» Articles » PMID: 28195176

The Non-coding Variant Rs1800734 Enhances DCLK3 Expression Through Long-range Interaction and Promotes Colorectal Cancer Progression

Abstract

Genome-wide association studies have identified a great number of non-coding risk variants for colorectal cancer (CRC). To date, the majority of these variants have not been functionally studied. Identification of allele-specific transcription factor (TF) binding is of great importance to understand regulatory consequences of such variants. A recently developed proteome-wide analysis of disease-associated SNPs (PWAS) enables identification of TF-DNA interactions in an unbiased manner. Here we perform a large-scale PWAS study to comprehensively characterize TF-binding landscape that is associated with CRC, which identifies 731 allele-specific TF binding at 116 CRC risk loci. This screen identifies the A-allele of rs1800734 within the promoter region of MLH1 as perturbing the binding of TFAP4 and consequently increasing DCLK3 expression through a long-range interaction, which promotes cancer malignancy through enhancing expression of the genes related to epithelial-to-mesenchymal transition.

Citing Articles

FadA antigen of Fusobacterium nucleatum: implications for ceRNA network in colorectal cancer and adenomatous polyps progression.

Rezasoltani S, Shams E, Piroozkhah M, Aidi Y, Azizmohammad Looha M, Bagheri P Discov Oncol. 2025; 16(1):58.

PMID: 39826054 PMC: 11741970. DOI: 10.1007/s12672-025-01796-w.


Altered chromatin landscape and 3D interactions associated with primary constitutional MLH1 epimutations.

Climent-Canto P, Subirana-Granes M, Ramos-Rodriguez M, Damaso E, Marin F, Vara C Clin Epigenetics. 2024; 16(1):193.

PMID: 39741348 PMC: 11686911. DOI: 10.1186/s13148-024-01770-3.


Intronic Variants in the (rs2303426 and rs10179950) and (rs2286681 and rs62456178) Genes Are Not Associated with Colorectal Cancer in Mexican Patients.

Rico-Mendez M, Lopez-Ceballos A, Moreno-Ortiz J, Ayala-Madrigal M, Gutierrez-Angulo M, Ramirez-Ramirez R Genes (Basel). 2024; 15(11).

PMID: 39596580 PMC: 11594145. DOI: 10.3390/genes15111380.


Macrophage-mediated myelin recycling fuels brain cancer malignancy.

Kloosterman D, Erbani J, Boon M, Farber M, Handgraaf S, Ando-Kuri M Cell. 2024; 187(19):5336-5356.e30.

PMID: 39137777 PMC: 11429458. DOI: 10.1016/j.cell.2024.07.030.


MLH1 rs1800734 Pathogenic Variant among Patients with Colorectal Cancer in the Lower Northeastern Region of Thailand.

Pongsavee M, Wisuwan K, Pongsavee K Asian Pac J Cancer Prev. 2023; 24(8):2911-2916.

PMID: 37642081 PMC: 10685219. DOI: 10.31557/APJCP.2023.24.8.2911.


References
1.
Anders S, Pyl P, Huber W . HTSeq--a Python framework to work with high-throughput sequencing data. Bioinformatics. 2014; 31(2):166-9. PMC: 4287950. DOI: 10.1093/bioinformatics/btu638. View

2.
Subramanian A, Tamayo P, Mootha V, Mukherjee S, Ebert B, Gillette M . Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005; 102(43):15545-50. PMC: 1239896. DOI: 10.1073/pnas.0506580102. View

3.
Allan J, Shorto J, Adlard J, Bury J, Coggins R, George R . MLH1 -93G>A promoter polymorphism and risk of mismatch repair deficient colorectal cancer. Int J Cancer. 2008; 123(10):2456-9. DOI: 10.1002/ijc.23770. View

4.
Ongen H, Buil A, Brown A, Dermitzakis E, Delaneau O . Fast and efficient QTL mapper for thousands of molecular phenotypes. Bioinformatics. 2015; 32(10):1479-85. PMC: 4866519. DOI: 10.1093/bioinformatics/btv722. View

5.
Ongen H, Andersen C, Bramsen J, Oster B, Rasmussen M, Ferreira P . Putative cis-regulatory drivers in colorectal cancer. Nature. 2014; 512(7512):87-90. DOI: 10.1038/nature13602. View