Clinicopathological characteristics of androgen receptor splicing variant 7 (AR-V7) expression in patients with castration resistant prostate cancer: A systematic review and meta‐analysis

Background Studies have shown that AR-V7 may be correlated with the poor prognosis of castration resistant prostate cancer (CRPC), however, clinicopathological characteristics of AR-V7 have not been fully elucidated.ObjectiveThis study aimed at evaluating the clinicopathological features of AR-V7 in CRPC patients.Materials and methodsTo evaluate the clinicopathological features of AR-V7 in CRPC patients. A search of PubMed, Embase, and Web of Science was performed using the keywords prostate cancer, prostate tumor, prostate neoplasm, prostate carcinoma, AR-V7, AR3, androgen receptor splicing variant-7, or androgen receptor-3. Twenty-four trials published by February 2020 were included in this study.ResultsThe proportion of Gleason score ≥ 8 was found to be significantly higher in AR-V7-positive CRPC (69.5%) than negative (54.9%) (OR 1.68, 95% CI 1.25–2.25, p < 0.001), while the rates of T3/T4 stage (OR 1.16, 95% CI 0.60–2.24, p = 0.65) and N1 stage (OR 0.99, 95% CI 0.65–1.51, p = 0.96) were not statistically correlated with AR-V7 status. The AR-V7-positive patients exhibited a significantly higher proportion of any site metastasis (61.3% versus 35.0%; OR 2.19, 95% CI 1.57–3.05, p < 0.001) and bone metastasis (81.7% versus 69.0%; OR 1.97, 95% CI 1.44–2.69, p < 0.001), and a trend close to significance was expected in visceral metastasis (28.8% versus 22.1%; OR 1.29, 95% CI 0.96–1.74, p = 0.09). Incidences of pain in AR-V7-positive CRPC (54.6%) were significantly higher than in negative CRPC (28.1%; OR 4.23, 95% CI 2.52–7.10, p < 0.001), line with worse ECOG performance status (56.7% versus 35.0%, OR 2.18, 95% CI 1.51–3.16, P < 0.001). Limitations of the study include differences in sample sizes and designs, AR-V7 detection assays, as well as disease characteristics of the included studies.ConclusionsAR-V7 positivity is associated with a higher Gleason score, bone or any site metastasis, pain and worse ECOG performance scores in CRPC. However, it is not correlated with tumor stage or lymph node metastasis. More studies are needed to confirm these findings.     

Stage-structured ontogeny in resource populations generates non-additive stabilizing and de-stabilizing forces in populations and communities

Demographic heterogeneity influences how populations respond to density dependent intraspecific competition and trophic interactions. Distinct stages across an organism's development, or ontogeny, are an important example of demographic heterogeneity. In consumer populations, ontogenetic stage structure has been shown to produce categorical differences in population dynamics, community dynamics and even species coexistence compared to models lacking explicit ontogeny. The study of consumer–resource interactions must also consider the ontogenetic stage structure of the resource itself, particularly plants, given their fundamental role at the basis of terrestrial food webs. We incorporate distinct ontogenetic stages of plants into an adaptable multi-stage consumer–resource modeling framework that facilitates studying how stage specific consumers shape trophic dynamics at low trophic levels. We describe the role of density dependent demographic rates in mediating the dynamics of stage-structured plant populations. We then investigate how these demographic rates interact with consumer pressure to influence stability and coexistence in multiple stage-specific consumer–resource interactions. Results detail how density dependent effects across distinct ontogenetic stages in plant development produce non-additivity in the drivers of dynamic stability both in single populations and in consumer–resource settings, challenging the ubiquity of certain traditional ecological dynamic paradigms. We also find categorical differences in the population variability induced by herbivores consuming separate plant stages. Consumer–resource models, such as plant–herbivore interactions, often average out demographic heterogeneity in populations. Here, we show that explicitly including plant demographic heterogeneity through ontogeny yields distinct dynamic expectations for both plants and herbivores compared to traditional consumer–resource formulations. Our results indicate that efforts to understand the demographic effect of herbivores on plant populations may need to also consider the effects of plant demographics on herbivores and the reciprocal relationship between them.     

