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Objective To explore the risk factors for vascular invasion and its influence on prognosis of resectable gastric cancer patients by analyzing the clinicopathological features. Methods We retrospectively analyzed the data of 1077 patients with stage Ⅰ-Ⅲ gastric cancer who underwent surgical resection. According to whether vascular invasion occurred, they were divided into LVI positive group (n=672) and LVI negative group (n=405). Logistic univariate and multivariate analyses were used for the relation between clinical pathological features and LVI. Survival analysis was used to study the relation between vascular invasion and survival rate in patients with stage Ⅰ gastric cancer. Results Univariate analysis showed that tumor size, type of differentiation, depth of invasion, lymph node metastasis, TNM stage, Lauren classification, nerve invasion and the increase of CEA, CA125 and CA199 were risk factors for vascular invasion (P < 0.05). Multivariate analysis showed that poor differentiation, deep invasion, lymph node metastasis, nerve invasion and elevated CA724 were independent risk factors for vascular invasion. The 5-year survival rate of stage Ⅰ gastric cancer patients with vascular invasion was significantly lower than that without vascular invasion (P < 0.01). Conclusion Gastric cancer patients with poor differentiation, deep invasion, lymph node metastasis, nerve invasion and elevated CA724 are more prone to vascular invasion. Patients with stage I gastric cancer at risk of vascular invasion should be treated more aggressively.

Mechanization is the inevitable future of tea harvesting, but its impact on tea chemistry and quality remains uncertain. Our study examines untargeted metabolomic data from 185 oolong tea products (Tieguanyin) made from leaves harvested by hand or machine based on UPLC-QToF-MS analysis. The data revealed a minimum 50% loss for over half of the chemicals in the machine-harvested group, including catechins, theaflavin, gallic acid, chlorogenic acid, and kaempferol-3-gluocside. Integrating sensory evaluation, OPLS-DA identified the six most important metabolites as significant contributors to sensory decline caused by harvesting mechanization. Furthermore, our research validates the possibility of using DD-SIMCA modelling with untargeted metabolomic data for distinguishing handpicked from machine-harvested tea products. The model was able to achieve 93% accuracy. This study provides crucial insights into the chemical and sensory shifts during mechanization, along with tools to manage and monitor these changes. [ABSTRACT FROM AUTHOR]

Camellia seed oil is a top-end quality of cooking oil in China. The oil quality and quantity are formed during seed maturation and desiccation. So far, it remains largely unresolved whether lipid degradation occurs and contributes to Camellia oil traits. In this study, three different Camellia germplasms, C. oleifera cv. Min 43 (M43), C. meiocarpa var. Qingguo (QG), and C. meiocarpa cv Hongguo (HG) were selected, their seed oil contents and compositions were quantified across different stages of seed desiccation. We found that at the late stage of desiccation, M43 and QG lost a significant portion of seed oil, while such an event was not observed in HG. To explore the molecular bases for the oil loss In M43, the transcriptomic profiling of M43 and HG was performed at the early and the late seed desiccation, respectively, and differentially expressed genes (DEGs) from the lipid metabolic pathway were identified and analyzed. Our data demonstrated that different Camellia species have diverse mechanisms to regulate seed oil accumulation and degradation, and that triacylglycerol-to-terpenoid conversion could account for the oil loss in M43 during late seed desiccation. [ABSTRACT FROM AUTHOR]

Aroma is one of the key sensory attributes of tea. Quantitative volatile measurement is essential but technically challenging. Sample extraction is the first critical step for quantification. However, volatile extraction method has not been systematically optimized. The goal of this research was to establish a quantitative volatile measurement method in tea. For this end, solvent‐assisted flavour evaporation method was used; the effects of the numbers of extraction, stirring, sample amounts, solid–liquid ratios and postharvest treatments on volatile isolation were compared. We demonstrated that stirring did not improve total volatile recovery; the number of volatiles detected was positively correlated with sample amounts and the solid–liquid ratio, excess sample amounts compromised the quantification accuracy of abundant volatiles; cryopreservation largely preserved the volatile contents and composition of fresh tea leaves. Based on these findings, volatile extraction method was optimized. The volatile compounds were qualitatively and quantitatively analysed by GC‐MS and GC‐FID, respectively; the FID relative response factor for individual volatile was calculated to calibrate individual peak area of tea volatile. By integrating these techniques, a quantitative volatile measurement method was established. As a proof of concept, the described method was applied to investigate the seasonal effects on fresh tea leaf volatile. The described method should also be applicable to other horticultural crop species. [ABSTRACT FROM AUTHOR]

Tea (Camellia sinensis) is enriched with bioactive secondary metabolites, and is one of the most popular nonalcoholic beverages globally. Two tea reference genomes have been reported; however, the functional analysis of tea genes has lagged, mainly due to tea's recalcitrance to genetic transformation and the absence of alternative high throughput heterologous expression systems. A full-length cDNA collection with a streamlined cloning system is needed in this economically important woody crop species. RNAs were isolated from nine different vegetative tea tissues, pooled, then used to construct a normalized full-length cDNA library. The titer of unamplified and amplified cDNA library was 6.89 × 106 and 1.8 × 1010 cfu/mL, respectively; the library recombinant rate was 87.2%. Preliminary characterization demonstrated that this collection can complement existing tea reference genomes and facilitate rare gene discovery. In addition, to streamline tea cDNA cloning and functional analysis, a binary vector (pBIG2113SF) was reengineered, seven tea cDNAs isolated from this library were successfully cloned into this vector, then transformed into Arabidopsis. One FL-cDNA, which encodes a putative P1B-type ATPase 5 (CsHMA5), was characterized further as a proof of concept. We demonstrated that overexpression of CsHMA5 in Arabidopsis resulted in copper hyposensitivity. Thus, our data demonstrated that this represents an efficient system for rare gene discovery and functional characterization of tea genes. The integration of a tea FL-cDNA collection with efficient cloning and a heterologous expression system would facilitate functional annotation and characterization of tea genes. [ABSTRACT FROM AUTHOR]