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pmid:33217824

Identification of grade-related genes and construction of a robust genomic-clinicopathologic nomogram for predicting recurrence of bladder cancer.

Xiqi Peng · Jingyao Wang · Dongna Li · Xuan Chen · Kaihao Liu · Chunduo Zhang · Yongqing Lai

Medicine · 2020 doi:10.1097/MD.0000000000023179

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Experiment

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Data

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title
Identification of grade-related genes and construction of a robust genomic-clinicopathologic nomogram for predicting recurrence of bladder cancer.
doi
10.1097/MD.0000000000023179
pmid
33217824
authors array · 7 items
[0]
Xiqi Peng
[1]
Jingyao Wang
[2]
Dongna Li
[3]
Xuan Chen
[4]
Kaihao Liu
[5]
Chunduo Zhang
[6]
Yongqing Lai
journal
Medicine
year
2020
abstract
BACKGROUND: Bladder cancer (BC) is a common tumor in the urinary system with a high recurrence rate. The individualized treatment and follow-up after surgery is the key to a successful outcome. Currently, the surveillance strategies are mainly depending on tumor stage and grade. Previous evidence has proved that tumor grade was a significant and independent risk factor of BC recurrence. Exploring the grade-related genes may provide us a new approach to predict prognosis and guide the post-operative treatment in BC patients. METHODS: In this study, the weighted gene co-expression network analysis was applied to identify the hub gene module correlated with BC grade using GSE71576. After constructing a protein-protein interaction (PPI) network with the hub genes inside the hub gene module, we identified some potential core genes. TCGA and another independent dataset were used for further validation. RESULTS: The results revealed that the expression of AURKA, CCNA2, CCNB1, KIF11, TTK, BUB1B, BUB1, and CDK1 were significantly higher in high-grade BC, showing a strong ability to distinguish BC grade. The expression levels of the 8 genes in normal, paracancerous, tumorous, and recurrent bladder tissues were progressively increased. By conducting survival analysis, we proved their prognostic value in predicting the recurrence of BC. Eventually, we constructed a prognostic nomogram by combining the 8-core-gene panel with clinicopathologic features, which had shown great performance in predicting the recurrence of BC. CONCLUSION: We identified 8 core genes that revealed a significant correlation with the tumor grade as well as the recurrence of BC. Finally, we proved the value of a novel prognostic nomogram for predicting the relapse-free survival of BC patients after surgery, which could guide their treatment and follow-up.
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Predective Value of Prognosis-Related Gene Expression Study in Primary Bladder Cancer
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Integration analysis of three omics data using penalized regression methods: An application to bladder cancer (expression)
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The association between the 8-core-gene panel and clinicopathologic features with RFS of BC patients.
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Harrell concordance indexes of the 8-core-gene panel, clinicopathologic features∗, and nomogram in different cohorts.
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Harrell concordance indexes of the 8-core-gene panel, clinicopathologic features∗, and nomogram in different cohorts.
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{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33217824", "kind": "science-record", "revision": 7, "content_hash": "sha256:9e843815a8fdb9a3331f08dfc85242a768957be3d8cbe04eb601610706428e4a", "created_at": "2026-11-01T15:41:16Z", "updated_at": "2026-11-01T22:02:34Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of grade-related genes and construction of a robust genomic-clinicopathologic nomogram for predicting recurrence of bladder cancer.", "doi": "10.1097/MD.0000000000023179", "pmid": "33217824", "authors": ["Xiqi Peng", "Jingyao Wang", "Dongna Li", "Xuan Chen", "Kaihao Liu", "Chunduo Zhang", "Yongqing Lai"], "journal": "Medicine", "year": 2020, "abstract": "BACKGROUND: Bladder cancer (BC) is a common tumor in the urinary system with a high recurrence rate. The individualized treatment and follow-up after surgery is the key to a successful outcome. Currently, the surveillance strategies are mainly depending on tumor stage and grade. Previous evidence has proved that tumor grade was a significant and independent risk factor of BC recurrence. Exploring the grade-related genes may provide us a new approach to predict prognosis and guide the post-operative treatment in BC patients.\nMETHODS: In this study, the weighted gene co-expression network analysis was applied to identify the hub gene module correlated with BC grade using GSE71576. After constructing a protein-protein interaction (PPI) network with the hub genes inside the hub gene module, we identified some potential core genes. TCGA and another independent dataset were used for further validation.\nRESULTS: The results revealed that the expression of AURKA, CCNA2, CCNB1, KIF11, TTK, BUB1B, BUB1, and CDK1 were significantly higher in high-grade BC, showing a strong ability to distinguish BC grade. The expression levels of the 8 genes in normal, paracancerous, tumorous, and recurrent bladder tissues were progressively increased. By conducting survival analysis, we proved their prognostic value in predicting the recurrence of BC. Eventually, we constructed a prognostic nomogram by combining the 8-core-gene panel with clinicopathologic features, which had shown great performance in predicting the recurrence of BC.\nCONCLUSION: We identified 8 core genes that revealed a significant correlation with the tumor grade as well as the recurrence of BC. 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