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A novel autophagy-related genes prognostic risk model and validation of autophagy-related oncogene VPS35 in breast cancer

BACKGROUND: Accumulating evidence implies that autophagy plays a critical role in breast cancer development and progression. It is crucial to screen out autophagy-related encoding genes (ARGs) with prognostic value in breast cancer and reveal their biological properties in the aggressiveness of brea...

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Autores principales: Li, Xiaoying, Cao, Yu, Yu, Xinmiao, Jin, Feng, Li, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130280/
https://www.ncbi.nlm.nih.gov/pubmed/34001111
http://dx.doi.org/10.1186/s12935-021-01970-4
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author Li, Xiaoying
Cao, Yu
Yu, Xinmiao
Jin, Feng
Li, Yang
author_facet Li, Xiaoying
Cao, Yu
Yu, Xinmiao
Jin, Feng
Li, Yang
author_sort Li, Xiaoying
collection PubMed
description BACKGROUND: Accumulating evidence implies that autophagy plays a critical role in breast cancer development and progression. It is crucial to screen out autophagy-related encoding genes (ARGs) with prognostic value in breast cancer and reveal their biological properties in the aggressiveness of breast cancer. METHODS: Univariate and multivariate Cox proportional hazards analyses were used to identify a prognostic risk model of ARGs from The Cancer Genome Atlas (TCGA). Kaplan–Meier analysis, univariate and multivariate Cox regression analyses and receiver operating characteristic (ROC) curve analysis were performed to validate the risk model. Western blot and immunohistochemistry (IHC) were conducted to assess the expression of VPS35 (one of ARGs in risk model). CCK8, Colony formation assay, Transwell migration/invasion assays and autophagy flux assay were used to confirm biological function of VPS35 in breast cancer. RESULTS: In this study, the prognostic risk model consisting of six ARGs (VPS35, TRIM21, PRKAB2, RUFY4, MAP1LC3A and LARP1) in breast cancer were identified. The risk model was further verified as a novel independent prognostic factor for breast cancer patients. We also clarified that vacuolar protein sorting-associated protein 35 (VPS35), one of ARGs in the risk model, was upregulated in breast cancer samples and cell lines. VPS35 overexpression was correlated with more aggressive phenotype of breast cancer and indicated worse prognosis in both progression-free survival and overall survival analyses. Meanwhile, VPS35 knockdown inhibited breast cancer cell proliferation, migration and invasion, suggesting that VPS35 promoted the progression of breast cancer. VPS35 silence also influenced autophagy process, indicating that VPS35 was essential for autophagy completion. CONCLUSION: Taken together, the six ARGs risk model has a remarkably prognostic value for breast cancer. Among them, VPS35 might exert as a significant oncogenic and prognostic factor for breast cancer and could be a promising autophagy-related therapeutic target in clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-021-01970-4.
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spelling pubmed-81302802021-05-18 A novel autophagy-related genes prognostic risk model and validation of autophagy-related oncogene VPS35 in breast cancer Li, Xiaoying Cao, Yu Yu, Xinmiao Jin, Feng Li, Yang Cancer Cell Int Primary Research BACKGROUND: Accumulating evidence implies that autophagy plays a critical role in breast cancer development and progression. It is crucial to screen out autophagy-related encoding genes (ARGs) with prognostic value in breast cancer and reveal their biological properties in the aggressiveness of breast cancer. METHODS: Univariate and multivariate Cox proportional hazards analyses were used to identify a prognostic risk model of ARGs from The Cancer Genome Atlas (TCGA). Kaplan–Meier analysis, univariate and multivariate Cox regression analyses and receiver operating characteristic (ROC) curve analysis were performed to validate the risk model. Western blot and immunohistochemistry (IHC) were conducted to assess the expression of VPS35 (one of ARGs in risk model). CCK8, Colony formation assay, Transwell migration/invasion assays and autophagy flux assay were used to confirm biological function of VPS35 in breast cancer. RESULTS: In this study, the prognostic risk model consisting of six ARGs (VPS35, TRIM21, PRKAB2, RUFY4, MAP1LC3A and LARP1) in breast cancer were identified. The risk model was further verified as a novel independent prognostic factor for breast cancer patients. We also clarified that vacuolar protein sorting-associated protein 35 (VPS35), one of ARGs in the risk model, was upregulated in breast cancer samples and cell lines. VPS35 overexpression was correlated with more aggressive phenotype of breast cancer and indicated worse prognosis in both progression-free survival and overall survival analyses. Meanwhile, VPS35 knockdown inhibited breast cancer cell proliferation, migration and invasion, suggesting that VPS35 promoted the progression of breast cancer. VPS35 silence also influenced autophagy process, indicating that VPS35 was essential for autophagy completion. CONCLUSION: Taken together, the six ARGs risk model has a remarkably prognostic value for breast cancer. Among them, VPS35 might exert as a significant oncogenic and prognostic factor for breast cancer and could be a promising autophagy-related therapeutic target in clinical practice. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-021-01970-4. BioMed Central 2021-05-17 /pmc/articles/PMC8130280/ /pubmed/34001111 http://dx.doi.org/10.1186/s12935-021-01970-4 Text en © The Author(s) 2021 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 Primary Research
Li, Xiaoying
Cao, Yu
Yu, Xinmiao
Jin, Feng
Li, Yang
A novel autophagy-related genes prognostic risk model and validation of autophagy-related oncogene VPS35 in breast cancer
title A novel autophagy-related genes prognostic risk model and validation of autophagy-related oncogene VPS35 in breast cancer
title_full A novel autophagy-related genes prognostic risk model and validation of autophagy-related oncogene VPS35 in breast cancer
title_fullStr A novel autophagy-related genes prognostic risk model and validation of autophagy-related oncogene VPS35 in breast cancer
title_full_unstemmed A novel autophagy-related genes prognostic risk model and validation of autophagy-related oncogene VPS35 in breast cancer
title_short A novel autophagy-related genes prognostic risk model and validation of autophagy-related oncogene VPS35 in breast cancer
title_sort novel autophagy-related genes prognostic risk model and validation of autophagy-related oncogene vps35 in breast cancer
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130280/
https://www.ncbi.nlm.nih.gov/pubmed/34001111
http://dx.doi.org/10.1186/s12935-021-01970-4
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