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pmid:33968297

Integrated Analysis to Identify a Redox-Related Prognostic Signature for Clear Cell Renal Cell Carcinoma.

Yue Wu · Xian Wei · Huan Feng · Bintao Hu · Bo Liu · Yang Luan · Yajun Ruan · Xiaming Liu · Zhuo Liu · Jihong Liu · Tao Wang

Oxidative medicine and cellular longevity · 2021 doi:10.1155/2021/6648093

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complete

Experiment

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Data

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:33968297
kind
science-record
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sha256:4ed7ccbd4d36ef05d547e5747dd069cd9937fb82e015331194b44a98aeb990ad
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T15:41:34Z
updated_at
2026-11-01T21:25:18Z
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paper object · 10 fields
state
complete
title
Integrated Analysis to Identify a Redox-Related Prognostic Signature for Clear Cell Renal Cell Carcinoma.
doi
10.1155/2021/6648093
pmid
33968297
authors array · 11 items
[0]
Yue Wu
[1]
Xian Wei
[2]
Huan Feng
[3]
Bintao Hu
[4]
Bo Liu
[5]
Yang Luan
[6]
Yajun Ruan
[7]
Xiaming Liu
[8]
Zhuo Liu
[9]
Jihong Liu
[10]
Tao Wang
journal
Oxidative medicine and cellular longevity
year
2021
abstract
The imbalance of the redox system has been shown to be closely related to the occurrence and progression of many cancers. However, the biological function and clinical significance of redox-related genes (RRGs) in clear cell renal cell carcinoma (ccRCC) are unclear. In our current study, we downloaded transcriptome data from The Cancer Genome Atlas (TCGA) database of ccRCC patients and identified the differential expression of RRGs in tumor and normal kidney tissues. Then, we identified a total of 344 differentially expressed RRGs, including 234 upregulated and 110 downregulated RRGs. Fourteen prognosis-related RRGs (ADAM8, CGN, EIF4EBP1, FOXM1, G6PC, HAMP, HTR2C, ITIH4, LTB4R, MMP3, PLG, PRKCG, SAA1, and VWF) were selected out, and a prognosis-related signature was constructed based on these RRGs. Survival analysis showed that overall survival was lower in the high-risk group than in the low-risk group. The area under the receiver operating characteristic curve of the risk score signature was 0.728 at three years and 0.759 at five years in the TCGA cohort and 0.804 at three years and 0.829 at five years in the E-MTAB-1980 cohort, showing good predictive performance. In addition, we explored the regulatory relationships of these RRGs with upstream miRNA, their biological functions and molecular mechanisms, and their relationship with immune cell infiltration. We also established a nomogram based on these prognostic RRGs and performed internal and external validation in the TCGA and E-MTAB-1980 cohorts, respectively, showing an accurate prediction of ccRCC prognosis. Moreover, a stratified analysis showed a significant correlation between the prognostic signature and ccRCC progression.
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Subsequently, based on the median risk score, we divided the TCGA cohort into high-risk and low-risk subgroups. Then, we performed the Kaplan-Meier survival analysis to compare the difference in overall survival (OS) between the two subgroups.
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sections[7] "2.5. Construction and Evaluation of RRG-Based Prognosis-Related Signature" paragraph 4
quote
Subsequently, based on the median risk score, we divided the TCGA cohort into high-risk and low-risk subgroups. Then, we performed the Kaplan-Meier survival analysis to compare the difference in overall survival (OS) between the two subgroups.
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The data and materials can be obtained by contacting the corresponding author.
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sections[29] "Data Availability" paragraph 2
quote
The data and materials can be obtained by contacting the corresponding author.
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Multivariate Cox regression analysis to identify prognosis-related redox genes.
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3.4. Construction and Evaluation of RRG-Based Prognosis-Related Signature
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Table 1
caption
Multivariate Cox regression analysis to identify prognosis-related redox genes.
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[0]
Gene
[1]
Coef
[2]
Exp (coef)
[3]
se (coef)
[4]
z
[5]
Pr (>∣z∣)
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[0]
ADAM8
[1]
0.0632
[2]
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[3]
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1.1430
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0.0898
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1.3442
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0.1789
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1.0261
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1.1857
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0.0707
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2.4100
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0.0160
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1.0470
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LTB4R
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0.1244
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1.1324
[3]
0.0957
[4]
1.3003
[5]
0.1935
[10] array · 6 items
[0]
MMP3
[1]
0.0618
[2]
1.0637
[3]
0.0392
[4]
1.5764
[5]
0.1149
[11] array · 6 items
[0]
PLG
[1]
-0.0531
[2]
0.9483
[3]
0.0291
[4]
-1.8230
[5]
0.0683
[12] array · 6 items
[0]
PRKCG
[1]
0.0259
[2]
1.0263
[3]
0.0571
[4]
0.4536
[5]
0.6501
[13] array · 6 items
[0]
SAA1
[1]
0.0332
[2]
1.0337
[3]
0.0273
[4]
1.2146
[5]
0.2245
[14] array · 6 items
[0]
VWF
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0.9364
[3]
0.0628
[4]
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0.2954
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section[17]/table-wrap[1]#tab1
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The relationship between prognosis-related redox genes and clinicopathologic parameters.
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PMC8084660
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20
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3.7. The Expression Differences of Prognosis-Related RRGs Stratified by Different Clinicopathological Parameters
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44
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9
table object · 8 fields
label
Table 2
caption
The relationship between prognosis-related redox genes and clinicopathologic parameters.
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Gene
