Impacts of road on plant invasions in the Middle Mountain region of central Nepal

Biological invasion is triggered by human development activities such as the construction and expansion of road networks.Road verges serve as important habitats and corridors for the distribution of invasive alien plant species(IAPS)between geographically distant habitats.However,the trajectory of plant invasion and the data regarding the impact of roads on IAPS distribution are relatively poor in Nepal.Here,we surveyed two road types(main roads and feeder road)in the Middle Mountain region of central Nepal in order to investigate how different road types are driving the dispersal of IAPS along road verges and the adjacent natural habitats.Systematic sampling was conducted at ca 2.5 km intervals along the roads.At each sampling site,paired plots(25 m×4 m)were sampled:one adjacent to and along the road,and another 20 m away and parallel to it in the interior habitat.Our results revealed that the main road verges had a higher cover(33%)and a larger number of IAPS(14 species)than the feeder road(25%;10 species).The IAPS cover and richness were significantly higher along verges than in the adjacent interior habitats for both road types,indicating that roads are contributing as corridors for the dispersal of IAPS in the Middle Mountain areas of central Nepal.Further,elevation,tree canopy,and disturbances(grazing/mowing/trampling)were found to be the key factors that determine spatial distribution of IAPS along road verges.We emphasize that regular monitoring of vegetation along the road verges can help with the early detection and control of potential IAPS in the region before they become problematic.

Preoperative prediction of lymphovascular and perineural invasion in gastric cancer using spectral computed tomography imaging and machine learning

BACKGROUND Lymphovascular invasion(LVI)and perineural invasion(PNI)are important prognostic factors for gastric cancer(GC)that indicate an increased risk of metastasis and poor outcomes.Accurate preoperative prediction of LVI/PNI status could help clinicians identify high-risk patients and guide treatment deci-sions.However,prior models using conventional computed tomography(CT)images to predict LVI or PNI separately have had limited accuracy.Spectral CT provides quantitative enhancement parameters that may better capture tumor invasion.We hypothesized that a predictive model combining clinical and spectral CT parameters would accurately preoperatively predict LVI/PNI status in GC patients.AIM To develop and test a machine learning model that fuses spectral CT parameters and clinical indicators to predict LVI/PNI status accurately.METHODS This study used a retrospective dataset involving 257 GC patients(training cohort,n=172;validation cohort,n=85).First,several clinical indicators,including serum tumor markers,CT-TN stages and CT-detected extramural vein invasion(CT-EMVI),were extracted,as were quantitative spectral CT parameters from the delineated tumor regions.Next,a two-step feature selection approach using correlation-based methods and information gain ranking inside a 10-fold cross-validation loop was utilized to select informative clinical and spectral CT parameters.A logistic regression(LR)-based nomogram model was subsequently constructed to predict LVI/PNI status,and its performance was evaluated using the area under the receiver operating characteristic curve(AUC).RESULTS In both the training and validation cohorts,CT T3-4 stage,CT-N positive status,and CT-EMVI positive status are more prevalent in the LVI/PNI-positive group and these differences are statistically significant(P<0.05).LR analysis of the training group showed preoperative CT-T stage,CT-EMVI,single-energy CT values of 70 keV of venous phase(VP-70 keV),and the ratio of standardized iodine concentration of equilibrium phase(EP-NIC)were independent influencing factors.The AUCs of VP-70 keV and EP-NIC were 0.888 and 0.824,respectively,which were slightly greater than those of CT-T and CT-EMVI(AUC=0.793,0.762).The nomogram combining CT-T stage,CT-EMVI,VP-70 keV and EP-NIC yielded AUCs of 0.918(0.866-0.954)and 0.874(0.784-0.936)in the training and validation cohorts,which are significantly higher than using each of single independent factors(P<0.05).CONCLUSION The study found that using portal venous and EP spectral CT parameters allows effective preoperative detection of LVI/PNI in GC,with accuracy boosted by integrating clinical markers.

Solitary extraovarian primary peritoneal carcinoma with direct invasion into the liver,diaphragm and lung without peritoneal dissemination or distant metastasis

To the Editor:Extraovarian primary peritoneal carcinoma(EOPPC)is an uncommon malignancy with many similarities to epithelial ovarian carcinoma in histological,clinical,and etiological aspects[1].This phenomenon is explained by their common embryonal origin,in which both develop from the coelomic epithelium in the early embryological stage.Despite their similarities,the incidence of EOPPC is significantly lower than that of epithelial ovarian carcinoma(6.78 cases per million vs.120.5 cases per million)[1].

