Host expression of matrix metalloproteinase-2 and tissue inhibitor of metalloproteinase-2 in normal colon tissue affects metastatic potential of colorectal cancer

1999 ◽  
Vol 42 (3) ◽  
pp. 393-397 ◽  
Author(s):  
Hideki Masuda ◽  
Hisayuki Aoki
Keyword(s):  
Colorectal Cancer ◽  
Matrix Metalloproteinase ◽  
Metastatic Potential ◽  
Tissue Inhibitor Of Metalloproteinase ◽  
Matrix Metalloproteinase 2 ◽  
Normal Colon ◽  
Tissue Inhibitor ◽  
Colon Tissue ◽  
Normal Colon Tissue

scholarly journals Prognostic values of matrix metalloproteinase-2 and tissue inhibitor of metalloproteinase-2 expression in bladder cancer

Cancer ◽  
1998 ◽  
Vol 82 (7) ◽  
pp. 1359-1366 ◽  
Author(s):  
Hiro-omi Kanayama ◽  
Kin-ya Yokota ◽  
Yasushi Kurokawa ◽  
Yoshihide Murakami ◽  
Masaaki Nishitani ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Matrix Metalloproteinase ◽  
Tissue Inhibitor Of Metalloproteinase ◽  
Matrix Metalloproteinase 2 ◽  
Tissue Inhibitor

scholarly journals Genotype-Based Gene Expression in Colon Tissue—Prediction Accuracy and Relationship with the Prognosis of Colorectal Cancer Patients

2020 ◽  
Vol 21 (21) ◽  
pp. 8150
Author(s):  
Heike Deutelmoser ◽  
Justo Lorenzo Bermejo ◽  
Axel Benner ◽  
Korbinian Weigl ◽  
Hanla A. Park ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Prediction Accuracy ◽  
Inverse Association ◽  
Normal Colon ◽  
Colon Tissue ◽  
Normal Colon Tissue ◽  
Study Population ◽  
The Uk ◽  
Colorectal Cancer Patients

Colorectal cancer (CRC) survival has environmental and inherited components. The expression of specific genes can be inferred based on individual genotypes—so called expression quantitative trait loci. In this study, we used the PrediXcan method to predict gene expression in normal colon tissue using individual genotype data from 91 CRC patients and examined the correlation ρ between predicted and measured gene expression levels. Out of 5434 predicted genes, 58% showed a negative ρ value and only 16% presented a ρ higher than 0.10. We subsequently investigated the association between genotype-based gene expression in colon tissue for genes with ρ > 0.10 and survival of 4436 CRC patients. We identified an inverse association between the predicted expression of ARID3B and CRC-specific survival for patients with a body mass index greater than or equal to 30 kg/m2 (HR (hazard ratio) = 0.66 for an expression higher vs. lower than the median, p = 0.005). This association was validated using genotype and clinical data from the UK Biobank (HR = 0.74, p = 0.04). In addition to the identification of ARID3B expression in normal colon tissue as a candidate prognostic biomarker for obese CRC patients, our study illustrates the challenges of genotype-based prediction of gene expression, and the advantage of reassessing the prediction accuracy in a subset of the study population using measured gene expression data.

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