Complete chloroplast genome sequence of Populus pruinosa Schrenk from PacBio Sequel II Platform

Populus pruinosa Schrenk plays an important role on ecological services in desert areas. The complete chloroplast genome was reported in this study using the PacBio Sequel II Platform. The chloroplast genome with a total size of 157,856 bp consists of two inverted repeats (IR, 27,673 bp) separated by a large single-copy region (LSC, 85,867 bp) and a small single-copy region (SSC, 16,645 bp). Further annotation revealed the chloroplast genome contains 111 genes, including 78 protein-coding genes, 29 tRNA genes, and 4 rRNA genes. A total of 151 simple sequence repeats (SSRs) were identified in the chloroplast genome. This information will be useful for study on the evolution and genetic diversity of P. pruinosa in the future

Association of microRNA-33a Molecular Signature with Non-Small Cell Lung Cancer Diagnosis and Prognosis after Chemotherapy.

ObjectiveThis study aims to explore the expression pattern and prognostic significance of miR-33a in non-small cell lung cancer (NSCLC) treated with adjuvant chemotherapy.MethodsMiR-33aexpression in NSCLC was analyzed in silico using the GEO database and was subsequently confirmed by quantitative RT-PCR in 147 NSCLC biopsies. Among these, 32 of these biopsies were paired with adjacent non-neoplastic tissues. The survival analysis of NSCLC by Kaplan-Meier estimates was stratified based on miR-33a expression. In addition, multivariate survival analysis in corresponding groups of NSCLC patients was conducted by Cox proportional hazards regression model.ResultsThe in silico analysis of miR-33a expression in NSCLC resulted to its down-regulation in different tumor types. The expression level of miR-33a was lower in each grade of NSCLC tumor biopsies than in normal lung tissues. Univariate and multivariate survival analysis further established that low miR-33a expression was an important risk factor for overall survival and disease free survival in NSCLC patients.ConclusionOur study implied that miR-33a expression levels may have an essential role in NSCLC progression, and could act as a specific and sensitive biomarker for NSCLC patients who have undergone adjuvant chemotherapy

Analysis of <i>miR-33a</i> expression from GEO datasets.

<p>A, Data from the GEO dataset (GSE59153) was clustered using MEV 4.7.1 software. B, Relative expression levels of <i>miR-33a</i> in different cancers <i>vs</i>. normal controls from the GEO dataset (GSE59153). C, Relative expression levels of <i>miR-33a</i> in NSCLC and adjacent normal tissues from patients with cancerous and non-cancerous lung diseases from the GEO dataset (GSE24709).</p

Cox regression model analysis for prognosis based on various clinical characteristics of NSCLC patients.

<p>Cox regression model analysis for prognosis based on various clinical characteristics of NSCLC patients.</p

Analysis of <i>miR-33a</i> expression from GEO datasets.

<p>A, Data from the GEO dataset (GSE59153) was clustered using MEV 4.7.1 software. B, Relative expression levels of <i>miR-33a</i> in different cancers <i>vs</i>. normal controls from the GEO dataset (GSE59153). C, Relative expression levels of <i>miR-33a</i> in NSCLC and adjacent normal tissues from patients with cancerous and non-cancerous lung diseases from the GEO dataset (GSE24709).</p

Survival analysis of <i>miR-33a</i> expression and chemotherapy in NSCLCs.

<p>Univariate survival analysis of overall survival and disease-free survival in lung carcinoma as determined by Kaplan-Meier plots estimates based on chemotherapy (Negative <i>vs</i>. Positive) in (A) and (B), <i>miR-33a</i> expression (Low <i>vs</i>. High) in (C) and (D), and <i>miR-33a</i> expression and chemotherapy (non-chemotherapy and low miR-33a expression <i>vs</i>. chemotherapy and high miR-33a expression) in (E) and (F), respectively.</p

Univariate analysis of overall survival in NSCLC patients stratified based on clinical characteristics.

<p>Univariate analysis of overall survival in NSCLC patients stratified based on clinical characteristics.</p