Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Linling Xie"'
Autor:
Shiya Huang, Xueqian Huang, Xiaohui Wen, Xuehong Liu, Hongxia Ma, Linling Xie, Yishu Wang, Shanjia Liu, Yongge Guan, Kunyin Li
Publikováno v:
Gynecological Endocrinology, Vol 40, Iss 1 (2024)
AbstractObjectives The objective of this study was to investigate the glycolytic activity of adenomyosis, which is characterized by malignant biological behaviors including abnormal cell proliferation, migration, invasion, cell regulation, and epithe
Externí odkaz:
https://doaj.org/article/ccad501a9f5948c98c8497da7134fc9a
Publikováno v:
BMC Cancer, Vol 20, Iss 1, Pp 1-17 (2020)
Abstract Background Sphingosine-1-phosphate receptor (S1PR1) is involved in vascular development, a key process in tumorigenesis. This study aimed to evaluate its roles in tumor development and prognosis. Methods S1PR1 expression levels were analyzed
Externí odkaz:
https://doaj.org/article/3a89fd84f9c74064abd3f7ebf77b320b
Autor:
Linling, Xie, Meijun, Pan, Zhaoping, Zhang, Xiaotao, Jiang, Yi, Chen, Guantong, Liu, Yanfen, Chen, Yuhua, Zeng, Jieshan, Guan, Ruling, Lu, Lei, Zeng
Publikováno v:
Recent Patents on Anti-Cancer Drug Discovery. 18:161-173
Background: The high heterogeneity of ovarian cancer (OC) brings great difficulties to its early diagnosis and prognostic forecast. It is an urgent need to establish a prognostic model of OC based on clinicopathological features and genomics. Methods
Autor:
Fengbin Liu, Qiaofeng Yan, Xingrui Yan, Yuancheng Huang, Yanhua Yan, Jinglin Pan, Zhihua Zheng, Shuting Tang, Kunhai Zhuang, Xuan Chen, Yi Wen, Xiaotao Jiang, Peiwu Li, Peng Liu, Jiahua Huang, Linling Xie, Junhui Zheng, Kailin Jiang, Shijie Xu, Yushan Zou, Kechao Nie
Publikováno v:
Journal of Oncology, Vol 2021 (2021)
Journal of Oncology
Journal of Oncology
Background. Gastric cancer (GC), an extremely aggressive tumor with a very different prognosis, is the third leading cause of cancer-related mortality. We aimed to construct a ferroptosis-related prognostic model that can be distinguished prognostica
Autor:
Lei Zeng, Cihui Huang, Guantong Liu, Yanfen Chen, Wenxi Sun, Xiaotao Jiang, Yi Chen, Ruling Lu, Linling Xie
Publikováno v:
Combinatorial chemistryhigh throughput screening. 25(8)
Background: Polycystic ovary syndrome (PCOS) is a common endocrine disease in women that seriously interferes with patient's metabolic and reproductive functions. The current diagnostic criteria for PCOS are expert-based and still disputed. Previous
Autor:
Xiaotao Jiang, Kunhai Zhuang, Kailin Jiang, Yi Wen, Linling Xie, Weng Senhui, Chen Xu, Kechao Nie, Zhihua Zheng, Jinglin Pan, Yanhua Yan, Peng Liu, Junhui Zheng, Yuancheng Huang, Yufeng Liu, Peiwu Li, Fengbin Liu
Background: With the coming of immunotherapy era, immunotherapy is gradually playing a vital role in the treatment of gastric cancer (GC). However, immune microenvironment in gastric precancerous lesions (GPL) and early gastric cancer (EGC) still rem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3181b63794ff828e1c0c5137e8643e3c
https://doi.org/10.21203/rs.3.rs-88936/v1
https://doi.org/10.21203/rs.3.rs-88936/v1
Publikováno v:
BMC Cancer
BMC Cancer, Vol 20, Iss 1, Pp 1-17 (2020)
BMC Cancer, Vol 20, Iss 1, Pp 1-17 (2020)
Background Sphingosine-1-phosphate receptor (S1PR1) is involved in vascular development, a key process in tumorigenesis. This study aimed to evaluate its roles in tumor development and prognosis. Methods S1PR1 expression levels were analyzed using TI
Additional file 2: Table S1. Correlations between S1PR1 and related genes and markers, as evaluated using GEPIA.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d77dc552dae54ba0ba43c2ee9dab7d4
Additional file 1: Figure S1. Prognostic potential of S1PR1 in different cancers. (a–c) Kaplan-Meier survival curves comparing the high and low expression of S1PR1 in soft tissue cancer (a), blood cancer (b), and brain cancer (c) in the PrognoScan.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::695288bc78f8202b5d1ba130c932c4f0
Background China has the world's largest elderly population, as well as the largest population of disabled elderly. Existing literature shows that there have been increased efforts to develop intelligent robots to address the shortage of caregivers f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d0332ca1dafc8b760e6d7f93c30091e
https://doi.org/10.21203/rs.2.17062/v1
https://doi.org/10.21203/rs.2.17062/v1