scholarly journals Development and validation of a preoperative prediction model for colorectal cancer T-staging based on MDCT images and clinical information

Oncotarget ◽  
2017 ◽  
Vol 8 (33) ◽  
pp. 55308-55318 ◽  
Author(s):  
Sha Sa ◽  
Jing Li ◽  
Xiaodong Li ◽  
Yongrui Li ◽  
Xiaoming Liu ◽  
...  
2010 ◽  
Vol 34 (5) ◽  
pp. 534-541 ◽  
Author(s):  
Enbo Ma ◽  
Shizuka Sasazuki ◽  
Motoki Iwasaki ◽  
Norie Sawada ◽  
Manami Inoue

Surgery ◽  
2017 ◽  
Vol 161 (4) ◽  
pp. 1049-1057 ◽  
Author(s):  
Elizabeth A. Bailey ◽  
Rebecca L. Hoffman ◽  
Christopher Wirtalla ◽  
Giorgos Karakousis ◽  
Rachel R. Kelz

2019 ◽  
Vol 91 (2) ◽  
pp. 348-355
Author(s):  
QingAn Yu ◽  
KunPeng Liu ◽  
ChangMing Xie ◽  
DaKun Ma ◽  
YaoHua Wu ◽  
...  

2020 ◽  
Vol 123 (10) ◽  
pp. 1474-1480
Author(s):  
Thomas E. Cowling ◽  
Alexis Bellot ◽  
Jemma Boyle ◽  
Kate Walker ◽  
Angela Kuryba ◽  
...  

2019 ◽  
Vol 25 ◽  
pp. 1709-1717 ◽  
Author(s):  
Xiaoliang Huang ◽  
Jungang Liu ◽  
Guo Wu ◽  
Shaomei Chen ◽  
Franco Jeen Pc ◽  
...  

2021 ◽  
pp. 1-6
Author(s):  
Ben Kang ◽  
Hyun Seok Lee ◽  
Seong Woo Jeon ◽  
Soo Yeun Park ◽  
Gyu Seog Choi ◽  
...  

BACKGROUND: Colorectal cancer (CRC) is one of the leading causes of mortality and morbidity in the world. It is characterized by different pathways of carcinogenesis and is a heterogeneous disease with diverse molecular landscapes that reflect histopathological and clinical information. Changes in the DNA methylation status of colon epithelial cells have been identified as critical components in CRC development and appear to be emerging biomarkers for the early detection and prognosis of CRC. OBJECTIVE: To explore the underlying disease mechanisms and identify more effective biomarkers of CRC. METHODS: We compared the levels and frequencies of DNA methylation in 11 genes (Alu, APC, DAPK, MGMT, MLH1, MINT1, MINT2, MINT3, p16, RGS6, and TFPI2) in colorectal cancer and its precursor adenomatous polyp with normal tissue of healthy subjects using pyrosequencing and then evaluated the clinical value of these genes. RESULTS: Aberrant methylation of Alu, MGMT, MINT2, and TFPI2 genes was progressively accumulated during the normal-adenoma-carcinoma progression. Additionally, CGI methylation occurred either as an adenoma-associated event for APC, MLH1, MINT1, MINT31, p16, and RGS6 or a tumor-associated event for DAPK. Moreover, relatively high levels and frequencies of DAPK, MGMT, and TFPI2 methylation were detected in the peritumoral nonmalignant mucosa of cancer patients in a field-cancerization manner, as compared to normal mucosa from healthy subjects. CONCLUSION: This study identified several biomarkers associated with the initiation and progression of CRC. As novel findings, they may have important clinical implications for CRC diagnostic and prognostic applications. Further large-scale studies are needed to confirm these findings.


Sign in / Sign up

Export Citation Format

Share Document