Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Ya-jia GU"'
Autor:
Chao You, Guan-Hua Su, Xu Zhang, Yi Xiao, Ren-Cheng Zheng, Shi-Yun Sun, Jia-Yin Zhou, Lu-Yi Lin, Ze-Zhou Wang, He Wang, Yan Chen, Wei-Jun Peng, Yi-Zhou Jiang, Zhi-Ming Shao, Ya-Jia Gu
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-13 (2024)
Abstract Radiomics offers a noninvasive avenue for predicting clinicopathological factors. However, thorough investigations into a robust breast cancer outcome-predicting model and its biological significance remain limited. This study develops a rob
Externí odkaz:
https://doaj.org/article/d87dbe7b9d9b4b60a342ae62dcb16135
Autor:
Si-Wei Zhang, Han Wang, Xiao-Hong Ding, Yu-Ling Xiao, Zhi-Ming Shao, Chao You, Ya-Jia Gu, Yi-Zhou Jiang
Publikováno v:
Fundamental Research, Vol 3, Iss 6, Pp 1005-1024 (2023)
Immunotherapy has rejuvenated cancer therapy, especially after anti-PD-(L)1 came onto the scene. Among the many therapeutic options, therapeutic cancer vaccines are one of the most essential players. Although great progress has been made in research
Externí odkaz:
https://doaj.org/article/5340bc6bcccc463c91f6f401bcb2e251
Autor:
Guan-Hua Su, Yi Xiao, Lin Jiang, Ren-Cheng Zheng, He Wang, Yan Chen, Ya-Jia Gu, Chao You, Zhi-Ming Shao
Publikováno v:
Journal of Translational Medicine, Vol 20, Iss 1, Pp 1-12 (2022)
Abstract Background Tumor-infiltrating lymphocytes (TILs) have become a promising biomarker for assessing tumor immune microenvironment and predicting immunotherapy response. However, the assessment of TILs relies on invasive pathological slides. Met
Externí odkaz:
https://doaj.org/article/650dd5365e3543a4ac58eb4473bbd130
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 38, Iss 3, Pp 367-380 (2021)
Segmentation of whole breast and fibroglandular tissue (FGT) is an important task for quantitative analysis of breast cancer risk in dynamic contrast enhanced magnetic resonance (DCE-MR) images. In this study, an automated segmentation model based on
Externí odkaz:
https://doaj.org/article/a199c02b2a9f4c3abab2fa683df33974
Publikováno v:
American Journal of Roentgenology. 217:664-675
OBJECTIVE. The purpose of our study was to develop a radiomics model based on preoperative MRI and clinical information for predicting recurrence-free survival (RFS) in patients with advanced high-grade serous ovarian carcinoma (HGSOC). MATERIALS AND
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81c5c7d2e7f0d4378863449cb772965a
https://doi.org/10.2214/ajr.20.23195
https://doi.org/10.2214/ajr.20.23195
Autor:
Guan-Hua Su, Lin Jiang, Yi Xiao, Ren-Cheng Zheng, He Wang, Yi-Zhou Jiang, Wei-Jun Peng, Zhi-Ming Shao, Ya-Jia Gu, Chao You
Publikováno v:
Annals of surgical oncology. 29(11)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::917221ee7b4135a83cf4c60c6688de81
https://pubmed.ncbi.nlm.nih.gov/35711018
https://pubmed.ncbi.nlm.nih.gov/35711018
Autor:
Si-Wei Zhang, Han Wang, Xiao-Hong Ding, Yu-Ling Xiao, Zhi-Ming Shao, Chao You, Ya-Jia Gu, Yi-Zhou Jiang
Publikováno v:
Fundamental Research.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63bc281a6b5cd1ea64c9cbe5c287e99c
https://doi.org/10.1016/j.fmre.2022.03.009
https://doi.org/10.1016/j.fmre.2022.03.009
Autor:
Guan-Hua, Su, Lin, Jiang, Yi, Xiao, Ren-Cheng, Zheng, He, Wang, Yi-Zhou, Jiang, Wei-Jun, Peng, Zhi-Ming, Shao, Ya-Jia, Gu, Chao, You
Background: Homologous recombination (HR) is a key pathway in DNA double-strand damage repair. HR deficiency (HRD) more commonly occurs in triple-negative breast cancers (TNBCs) than in other breast cancer subtypes. Several clinical trials have demon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9282f666685d940229e60a7c4982ce55
https://doi.org/10.21203/rs.3.rs-1244930/v1
https://doi.org/10.21203/rs.3.rs-1244930/v1
Autor:
Lin Jiang, Chao You, Yi Xiao, He Wang, Guan-Hua Su, Bing-Qing Xia, Ren-Cheng Zheng, Dan-Dan Zhang, Yi-Zhou Jiang, Ya-Jia Gu, Zhi-Ming Shao
Publikováno v:
Cell reports. Medicine. 3(7)
Triple-negative breast cancer (TNBC) is a subset of breast cancer with an adverse prognosis and significant tumor heterogeneity. Here, we extract quantitative radiomic features from contrast-enhanced magnetic resonance images to construct a breast ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1dbba6c854151aabe978bde9a53c91b
https://pubmed.ncbi.nlm.nih.gov/35858585
https://pubmed.ncbi.nlm.nih.gov/35858585
Autor:
Qing Lin, Wei-Min Tan, Jing-Yu Ge, Yan Huang, Qin Xiao, Ying-Ying Xu, Yi-Ting Jin, Zhi-Ming Shao, Ya-Jia Gu, Bo Yan, Ke-Da Yu
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25d2a536cf34459f55ae0fe2225094d8
https://doi.org/10.2139/ssrn.4160041
https://doi.org/10.2139/ssrn.4160041