太岳山油松林火烧迹地恢复初期植物群落结构特征

为研究山西太岳山油松（Pinus tabuliformis）林过火后恢复初期林下草本植物群落结构,以2019年3月太岳山油松林火烧迹地为研究对象,采用群落相似性指数、多样性指数、稳定性系数、TWINSPAN数量分类和DCA排序等方法对群落组成、多样性、类型及稳定性等进行了研究。结果表明：（1）火烧迹地恢复初期以低矮灌木和多年生草本植物为主,其中又以地面芽植物占比最大。优势植物主要为大披针薹草（Carex lanceolata）和多花胡枝子（Lespedeza floribunda）;（2）火烧迹地恢复初期各样地植物群落相似性系数和多样性指数相对较小,均匀度指数较大,但各样地恢复效果不尽相同,样地6和样地7的植物群落各项指标相对大于其他样地;（3）TWINSPAN数量分类将火烧迹地植物群落划分成：I.大披针薹草+南牡蒿（Artemisia eriopoda）+地榆（Sanguisorba officinalis）群丛、II.多花胡枝子+大披针薹草+二色棘豆（Oxytropis bicolor）群丛、III.多花胡枝子+大披针薹草+米口袋（Gueldenstaedtia verna）群丛、IV.多花胡枝子+大披针薹草+荠苨（Adenophora trachelioides）群丛、V.大披针薹草+白莲蒿（Artemisia stechmanniana）+狗娃花（Aster hispidus）群丛、VI.白莲蒿群丛、VII.大披针薹草+狗娃花+野艾蒿（Artemisia lavandulifolia）群丛;（4）DCA排序结果表明,火烧迹地恢复初期植物群落结构单一,沿样地和坡位变化较小,仅区分出样地7和其他样地两大类植物群落。（5）火烧迹地恢复初期植物群落处于不稳定的状态,但各样地间群落稳定性存在一定差别,其中样地1最大,样地5最小。总之,研究区植物群落处于演替初期,各样地间植物群落稳定性较差,多样性和整体相似性较小,但优势种群相似性较高,植物群落结构仍处于动态变化之中。研究揭示了太岳山火烧迹地恢复初期植物群落结构特征,积累了该区域火烧迹地植物群落生态学数据,同时可为该区域生态恢复提供科学依据。     

云南两个县陆稻稻瘟病菌稻巨座壳交配型测定及致病性分析

2014年,自云南省沧源县及耿马县陆稻地方品种上分离99个稻瘟病菌稻巨座壳单孢菌株,采用4个已知交配型的标准菌株对其进行育性和交配型测定。结果表明,两地稻巨座壳菌株具较高的育性,平均可交配率高达90.8%,且可育菌株中,MAT1-1和MAT1-2菌株分别占60.9%和39.1%;分别随机对沧源县南撒村和班考村同一田块MAT1-1型和MAT1-2型可育两性菌株进行交配,均能发育形成成熟的子囊孢子,说明该陆稻地区稻巨座壳菌的可育菌株数量丰富,且于适宜条件极有可能产生有性世代;利用22个以丽江新团黑谷为背景、持有不同抗稻瘟病基因的单基因系对分离的99个稻巨座壳菌株的致病性进行测定,明确了不同菌株的致病性,且发现Pik-h、Piz-t、Pi5及Pi9基因表现出良好的抗性,平均抗病频率达到90.0%以上、是抗病育种的优异抗原;同时,菌株对特定抗性基因致病性的明确,也为选用不同菌株的组合开展有性杂交,构建遗传群体开展稻巨座壳菌无毒基因的克隆鉴定奠定了基础。     

The weakest link: sensitivity to climate extremes across life stages of marine invertebrates

Predicting the effects of climate change on Earth's biota becomes even more challenging when acknowledging that most species have life cycles consisting of multiple stages, each of which may respond differently to extreme environmental conditions. There is currently no clear consensus regarding which stages are most susceptible to increasing environmental stress, or ‘climate extremes’. We used a meta‐analytic approach to quantify variation in responses to environmental stress across multiple life stages of marine invertebrates. We identified 287 experiments in 29 papers which examined the lethal thresholds of multiple life stages (embryo, larva, juvenile and adult) of both holoplanktonic and meroplanktonic marine invertebrates subjected to the same experimental conditions of warming, acidification and hypoxia stress. Most studies considered short acute exposure to stressors. We calculated effect sizes (log response ratio) for each life stage (unpaired analysis) and the difference in effect sizes between stages of each species (paired analysis) included in each experiment. In the unpaired analysis, all significant responses were negative, indicating that warming, acidification and hypoxia tended to increase mortality. Furthermore, embryos, larvae and juveniles were more negatively affected by warming than adults. The paired analysis revealed that, when subjected to the same experimental conditions, younger life stages were more negatively affected by warming than older life stages, specifically among pairings of adults versus juveniles and larvae versus embryos. Although responses to warming are well documented, few studies of the effects of acidification and hypoxia met the criteria for inclusion in our analyses. Our results suggest that while most life stages will be negatively affected by climate change, younger stages of marine invertebrates are more sensitive to extreme heating events.     