Preoperative prediction of perineural invasion of rectal cancer based on a magnetic resonance imaging radiomics model:A dual-center study

BACKGROUND Perineural invasion(PNI)has been used as an important pathological indicator and independent prognostic factor for patients with rectal cancer(RC).Preoperative prediction of PNI status is helpful for individualized treatment of RC.Recently,several radiomics studies have been used to predict the PNI status in RC,demonstrating a good predictive effect,but the results lacked generalizability.The preoperative prediction of PNI status is still challenging and needs further study.AIM To establish and validate an optimal radiomics model for predicting PNI status preoperatively in RC patients.METHODS This retrospective study enrolled 244 postoperative patients with pathologically confirmed RC from two independent centers.The patients underwent preoperative high-resolution magnetic resonance imaging(MRI)between May 2019 and August 2022.Quantitative radiomics features were extracted and selected from oblique axial T2-weighted imaging(T2WI)and contrast-enhanced T1WI(T1CE)sequences.The radiomics signatures were constructed using logistic regression analysis and the predictive potential of various sequences was compared(T2WI,T1CE and T2WI+T1CE fusion sequences).A clinical-radiomics(CR)model was established by combining the radiomics features and clinical risk factors.The internal and external validation groups were used to validate the proposed models.The area under the receiver operating characteristic curve(AUC),DeLong test,net reclassification improvement(NRI),integrated discrimination improvement(IDI),calibration curve,and decision curve analysis(DCA)were used to evaluate the model performance.RESULTS Among the radiomics models,the T2WI+T1CE fusion sequences model showed the best predictive performance,in the training and internal validation groups,the AUCs of the fusion sequence model were 0.839[95%confidence interval(CI):0.757-0.921]and 0.787(95%CI:0.650-0.923),which were higher than those of the T2WI and T1CE sequence models.The CR model constructed by combining clinical risk factors had the best predictive performance.In the training and internal and external validation groups,the AUCs of the CR model were 0.889(95%CI:0.824-0.954),0.889(95%CI:0.803-0.976)and 0.894(95%CI:0.814-0.974).Delong test,NRI,and IDI showed that the CR model had significant differences from other models(P<0.05).Calibration curves demonstrated good agreement,and DCA revealed significant benefits of the CR model.CONCLUSION The CR model based on preoperative MRI radiomics features and clinical risk factors can preoperatively predict the PNI status of RC noninvasively,which facilitates individualized treatment of RC patients.

Application of texture signatures based on multiparameter-magnetic resonance imaging for predicting microvascular invasion in hepatocellular carcinoma:Retrospective study

BACKGROUND Despite continuous changes in treatment methods,the survival rate for advanced hepatocellular carcinoma(HCC)patients remains low,highlighting the importance of diagnostic methods for HCC.AIM To explore the efficacy of texture analysis based on multi-parametric magnetic resonance(MR)imaging(MRI)in predicting microvascular invasion(MVI)in preoperative HCC.METHODS This study included 105 patients with pathologically confirmed HCC,categorized into MVI-positive and MVI-negative groups.We employed Original Data Analysis,Principal Component Analysis,Linear Discriminant Analysis(LDA),and Non-LDA(NDA)for texture analysis using multi-parametric MR images to predict preoperative MVI.The effectiveness of texture analysis was determined using the B11 program of the MaZda4.6 software,with results expressed as the misjudgment rate(MCR).RESULTS Texture analysis using multi-parametric MRI,particularly the MI+PA+F dimensionality reduction method combined with NDA discrimination,demonstrated the most effective prediction of MVI in HCC.Prediction accuracy in the pulse and equilibrium phases was 83.81%.MCRs for the combination of T2-weighted imaging(T2WI),arterial phase,portal venous phase,and equilibrium phase were 22.86%,16.19%,20.95%,and 20.95%,respectively.The area under the curve for predicting MVI positivity was 0.844,with a sensitivity of 77.19%and specificity of 91.67%.CONCLUSION Texture analysis of arterial phase images demonstrated superior predictive efficacy for MVI in HCC compared to T2WI,portal venous,and equilibrium phases.This study provides an objective,non-invasive method for preoperative prediction of MVI,offering a theoretical foundation for the selection of clinical therapy.

