scholarly journals In Silico Analysis of Putrefaction Pathways in Bacteria and Its Implication in Colorectal Cancer

2017 ◽  
Vol 8 ◽  
Author(s):  
Harrisham Kaur ◽  
Chandrani Das ◽  
Sharmila S. Mande
Keyword(s):  
Colorectal Cancer ◽  
In Silico ◽  
In Silico Analysis ◽  
Silico Analysis

Serum Micrornas can Detect Colorectal Cancer; two Validation Study after In-Silico Analysis

2017 ◽  
Vol 152 (5) ◽  
pp. S1018
Author(s):  
Hiroyuki Takamaru ◽  
Yutaka Saito ◽  
Taku Sakamoto ◽  
Seiichiro Abe ◽  
Masayoshi Yamada ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Validation Study ◽  
In Silico ◽  
In Silico Analysis ◽  
Silico Analysis ◽  
Serum Micrornas

lncRNA-miRNA-mRNA interaction network for colorectal cancer; An in silico analysis

2020 ◽  
Vol 89 ◽  
pp. 107370
Author(s):  
Tayyebeh Ghasemi ◽  
Mohammad Khalaj-Kondori ◽  
Mohammad Ali Hosseinpour feizi ◽  
Parviz Asadi
Keyword(s):  
Colorectal Cancer ◽  
In Silico ◽  
Interaction Network ◽  
In Silico Analysis ◽  
Silico Analysis

The role of cell surface proteins gene expression in diagnosis, prognosis, and drug resistance of colorectal cancer: In silico analysis and validation

2021 ◽  
Vol 123 ◽  
pp. 104688
Author(s):  
Nasrin Nazempour ◽  
Mohammad Hossein Taleqani ◽  
Navid Taheri ◽  
Amir Hossein Haji Ali Asgary Najafabadi ◽  
Alireza Shokrollahi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Colorectal Cancer ◽  
Drug Resistance ◽  
Cell Surface ◽  
In Silico ◽  
In Silico Analysis ◽  
Surface Proteins ◽  
Cell Surface Proteins ◽  
Silico Analysis

scholarly journals The Expression Patterns of BECN1, LAMP2, and PINK1 Genes in Colorectal Cancer Are Potentially Regulated by Micrornas and CpG Islands: An In Silico Study

2020 ◽  
Vol 9 (12) ◽  
pp. 4020
Author(s):  
Martyna Bednarczyk ◽  
Edyta Fatyga ◽  
Sylwia Dzięgielewska-Gęsiak ◽  
Dariusz Waniczek ◽  
Beniamin Grabarek ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
In Silico ◽  
Expression Patterns ◽  
Cpg Islands ◽  
In Silico Analysis ◽  
Epigenetic Changes ◽  
Grid Infrastructure ◽  
In Silico Study ◽  
Silico Analysis

Background: Autophagy plays a dual role of tumor suppression and tumor promotion in colorectal cancer. The study aimed to find those microRNAs (miRNAs) important in BECN1, LAMP2, and PINK1 regulation and to determine the possible role of the epigenetic changes in examined colorectal cancer using an in silico approach. Methods: A total of 44 pairs of surgically removed tumors at clinical stages I‒IV and healthy samples (marginal tissues) from patients’ guts were analyzed. Analysis of the obtained results was conducted using the PL-Grid Infrastructure and Statistica 12.0 program. The miRNAs and CpG islands were estimated using the microrna.org database and MethPrimer program. Results: The autophagy-related genes were shown to be able to be regulated by miRNAs (BECN1—49 mRNA, LAMP2—62 mRNA, PINK1—6 mRNA). It was observed that promotion regions containing at least one CpG region were present in the sequence of each gene. Conclusions: The in silico analysis performed allowed us to determine the possible role of epigenetic mechanisms of regulation gene expression, which may be an interesting therapeutic target in the treatment of colorectal cancer.

scholarly journals P-172 PTHrP and SPARC expressions in human colorectal cancer: An in silico analysis

2021 ◽  
Vol 32 ◽  
pp. S158
Author(s):  
P. Carriere ◽  
M. Novoa Diaz ◽  
F. Lopez Moncada ◽  
A. Zwenger ◽  
H. Contreras ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
In Silico ◽  
In Silico Analysis ◽  
Human Colorectal Cancer ◽  
Silico Analysis

scholarly journals In Silico Analysis, Cloning and Expression of Recombinant CD166 in E. coli BL21 (DE3) as a Marker for Detection and Treatment of Colorectal Cancer

2017 ◽  
Vol 06 (01) ◽  
Author(s):  
Vahid Marmari ◽  
Habibollah Mahmoodzadeh ◽  
Hassan Dana ◽  
Ghanbar Mahmoodi Chalbatani ◽  
Ali Mazraeh ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
In Silico ◽  
In Silico Analysis ◽  
Cloning And Expression ◽  
E Coli ◽  
Silico Analysis

scholarly journals Variations in AXIN2 predict risk and prognosis of colorectal cancer

BDJ Open ◽  
2019 ◽  
Vol 5 (1) ◽  
Author(s):  
L. Otero ◽  
E. Lacunza ◽  
V. Vasquez ◽  
V. Arbelaez ◽  
F. Cardier ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
In Silico ◽  
Familial Cancer ◽  
In Silico Analysis ◽  
Healthy Individuals ◽  
R Software ◽  
Chi Square ◽  
History Of ◽  
Silico Analysis ◽  
Worse Prognosis

Abstract Objective Colorectal cancer (CRC) and hypodontia are frequent and different diseases with common genes are involved in their etiology. The objective of this study was to identify the association between AXIN2 rs2240308 with hypodontia and CRC. Patients and methods This study consisted of 50 individuals with hypodontia, 50 individuals with CRC, and 155 healthy individuals from Colombia. SNP genotyping assays of rs2240308 were performed and family history of cancer in individuals with hypodontia was documented. In silico analysis was implemented to define the genomic profile of the AXIN2 gene associated with CRC. Multivariate analysis, chi square, odd ratio tests, and R software were used for statistical analysis. Results AXIN2 rs2240308 showed association with CRC (OR = 5.4 CI: 2.7–10.4; p < 0.001) and with other familial cancer in individuals with hypodontia (p < 0.005 OR = 1.75, 95% CI: 1.22–6.91). In silico analysis showed that variations in AXIN2 found in CRC patients, were more frequently in earlier stages of tumor and patients who carry variations in the AXIN2 gene have a worse prognosis (p < 0.05). The association between AXIN2 rs2240308 with hypodontia was not significant. Conclusions These results suggest that AXIN2 rs2240308 polymorphism is associated with CRC and AXIN2 could be a risk marker for predisposition and prognosis of CRC.

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