Browsing by Author "Li, Xing"
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- ItemOpen AccessHydrological and water quality performance of newly constructed bioretention mesocosms(2020-09-24) Li, Xing; He, Jianxun; Valeo, Caterina; Chu, Angus; Veselinova, ElenaTo examine the effects of growing media, vegetation and other potential influential factors (including event magnitude, and media temperature and moisture) on bioretention performance, 24 bioretention mesocosms were constructed using three types of growing media and planted with three types of vegetation in 2017. As a part of the research project, this thesis used the field observations in 2018 to assess their hydrological and water quality performance and to identify the primary influential factors on bioretention performance in the first year of their operation. A series of 25 simulated events (of different magnitudes) were performed between June and October of 2018. On average, the mesocosms retained 16% of inflow while significant chemical leaching from all mesocosms was observed. Among the potential influential factors, the event magnitude and growing media were identified to be the most dominant factor affecting the hydrological and water quality performance of the bioretention mesocosms, respectively. Among the three types of growing media, the clay-loam (mixed with woodchips) media had lower water retention rate but leached less compared to other two types of growing media.
- ItemOpen AccessIntegrative analysis of clinicopathological features defines novel prognostic models for mantle cell lymphoma in the immunochemotherapy era: a report from The North American Mantle Cell Lymphoma Consortium(2023-12-16) Vose, Julie M.; Fu, Kai; Wang, Lu; Mansoor, Adnan; Stewart, Douglas; Cheng, Hongxia; Smith, Lynette; Yuan, Ji; Qureishi, Hina N.; Link, Brian K.; Cessna, Melissa H.; Barr, Paul M.; Kahl, Brad S.; Mckinney, Matthew S.; Khan, Nadia; Advani, Ranjana H.; Martin, Peter; Goy, Andre H.; Phillips, Tycel J.; Mehta, Amitkumar; Kamdar, Manali; Crump, Michael; Pro, Barbara; Flowers, Christopher R.; Jacobson, Caron A.; Smith, Sonali M.; Stephens, Deborah M.; Bachanova, Veronika; Jin, Zhaohui; Wu, Shishou; Hernandez-Ilizaliturri, Francisco; Torka, Pallawi; Anampa-Guzmán, Andrea; Kashef, Farshid; Li, Xing; Sharma, Sunandini; Greiner, Timothy C.; Armitage, James O.; Lunning, Matthew; Weisenburger, Dennis D.; Bociek, Robert G.; Iqbal, Javeed; Yu, Guohua; Bi, ChengfengAbstract Background Patients with mantle cell lymphoma (MCL) exhibit a wide variation in clinical presentation and outcome. However, the commonly used prognostic models are outdated and inadequate to address the needs of the current multidisciplinary management of this disease. This study aims to investigate the clinical and pathological features of MCL in the immunochemotherapy era and improve the prognostic models for a more accurate prediction of patient outcomes. Methods The North American Mantle Cell Lymphoma Project is a multi-institutional collaboration of 23 institutions across North America to evaluate and refine prognosticators for front-line therapy. A total of 586 MCL cases diagnosed between 2000 and 2012 are included in this study. A comprehensive retrospective analysis was performed on the clinicopathological features, treatment approaches, and outcomes of these cases. The establishment of novel prognostic models was based on in-depth examination of baseline parameters, and subsequent validation in an independent cohort of MCL cases. Results In front-line strategies, the use of hematopoietic stem cell transplantation was the most significant parameter affecting outcomes, for both overall survival (OS, p < 0.0001) and progression-free survival (PFS, p < 0.0001). P53 positive expression was the most significant pathological parameter correlating with inferior outcomes (p < 0.0001 for OS and p = 0.0021 for PFS). Based on the baseline risk factor profile, we developed a set of prognostic models incorporating clinical, laboratory, and pathological parameters that are specifically tailored for various applications. These models, when tested in the validation cohort, exhibited strong predictive power for survival and showed a stratification resembling the training cohort. Conclusions The outcome of patients with MCL has markedly improved over the past two decades, and further enhancement is anticipated with the evolution of clinical management. The innovative prognostic models developed in this study would serve as a valuable tool to guide the selection of more suitable treatment strategies for patients with MCL.