Immune-related long noncoding RNA zinc finger protein 710-AS1-201 promotes the metastasis and invasion of gastric cancer cells

BACKGROUND Gastric cancer(GC)is a prevalent malignant tumor of the gastrointestinal system.ZNF710 is a transcription factor(TF),and zinc finger protein 710(ZNF710)-AS1-201 is an immune-related long noncoding RNA(lncRNA)that is upregulated in GC cells.AIM To assess the correlation between ZNF710-AS1-201 and immune microenvir-onment features and to investigate the roles of ZNF710-AS1-201 in the invasion and metastasis processes of GC cells.METHODS We obtained data from The Cancer Genome Atlas and Wujin Hospital.We assessed cell growth,migration,invasion,and programmed cell death using cell counting kit-8,EdU,scratch,Transwell,and flow cytometry assays.Quantitative real-time polymerase chain reaction(qRT-PCR)was used to identify the potential downstream targets of ZNF710-AS1-201.RESULTS In GC tissues with low ZNF710-AS1-201 expression,immunoassays detected significant infiltration of various antitumor immune cells,such as memory CD8 T cells and activated CD4 T cells.In the low-expression group,the half-maximal inhibitory concentrations(IC_(50)s)of 5-fluorouracil,cisplatin,gemcitabine,and trametinib were lower,whereas the IC_(50)s of dasatinib and vorinostat were higher.The malignant degree of GC was higher and the stage was later in the high-expression group.Additionally,patients with high expression of ZNF710-AS1-201 had lower overall survival and disease-free survival rates.In vitro,the overexpression of ZNF710-AS1-201 greatly enhanced growth,metastasis,and infiltration while suppressing cell death in HGC-27 cells.In contrast,the reduced expression of ZNF710-AS1-201 greatly hindered cell growth,enhanced apoptosis,and suppressed the metastasis and invasion of MKN-45 cells.The expression changes in ZNF710 were significant,but the corresponding changes in isocitrate dehydrogenase-2,Semaphorin 4B,ARHGAP10,RGMB,hsa-miR-93-5p,and ZNF710-AS1-202 were not consistent or statistically significant after overexpression or knockdown of ZNF710-AS1-201,as determined by qRT-PCR.CONCLUSION Immune-related lncRNA ZNF710-AS1-201 facilitates the metastasis and invasion of GC cells.It appears that ZNF710-AS1-201 and ZNF710 have potential as effective targets for therapeutic intervention in GC.Nevertheless,it is still necessary to determine the specific targets of the ZNF710 TF.

基于术前LCR及PNI的结直肠癌根治术后感染性并发症预测模型的构建与评价

目的探讨淋巴细胞绝对数与C反应蛋白比值(lymphocytes to C-reactive protein ratio,LCR)联合预后营养指数(prognostic nutritional index,PNI)对结直肠癌根治术后感染性并发症的预测作用,并分析影响术后感染性并发症的危险因素,建立一种能够识别术后感染性并发症风险的新模型并对其效能进行评价。方法回顾性分析2019年3月~2022年4月安徽医科大学第三附属医院收治的339例结直肠癌患者的临床资料,随机分为训练组和验证组。采用X-tile软件确定LCR及PNI的最佳截断值,采用单因素和多因素Logistic回归分析确定术后感染性并发症发生的危险因素,然后通过训练组数据构建列线图预测模型,最后评价该预测模型的效能。结果术前LCR及PNI的最佳截断值分别为0.48和45.65,结合两者构建LCR-PNI评分(0、1、2分),评分越高术后出现感染性并发症的概率越大(P<0.05)。基于列线图的预测模型,训练组和验证组的曲线下面积为0.840和0.814,校准曲线一致性较好;决策分析曲线分析表明,该模型具有较高的净获益水平。结论术前LCR-PNI评分是结直肠癌患者术后感染性并发症的独立危险因素。本研究开发的列线图对结直肠癌根治术后感染性并发症具有良好的个体预测能力。

IL-17 induces NSCLC cell migration and invasion by elevating MMP19 gene transcription and expression through the interaction of p300-dependent STAT3-K631 acetylation and its Y705-phosphorylation

