Author: Reinhold WC, Reimers MA, Lorenzi P, Ho J, Shankavaram UT, Ziegler MS, Bussey KJ, Nishizuka S, Ikediobi O, Pommier YG, Weinstein JN
Journal: Mol Cancer Ther
Affiliation: Authors' Affiliations: 1Laboratory of Molecular Pharmacology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; 2Virginia Commonwealth University, Richmond, Virginia; 3Department of Bioinformatics and Computational Biology and Department of Systems Biology, M. D. Anderson Cancer Center, Houston, Texas; 4Radiation Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland; 5Clinical Translational Research Division, Translational Genomics Research Institute, Phoenix, Arizona; 6Department of Surgery, Iwate Medical University, School of Medicine, Uchimaru, Japan; and 7Helen Diller Family Comprehensive Cancer Center, San Francisco, California.
E-cadherin (E-cad) is an adhesion molecule associated with tumor invasion and metastasis. Its down-regulation is associated with poor prognosis for many epithelial tumor types. more...
E-cadherin (E-cad) is an adhesion molecule associated with tumor invasion and metastasis. Its down-regulation is associated with poor prognosis for many epithelial tumor types. We have profiled E-cad in the NCI-60 cancer cell lines at the DNA, RNA, and protein levels using six different microarray platforms plus bisulfite sequencing. Here we consider the effects on E-cad expression of eight potential regulatory factors: E-cad promoter DNA methylation, the transcript levels of six transcriptional repressors (SNAI1, SNAI2, TCF3, TCF8, TWIST1, and ZFHX1B), and E-cad DNA copy number. Combined bioinformatic and pharmacological analyses indicate the following ranking of influence on E-cad expression: (1) E-cad promoter methylation appears predominant, is strongly correlated with E-cad expression, and shows a 20% to 30% threshold above which E-cad expression is silenced; (2) TCF8 expression levels correlate with (-0.62) and predict (P < 0.00001) E-cad expression; (3) SNAI2 and ZFHX1B expression levels correlate positively with each other (+0.83) and also correlate with (-0.32 and -0.30, respectively) and predict (P = 0.03 and 0.01, respectively) E-cad expression; (4) TWIST1 correlates with (-0.34) but does not predict E-cad expression; and (5) SNAI1 expression, TCF3 expression, and E-cad DNA copy number do not correlate with or predict E-cad expression. Predictions of E-cad regulation based on the above factors were tested and verified by demethylation studies using 5-aza-2'-deoxycytidine treatment; siRNA knock-down of TCF8, SNAI2, or ZFHX1B expression; and combined treatment with 5-aza-2'-deoxycytidine and TCF8 siRNA. Finally, levels of cellular E-cad expression are associated with levels of cell-cell adhesion and response to drug treatment. Mol Cancer Ther; 9(1); 1-16. less...
| Gene | Disease | Drug | Processes | Categories |
|---|
- ZEB1_HUMAN
- ZEB2_HUMAN
- SNAI2_HUMAN
- SNAI1_HUMAN
- TWST1_HUMAN
- CADH1_HUMAN
- TFE2_HUMAN
| - Neoplasms, Glandular and Epithelial
| | - DNA Methylation
- methylation
- demethylation
- cell-cell adhesion
- response to drug
| - Disease Mechanisms
- Protein/Gene relationships
- Drug based Studies
- Protein/Gene Functional studies
|
Its down-regulation is associated with poor prognosis for many epithelial tumor types.
| Gene | Disease | Drug | Processes | Categories |
|---|
| - Neoplasms, Glandular and Epithelial
| | | |
Here we consider the effects on E-cad expression of eight potential regulatory factors: E-cad promoter DNA methylation, the transcript levels of six transcriptional repressors (SNAI1, SNAI2, TCF3, TCF8, TWIST1, and ZFHX1B), and E-cad DNA copy number.
| Gene | Disease | Drug | Processes | Categories |
|---|
- ZEB1_HUMAN
- ZEB2_HUMAN
- SNAI2_HUMAN
- SNAI1_HUMAN
- TWST1_HUMAN
- TFE2_HUMAN
| | | | - Protein/Gene relationships
|
Combined bioinformatic and pharmacological analyses indicate the following ranking of influence on E-cad expression: (1) E-cad promoter methylation appears predominant, is strongly correlated with E-cad expression, and shows a 20% to 30% threshold above which E-cad expression is silenced; (2) TCF8 expression levels correlate with (-0.62) and predict (P < 0.00001) E-cad expression; (3) SNAI2 and ZFHX1B expression levels correlate positively with each other (+0.83) and also correlate with (-0.32 and -0.30, respectively) and predict (P = 0.03 and 0.01, respectively) E-cad expression; (4) TWIST1 correlates with (-0.34) but does not predict E-cad expression; and (5) SNAI1 expression, TCF3 expression, and E-cad DNA copy number do not correlate with or predict E-cad expression.
| Gene | Disease | Drug | Processes | Categories |
|---|
- ZEB1_HUMAN
- ZEB2_HUMAN
- SNAI2_HUMAN
- SNAI1_HUMAN
- TWST1_HUMAN
- TFE2_HUMAN
| | | | - Protein/Gene relationships
|
Predictions of E-cad regulation based on the above factors were tested and verified by demethylation studies using 5-aza-2'-deoxycytidine treatment; siRNA knock-down of TCF8, SNAI2, or ZFHX1B expression; and combined treatment with 5-aza-2'-deoxycytidine and TCF8 siRNA.
| Gene | Disease | Drug | Processes | Categories |
|---|
- ZEB1_HUMAN
- ZEB2_HUMAN
- SNAI2_HUMAN
| | | | - Protein/Gene relationships
- Drug based Studies
- Protein/Gene Functional studies
|