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Novel pyroptosis-associated genes signature for predicting the prognosis of sarcoma and validation

Background: Sarcoma is a rare mesenchymal malignant tumor. Recently, pyroptosis has been reported to be a mode of programmed cell death. Nonetheless, levels of pyroptosis-associated genes in sarcoma and its relevance to prognostic outcomes are yet to be elucidated. Results: Sarcoma cases were classi...

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Autores principales: Wen, Hao, Guo, Dandan, Zhao, Zhenguo, Xin, Xin, Shi, Qi, Cao, Jiachen, Song, Lingxie, Jiang, Yuliang, Liu, Chunxia, Li, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742515/
https://www.ncbi.nlm.nih.gov/pubmed/36155774
http://dx.doi.org/10.1042/BSR20221053
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author Wen, Hao
Guo, Dandan
Zhao, Zhenguo
Xin, Xin
Shi, Qi
Cao, Jiachen
Song, Lingxie
Jiang, Yuliang
Liu, Chunxia
Li, Feng
author_facet Wen, Hao
Guo, Dandan
Zhao, Zhenguo
Xin, Xin
Shi, Qi
Cao, Jiachen
Song, Lingxie
Jiang, Yuliang
Liu, Chunxia
Li, Feng
author_sort Wen, Hao
collection PubMed
description Background: Sarcoma is a rare mesenchymal malignant tumor. Recently, pyroptosis has been reported to be a mode of programmed cell death. Nonetheless, levels of pyroptosis-associated genes in sarcoma and its relevance to prognostic outcomes are yet to be elucidated. Results: Sarcoma cases were classified into two subtypes with regards to differentially expressed genes. We established a profile composed of seven genes and classified the sarcoma patients into low- and high-risk groups through least absolute shrinkage and selection operator Cox regression. Survival rate of low-risk sarcoma patients was markedly higher, relative to high-risk group (P<0.001). In combination with clinical features, the risk score was established to be an independent predictive factor for OS of sarcoma patients. Chemotherapeutic drug sensitivity response analysis found 65 drugs with higher drug sensitivity in low-risk, than in high-risk group and 14 drugs with higher drug sensitivity in the high-risk patient group, compared with low-risk patient group. In addition, functional enrichment, pathway and gene mutation of the two modules were analyzed. Finally, we used qRT-PCR to detect the expression of seven pyroptosis-related genes in tumor cells, and human skeletal muscle cells, compared with human skeletal muscle cells, PODXL2, LRRC17, GABRA3, SCUBE3 and RFLNB genes show high expression levels in tumor cells, while IGHG2 and hepatic leukemia factor show low expression levels in tumor cells. Conclusions: Our research suggest that pyroptosis is closely associated with sarcoma, and these findings confirm that pyroptosis-associated seven genes have a critical role in sarcoma and are potential prognostic factors for sarcoma.
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spelling pubmed-97425152022-12-20 Novel pyroptosis-associated genes signature for predicting the prognosis of sarcoma and validation Wen, Hao Guo, Dandan Zhao, Zhenguo Xin, Xin Shi, Qi Cao, Jiachen Song, Lingxie Jiang, Yuliang Liu, Chunxia Li, Feng Biosci Rep Bioinformatics Background: Sarcoma is a rare mesenchymal malignant tumor. Recently, pyroptosis has been reported to be a mode of programmed cell death. Nonetheless, levels of pyroptosis-associated genes in sarcoma and its relevance to prognostic outcomes are yet to be elucidated. Results: Sarcoma cases were classified into two subtypes with regards to differentially expressed genes. We established a profile composed of seven genes and classified the sarcoma patients into low- and high-risk groups through least absolute shrinkage and selection operator Cox regression. Survival rate of low-risk sarcoma patients was markedly higher, relative to high-risk group (P<0.001). In combination with clinical features, the risk score was established to be an independent predictive factor for OS of sarcoma patients. Chemotherapeutic drug sensitivity response analysis found 65 drugs with higher drug sensitivity in low-risk, than in high-risk group and 14 drugs with higher drug sensitivity in the high-risk patient group, compared with low-risk patient group. In addition, functional enrichment, pathway and gene mutation of the two modules were analyzed. Finally, we used qRT-PCR to detect the expression of seven pyroptosis-related genes in tumor cells, and human skeletal muscle cells, compared with human skeletal muscle cells, PODXL2, LRRC17, GABRA3, SCUBE3 and RFLNB genes show high expression levels in tumor cells, while IGHG2 and hepatic leukemia factor show low expression levels in tumor cells. Conclusions: Our research suggest that pyroptosis is closely associated with sarcoma, and these findings confirm that pyroptosis-associated seven genes have a critical role in sarcoma and are potential prognostic factors for sarcoma. Portland Press Ltd. 2022-12-09 /pmc/articles/PMC9742515/ /pubmed/36155774 http://dx.doi.org/10.1042/BSR20221053 Text en © 2022 The Author(s). https://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Bioinformatics
Wen, Hao
Guo, Dandan
Zhao, Zhenguo
Xin, Xin
Shi, Qi
Cao, Jiachen
Song, Lingxie
Jiang, Yuliang
Liu, Chunxia
Li, Feng
Novel pyroptosis-associated genes signature for predicting the prognosis of sarcoma and validation
title Novel pyroptosis-associated genes signature for predicting the prognosis of sarcoma and validation
title_full Novel pyroptosis-associated genes signature for predicting the prognosis of sarcoma and validation
title_fullStr Novel pyroptosis-associated genes signature for predicting the prognosis of sarcoma and validation
title_full_unstemmed Novel pyroptosis-associated genes signature for predicting the prognosis of sarcoma and validation
title_short Novel pyroptosis-associated genes signature for predicting the prognosis of sarcoma and validation
title_sort novel pyroptosis-associated genes signature for predicting the prognosis of sarcoma and validation
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742515/
https://www.ncbi.nlm.nih.gov/pubmed/36155774
http://dx.doi.org/10.1042/BSR20221053
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