The cancer cell metastasis is a major death reason for patients with non-small cell lung cancer(NSCLC).Although researchers have disclosed that interleukin 17(IL-17)can increase matrix metalloproteinases(MMPs)induction causing NSCLC cell metastasis,the underlying mechanism remains unclear.In the study,we found that IL-17 receptor A(IL-17RA),p300,p-STAT3,Ack-STAT3,and MMP19 were up-regulated both in NSCLC tissues and NSCLC cells stimulated with IL-17.p300,STAT3 and MMP19 overexpression or knockdown could raise or reduce IL-17-induced p-STAT3,Ack-STAT3 and MMP19 level as well as the cell migration and invasion.Mechanism investigation revealed that STAT3 and p300 bound to the same region(−544 to−389 nt)of MMP19 promoter,and p300 could acetylate STAT3-K631 elevating STAT3 transcriptional activity,p-STAT3 or MMP19 expression and the cell mobility exposed to IL-17.Meanwhile,p300-mediated STAT3-K631 acetylation and its Y705-phosphorylation could interact,synergistically facilitating MMP19 gene transcription and enhancing cell migration and invasion.Besides,the animal experiments exhibited that the nude mice inoculated with NSCLC cells by silencing p300,STAT3 or MMP19 gene plus IL-17 treatment,the nodule number,and MMP19,Ack-STAT3,or p-STAT3 production in the lung metastatic nodules were all alleviated.Collectively,these outcomes uncover that IL-17-triggered NSCLC metastasis involves up-regulating MMP19 expression via the interaction of STAT3-K631 acetylation by p300 and its Y705-phosphorylation,which provides a new mechanistic insight and potential strategy for NSCLC metastasis and therapy.

Regulation of TMEM100 expression by epigenetic modification,effects on proliferation and invasion of esophageal squamous carcinoma

BACKGROUND Esophageal squamous cell carcinoma(ESCC)is a prevalent malignancy with a high morbidity and mortality rate.TMEM100 has been shown to be suppressor gene in a variety of tumors,but there are no reports on the role of TMEM100 in esophageal cancer(EC).AIM To investigate epigenetic regulation of TMEM100 expression in ESCC and the effect of TMEM100 on ESCC proliferation and invasion.METHODS Firstly,we found the expression of TMEM100 in EC through The Cancer Genome Atlas database.The correlation between TMEM100 gene expression and the survival of patients with EC was further confirmed through Kaplan-Meier analysis.We then added the demethylating agent 5-AZA to ESCC cell lines to explore the regulation of TMEM100 expression by epigenetic modification.To observe the effect of TMEM100 expression on tumor proliferation and invasion by overexpressing TMEM100.Finally,we performed gene set enrichment analysis using the Kyoto Encyclopaedia of Genes and Genomes Orthology-Based Annotation System database to look for pathways that might be affected by TMEM100 and verified the effect of TMEM100 expression on the mitogen-activated protein kinases(MAPK)pathway.RESULTS In the present study,by bioinformatic analysis we found that TMEM100 was lowly expressed in EC patients compared to normal subjects.Kaplan-meier survival analysis showed that low expression of TMEM100 was associated with poor prognosis in patients with EC.Then,we found that the demethylating agent 5-AZA resulted in increased expression of TMEM100 in ESCC cells[quantitative real-time PCR(qRT-PCR)and western blotting].Subsequently,we confirmed that overexpression of TMEM100 leads to its increased expression in ESCC cells(qRT-PCR and western blotting).Overexpression of TMEM100 also inhibited proliferation,invasion and migration of ESCC cells(cell counting kit-8 and clone formation assays).Next,by enrichment analysis,we found that the gene set was significantly enriched in the MAPK signaling pathway.The involvement of TMEM100 in the regulation of MAPK signaling pathway in ESCC cell was subsequently verified by western blotting.CONCLUSION TMEM100 is a suppressor gene in ESCC,and its low expression may lead to aberrant activation of the MAPK pathway.Promoter methylation may play a key role in regulating TMEM100 expression.

TM9SF1 is implicated in promoting the proliferation and invasion of bladder cancer cells

Zhuo et al looked into the part of transmembrane 9 superfamily member 1(TM9SF1)in bladder cancer(BC),and evaluated if it can be used as a therapeutic target.They created a permanent BC cell line and tested the effects of TM9SF1 overexpression and suppression on BC cell growth,movement,invasion,and cell cycle advancement.Their results show that TM9SF1 can boost the growth,movement,and invasion of BC cells and their access into the G2/M stage of the cell cycle.This research gives a novel direction and concept for targeted therapy of BC.

