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Clinical significance and immune landscape of a novel ferroptosis-related prognosis signature in osteosarcoma

BACKGROUND: Osteosarcoma is a malignant tumor that usually occurs in adolescents aged 10–20 years and is associated with poor prognosis. Ferroptosis is an iron-dependent cell death mechanism that plays a vital role in cancer. METHODS: Osteosarcoma transcriptome data were downloaded from the public d...

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Autores principales: Yang, Liyu, Liu, Jiamei, Liu, Shengye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007778/
https://www.ncbi.nlm.nih.gov/pubmed/36899330
http://dx.doi.org/10.1186/s12885-023-10688-7
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author Yang, Liyu
Liu, Jiamei
Liu, Shengye
author_facet Yang, Liyu
Liu, Jiamei
Liu, Shengye
author_sort Yang, Liyu
collection PubMed
description BACKGROUND: Osteosarcoma is a malignant tumor that usually occurs in adolescents aged 10–20 years and is associated with poor prognosis. Ferroptosis is an iron-dependent cell death mechanism that plays a vital role in cancer. METHODS: Osteosarcoma transcriptome data were downloaded from the public database TARGET and from previous studies. A prognostic risk score signature was constructed using bioinformatics analysis, and its efficacy was determined by analyzing typical clinical features. The prognostic signature was then validated with external data. Differences in immune cell infiltration between high- and low-risk groups were analyzed. The potential of the prognostic risk signature as a predictor of immunotherapy response was evaluated using the GSE35640 (melanoma) dataset. Five key genes expression were measured by real-time PCR and western blot in human normal osteoblasts and osteosarcoma cells. Moreover, malignant biological behaviors of osteosarcoma cells were tested by modulating gene expression level. RESULTS: We obtained 268 ferroptosis-related genes from the online database FerrDb and published articles. Transcriptome data and clinical information of 88 samples in the TARGET database were used to classify genes into two categories using clustering analysis, and significant differences in survival status were identified. Differential ferroptosis-related genes were screened, and functional enrichment showed that they were associated with HIF-1, T cells, IL17, and other inflammatory signaling pathways. Prognostic factors were identified by univariate Cox regression and LASSO analysis, and a 5-factor prognostic risk score signature was constructed, which was also applicable for external data validation. Experimental validation indicated that the mRNA and protein expression level of MAP3K5, LURAP1L, HMOX1 and BNIP3 decreased significantly, though meanwhile MUC1 increased in MG-63 and SAOS-2 cells compared with hFOB1.19 cells. Cell proliferation and migration ability of SAOS-2 were affected based on alterations of signature genes. CONCLUSIONS: Significant differences in immune cell infiltration between high- and low-risk groups indicated that the five ferroptosis-related prognostic signature was constructed and could be used to predict the response to immunotherapy in osteosarcoma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-10688-7.
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spelling pubmed-100077782023-03-12 Clinical significance and immune landscape of a novel ferroptosis-related prognosis signature in osteosarcoma Yang, Liyu Liu, Jiamei Liu, Shengye BMC Cancer Research BACKGROUND: Osteosarcoma is a malignant tumor that usually occurs in adolescents aged 10–20 years and is associated with poor prognosis. Ferroptosis is an iron-dependent cell death mechanism that plays a vital role in cancer. METHODS: Osteosarcoma transcriptome data were downloaded from the public database TARGET and from previous studies. A prognostic risk score signature was constructed using bioinformatics analysis, and its efficacy was determined by analyzing typical clinical features. The prognostic signature was then validated with external data. Differences in immune cell infiltration between high- and low-risk groups were analyzed. The potential of the prognostic risk signature as a predictor of immunotherapy response was evaluated using the GSE35640 (melanoma) dataset. Five key genes expression were measured by real-time PCR and western blot in human normal osteoblasts and osteosarcoma cells. Moreover, malignant biological behaviors of osteosarcoma cells were tested by modulating gene expression level. RESULTS: We obtained 268 ferroptosis-related genes from the online database FerrDb and published articles. Transcriptome data and clinical information of 88 samples in the TARGET database were used to classify genes into two categories using clustering analysis, and significant differences in survival status were identified. Differential ferroptosis-related genes were screened, and functional enrichment showed that they were associated with HIF-1, T cells, IL17, and other inflammatory signaling pathways. Prognostic factors were identified by univariate Cox regression and LASSO analysis, and a 5-factor prognostic risk score signature was constructed, which was also applicable for external data validation. Experimental validation indicated that the mRNA and protein expression level of MAP3K5, LURAP1L, HMOX1 and BNIP3 decreased significantly, though meanwhile MUC1 increased in MG-63 and SAOS-2 cells compared with hFOB1.19 cells. Cell proliferation and migration ability of SAOS-2 were affected based on alterations of signature genes. CONCLUSIONS: Significant differences in immune cell infiltration between high- and low-risk groups indicated that the five ferroptosis-related prognostic signature was constructed and could be used to predict the response to immunotherapy in osteosarcoma. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-10688-7. BioMed Central 2023-03-10 /pmc/articles/PMC10007778/ /pubmed/36899330 http://dx.doi.org/10.1186/s12885-023-10688-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Yang, Liyu
Liu, Jiamei
Liu, Shengye
Clinical significance and immune landscape of a novel ferroptosis-related prognosis signature in osteosarcoma
title Clinical significance and immune landscape of a novel ferroptosis-related prognosis signature in osteosarcoma
title_full Clinical significance and immune landscape of a novel ferroptosis-related prognosis signature in osteosarcoma
title_fullStr Clinical significance and immune landscape of a novel ferroptosis-related prognosis signature in osteosarcoma
title_full_unstemmed Clinical significance and immune landscape of a novel ferroptosis-related prognosis signature in osteosarcoma
title_short Clinical significance and immune landscape of a novel ferroptosis-related prognosis signature in osteosarcoma
title_sort clinical significance and immune landscape of a novel ferroptosis-related prognosis signature in osteosarcoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007778/
https://www.ncbi.nlm.nih.gov/pubmed/36899330
http://dx.doi.org/10.1186/s12885-023-10688-7
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