Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yuting Xiu"'
Autor:
Cong Jiang, XueFang Zhang, Tong Qu, Xinxin Yang, Yuting Xiu, Xiao Yu, Shiyuan Zhang, Kun Qiao, Hongxue Meng, Xuelian Li, Yuanxi Huang
Publikováno v:
Translational Oncology, Vol 46, Iss , Pp 101985- (2024)
Background: Limited studies have investigated the predictive value of multiomics signatures (radiomics, deep learning features, pathological features and DLG3) in breast cancer patients who underwent neoadjuvant chemotherapy (NAC). However, no study
Externí odkaz:
https://doaj.org/article/4892969d96fd4c3fb51c62efdfa99b20
Autor:
Wenting Zhang MM, Hong Yu MM, Yuting Xiu MM, Fanxu Meng MD, Zhuo Wang MM, Kangkang Zhao MM, Yunlong Wang MM, Zhishen Chen MM, Juntian Liu MM, Jie Chen MM, Baosheng Sun MD
Publikováno v:
Technology in Cancer Research & Treatment, Vol 23 (2024)
Objective: Since the update of the 2018 International Federation of Gynecology and Obstetrics (FIGO) staging criteria, there have been few reports on the prognosis of stage III C cervical cancer. Moreover, some studies have drawn controversial conclu
Externí odkaz:
https://doaj.org/article/0de02c6f38124130bf6fd207862a18b1
Publikováno v:
World Journal of Surgical Oncology, Vol 21, Iss 1, Pp 1-16 (2023)
Abstract Background Develop the best machine learning (ML) model to predict nonsentinel lymph node metastases (NSLNM) in breast cancer patients. Methods From June 2016 to August 2022, 1005 breast cancer patients were included in this retrospective st
Externí odkaz:
https://doaj.org/article/813df517b37e4272a4d2ea9e8ebcd568
Publikováno v:
BMC Cancer, Vol 22, Iss 1, Pp 1-15 (2022)
Abstract Background and purpose The modified systemic inflammation score (mSIS) system, which is constructed based on the neutrophil to lymphocyte ratio (NLR) and albumin (Alb), has not been applied to evaluate the prognosis of malignant breast cance
Externí odkaz:
https://doaj.org/article/0627bd905d8f46a1aec96755069f7ce4
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
AbstractBackground and purpose: Machine learning (ML) is applied for outcome prediction and treatment support. This study aims to develop different ML models to predict risk of axillary lymph node metastasis (LNM) in breast invasive micropapillary ca
Externí odkaz:
https://doaj.org/article/523f5c93f2db4aacb0c3b3cbf8c4aacd
Publikováno v:
Disease Markers. 2022:1-29
Background. It has been demonstrated that inflammatory and nutritional variables are associated with poor breast cancer survival. However, some studies do not include these variables due to missing data. To investigate the predictive potential of the
Publikováno v:
IEEE Transactions on Network and Service Management. :1-1
Publikováno v:
Clinical breast cancer. 22(5)
It has been reported that the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR), as well as systemic inflammation response index (SIRI), are closely related with overall survival (OS) in b
Autor:
Cong Jiang, Shiyuan Zhang, Kun Qiao, Yuting Xiu, Xiao Yu, Yuanxi Huang, Jiang, Cong, Zhang, Shiyuan, Qiao, Kun, Xiu, Yuting, Yu, Xiao, Huang, Yuanxi
Publikováno v:
Clinical Breast Cancer; Jul2022, Vol. 22 Issue 5, p424-438, 15p
Autor:
Baosheng Sun, Yongli Jiang, Shilong Sun, Linlin Liu, Aifu Wang, Yuting Xiu, Mingmei Huangfu, Ying Liu
Publikováno v:
Genetic Testing and Molecular Biomarkers. 22:384-389
Tumor-associated antigen overexpression, which has been reported in many types of cancers, may trigger autoantibody secretion. The present study was designed to test whether levels of circulating autoantibodies to survivin protein-derived antigens is