scholarly journals Immune cell concentrations among the primary tumor microenvironment in colorectal cancer patients predicted by clinicopathologic characteristics and blood indexes

Author(s):  
Guifang Guo ◽  
Yixing Wang ◽  
Yixin Zhou ◽  
Qi Quan ◽  
Yijun Zhang ◽  
...  
2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Tatsuya Usui ◽  
Masashi Sakurai ◽  
Shuhei Enjoji ◽  
Hideyoshi Kawasaki ◽  
Koji Umata ◽  
...  

Tumor microenvironment has been implicated in tumor development and progression. As a three-dimensional tumor microenvironment model, air liquid interface (ALI) organoid culture from oncogene transgenic mouse gastrointestinal tissues was recently produced. However, ALI organoid culture system from tissues of colorectal cancer patients has not been established. Here, we developed an ALI organoid model from normal and tumor colorectal tissues of human patients. Both organoids were successfully generated and showed cystic structures containing an epithelial layer and surrounding mesenchymal stromal cells. Structures of tumor organoids closely resembled primary tumor epithelium. Expression of an epithelial cell marker, E-cadherin, a goblet cell marker, MUC2, and a fibroblast marker, vimentin, but not a myofibroblast marker, α-smooth muscle actin (SMA), was observed in normal organoids. Expression of E-cadherin, MUC2, vimentin, and α-SMA was observed in tumor organoids. Expression of a cancer stem cell marker, LGR5 in tumor organoids, was higher than that in primary tumor tissues. Tumor organoids were more resistant to toxicity of 5-fluorouracil and Irinotecan than colorectal cancer cell lines, SW480, SW620, and HCT116. These findings indicate that ALI organoid culture from colorectal cancer patients may become a novel model that is useful for examining resistance to chemotherapy in tumor microenvironment.


2018 ◽  
Vol 35 (12) ◽  
Author(s):  
Justyna Gil ◽  
David Ramsey ◽  
Pawel Pawlowski ◽  
Elzbieta Szmida ◽  
Przemyslaw Leszczynski ◽  
...  

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e15545-e15545
Author(s):  
Honghua Peng ◽  
Tianhao Mu ◽  
Yaping Sheng ◽  
Yingmei Li ◽  
Peiguo Cao

e15545 Background: Hepatic metastasis is the most common site of distant spread from colorectal cancer. About 15-25% patients with colorectal cancer harbors hepatic metastasis. The molecular mechanism and predicting biomarkers in colorectal cancer are still not fully understood. Methods: 57 Chinese colorectal cancer patients were enrolled in a cohort study. Samples of primary tumor were collected in these patients and underwent whole exome sequencing. Mutation profiles of primary tumors between the patients with metastasis and those without metastasis were analyzed and compared. Results: In the cohort, 54.4% (31/57) patients presented hepatic metastasis at the time of diagnosis, while 45.6% (26/57) did not. The patients were divided into 2 groups—with hepatic metastasis and without hepatic metastasis. The mutation landscape of primary tumor indicated that the Top 3 most frequently mutated genes of both groups were the same and presented mutated TP53, APC, and KRAS. 2. Interestingly, compared with the patients without hepatic metastasis, the patients with hepatic metastasis presented a higher frequency of mutated TCF7L2 (35.5% vs 3.85%) and TRIM77 (16.1% vs 0%). Moreover, in the patients with hepatic metastasis, the patients with TRIM77 mutation in primary tumor showed a worse overall survival (p < 0.0001). Conclusions: TCF7L2 and TRIM77 may be identified as potential candidate predicting biomarkers for hepatic metastasis in colorectal patients. In addition, mutated TRIM 77 predicted a poor overall survival in hepatic metastasis from colorectal cancer.


Author(s):  
Phillip M. Kemp Bohan ◽  
Robert C. Chick ◽  
Annelies T. Hickerson ◽  
Lynn M. Messersmith ◽  
Grant M. Williams ◽  
...  

2018 ◽  
Vol 15 (14) ◽  
pp. 1640-1647
Author(s):  
Xiaona Cai ◽  
Dianna Gu ◽  
Mengfeng Chen ◽  
Linger Liu ◽  
Didi Chen ◽  
...  

2020 ◽  
Vol 9 (14) ◽  
pp. 5221-5234
Author(s):  
Matilda Holm ◽  
Sakari Joenväärä ◽  
Mayank Saraswat ◽  
Tiialotta Tohmola ◽  
Ari Ristimäki ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document