Combined analysis of RNA‐sequence and microarray data reveals effective metabolism‐based prognostic signature for neuroblastoma

The relationship between metabolism reprogramming and neuroblastoma (NB) is largely unknown. In this study, one RNA‐sequence data set (n = 153) was used as discovery cohort and two microarray data sets (n = 498 and n = 223) were used as validation cohorts. Differentially expressed metabolic genes were identified by comparing stage 4s and stage 4 NBs. Twelve metabolic genes were selected by LASSO regression analysis and integrated into the prognostic signature. The metabolic gene signature successfully stratifies NB patients into two risk groups and performs well in predicting survival of NB patients. The prognostic value of the metabolic gene signature is also independent with other clinical risk factors. Nine metabolism‐related long non‐coding RNAs (lncRNAs) were also identified and integrated into the metabolism‐related lncRNA signature. The lncRNA signature also performs well in predicting survival of NB patients. These results suggest that the metabolic signatures have the potential to be used for risk stratification of NB. Gene set enrichment analysis (GSEA) reveals that multiple metabolic processes (including oxidative phosphorylation and tricarboxylic acid cycle, both of which are emerging targets for cancer therapy) are enriched in the high‐risk NB group, and no metabolic process is enriched in the low‐risk NB group. This result indicates that metabolism reprogramming is associated with the progression of NB and targeting certain metabolic pathways might be a promising therapy for NB.     

铜尾矿白羊草各生长阶段根际土壤丛枝菌根真菌群落特征

以北方铜业铜矿峪矿十八河尾矿坝主要恢复植被白羊草为研究对象，分析重金属污染环境下，白羊草不同生长阶段根际土壤中丛枝菌根真菌（Arbuscular mycorrhizal fungi，AMF）群落结构与多样性的变化特征，研究各生长阶段白羊草AMF群落结构与环境因子的相互关系。结果发现，白羊草不同生长阶段根际土壤的理化性质和酶活性均存在显著差异。白羊草各生长阶段根际土壤中具有相同的优势科球囊霉科，但AMF群落组成在各个生长阶段的结构存在明显不同。白羊草各生长阶段主要AMF物种对生态因子的响应表现为：幼苗期根际土壤中球囊霉科主要受土壤养分和碳氮比的影响，分蘖期根际土壤中多样孢囊霉科的主要影响因子为土壤pH，成熟期根际土壤中，双型囊霉科双型囊霉科与土壤过氧化氢酶显著相关，类球囊霉科与土壤脲酶显著正相关。总体看来，白羊草各生长阶段根际土壤AMF群落特征受到的生态因子影响具有明显差异。这有助于进一步认识污染环境下AMF的群落特征及其关键影响因子，为铜尾矿生态恢复过程中发掘和利用菌种资源提供科学依据，从而提高矿区生态修复效率。     

Downstream displacement of post‐emergent brown trout: effects of development stage and water velocity

Brown trout Salmo trutta were introduced at hatching into distinct sections of two parallel artificial channels, one with a constant low velocity (control) and one with velocity changes (experimental), at such times as to produce 12, 3 and 0 day old fish (age after emergences) when the velocity was changed in the experimental channel. This experimental design was repeated in 2002 and 2003 at comparable dates. Young brown trout were sensitive to an increased water velocity for 5 to 6 days after emergence. Water velocity modified the displacement patterns qualitatively but not quantitatively. Eighty per cent of fish moved downstream at all water velocities. Velocity changes, however, advanced the time by which 80% of the fish had displaced downstream.     

自我重复取样技术与多项式定理在年龄-龄期两性生命表研究中的应用

年龄-龄期两性生命表(age-stage, two-sex life table)简称两性生命表,是种群生态学研究与害虫治理中常用的重要理论与分析工具。根据两性生命表理论而设计的方便用户的软件TWOSEX-MSChart近年来被越来越多国内外学者用于昆虫种群研究的数据分析。两性生命表软件的分析功能是由许多的统计技术与计算机模拟方法作为数据分析的支撑,其中自我重复取样(bootstrap)是其重要技术之一。本文详述了bootstrap技术的基本原理、方法、优缺点及其在两性生命表分析中的应用,并介绍了其理论基础多项式定理(multinomial theorem)在生命表研究中的应用。与常用统计方法相比,bootstrap不需要数据分布假设就可以对数据总体的分布特性进行统计和推断。在两性生命表分析中,bootstrap不仅可以估算种群参数或一般统计值的方差和标准误,同时利用paired bootstrap test还可以比较不同处理间的差异,准确显示种群的变异性。利用相同的自我重复取样样本(same bootstrap samples)可以正确计算昆虫的孵化率与不同繁殖型对种群参数的贡献,并可连接天敌的生命表与捕食率分析,以正确分析昆虫种群的繁殖力或天敌种群的捕食潜能等。此外,本文介绍了bootstrap数学理论基础的多项式定理,其在两性生命表研究中的应用进一步证明了bootstrap重复取样技术能得到较稳定和可靠的总体参数估计,并分析了生命表研究中考虑无效bootstrap样本的重要性。近年来,关于两性生命表及bootstrap的应用相关研究较多,但是关于bootstrap技术的原理及方法很少报道。本文将有助于从事昆虫学和生态学的研究人员理解bootstrap技术和多项式定理的基本理论与原理及其在两性生命表分析中的应用,以更好地将其运用于相关科研工作中。