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The stromal genome heterogeneity between breast and prostate tumors revealed by a comparative transcriptomic analysis.

He K, Lv W, Zheng D, Cheng F, Zhou T, Ye S, Ban Q, Ying Q, Huang B, Chen L, Wu G, Liu D - Oncotarget (2015)

Bottom Line: As a result, 8 up-regulated pathways and 73 down-regulated pathways were identified in the breast tumor stroma, while 32 up-regulated pathways and 18 down-regulated pathways were identified in the prostate tumor stroma.Several essential tumors stromal marker genes were also significantly identified.For example, CDH3 was significantly up-regulated in the stromals of both breast and prostate tumors, however EGFR was only significantly down-regulated in the stromal of breast tumor.

View Article: PubMed Central - PubMed

Affiliation: Center for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei City, Anhui, China.

ABSTRACT
Stromal microenvironment increases tumor cell survival, proliferation and migration, and promotes angiogenesis. In order to provide comprehensive information on the stromal heterogeneity of diverse tumors, here we employed the microarray datasets of human invasive breast and prostate cancer-associated stromals and applied Gene Set Enrichment Analysis (GSEA) to compare the gene expression profiles between them. As a result, 8 up-regulated pathways and 73 down-regulated pathways were identified in the breast tumor stroma, while 32 up-regulated pathways and 18 down-regulated pathways were identified in the prostate tumor stroma. Only 9 pathways such as tryptophan metabolism were commonly up or down regulated, but most of them (including ABC transporters) were specific for these two tumors. Several essential tumors stromal marker genes were also significantly identified. For example, CDH3 was significantly up-regulated in the stromals of both breast and prostate tumors, however EGFR was only significantly down-regulated in the stromal of breast tumor. Our study would be helpful for future therapeutic and predictive applications in breast and prostate cancers.

No MeSH data available.


Related in: MedlinePlus

The heat map and hierarchical clustering in Tryptophan metabolism pathway(A) It showed the heat map and hierarchical clustering in Tryptophan metabolism pathway from human breast tumor stromal. There were 42 involved genes in Tryptophan metabolism pathway from human breast tumor stromal, which were clustered into 5 groups (the group from A to E). (B) It showed the heat map and hierarchical clustering in Tryptophan metabolism pathway from human prostate tumor stromal. There were 40 involved genes in Tryptophan metabolism pathway from human prostate tumor stromal, which were clustered into 4 groups (the group from A to D). Red is for up-regulated and green is for down-regulated.
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Figure 3: The heat map and hierarchical clustering in Tryptophan metabolism pathway(A) It showed the heat map and hierarchical clustering in Tryptophan metabolism pathway from human breast tumor stromal. There were 42 involved genes in Tryptophan metabolism pathway from human breast tumor stromal, which were clustered into 5 groups (the group from A to E). (B) It showed the heat map and hierarchical clustering in Tryptophan metabolism pathway from human prostate tumor stromal. There were 40 involved genes in Tryptophan metabolism pathway from human prostate tumor stromal, which were clustered into 4 groups (the group from A to D). Red is for up-regulated and green is for down-regulated.

Mentions: Firstly, the common GSEA method was applied to the stromal regions of human breast and prostate tumors. For individual analysis, we obtained the significant pathways in each dataset, which were summarized in Figure 2A and Supplementary File 2. Firstly, we compared the up-regulated and down-regulated pathways in the stromals of both tumor types, respectively. Interestingly, 9 highly common pathways were identified, including only 1 up-regulated and 8 down-regulated pathways common to the breast tumor and prostate tumor stromal (shown in Table 1 and Figure 2B). The most down-regulated pathways were metabolism related pathway, such as amino sugar and nucleotide sugar metabolism, riboflavin metabolism, mucin type O-glycan biosynthesis, and glycosphingolipid biosynthesis-lacto and neolacto series identified in both breast and prostate tumor stromal [29-31]. Besides, cell adhesion molecules (CAMs) are related to environmental information processing, which have a crucial role in tumor progression, in particular during invasion and metastasis [32]. The pathway of leukocyte transendothelial migration is associated with organismal systems. The pathway of phagosome is cellular processes related. Bacterial invasion of epithelial cells, one part of human diseases, which has reported that induction of inflammation by bacteria and viral infections increases cancer risk [33]. The only one upregulated pathway was tryptophan metabolism, which is metabolism related and altered in patients suffering from gynecological cancer compared to healthy controls (shown in Figure 3) [34].