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[2]
Age (≤65/>65)
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M stage (M0/M1-X)
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[0]
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[2]
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331/205
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349/190
[7]
241/298
[8]
428/109
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[0]
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[0]
ADAM8
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t
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0.733
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NA∗
[4]
6.708
[5]
6.059
[6]
5.807
[7]
0.995
[8]
4.203
[4] array · 8 items
[0]
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0.919
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<0.001
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0.640
[7]
<0.001
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[0]
[6] array · 9 items
[0]
CGN
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t
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2.333
[3]
1.735
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4.626
[5]
5.274
[6]
4.749
[7]
1.748
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1.245
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0.140
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0.387
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0.250
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EIF4EBP1
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t
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2.360
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NA∗
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NA∗
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NA∗
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NA∗
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FOXM1
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NA∗
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NA∗
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[14] array · 1 item
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G6PC
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4.643
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5.276
[6]
4.730
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1.144
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HAMP
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t
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5.939
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4.891
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0.999
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HTR2C
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NA∗
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NA∗
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NA∗
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0.100
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ITIH4
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t
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0.581
[3]
NA∗
[4]
NA∗
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NA∗
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0.727
[8]
2.035
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LTB4R
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NA∗
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2.676
[5]
3.679
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3.906
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1.086
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NA∗
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PRKCG
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NA∗
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NA∗
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7.124
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0.126
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3.966
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section[20]/table-wrap[1]#tab2
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quote
Subsequently, based on the median risk score, we divided the TCGA cohort into high-risk and low-risk subgroups. Then, we performed the Kaplan-Meier survival analysis to compare the difference in overall survival (OS) between the two subgroups.
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found that miR-206 induces ROS accumulation in vivo and in vitro by binding to SOD1 mRNA, which
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ks. Supplemental Table S4: relevant links of immunohistochemical staining images of prognostic RRGs. Suppleme
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Subsequently, based on the median risk score, we divided the TCGA cohort into high-risk and low-risk subgroups. Then, we performed the Kaplan-Meier survival analysis to compare the difference in overall survival (OS) between the two subgroups.
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However, the biological function and clinical significance of redox-related genes (RRGs) in clear cell renal cell carcinoma (ccRCC) are unclear. In our current study, we downloaded transcriptome data from The Cancer Genome Atlas (TCGA) database of ccRCC patients and identified the differential expression of RRGs in tumor and normal kidney tissues. Then, we identified a total of 344 differentially expressed RRGs, including 234 upregulated and 110 downregulated RRGs. Fourteen prognosis-related RRGs (ADAM8, CGN, EIF4EBP1, FOXM1, G6PC, HAMP, HTR2C, ITIH4, LTB4R, MMP3, PLG, PRKCG, SAA1, and VWF) were selected out, and a prognosis-related signature was constructed based on these RRGs. Survival analysis showed that overall survival was lower in the high-risk group than in the low-risk group. The area under the receiver operating characteristic curve of the risk score signature was 0.728 at three years and 0.759 at five years in the TCGA cohort and 0.804 at three years and 0.829 at five years in the E-MTAB-1980 cohort, showing good predictive performance. In addition, we explored the regulatory relationships of these RRGs with upstream miRNA, their biological functions and molecular mechanisms, and their relationship with immune cell infiltration. We also established a nomogram based on these prognostic RRGs and performed internal and external validation in the TCGA and E-MTAB-1980 cohorts, respectively, showing an accurate prediction of ccRCC prognosis. Moreover, a stratified analysis showed a significant correlation between the prognostic signature and ccRCC progression.", "claims": [{"id": "claim-method", "statement": "Subsequently, based on the median risk score, we divided the TCGA cohort into high-risk and low-risk subgroups. 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