PNI与老年肺结核患者合并肺部细菌感染的相关性

目的 探讨预后营养指数(PNI)与老年肺结核患者合并肺部细菌感染的相关性。方法 纳入老年肺结核合并肺部细菌感染患者(结核合并感染组)151例,非合并感染患者(肺结核组)134例作为研究对象。对两组住院天数、C-反应蛋白(CRP)、白细胞(WBC)、中性粒细胞(N)、中性粒细胞百分比(N%)、淋巴粒细胞(L)、白蛋白(ALB)、血红蛋白(HGB)、血小板计数(PLT)、PNI进行比较。分析PNI与CRP的相关性。分析PNI、WBC及两者联合检测对老年肺结核合并肺部细菌感染诊断的预测价值。结果 结核合并感染组住院天数、CRP、WBC、N、N%、PLT高于肺结核组,L、ALB、HGB、PNI低于肺结核组,差异均有统计学意义(P<0.05)。PNI与CRP、N、N%呈负相关,与L、HGB呈正相关(P<0.05)。PNI、WBC、CRP、PLT及4项联合检测的曲线下面积(AUC)分别为0.641、0.665、0.742、0.571和0.754。结论 老年肺结核患者合并肺部细菌感染时,其PNI值低于非感染患者,与炎症程度呈负相关。PNI是一种较好的判断老年肺结核患者是否合并肺部细菌感染的辅助检查指标。

Glioblastoma multiforme:Diagnosis, treatment, and invasion

Glioblastoma multiforme(GBM) is an essentially incurable brain tumor, which has been explored for approximately a century. Nowadays, surgical resection, chemotherapy, and radiation therapy are still the standardized therapeutic options. However, due to the intrinsic invasion and metastasis features and the resistance to chemotherapy, the survival rate of glioblastoma patients remains unsatisfactory. To improve the current situation, much more research is needed to provide comprehensive knowledge of GBM. In this review, we summarize the latest updates on GBM treatment and invasion. Firstly, we review the traditional and emerging therapies that have been used for GBM treatment. Given the limited efficiency of these therapies, we further discuss the role of invasion in GBM recurrence and progression, and present current research progress on the mode and mechanisms of GBM invasion.

Postoperative adjuvant therapy for hepatocellular carcinoma with microvascular invasion

Hepatocellular carcinoma(HCC)is one of the most lethal tumors in the world.Liver resection(LR)and liver transplantation(LT)are widely considered as radical treatments for early HCC.However,the recurrence rates after curative treatment are still high and overall survival is unsatisfactory.Microvascular invasion(MVI)is considered to be one of the important prognostic factors affecting postoperative recurrence and long-term survival.Unfortunately,whether HCC patients with MVI should receive postoperative adjuvant therapy remains unknown.In this review,we summarize the therapeutic effects of transcatheter arterial chemoembolization,hepatic arterial infusion chemotherapy,tyrosine protein kinase inhibitor-based targeted therapy,and immune checkpoint inhibitors in patients with MVI after LR or LT,aiming to provide a reference for the best adjuvant treatment strategy for HCC patients with MVI after LT or LR.

Intercontinental comparison of phylogenetic relatedness in introduced plants at the transition from naturalization to invasion:A case study on the floras of South Africa and China

Invasive species may pose significant threats to biodiversity and ecosystem structure and functioning.The number of introduced species that have become invasive is substantial and is rapidly increasing.Identifying potentially invasive species and preventing their expansion are of critical importance in invasion ecology.Phylogenetic relatedness between invasive and native species has been used in predicting invasion success.Previous studies on the phylogenetic relatedness of plants at the transition from naturalization to invasion have shown mixed results,which may be because different methods were used in different studies.Here,I use the same method to analyze two comprehensive data sets from South Africa and China,using two phylogenetic metrics reflecting deep and shallow evolutionary histories,to address the question whether the probability of becoming invasive is higher for naturalized species distantly related to the native flora.My study suggests that the probability of becoming invasive is higher for naturalized species closely related to the native flora.The finding of my study is consistent with Darwin's preadaptation hypothesis.

