Bladder cancer (BC) is a commonly diagnosed malignant tumor in the urinary system, with a high morbidity and recurrence rate. Current studies indicated that metabolism-associated genes (MAGs) having critical roles in the etiology of BC. The present study aims to identify differentially expressed MAGs and construct a MAGs prognostic risk signature in BC by using The Cancer Genome Atlas (TCGA) database and proteomics data.
RNA-sequence data from the TCGA database and proteomics were used to identify differentially expressed MAGs and construct a prognostic MAGs signature in BC. Subsequently, survival analysis and nomogram were used to evaluate the prognostic and predictive value of the MAGs model in BC. RNA isolation and reverse transcription‑quantitative PCR (RT-qPCR) was further performed to investigate the expression levels of MAGs in BC cell lines and explore the relationship between MAGs and M2 tumor associated macrophages (TAMs) secreted TGF-beta 1 in BC.
A total of 23 differentially expressed MAGs were identified and five MAGs were finally used to construct a MAGs based signature. Survival analysis revealed that the MAGs based signature was closely correlated with the survival outcomes of patients with BC. A nomogram with the MAGs based signature risk score and clinical features also constructed to facilitate the individualized prediction of BC patients. RT-qPCR showed that four MAGs were significantly elevated and the expression levels of three MAGs were positively correlated with M2 TAM secreted TGF-β1 in T24 cells.
Our study identified novel prognostic MAGs and constructed a MAGs based signature, which can be used as an independent signature in evaluating the prognosis of patients with BC. Furthermore, M2 TAMs may promote the expression of three MAGs via TGF-β1 signaling pathway. Further clinical trials and experimental exploration are needed to validate our observations in BC.
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On 25 Oct, 2020
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Posted 21 Aug, 2020
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On 13 Aug, 2020
On 25 Oct, 2020
On 20 Oct, 2020
Invitations sent on 20 Oct, 2020
On 20 Oct, 2020
On 20 Oct, 2020
Received 20 Oct, 2020
Received 20 Oct, 2020
On 19 Oct, 2020
On 19 Oct, 2020
On 02 Oct, 2020
Received 30 Sep, 2020
Received 29 Sep, 2020
Invitations sent on 29 Sep, 2020
On 29 Sep, 2020
On 29 Sep, 2020
On 29 Sep, 2020
Received 29 Sep, 2020
On 28 Sep, 2020
On 27 Sep, 2020
On 27 Sep, 2020
Posted 21 Aug, 2020
On 10 Sep, 2020
Received 04 Sep, 2020
On 02 Sep, 2020
Received 02 Sep, 2020
On 21 Aug, 2020
On 20 Aug, 2020
On 19 Aug, 2020
Invitations sent on 19 Aug, 2020
On 18 Aug, 2020
On 18 Aug, 2020
On 13 Aug, 2020
Bladder cancer (BC) is a commonly diagnosed malignant tumor in the urinary system, with a high morbidity and recurrence rate. Current studies indicated that metabolism-associated genes (MAGs) having critical roles in the etiology of BC. The present study aims to identify differentially expressed MAGs and construct a MAGs prognostic risk signature in BC by using The Cancer Genome Atlas (TCGA) database and proteomics data.
RNA-sequence data from the TCGA database and proteomics were used to identify differentially expressed MAGs and construct a prognostic MAGs signature in BC. Subsequently, survival analysis and nomogram were used to evaluate the prognostic and predictive value of the MAGs model in BC. RNA isolation and reverse transcription‑quantitative PCR (RT-qPCR) was further performed to investigate the expression levels of MAGs in BC cell lines and explore the relationship between MAGs and M2 tumor associated macrophages (TAMs) secreted TGF-beta 1 in BC.
A total of 23 differentially expressed MAGs were identified and five MAGs were finally used to construct a MAGs based signature. Survival analysis revealed that the MAGs based signature was closely correlated with the survival outcomes of patients with BC. A nomogram with the MAGs based signature risk score and clinical features also constructed to facilitate the individualized prediction of BC patients. RT-qPCR showed that four MAGs were significantly elevated and the expression levels of three MAGs were positively correlated with M2 TAM secreted TGF-β1 in T24 cells.
Our study identified novel prognostic MAGs and constructed a MAGs based signature, which can be used as an independent signature in evaluating the prognosis of patients with BC. Furthermore, M2 TAMs may promote the expression of three MAGs via TGF-β1 signaling pathway. Further clinical trials and experimental exploration are needed to validate our observations in BC.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
This is a list of supplementary files associated with this preprint. Click to download.
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