Literatura científica selecionada sobre o tema "Da lu yin hang"

The Encantadas Complex is a unit composed of dioritic, tonalitic and trondhjemitic gneisses with minor hornblendite. This complex is intruded by granites of Neoproterozoic age. Major and trace element data indicate metaluminous to slightly peraluminous composition related to the medium-K calc-alkaline series. Compositional parameters are consistent with a common evolution from less differentiated magmas, probably through fractional crystallization. The orthogneisses show LaN/YbN ratios from 10 to 50, K2O/Na2O varying from 1.1 to 3.0, Y contents from 3 to 39 ppm, Yb from 0.3 to 3.7, and Lu with contents in the range 0.06 and 0.54 ppm. Such geochemical features are similar to those of Archaean tonalitic rocks and are usually described in rocks formed by partial melting of mafic rocks under high-pressure conditions leaving an eclogitic residue. The presence of diorites and hornblendites, associated to tonalitic and trondhjemitic gneisses suggests, on the other hand, that tonalitic magmas could be formed by hornblende-controlled fractionation of hydrous basaltic magmas. Tonalitic gneisses show U-PbSHRIMP zircon age of 2, 263 ± 6 Ma for igneous crystallization and 2, 045 ± 10 Ma for the metamorphism. The geochemical parameters, tectonic and geochronological features of Encantadas Complex are consistent with magmas derived from mantle metasomatized by subduction-related fluids in a continental-arc.

Abstract Background: Emerging HER2-targeted drugs especially antibody–drug conjugates (ADCs) are promising and provide more options for breast cancer management. Current assessment of HER2 status and treatment decisions are mainly dependent on immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH) on the primary tumor tissues. With the disease progression, the molecular status of the tumor may evolve and become discordant with the primary site. However, longitudinal monitoring of HER2 status is limited by infeasible repeated sampling of the tumor tissues. A non-invasive and accurate approach to obtaining real-time samples for measuring HER2 alterations is thus an unmet need for surveillance and guiding treatment selection in breast cancer. Detecting HER2 aberration in cell-free DNA (cfDNA) can allow repeated sampling and avoid effects from tumor heterogeneity of tissue biopsy. Previous approaches for HER2 status determination using liquid biopsy were mostly dependent on the detection of copy number changes in cfDNA, but the limited signal-to-noise ratio poses a great challenge to the accuracy and robustness of the tests. In this study, we identified a group of DNA methylation markers for determining HER2 status in cfDNA for breast cancer. Methods: Genome-wide DNA methylation sequencing was conducted in tissue (25 HER2-positive and 35 HER2-negative) and plasma (32 HER2-positive and 107 HER2-negative) samples to identify specific methylation markers for HER2 status. HER2-positive samples were defined by IHC 3+ and 2+ with FISH positive, while HER2-negative ones were IHC 0/1+ and 2+ with FISH negative. Candidate markers were verified in another two sets of plasma samples (1. 30 HER2-positive and 40 HER2-negative; 2. 33 HER2-positive and 53 HER2-negative) by using quantitative methylation-specific PCR (qMSP). The performance of the markers was estimated by the Wilcoxon test, receiver operating characteristic curve, and logistic regression modelling. Results: 36 HER2 status-specific markers were discovered from genome-wide DNA methylation sequencing. Based on the qMSP results, 11 markers were verified by the performance analyses. The individual area under the curve (AUC) of these markers was from 0.58 to 0.68. From logistic regression modelling and 2-fold cross-validation, a 7-marker diagnostic model was built and validated on plasma samples, with the highest AUC of 0.812. Conclusion: cfDNA methylation detection inferring HER2 overexpression is a novel and non-invasive option for monitoring HER2 status in breast cancer patients, with a potential application in response prediction of HER2-targeted treatments. Further validation of the test is undergoing in large multi-centre cohorts in China. Citation Format: Xianyu Zhang, Shiyao Lu, Hui Li, Xin Liu, Jun Wang, Liuhong Zeng, Zhipeng Lu, Siyu Liu, Yanling Yin, Marina Bibikova, Zhiwei Chen, Jian-Bing Fan, Da Pang. Liquid Biopsy for HER2 Status Assessment in Breast Cancer Using Surrogate DNA Methylation Markers [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P1-05-27.

