1.
Theranostics ; 9(7): 2056-2070, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31037156

RESUMO

Rational: LDCT screening can identify early-stage lung cancers yet introduces excessive false positives and it remains a great challenge to differentiate malignant tumors from benign solitary pulmonary nodules, which calls for better non-invasive diagnostic tools. Methods: We performed DNA methylation profiling by high throughput DNA bisulfite sequencing in tissue samples (nodule size < 3 cm in diameter) to learn methylation patterns that differentiate cancerous tumors from benign lesions. Then we filtered out methylation patterns exhibiting high background in circulating tumor DNA (ctDNA) and built an assay for plasma sample classification. Results: We first performed methylation profiling of 230 tissue samples to learn cancer-specific methylation patterns which achieved a sensitivity of 92.7% (88.3% - 97.1%) and a specificity of 92.8% (89.3% - 96.3%). These tissue-derived DNA methylation markers were further filtered using a training set of 66 plasma samples and 9 markers were selected to build a diagnostic prediction model. From an independent validation set of additional 66 plasma samples, this model obtained a sensitivity of 79.5% (63.5% - 90.7%) and a specificity of 85.2% (66.3% - 95.8%) for differentiating patients with malignant tumor (n = 39) from patients with benign lesions (n = 27). Additionally, when tested on gender and age matched asymptomatic normal individuals (n = 118), our model achieved a specificity of 93.2% (89.0% - 98.3%). Specifically, our assay is highly sensitive towards early-stage lung cancer, with a sensitivity of 75.0% (55.0%-90.0%) in 20 stage Ia lung cancer patients and 85.7% (57.1%-100.0%) in 7 stage Ib lung cancer patients. Conclusions: We have developed a novel sensitive blood based non-invasive diagnostic assay for detecting early stage lung cancer as well as differentiating lung cancers from benign pulmonary nodules.


Assuntos
DNA Tumoral Circulante/genética , Metilação de DNA/genética , Neoplasias Pulmonares/diagnóstico , Neoplasias Pulmonares/genética , Adulto , Idoso , Biomarcadores Tumorais/genética , Detecção Precoce de Câncer/métodos , Feminino , Sequenciamento de Nucleotídeos em Larga Escala/métodos , Humanos , Masculino , Pessoa de Meia-Idade , Sensibilidade e Especificidade
2.
EBioMedicine ; 41: 345-356, 2019 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-30857943

RESUMO

BACKGROUND: Analysis of cell-free DNA (cfDNA) is promising for broad applications in clinical settings, but with significant bias towards late-stage cancers. Although recent studies have discussed the diverse and degraded nature of cfDNA molecules, little is known about its impact on the practice of cfDNA analysis. METHODS: We developed single-strand library preparation and hybrid-capture-based cfDNA sequencing (SLHC-seq) to analysis degraded cfDNA fragments. Next we used SLHC-seq to perform cfDNA profiling in 112 pancreatic cancer patients, and the results were compared with 13 previous reports. Extensive analysis was performed in terms of cfDNA fragments to explore the reasons for higher detection rate of KRAS mutations in the circulation of pancreatic cancers. FINDINGS: By applying the new approach, we achieved higher efficiency in analysis of mutations than previously reported using other detection assays. 791 cancer-specific mutations were detected in plasma of 88% patients with KRAS hotspots detected in 70% of all patients. Only 8 mutations were detected in 28 healthy controls without any known oncogenic or truncating alleles. cfDNA profiling by SLHC-seq was largely consistent with results of tissue-based sequencing. SLHC-seq rescued short or damaged cfDNA fragments along to increase the sensitivity and accuracy of circulating-tumour DNA detection. INTERPRETATION: We found that the small mutant fragments are prevalent in early-stage patients, which provides strong evidence for fragment size-based detection of pancreatic cancer. The new pipeline enhanced our understanding of cfDNA biology and provide new insights for liquid biopsy.


Assuntos
Ácidos Nucleicos Livres/metabolismo , Neoplasias Pancreáticas/diagnóstico , Proteínas Proto-Oncogênicas p21(ras)/genética , Biomarcadores Tumorais/genética , Estudos de Casos e Controles , Ácidos Nucleicos Livres/química , Biblioteca Gênica , Humanos , Mutação , Estadiamento de Neoplasias , Neoplasias Pancreáticas/mortalidade , Neoplasias Pancreáticas/patologia , Análise de Sobrevida
3.
Plant Cell Physiol ; 60(1): 29-37, 2019 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-30169882

RESUMO

The plant pathogen Agrobacterium tumefaciens infects plants and introduces the transferred-DNA (T-DNA) region of the Ti-plasmid into nuclear DNA of host plants to induce the formation of tumors (crown galls). The T-DNA region carries iaaM and iaaH genes for synthesis of the plant hormone auxin, indole-3-acetic acid (IAA). It has been demonstrated that the iaaM gene encodes a tryptophan 2-monooxygenase which catalyzes the conversion of tryptophan to indole-3-acetamide (IAM), and the iaaH gene encodes an amidase for subsequent conversion of IAM to IAA. In this article, we demonstrate that A. tumefaciens enhances the production of both IAA and phenylacetic acid (PAA), another auxin which does not show polar transport characteristics, in the formation of crown galls. Using liquid chromatography-tandem mass spectroscopy, we found that the endogenous levels of phenylacetamide (PAM) and PAA metabolites, as well as IAM and IAA metabolites, are remarkably increased in crown galls formed on the stem of tomato plants, implying that two distinct auxins are simultaneously synthesized via the IaaM-IaaH pathway. Moreover, we found that the induction of the iaaM gene dramatically elevated the levels of PAM, PAA and its metabolites, along with IAM, IAA and its metabolites, in Arabidopsis and barley. From these results, we conclude that A. tumefaciens enhances biosynthesis of two distinct auxins in the formation of crown galls.


Assuntos
Agrobacterium tumefaciens/metabolismo , Vias Biossintéticas , Ácidos Indolacéticos/metabolismo , Tumores de Planta/microbiologia , Arabidopsis/genética , Arabidopsis/microbiologia , Regulação da Expressão Gênica de Plantas , Hordeum/genética , Hordeum/metabolismo , Hordeum/microbiologia , Ácidos Indolacéticos/química , Solanum lycopersicum/metabolismo , Solanum lycopersicum/microbiologia , Metaboloma , Fenilacetatos/metabolismo , Proteínas de Plantas/metabolismo , Plantas Geneticamente Modificadas , Receptores de Superfície Celular/metabolismo
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