Literatura académica sobre el tema "Xihe Xian wei yuan hui"

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Artículos de revistas sobre el tema "Xihe Xian wei yuan hui"

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Gao, Yue, Chun-Jie Liu, Hua-Yi Li, Xiao-Ming Xiong, Sjors G. j. g. In ‘t Veld, Gui-Ling Li, Jia-Hao Liu et al. "Abstract LB168: Platelet RNA signature enables early and accurate detection of ovarian cancer: An intercontinental, biomarker identification study". Cancer Research 82, n.º 12_Supplement (15 de junio de 2022): LB168. http://dx.doi.org/10.1158/1538-7445.am2022-lb168.

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Abstract Background: Morpho-physiological alternations of platelets provided a rationale to harness RNA sequencing of tumor-educated platelets (TEPs) for preoperative diagnosis of cancer. Timely, accurate, and non-invasive detection of ovarian cancer in women with adnexal masses presents a significant clinical challenge. Patients and Methods: This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n=3; Netherlands, n=5; Poland, n=1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets. Results: The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. Analysis of public datasets suggested that TEPs had potential to detect multiple malignancies (Table 1). Conclusions: TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, early-stage ovarian cancer as well as other malignancies. However, these observations warrant prospective validations in a larger population before clinical utilities. Table 1. Performance for TEPs in public pan-cancer datasets. Disease n Healthy Control AUC, area under the curve (95% CI) Women NSCLC (non-small-cell lung cancer) 126 77 0.758 (0.691-0.825) Breast cancer 38 77 0.817 (0.726-0.909) Colorectal cancer 18 77 0.973 (0.945-1.000) Pancreatic cancer 16 77 0.993 (0.981-1.000) Glioblastoma 10 77 0.923 (0.831-1.000) Men NSCLC 119 82 0.746 (0.677-0.815) Colorectal cancer 25 82 0.933 (0.884-0.982) Pancreatic cancer 22 82 0.993 (0.984-1.000) Glioblastoma 19 82 0.981 (0.959-1.000) All NSCLC 245 159 0.774 (0.728-0.820) Colorectal cancer 40 159 0.978 (0.961-0.996) Breast cancer 38 159 0.821 (0.736-0.906) Pancreatic cancer 35 159 0.987 (0.974-0.999) Glioblastoma 35 159 0.931 (0.890-0.972) Hepatobiliary carcinomas 14 159 0.991 (0.978-1.000) Citation Format: Yue Gao, Chun-Jie Liu, Hua-Yi Li, Xiao-Ming Xiong, Sjors G.j.g. In ‘t Veld, Gui-Ling Li, Jia-Hao Liu, Guang-Yao Cai, Gui-Yan Xie, Shao-Qing Zeng, Yuan Wu, Jian-Hua Chi, Qiong Zhang, Xiao-Fei Jiao, Lin-Li Shi, Wan-Rong Lu, Wei-Guo Lv, Xing-Sheng Yang, Jurgen M.j. Piek, Cornelis D de Kroon, C.a.r. Lok, Anna Supernat, Sylwia Łapińska-Szumczyk, Anna Łojkowska, Anna J. Żaczek, Jacek Jassem, Bakhos A. Tannous, Nik Sol, Edward Post, Myron G. Best, Bei-Hua Kong, Xing Xie, Ding Ma, Thomas Wurdinger, An-Yuan Guo, Qing-Lei Gao. Platelet RNA signature enables early and accurate detection of ovarian cancer: An intercontinental, biomarker identification study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr LB168.
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Tesis sobre el tema "Xihe Xian wei yuan hui"

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Lau, Tan-king. "A preliminary analysis of the use of vocabulary in Chinese writings by Hong Kong primary 3 students Qian xi Xianggang xiao san xue sheng Zhong wen xie zuo de ci hui yun yong /". Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42926051.

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Libros sobre el tema "Xihe Xian wei yuan hui"

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"Zheng xie Mulan Xian wei yuan hui zhi " bian zuan wei yuan hui. Zheng xie Mulan Xian wei yuan hui zhi. Ha'erbin: Zheng xie Mulan Xian wei yuan hui ban gong shi, 2006.

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Li, Tiefang y Bianling Cheng. Zheng xie Yiyang Xian wei yuan hui zhi. 8a ed. [Yiyang Xian: Zheng xie Yiyang Xian wei yuan hui], 2003.

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Zheng xie Jiangxi Sheng Shangyou Xian wei yuan hui., ed. Shangyou xian zheng xie zhi. [Shangyou Xian: Zhongguo ren min zheng zhi xie shang hui yi Jiangxi Sheng Shangyou Xian wei yuan hui?], 1987.

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Zhongguo ren min zheng zhi xie shang hui yi. Xupu Xian wei yuan hui. Zheng xie wei yuan feng cai lu. Xupu Xian: Zheng xie Xupu Xian wei yuan hui, 1999.

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Zheng xie Guangdong sheng Conghua xian wei yuan hui. Conghua xian zheng xie zhi. [Conghua xian?: s.n.], 1990.

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"Pujiang Xian zheng xie zhi" bian zuan wei yuan hui. Pujiang Xian zheng xie zhi. [Xianggang]: Xianggang wen hui chu ban she you xian gong si, 2006.

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Zhejiang Sheng Chun'an Xian zheng xie zhi bian zuan wei yuan hui. Chun'an Xian zheng xie zhi. [Chun'an Xian: Zhejiang Sheng Chun'an Xian zheng xie zhi bian zuan wei yuan hui], 2004.

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Jieyang Xian zheng xie zhi bian zuan ling dao xiao zu. Jieyang Xian zheng xie zhi. [Jieyang Xian: Jieyang Xian zheng xie zhi bian zuan ling dao xiao zu], 1989.

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Zhongguo ren min zheng zhi xie shang hui yi. Jiangxi Sheng Xingguo Xian wei yuan hui. Zheng xie zhi bian zuan wei yuan hui., ed. Xingguo xian zheng xie zhi. [Xingguo Xian?: s.n., 1997.

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Zheng xie Fenghuang Xian wei yuan hui. Ban gong shi. Tong li ji shi: Fenghuang Xian zheng xie shi wu nian. [Fenghuang Xian: Zhongguo ren min zheng zhi xie shang hui yi Fenghuang Xian wei yuan hui ban gong shi, 1999.

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