The stromal genome heterogeneity between breast and prostate tumors revealed by a comparative transcriptomic analysis.

He K, Lv W, Zheng D, Cheng F, Zhou T, Ye S, Ban Q, Ying Q, Huang B, Chen L, Wu G, Liu D - Oncotarget (2015)

The heat map and hierarchical clustering in Tryptophan metabolism pathway(A) It showed the heat map and hierarchical clustering in Tryptophan metabolism pathway from human breast tumor stromal. There were 42 involved genes in Tryptophan metabolism pathway from human breast tumor stromal, which were clustered into 5 groups (the group from A to E). (B) It showed the heat map and hierarchical clustering in Tryptophan metabolism pathway from human prostate tumor stromal. There were 40 involved genes in Tryptophan metabolism pathway from human prostate tumor stromal, which were clustered into 4 groups (the group from A to D). Red is for up-regulated and green is for down-regulated.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4496176&req=5

Figure 3: The heat map and hierarchical clustering in Tryptophan metabolism pathway(A) It showed the heat map and hierarchical clustering in Tryptophan metabolism pathway from human breast tumor stromal. There were 42 involved genes in Tryptophan metabolism pathway from human breast tumor stromal, which were clustered into 5 groups (the group from A to E). (B) It showed the heat map and hierarchical clustering in Tryptophan metabolism pathway from human prostate tumor stromal. There were 40 involved genes in Tryptophan metabolism pathway from human prostate tumor stromal, which were clustered into 4 groups (the group from A to D). Red is for up-regulated and green is for down-regulated.
Mentions: Firstly, the common GSEA method was applied to the stromal regions of human breast and prostate tumors. For individual analysis, we obtained the significant pathways in each dataset, which were summarized in Figure 2A and Supplementary File 2. Firstly, we compared the up-regulated and down-regulated pathways in the stromals of both tumor types, respectively. Interestingly, 9 highly common pathways were identified, including only 1 up-regulated and 8 down-regulated pathways common to the breast tumor and prostate tumor stromal (shown in Table 1 and Figure 2B). The most down-regulated pathways were metabolism related pathway, such as amino sugar and nucleotide sugar metabolism, riboflavin metabolism, mucin type O-glycan biosynthesis, and glycosphingolipid biosynthesis-lacto and neolacto series identified in both breast and prostate tumor stromal [29-31]. Besides, cell adhesion molecules (CAMs) are related to environmental information processing, which have a crucial role in tumor progression, in particular during invasion and metastasis [32]. The pathway of leukocyte transendothelial migration is associated with organismal systems. The pathway of phagosome is cellular processes related. Bacterial invasion of epithelial cells, one part of human diseases, which has reported that induction of inflammation by bacteria and viral infections increases cancer risk [33]. The only one upregulated pathway was tryptophan metabolism, which is metabolism related and altered in patients suffering from gynecological cancer compared to healthy controls (shown in Figure 3) [34].

Bottom Line: As a result, 8 up-regulated pathways and 73 down-regulated pathways were identified in the breast tumor stroma, while 32 up-regulated pathways and 18 down-regulated pathways were identified in the prostate tumor stroma.Several essential tumors stromal marker genes were also significantly identified.For example, CDH3 was significantly up-regulated in the stromals of both breast and prostate tumors, however EGFR was only significantly down-regulated in the stromal of breast tumor.

View Article: PubMed Central - PubMed

Affiliation: Center for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei City, Anhui, China.

ABSTRACT
Stromal microenvironment increases tumor cell survival, proliferation and migration, and promotes angiogenesis. In order to provide comprehensive information on the stromal heterogeneity of diverse tumors, here we employed the microarray datasets of human invasive breast and prostate cancer-associated stromals and applied Gene Set Enrichment Analysis (GSEA) to compare the gene expression profiles between them. As a result, 8 up-regulated pathways and 73 down-regulated pathways were identified in the breast tumor stroma, while 32 up-regulated pathways and 18 down-regulated pathways were identified in the prostate tumor stroma. Only 9 pathways such as tryptophan metabolism were commonly up or down regulated, but most of them (including ABC transporters) were specific for these two tumors. Several essential tumors stromal marker genes were also significantly identified. For example, CDH3 was significantly up-regulated in the stromals of both breast and prostate tumors, however EGFR was only significantly down-regulated in the stromal of breast tumor. Our study would be helpful for future therapeutic and predictive applications in breast and prostate cancers.

No MeSH data available.


Related in: MedlinePlus