Transcriptomic and physiological analyses reveal different grape varieties response to high temperature stress.

High temperatures affect grape yield and quality. Grapes can develop thermotolerance under extreme temperature stress. However, little is known about the changes in transcription that occur because of high-temperature stress. The heat resistance indices and transcriptome data of five grape cultivars, 'Xinyu' (XY), 'Miguang' (MG), 'Summer Black' (XH), 'Beihong' (BH), and 'Flame seedless' (FL), were compared in this study to evaluate the similarities and differences between the regulatory genes and to understand the mechanisms of heat stress resistance differences. High temperatures caused varying degrees of damage in five grape cultivars, with substantial changes observed in gene expression patterns and enriched pathway responses between natural environmental conditions (35 °C ± 2 °C) and extreme high temperature stress (40 °C ± 2 °C). Genes belonging to the HSPs, HSFs, WRKYs, MYBs, and NACs transcription factor families, and those involved in auxin (IAA) signaling, abscisic acid (ABA) signaling, starch and sucrose pathways, and protein processing in the endoplasmic reticulum pathway, were found to be differentially regulated and may play important roles in the response of grape plants to high-temperature stress. In conclusion, the comparison of transcriptional changes among the five grape cultivars revealed a significant variability in the activation of key pathways that influence grape response to high temperatures. This enhances our understanding of the molecular mechanisms underlying grape response to high-temperature stress.

Development and validation of a predictive score for venous thromboembolism in newly diagnosed non-small cell lung cancer.

INTRODUCTION: The risk of venous thromboembolism (VTE) varies among tumour types, and different cancer type-specific risks for VTE prediction remain undefined. We aimed to establish a prediction model for non-small lung cancer (NSCLC)-associated VTE. MATERIALS AND METHODS: We analysed data from a prospective cohort of patients with newly diagnosed NSCLC. We then developed a VTE risk prediction model using data of patients who were recruited from 2013 to 2017 (n = 602, development cohort) and validated this model using date of patients recruited from 2018 to 2019 (n = 412, validation cohort). The cumulative 6 months VTE incidence observed in both cohorts was calculated. RESULTS: The parameters in this new model included Eastern Cooperative Oncology Group (ECOG) performance status ≥2 (1 point), EGFR mutation (-1 point), neutrophil count ≥7.5 × 109/L (2 points), hemoglobin <115 g/L (1 point), CEA ≥5.0 ng/mL (2 points), and D-dimer level ≥1400 ng/mL (4 points). The cross-validated concordance indices of the model in the development and validation cohorts were 0.779 and 0.853, respectively. Furthermore, the areas under the curve in the two cohorts were 0.7563 (95% confidence interval [CI]: 0.6856-0.8129, P < 0.001) and 0.8211 (95% CI: 0.7451-0.8765, P < 0.001) for development and validation cohorts, respectively. CONCLUSIONS: The new VTE risk prediction model incorporated patient characteristics, laboratory values, and oncogenic status, and was able to stratify patients at high risk of VTE in newly diagnosed NSCLC within 6 months of diagnosis.

The complete chloroplast genome sequence of Vitis vinifera × Vitis labrusca 'Shenhua'.

Vitis vinifera × Vitis labrusca 'Shenhua' is a tetraploid grape, a Franco-american species. This study first published the complete chloroplast genome of Vitis vinifera × Vitis labrusca 'Shenhua' was assembled. The chloroplast genome is 160928 bp in length, including a large single copy region (89,148 bp), a small single-copy region (19,072 bp) and a pair of inverted repeats of 26,354 bp. The chloroplast genome encodes 133 genes, comprising 88 CDSs, 37 tRNA genes and 8 rRNA genes. The phylogenetic tree demonstrated that Vitis vinifera × Vitis labrusca 'Shenhua' is different from the other 16 varieties.

Association of ALK rearrangement and risk of venous thromboembolism in patients with non-small cell lung cancer: A prospective cohort study.

BACKGROUND: Isolated reports are inconsistent regarding the risk of venous thromboembolism (VTE) in patients with anaplastic lymphoma kinase (ALK) rearranged non-small cell lung cancer (NSCLC). This study examined whether ALK rearrangement could have an influence on VTE in a prospective cohort. METHODS: In a cohort of 836 consecutive patients with NSCLC, patients with epidermal growth factor receptor (EGFR) or kitten rat sarcoma (KRAS) mutations were ruled out for VTE interference. Finally, 341 qualified patients were observed. The median follow up period is 7.5 months (3.1-15.4m). ALK rearrangement was detected by fluorescence in situ hybridization at baseline. RESULTS: Overall VTE events occurred in 37 (10.9%) of 341 patients. In multivariable analysis including age, sex, tumor histology, tumor stage, performance status, and ALK status, ALK rearrangement (sub-distribution hazard radio 2.47, 95% confidence interval 1.04-5.90) was associated with the increased risk of VTE. The cumulative incidence of VTE was 26.9% and 9.2% in the patients with and without ALK rearrangement after 6 months. After 1 year the corresponding cumulative incidence was 26.9% and 9.7% respectively (Gray test P = .005). CONCLUSIONS: The presence of ALK rearrangement is associated with increased risk of VTE in patients with NSCLC.

Association between oncogenic status and risk of venous thromboembolism in patients with non-small cell lung cancer.

BACKGROUND: Preclinical data suggest that oncogene (EGFR and KRAS) events regulate tumor procoagulant activity. However, few studies have prospectively investigated the clinical relevance between the presence of EGFR or KRAS mutations and occurrence of venous thromboembolism(VTE) in patients with non-small cell lung cancer (NSCLC). METHODS: A total of 605 Chinese patients with newly diagnosed NSCLC were included and were followed for a maximum period of 4.5 years. EGFR and KRAS mutations were determined by amplification refractory mutation system polymerase chain reaction method at inclusion. The main outcome was objectively confirmed VTE. RESULTS: Of the 605 patients, 40.3% (244) had EGFR mutations and 10.2% (62) of patients had KRAS mutations. In multivariable analysis including age, sex, tumor histology, tumor stage, performance status, EGFR and KRAS status, EGFR wild-type (sub-distribution hazard ratio 1.81, 95% confidence interval 1.07-3.07) were associated with the increased risk of VTE. In competing risk analysis, the probability of developing VTE was 8.3% in those with and 13.2% in those without EGFR mutations after 1 year; after 2 years, the corresponding risks were 9.7 and 15.5% (Gray test P = 0.047). CONCLUSIONS: EGFR mutations have a negative association with the risk of VTE in Chinese patients with NSCLC.

[A technique for the vein extraction from the susceptibility weighted imaging of the brain].

This paper studies the vein extraction technique based on the susceptibility weighted imaging (SWI) and introduced an improved self-adaptive threshold method based on the vessel enhancing diffusion. The approach employs the combination indicator of the local gray character, the global gray character and the tubular information of the vein. It first applies the vessel enhancing diffusion filter to enhance the continuity of the vein, increases the detection rate of tiny vein and suppresses the nucleus areas. And then it uses the improved self-adaptive threshold method to extract the vein. The results demonstrate that this approach can solve the problem above and extract the vein from the SWI image accurately.