Chicken skin mucosa surrounding small colorectal cancer could be an endoscopic predictive marker of submucosal invasion

BACKGROUND Chicken skin mucosa(CSM)surrounding colon polyps is a common endoscopic finding with pale yellow-speckled mucosa during a colonoscopy screening.Although reports about CSM surrounding small colorectal cancer are scarce,and its clinical significance in intramucosal and submucosal cancers is unclear,previous studies have suggested it could be an endoscopic predictive marker for colonic neoplastic and advanced polyps.Currently,because of the inaccurate preoperative evaluation by endoscopists,many small colorectal cancers,particularly lesions with a diameter<2 cm,are improperly treated.Therefore,more effective methods are required to better assess the depth of the lesion before treatment.AIM To explore potential markers of small colorectal cancer early invasion under white light endoscopy,providing patients with better treatment alternatives.METHODS This retrospective cross-sectional study included 198 consecutive patients[233 early colorectal cancers(ECCs)]who underwent endoscopy or surgical procedures at the Digestive Endoscopy Center of Chengdu Second People’s Hospital between January 2021 and August 2022.The participants had pathologically confirmed colorectal cancer with a lesion diameter<2 cm and received endoscopic or surgical treatment,including endoscopic mucosal resection and submucosal dissection.Clinical pathology and endoscopy parameters,including tumor size,invasion depth,anatomical position,and morphology,were reviewed.Fisher’s exact test,theχ2 test,and Student’s t-test were used to analyze the patient’s basic characteristics.Logistic regression analysis was used to examine the relationship between morphological characteristics,size,CSM prevalence,and ECC invasion depth under white light endoscopy.Statistical significance was set at P<0.05.RESULTS The submucosal carcinoma(SM stage)was larger than the mucosal carcinoma(M stage)with a significant difference(17.2±4.1 vs 13.4±4.6 mm,P<0.01).M-and SM-stage cancers were common in the left colon;however,no significant differences were found between them(151/196,77%and 32/37,86.5%,respectively,P=0.199).The endoscopic features of colorectal cancer revealed that CSM,depressed areas with clear boundaries,and erosion or ulcer bleeding were more common in the SM-stage cancer group than in the M-stage cancer group(59.5%vs 26.2%,46%vs 8.7%,and 27.3%vs 4.1%,respectively,P<0.05).CSM prevalence in this study was 31.3%(73/233).The positive rates of CSM in flat,protruded,and sessile lesions were 18%(11/61),30.6%(30/98),and 43.2%(32/74),respectively,with significant differences(P=0.007).CONCLUSION CSM-related small colorectal cancer was primarily located in the left colon and could be a predictive marker of submucosal invasion in the left colon.

Does regional species diversity resist biotic invasions?

The role of regional species diversity in large-scale species invasions has been largely controversial.On the one hand,it has been proposed that diversity may facilitate invasion(“diversity begets diversity”)because regions with higher diversity may indicate favorable conditions for many more species.On the other hand,high diversity may indicate high levels of niche occupation,thus making it more difficult for new species to invade.In the past,invasion biologists have evaluated how regional native and exotic richness are related.Here,we test whether the range size of exotic species may be constrained by regional native richness using plant data from three continental regions in the Northern Hemisphere,i.e.,Europe,Eastern Asia,and North America.We found that regional native plant diversity is inversely related to the range size of exotic species.This result may be due to stronger species interactions such as competition in species-rich habitats that limit the establishment and spread of exotic species.

A method for quantifying relative competitive advantage and the combined effect of co-invasion for two invasive plants

Invasive plants affect the composition of native habitats,often triggering the loss of biodiversity(Kuebbing et al.,2014,2016;Wang et al.,2021a,2021b).Hence,understanding the mechanisms that underlie successful biological invasion has become a major issue in invasion ecology.The invasion of one habitat by two or more invasive plants is referred to as co-invasion(Sheppard,2019;Wang et al.,2020,2022;Wei et al.,2020a).The invasional meltdown hypothesis posits that the successful colonization of one invasive plant can create a favorable environment for the successful colonization of a second invasive plant(Simberloff,2006;Green et al.,2011;Kuebbing et al.,2016;Braga et al.,2017).

