Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Dalong Wan"'
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e47210 (2023)
BackgroundLiver cancer incidence has been increasing in China in the recent years, leading to increased public concern regarding the burden of this disease. Short videos on liver cancer are disseminated through TikTok and Bilibili apps, which have ga
Externí odkaz:
https://doaj.org/article/03a142e4fbb14dadb03a7ca267208ad3
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 6, Iss 1, Pp 1-24 (2021)
Abstract The extracellular matrix (ECM) is one of the major components of tumors that plays multiple crucial roles, including mechanical support, modulation of the microenvironment, and a source of signaling molecules. The quantity and cross-linking
Externí odkaz:
https://doaj.org/article/667ad3620dca4d3db49ba213c192ee03
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundTumor-infiltrating immune cells are important components of tumor microenvironment (TME), and their composition reflects the confrontation between host immune system and tumor cells. However, the relationship between the composition of infi
Externí odkaz:
https://doaj.org/article/d302ec90e6af4b8cacc15a99c6eeee3c
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundPancreatic cancer is one of the principal causes of tumor-related death worldwide. CXC chemokines, a subfamily of functional chemotactic peptides, affect the initiation of tumor cells and clinical outcomes in several human malignant tumors.
Externí odkaz:
https://doaj.org/article/f15943e97f564d4abc26e939c4c995e1
Autor:
Wenjie Liang, Jiayuan Shao, Weihai Liu, Shijian Ruan, Wuwei Tian, Xiuming Zhang, Dalong Wan, Qiang Huang, Yong Ding, Wenbo Xiao
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Background: We conduct a study in developing and validating two radiomics-based models to preoperatively distinguish hepatic epithelioid angiomyolipoma (HEAML) from hepatic carcinoma (HCC) as well as focal nodular hyperplasia (FNH).Methods: Totally,
Externí odkaz:
https://doaj.org/article/c852e40adb9542779f25da200df0063f
Publikováno v:
Frontiers in Medicine, Vol 7 (2020)
As the most prevalent type of mRNA modification in mammals, N6-methyladenosine (m6A) is involved in various biological processes. Accumulating studies have indicated that the deregulation of m6A RNA modification is linked to cancer and other diseases
Externí odkaz:
https://doaj.org/article/2462e38d81ea424a9367759df186a61d
Autor:
Xiuming Zhang, Shijian Ruan, Wenbo Xiao, Jiayuan Shao, Wuwei Tian, Weihai Liu, Zhao Zhang, Dalong Wan, Jiacheng Huang, Qiang Huang, Yunjun Yang, Hanjin Yang, Yong Ding, Wenjie Liang, Xueli Bai, Tingbo Liang
Publikováno v:
Clinical and Translational Medicine, Vol 10, Iss 2, Pp n/a-n/a (2020)
Abstract Background The present study constructed and validated the use of contrast‐enhanced computed tomography (CT)‐based radiomics to preoperatively predict microvascular invasion (MVI) status (positive vs negative) and risk (low vs high) in p
Externí odkaz:
https://doaj.org/article/d42ee7728c544c89a3040eb7d771905f
Publikováno v:
World Journal of Surgical Oncology, Vol 16, Iss 1, Pp 1-8 (2018)
Abstract Background Splenosis is the heterotopic autotransplantation and implantation of splenic tissue after splenic trauma or splenectomy. Considering that splenosis often occurs in the mesentery, omentum, and peritoneum, intrahepatic splenosis has
Externí odkaz:
https://doaj.org/article/98fee29d353e4268ab786bbf7c7ea9a3
Autor:
Wenjie Liang, Lei Xu, Pengfei Yang, Lele Zhang, Dalong Wan, Qiang Huang, Tianye Niu, Feng Chen
Publikováno v:
Frontiers in Oncology, Vol 8 (2018)
Introduction: The emerging field of “radiomics” has considerable potential in disease diagnosis, pathologic grading, prognosis evaluation, and prediction of treatment response. We aimed to develop a novel radiomics nomogram based on radiomics fea
Externí odkaz:
https://doaj.org/article/9d89b3faf6cc4bbf90cec80cbe7337bb
Autor:
Tianye Niu, Yu Kuang, Yao Lu, Qiang Huang, Dalong Wan, Lele Zhang, Weihai Liu, Jiawei Wang, Lei Xu, Rui Huang, Pengfei Yang, Wenjie Liang
Figure S1. The recruitment pathway in this study. Table S1. Clinical characteristics of patients with pNETs in the training and validation set. Figure S2. Schematic of the undecimated three-dimensional wavelet transform applied to each CT image. Tabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47a0cff68acd7398d03d5d7c3e4b6578
https://doi.org/10.1158/1078-0432.22475156.v1
https://doi.org/10.1158/1078-0432.22475156.v1
