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您的检索式：作者名="Yiling LOU"
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| 1 | Clinical characteristics and prognostic values of 1p32.3 deletion detected through fluorescence in situ hybridization in patients with newly diagnosed multiple myeloma: a single-center study in China显示文摘This study aimed to investigate the prevalence,clinical characteristics,and prognostic impact of 1p32.3 deletion in patients with newly diagnosed multiple myeloma (MM).A retrospective analysis was conducted on 411 patients with newly diagnosed MM;among which,270 received bortezomib-based therapies,and 141 received thalidomide-based therapies.Fluorescence in situ hybridization (FISH) was performed to detect six cytogenetic abnormalities,namely,del(1p32.3),gain(1q21),del(17p13),del(13q14),t(4;14),and t(11;14).Results showed that 8.3% of patients with MM were detected with del(1p32.3) and had significantly more bone marrow plasma cells (P =0.025),higher β2-microglobulin levels (P =0.036),and higher lactate dehydrogenase levels (P =0.042) than those without del(1p32.3).Univariate analysis showed that patients with del(1p32.3) under thalidomide-based therapies were strongly associated with short progression-free survival (PFS) (median PFS 11.6 vs.31.2 months,P =0.002) and overall survival (OS) (median OS 16.8 vs.45.9 months,P < 0.001).Multivariate analysis revealed that del(1p32.3) remained a powerful independent factor with worse PFS (P =0.006) and OS (P =0.016) for patients under thalidomide-based treatments.Patients with del(1 p32.3) under bortezomib-based treatments tended to have short PFS and OS.In conclusion,del(1p32.3) is associated with short PFS and OS in patients with MM who received thalidomide-or bortezomib-based treatments. | Huanping Wang Haitao Meng Jinghan Wang Yinjun Lou Yile Zhou Peipei Lin Fenglin Li Lin Liu Huan Xu Min Yang Jie Jin | 2020 | Frontiers of Medicine2020，14，3： | 2 |
| 2 | What can we learn from quality assurance badges in open-source software?显示文摘In the development of open-source software(OSS),many developers use badges to give an overview of the software and share some key features/metrics conveniently.Among various badges,quality assurance(QA)badges make up a large proportion and are the most prevalent because QA is of vital importance in software development,and ineffective QA may lead to anomalies or defects.In this paper,we focus on QA badges in open-source projects,which present quality assurance information directly and instantly,and aim to produce some interesting findings and provide practical implications.We collect and analyze 100000 projects written in popular programming languages from GitHub and conduct a comprehensive empirical study both inside and outside QA badges.Inside QA badges,we build a category classification for all QA badges based on the properties they focus on,which shows the types of QA badges developers use.Then,we analyze the frequency of the properties that QA badges focus on,and property combinations,too,which present their use status.We find that QA badges focus on various properties while developers give different preferences to different properties.The use status also differs between different programming languages.For example,projects written in C focus on Security to a great extent.Our findings also provide implications for developers and badge providers.Outside QA badges,we conduct a correlation analysis between QA badges and some software metrics that have potential relationships with code quality,contribution quality,and popularity.We find that QA badges have statistically significant correlations with various software metrics. | Feng LI Yiling LOU Xin TAN Zhenpeng CHEN Jinhao DONG Yang LI Xuanzhi WANG Dan HAO Lu ZHANG | 2024 | Science China(Information Sciences)2024，67，4： | 0 |
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