Landscape characterization of chimeric RNAs in colorectal cancer

2020 ◽  
Vol 489 ◽  
pp. 56-65 ◽  
Author(s):  
Hao Wu ◽  
Sandeep Singh ◽  
Zhongqiu Xie ◽  
Xiaorong Li ◽  
Hui Li
2013 ◽  
Vol 28 (3) ◽  
pp. 267-273 ◽  
Author(s):  
Marica Gemei ◽  
Rosa Di Noto ◽  
Peppino Mirabelli ◽  
Luigi Del Vecchio

In colorectal cancer, CD133+ cells from fresh biopsies proved to be more tumorigenic than their CD133– counterparts. Nevertheless, the function of CD133 protein in tumorigenic cells seems only marginal. Moreover, CD133 expression alone is insufficient to isolate true cancer stem cells, since only 1 out of 262 CD133+ cells actually displays stem-cell capacity. Thus, new markers for colorectal cancer stem cells are needed. Here, we show the extensive characterization of CD133+ cells in 5 different colon carcinoma continuous cell lines (HT29, HCT116, Caco2, GEO and LS174T), each representing a different maturation level of colorectal cancer cells. Markers associated with stemness, tumorigenesis and metastatic potential were selected. We identified 6 molecules consistently present on CD133+ cells: CD9, CD29, CD49b, CD59, CD151, and CD326. By contrast, CD24, CD26, CD54, CD66c, CD81, CD90, CD99, CD112, CD164, CD166, and CD200 showed a discontinuous behavior, which led us to identify cell type-specific surface antigen mosaics. Finally, some antigens, e.g. CD227, indicated the possibility of classifying the CD133+ cells into 2 subsets likely exhibiting specific features. This study reports, for the first time, an extended characterization of the CD133+ cells in colon carcinoma cell lines and provides a “dictionary” of antigens to be used in colorectal cancer research.


2020 ◽  
Vol 9 (10) ◽  
pp. 3313 ◽  
Author(s):  
Hemant Goyal ◽  
Rupinder Mann ◽  
Zainab Gandhi ◽  
Abhilash Perisetti ◽  
Aman Ali ◽  
...  

Globally, colorectal cancer is the third most diagnosed malignancy. It causes significant mortality and morbidity, which can be reduced by early diagnosis with an effective screening test. Integrating artificial intelligence (AI) and computer-aided detection (CAD) with screening methods has shown promising colorectal cancer screening results. AI could provide a “second look” for endoscopists to decrease the rate of missed polyps during a colonoscopy. It can also improve detection and characterization of polyps by integration with colonoscopy and various advanced endoscopic modalities such as magnifying narrow-band imaging, endocytoscopy, confocal endomicroscopy, laser-induced fluorescence spectroscopy, and magnifying chromoendoscopy. This descriptive review discusses various AI and CAD applications in colorectal cancer screening, polyp detection, and characterization.


2016 ◽  
Author(s):  
N. V. Yunusova ◽  
S. N. Tamkovich ◽  
M. N. Stakheeva ◽  
S. G. Afanas’ev ◽  
A. Y. Frolova ◽  
...  

2013 ◽  
Vol 12 (6) ◽  
pp. 1602-1620 ◽  
Author(s):  
Rodrigo Barderas ◽  
Marta Mendes ◽  
Sofia Torres ◽  
Rubén A. Bartolomé ◽  
María López-Lucendo ◽  
...  

2015 ◽  
Vol 159 (1) ◽  
pp. 133-140 ◽  
Author(s):  
Yoshiro Itatani ◽  
Masahiro Sonoshita ◽  
Fumihiko Kakizaki ◽  
Katsuya Okawa ◽  
Stefano Stifani ◽  
...  

Author(s):  
Melissa C. Kordahi ◽  
Ian B. Stanaway ◽  
Marion Avril ◽  
Denise Chac ◽  
Marie-Pierre Blanc ◽  
...  

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