Abstract BACKGROUNDIt has been reported that the sympathetic nervous system and associated neurotransmitters (NTs) play a pivotal role in driving breast cancer (BC) tumorigenesis and metastasis, however, comprehensive characterization of these pathways in BC is lacking. The purpose of this study was to retrospectively characterize NTs and neuronal signaling (NTNS) gene alterations in a large real-world BC cohort. METHODS A total of 6464 BC tumors were analyzed by next generation sequencing (NextSeq, 592 genes and WES, NovaSEQ, 720 genes) and whole transcriptome sequencing (WTS, NovaSeq) at Caris Life Sciences. Gene set variation analysis (GSVA) scores were calculated (positive: higher gene expressions in a selected gene set compared to genes outside that gene set in each tumor specimen, vice versa for negative) to assess expression of major NTNS genes, including GABA, nicotinic (NIC), muscarinic (MUS), dopamine (DA), reelin (RELN), and glial cell line-derived neurotrophic factor (GDNF). GSVA scores were compared by histologic subtype, primary or metastatic site, and hormone receptor (HR) and HER2 status with corrected Wilcoxon-Mann-Whitney testing. All significance levels were p<0.01. RESULTS The 6464 BC specimens in this cohort included 2520 primary sites and 3944 metastasis (mets) (liver: 1012; lymph node: 714; bone: 575; lung: 420; brain: 196). Predictive biomarker status in this cohort was HR+/HER2-: 3705; HR+/HER2+: 238; HR-/HER2+: 189; TNBC: 1654. Invasive ductal carcinomas (IDC) were the most common histologic subtype and demonstrated significantly higher GSVA scores for RELN and NIC pathways with respect to invasive lobular carcinomas (ILC) (Table). TNBC tumors had significantly higher enrichment overall (GABA, -0.04 vs -0.14; RELN, -0.05 vs -0.31; DA, -0.03 vs -0.08; MUS, 0.13 vs -0.16; NIC, 0.01 vs -0.12; and GDNF, 0.04 vs -0.04). HR-/HER2+ had significantly higher scores in GABA, -0.04 vs -0.14; RELN, -0.03 vs -0.31; MUS, 0.12 vs -0.16; and NIC, -0.01 vs -0.12 genes. Brain mets had significantly enriched pathway scores for GABA, 0.30 vs -0.13; MUS, 0.15 vs -0.08; and NIC, 0.13 vs -0.09 compared to primary tumors. Similarly, GABA,0.09 vs -0.13; DA, 0.07 vs -0.05; MUS, 0.17 vs -0.08; and NIC, 0.02 vs -0.09 pathways were enriched in bone mets compared to those from primary tumors. CONCLUSION Our results demonstrate that NTNS pathways are significantly enriched in IDC, TNBC tumors, and particularly in brain and bone mets. Our data advance the current understanding of the role of NTNS pathways in BC tumorigenesis and metastasis. Further investigation on genetic. determinants and signaling alternations associated with the observed NTNS pathway deregulation is warranted and could inform the development of novel therapeutic strategies. Significant comparisons with Bonferroni corrected p values are shown with an asterisk. Citation Format: Irene Kang, Krutika Deshpande, Sarah Persing, Jun Yin, Joanne Xiu, Wolfgang Michael Korn, Jia Zeng, Evanthia T Roussos-Torres, Janice Lu, Darcy Spicer, Stephen F Sener, Antoinette R Tan, Ashley Sumrall, David SB Hoon, Cynthia X Ma, Carey K Anders, Heather L McArthur, Reva Basho, Heinz-Josef Lenz, Josh Neman. Comprehensive characterization of neurotransmitters and neuronal signaling gene alterations in invasive breast cancers [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr PD6-06.

Проведена оценка динамики численности, внешнего вида клеток, флуоресценции хлоропласта и зеленой автофлуоресценции клеток (ЗАФ) динофлагелляты Prorocentrum foraminosum при воздействии тяжелых металлов: кадмия Cd2+, никеля Ni2+ и свинца Pb2+ в концентрациях 10 и 20 мкг/л. Показано, что все металлы в изученных концентрациях оказали ингибирующее влияние на численность клеток: наименьшее воздействие оказал Cd2+. Морфологически клетки не изменялись при воздействии Cd2+, Pb2+, а при добавлении Ni2+ отмечена деформация клеток. Флуоресценция хлоропласта изменялась при воздействии металлов, за исключением Cd2+. В целом, ЗАФ не изменялась при наличии в среде Cd2+, увеличивалась при добавлении Ni2+, снижалась – Pb2+. Предложено использовать ЗАФ для экспресс оценки токсичности веществ и качества вод. Список литературы Качество морских вод по гидрохимическим показателям. Ежегодник 2019. М: Наука, 2020. 230 с. Качество морских вод по гидрохимическим показателям. Ежегодник 2020. 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This paper presents some results of rainfall forecast in the monsoon onset period in South Vietnam, with the use of ensemble Kalman filter to assimilate observation data into the initial field of the model. The study of rainfall forecasts are experimented at the time of Southern monsoon outbreaks for 3 years (2005, 2008 and 2009), corresponding to 18 cases. In each case, there are five trials, including satellite wind data assimilation, upper-air sounding data assimilation, mixed data (satellite wind+upper-air sounding data) assimilation and two controlled trials (one single predictive test and one multi-physical ensemble prediction), which is equivalent to 85 forecasts for one trial. Based on the statistical evaluation of 36 samples (18 meteorological stations and 18 trials), the results show that Kalman filter assimilates satellite wind data to forecast well rainfall at 48 hours and 72 hours ranges. With 24 hour forecasting period, upper-air sounding data assimilation and mixed data assimilation experiments predicted better rainfall than non-assimilation tests. The results of the assessment based on the phase prediction indicators also show that the ensemble Kalman filter assimilating satellite wind data and mixed data sets improve the rain forecasting capability of the model at 48 hours and 72 hour ranges, while the upper-air sounding data assimilation test produces satisfactory results at the 72 hour forecast range, and the multi-physical ensemble test predicted good rainfall at 24 hour and 48 hour forecasts. The results of this research initially lead to a new research approach, Kalman Filter Application that assimilates the existing observation data into input data of the model that can improve the quality of rainfall forecast in Southern Vietnam and overall country in general.References Bui Minh Tuan, Nguyen Minh Truong, 2013. 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