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Identification of novel thyroid cancer-related genes and chemicals using shortest path algorithm.

Jiang Y, Zhang P, Li LP, He YC, Gao RJ, Gao YF - Biomed Res Int (2015)

Bottom Line: To this end, it is necessary to uncover the mechanism underlying this disease.In this study, we generalized some previous methods to discover both disease genes and chemicals.It is indicated that the proposed method is effective for the discovery of novel disease genes and chemicals.

View Article: PubMed Central - PubMed

Affiliation: Department of Surgery, China-Japan Union Hospital of Jilin University, Changchun 130033, China.

ABSTRACT
Thyroid cancer is a typical endocrine malignancy. In the past three decades, the continued growth of its incidence has made it urgent to design effective treatments to treat this disease. To this end, it is necessary to uncover the mechanism underlying this disease. Identification of thyroid cancer-related genes and chemicals is helpful to understand the mechanism of thyroid cancer. In this study, we generalized some previous methods to discover both disease genes and chemicals. The method was based on shortest path algorithm and applied to discover novel thyroid cancer-related genes and chemicals. The analysis of the final obtained genes and chemicals suggests that some of them are crucial to the formation and development of thyroid cancer. It is indicated that the proposed method is effective for the discovery of novel disease genes and chemicals.

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The top ten GO terms that were enriched by 169 significant candidate genes.
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fig3: The top ten GO terms that were enriched by 169 significant candidate genes.

Mentions: For the BP enrichment analysis, results are shown in Online Supporting Information S5. Ranked by P value, top ten BP GO terms are depicted in Figure 3. The mainly enriched GO terms are associated with cell proliferation. For example, genes in GO:0042127 (regulation of cell proliferation, “count” = 35) and GO:0008284 (positive regulation of cell proliferation, “count” = 25) are all reported related to cell proliferation. Also, GO:0010604 (positive regulation of macromolecule metabolic process, “count” = 34) and GO:0051173 (positive regulation of nitrogen compound metabolic process, “count” = 26) are associated with metabolic process. Since proliferative signaling and activating metastasis are two hallmarks of cancer [41], it is convincing that the result of BP enrichment analysis further supports the validity of our method.


Identification of novel thyroid cancer-related genes and chemicals using shortest path algorithm.

Jiang Y, Zhang P, Li LP, He YC, Gao RJ, Gao YF - Biomed Res Int (2015)

The top ten GO terms that were enriched by 169 significant candidate genes.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4385622&req=5

fig3: The top ten GO terms that were enriched by 169 significant candidate genes.
Mentions: For the BP enrichment analysis, results are shown in Online Supporting Information S5. Ranked by P value, top ten BP GO terms are depicted in Figure 3. The mainly enriched GO terms are associated with cell proliferation. For example, genes in GO:0042127 (regulation of cell proliferation, “count” = 35) and GO:0008284 (positive regulation of cell proliferation, “count” = 25) are all reported related to cell proliferation. Also, GO:0010604 (positive regulation of macromolecule metabolic process, “count” = 34) and GO:0051173 (positive regulation of nitrogen compound metabolic process, “count” = 26) are associated with metabolic process. Since proliferative signaling and activating metastasis are two hallmarks of cancer [41], it is convincing that the result of BP enrichment analysis further supports the validity of our method.

Bottom Line: To this end, it is necessary to uncover the mechanism underlying this disease.In this study, we generalized some previous methods to discover both disease genes and chemicals.It is indicated that the proposed method is effective for the discovery of novel disease genes and chemicals.

View Article: PubMed Central - PubMed

Affiliation: Department of Surgery, China-Japan Union Hospital of Jilin University, Changchun 130033, China.

ABSTRACT
Thyroid cancer is a typical endocrine malignancy. In the past three decades, the continued growth of its incidence has made it urgent to design effective treatments to treat this disease. To this end, it is necessary to uncover the mechanism underlying this disease. Identification of thyroid cancer-related genes and chemicals is helpful to understand the mechanism of thyroid cancer. In this study, we generalized some previous methods to discover both disease genes and chemicals. The method was based on shortest path algorithm and applied to discover novel thyroid cancer-related genes and chemicals. The analysis of the final obtained genes and chemicals suggests that some of them are crucial to the formation and development of thyroid cancer. It is indicated that the proposed method is effective for the discovery of novel disease genes and chemicals.

Show MeSH
Related in: MedlinePlus