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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Asian Pacific Journal of Cancer Prevention
- نوع مقاله: Journal Article
- کلمات کلیدی: Biological processes,Transcription factor,FoxM1,DACH1,Tp53
- چکیده:
- چکیده انگلیسی: Background: Colorectal cancer (CRC) is one of the most common cancers worldwide with high number of mortality
every year. Microsatellite instability (MSI) is a considerable feature of CRC which affects prognosis and treatment.
High level of MSI or MSI-high (MSI-H) colorectal cancer has better prognosis and immunotherapy response, while
microsatellite stable (MSS) CRC has better response to 5-fluorouracil (5-FU)-based chemotherapy. More studies are
needed, specifically on MSS CRC which has worse prognosis, to further reveal biological differences and similarities
between MSS and MSI colorectal cancer, which may equip us with the knowledge to develop more promising therapeutic
approaches to target both types or be more effective for each type. Methods: We aimed to find affected biological
processes and their regulators in both type, MSS and MSI-H, of CRC; as well as reveal specific ones in each type.
We applied meta- and network analysis on freely available transcriptome data in MSS and MSI-H colorectal cancer
from gene expression omnibus (GEO) database to detect common differentially expressed genes (DEGs) and critical
biological processes and predict their most significant regulators. Results: Our results demonstrate considerable up
and downregulation in cell cycle and lipid catabolism processes, respectively; and introduced MYC and FOXM1
as two central and up-stream regulators of DEGs in both type of CRC. Chemokine-mediated processes displayed
up-regulation in MSI-H type, while metastasis-related processes showed more activation in MSS CRC. Additionally,
DACH1 and TP53 were detected as two important transcription factors that differentially expressed just in MSS and
MSI-H, respectively. Conclusion: Our results can explain why MSI and MSS CRC display different immunotherapy
response, prognosis, and metastasis feature. Moreover, our predicted up-stream regulators in the regulatory networks
may be promising therapeutic targets.- انتشار مقاله: 28-02-1398
- نویسندگان: Vahid Akbari,Marzieh Kallhor,Behrouz Mollashahi,Abolfazl Movafagh
- مشاهده
- جایگاه : پژوهشی
- مجله: Asian Pacific Journal of Cancer Prevention
- نوع مقاله: Journal Article
- کلمات کلیدی: Target Therapy,medulloblastoma,Computational Biology,Differ,KEGG pathways
- چکیده:
- چکیده انگلیسی: Introduction: One of the major challenges in cancer treatment is the lack of specific and accurate treatment in
cancer. Data analysis can help to understand the underlying molecular mechanism that leads to better treatment.
Increasing availability and reliability of DNA microarray data leads to increase the use of these data in a variety of
cancers. This study aimed at applying and evaluating microarray data analyzing, identification of important pathways
and gene network for medulloblastoma patients to improve treatment approaches especially target therapy. Methods:
In the current study, Microarray gene expression data (GSE50161) were extracted from Geo datasets and then analyzed
by the affylmGUI package to predict and investigate upregulated and downregulated genes in medulloblastoma. Then,
the important pathways were determined by using software and gene enrichment analyses. Pathways visualization
and network analyses were performed by Cytoscape. Results: A total number of 249 differentially expressed genes
(DEGs) were identified in medulloblastoma compared to normal samples. Cell cycle, p53, and FoxO signaling pathways
were indicated in medulloblastoma, and CDK1, CCNB1, CDK2, and WEE1 were identified as some of the important
genes in the medulloblastoma. Conclusion: Identification of critical and specific pathway in any disease, in our case
medulloblastoma, can lead us to better clinical management and accurate treatment and target therapy.- انتشار مقاله: 17-05-1397
- نویسندگان: Fateme Shaanbanpour Aghamaleki,Behrouz Mollashahi,Nika Aghamohammadi,Nematollah Rostami,Zeinab Mazloumi,Hamidreza Mirzaei,Afshin Moradi,Mojgan Sheikhpour,Abolfazl Movafagh
- مشاهده