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Development and validation of a kidney renal clear cell carcinoma prognostic model relying on pyroptosis-related LncRNAs-A multidimensional comprehensive bioinformatics exploration

BACKGROUND: Renal cell carcinoma (RCC) is a malignant tumour that may develop in the kidney. RCC is one of the most common kinds of tumours of this sort, and its most common pathological subtype is kidney renal clear cell carcinoma (KIRC). However, the aetiology and pathogenesis of RCC still need to...

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Autores principales: Liu, Chang, Dai, Shuxin, Geng, Hao, Jiang, Zhiwei, Teng, Xiangyu, Liu, Kun, Tuo, Zhouting, Peng, Longfei, Yang, Chao, Bi, Liangkuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498568/
https://www.ncbi.nlm.nih.gov/pubmed/37700389
http://dx.doi.org/10.1186/s40001-023-01277-2
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author Liu, Chang
Dai, Shuxin
Geng, Hao
Jiang, Zhiwei
Teng, Xiangyu
Liu, Kun
Tuo, Zhouting
Peng, Longfei
Yang, Chao
Bi, Liangkuan
author_facet Liu, Chang
Dai, Shuxin
Geng, Hao
Jiang, Zhiwei
Teng, Xiangyu
Liu, Kun
Tuo, Zhouting
Peng, Longfei
Yang, Chao
Bi, Liangkuan
author_sort Liu, Chang
collection PubMed
description BACKGROUND: Renal cell carcinoma (RCC) is a malignant tumour that may develop in the kidney. RCC is one of the most common kinds of tumours of this sort, and its most common pathological subtype is kidney renal clear cell carcinoma (KIRC). However, the aetiology and pathogenesis of RCC still need to be clarified. Exploring the internal mechanism of RCC contributes to diagnosing and treating this disease. Pyroptosis is a critical process related to cell death. Recent research has shown that pyroptosis is a critical factor in the initiation and progression of tumour formation. Thus far, researchers have progressively uncovered evidence of the regulatory influence that long noncoding RNAs (lncRNAs) have on pyroptosis. METHODS: In this work, a comprehensive bioinformatics approach was used to produce a predictive model according to pyroptosis-interrelated lncRNAs for the purpose of predicting the overall survival and molecular immune specialties of patients diagnosed with KIRC. This model was verified from multiple perspectives. RESULTS: First, we discovered pyroptosis-associated lncRNAs in KIRC patients using the TCGA database and a Sankey diagram. Then, we developed and validated a KIRC patient risk model based on pyroptosis-related lncRNAs. We demonstrated the grouping power of PLnRM through PCA and used PLnRM to assess the tumour immune microenvironment and response to immunotherapy. Immunological and molecular traits of diverse PLnRM subgroups were evaluated, as were clinical KIRC patient characteristics and predictive risk models. On this basis, a predictive nomogram was developed and analyzed, and novel PLnRM candidate compounds were identified. Finally, we investigated possible medications used by KIRC patients. CONCLUSIONS: The results demonstrate that the model generated has significant value for KIRC in clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01277-2.
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spelling pubmed-104985682023-09-14 Development and validation of a kidney renal clear cell carcinoma prognostic model relying on pyroptosis-related LncRNAs-A multidimensional comprehensive bioinformatics exploration Liu, Chang Dai, Shuxin Geng, Hao Jiang, Zhiwei Teng, Xiangyu Liu, Kun Tuo, Zhouting Peng, Longfei Yang, Chao Bi, Liangkuan Eur J Med Res Research BACKGROUND: Renal cell carcinoma (RCC) is a malignant tumour that may develop in the kidney. RCC is one of the most common kinds of tumours of this sort, and its most common pathological subtype is kidney renal clear cell carcinoma (KIRC). However, the aetiology and pathogenesis of RCC still need to be clarified. Exploring the internal mechanism of RCC contributes to diagnosing and treating this disease. Pyroptosis is a critical process related to cell death. Recent research has shown that pyroptosis is a critical factor in the initiation and progression of tumour formation. Thus far, researchers have progressively uncovered evidence of the regulatory influence that long noncoding RNAs (lncRNAs) have on pyroptosis. METHODS: In this work, a comprehensive bioinformatics approach was used to produce a predictive model according to pyroptosis-interrelated lncRNAs for the purpose of predicting the overall survival and molecular immune specialties of patients diagnosed with KIRC. This model was verified from multiple perspectives. RESULTS: First, we discovered pyroptosis-associated lncRNAs in KIRC patients using the TCGA database and a Sankey diagram. Then, we developed and validated a KIRC patient risk model based on pyroptosis-related lncRNAs. We demonstrated the grouping power of PLnRM through PCA and used PLnRM to assess the tumour immune microenvironment and response to immunotherapy. Immunological and molecular traits of diverse PLnRM subgroups were evaluated, as were clinical KIRC patient characteristics and predictive risk models. On this basis, a predictive nomogram was developed and analyzed, and novel PLnRM candidate compounds were identified. Finally, we investigated possible medications used by KIRC patients. CONCLUSIONS: The results demonstrate that the model generated has significant value for KIRC in clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01277-2. BioMed Central 2023-09-12 /pmc/articles/PMC10498568/ /pubmed/37700389 http://dx.doi.org/10.1186/s40001-023-01277-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liu, Chang
Dai, Shuxin
Geng, Hao
Jiang, Zhiwei
Teng, Xiangyu
Liu, Kun
Tuo, Zhouting
Peng, Longfei
Yang, Chao
Bi, Liangkuan
Development and validation of a kidney renal clear cell carcinoma prognostic model relying on pyroptosis-related LncRNAs-A multidimensional comprehensive bioinformatics exploration
title Development and validation of a kidney renal clear cell carcinoma prognostic model relying on pyroptosis-related LncRNAs-A multidimensional comprehensive bioinformatics exploration
title_full Development and validation of a kidney renal clear cell carcinoma prognostic model relying on pyroptosis-related LncRNAs-A multidimensional comprehensive bioinformatics exploration
title_fullStr Development and validation of a kidney renal clear cell carcinoma prognostic model relying on pyroptosis-related LncRNAs-A multidimensional comprehensive bioinformatics exploration
title_full_unstemmed Development and validation of a kidney renal clear cell carcinoma prognostic model relying on pyroptosis-related LncRNAs-A multidimensional comprehensive bioinformatics exploration
title_short Development and validation of a kidney renal clear cell carcinoma prognostic model relying on pyroptosis-related LncRNAs-A multidimensional comprehensive bioinformatics exploration
title_sort development and validation of a kidney renal clear cell carcinoma prognostic model relying on pyroptosis-related lncrnas-a multidimensional comprehensive bioinformatics exploration
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498568/
https://www.ncbi.nlm.nih.gov/pubmed/37700389
http://dx.doi.org/10.1186/s40001-023-01277-2
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