The dynamic arms race during the early invasion of woodland strawberry by Botrytis cinerea revealed by dual dense high-resolution RNA-seq analyses

Necrotrophic pathogens replicate massively upon colonizing plants,causing large-scale wilting and death of plant tissues.Under-standing both mechanisms of pathogen invasion and host response processes prior to symptom appearance and their key regulatory networks is therefore important for defense against pathogen attack.Here,we investigated the mechanisms of interaction between woodland strawberry(Fragaria vesca)leaves and gray mold pathogen(Botrytis cinerea)at 14 infection time points during the first 12 hours of the infection period using a dense,high-resolution time series dual transcriptomic analysis,characterizing the arms race between strawberry F.vesca and B.cinerea before the appearance of localized lesions.Strawberry leaves rapidly initiated strong systemic defenses at the first sign of external stimulation and showed lower levels of transcriptomic change later in the infection process.Unlike the host plants,B.cinerea showed larger-scale transcriptomic changes that persisted throughout the infection process.Weighted gene co-expression network analysis identified highly correlated genes in 32 gene expression modules between B.cinerea and strawberry.Yeast two-hybrid and bimolecular fluorescence complementation assays revealed that the disease response protein FvRLP2 from woodland strawberry interacted with the cell death inducing proteins BcXYG1 and BcPG3 from B.cinerea.Overexpression of FvRLP2 in both strawberry and Arabidopsis inhibited B.cinerea infection,confirming these genes’respective functions.These findings shed light on the arms race process by which B.cinerea invades host plants and strawberry to defend against pathogen infection.

Prediction of the lymphatic,microvascular,and perineural invasion of pancreatic neuroendocrine tumors using preoperative magnetic resonance imaging

BACKGROUND Significant correlation between lymphatic,microvascular,and perineural invasion(LMPI)and the prognosis of pancreatic neuroendocrine tumors(PENTs)was confirmed by previous studies.There was no previous study reported the relationship between magnetic resonance imaging(MRI)parameters and LMPI.AIM To determine the feasibility of using preoperative MRI of the pancreas to predict LMPI in patients with non-functioning PENTs(NFPNETs).METHODS A total of 61 patients with NFPNETs who underwent MRI scans and lymphadenectomy from May 2011 to June 2018 were included in this retrospective study.The patients were divided into group 1(n=34,LMPI negative)and group 2(n=27,LMPI positive).The clinical characteristics and qualitative MRI features were collected.In order to predict LMPI status in NF-PNETs,a multivariate logistic regression model was constructed.Diagnostic performance was evaluated by calculating the receiver operator characteristic(ROC)curve with area under ROC,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV)and accuracy.RESULTS There were significant differences in the lymph node metastasis stage,tumor grade,neuron-specific enolase levels,tumor margin,main pancreatic ductal dilatation,common bile duct dilatation,enhancement pattern,vascular and adjacent tissue involvement,synchronous liver metastases,the long axis of the largest lymph node,the short axis of the largest lymph node,number of the lymph nodes with short axis>5 or 10 mm,and tumor volume between two groups(P<0.05).Multivariate analysis showed that tumor margin(odds ratio=11.523,P<0.001)was a predictive factor for LMPI of NF-PNETs.The area under the receiver value for the predictive performance of combined predictive factors was 0.855.The sensitivity,specificity,PPV,NPV and accuracy of the model were 48.1%(14/27),97.1%(33/34),97.1%(13/14),70.2%(33/47)and 0.754,respectively.CONCLUSION Using preoperative MRI,ill-defined tumor margins can effectively predict LMPI in patients with NF-PNETs.

PLR-PNI对TACE治疗中晚期肝癌生存期的预测分析

目的 探讨血小板/淋巴细胞比值(PLR)和预后营养指数(PNI)联合评分与肝癌患者经导管肝动脉化疗栓塞术(TACE)后生存期的关系。方法 回顾性分析十堰市太和医院95例接受TACE治疗的中晚期肝癌患者的临床和随访资料。计算并分析其PLR和PNI的联合评分对患者生存率的影响。采用Kaplan-Meier法进行生存分析,采用Cox比例风险模型分析患者术后生存期的危险因素。分析不同PLR-PNI联合评分患者术后生存期差异。结果 生存分析显示PLR-PNI联合评分0、1、2分患者的生存率分别为48.7%、26.0%和14.7%(P<0.05);多因素分析显示AFP水平、肿瘤直径、血管侵犯、BCLC分期,PLR-PNI评分是影响TACE术后患者生存期的独立危险因素。结论 患者PLR和PNI联合评分可用于评估肝癌患者经TACE治疗生存期,评分越低的患者生存率越高。