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An autophagy-related gene prognostic index predicting biochemical recurrence, metastasis, and drug resistance for prostate cancer
Given the dual role of autophagy presenting in tumorigenesis and inhibition, we established an autophagy-related gene prognostic index (ARGPI) with validation to well predict the biochemical recurrence (BCR), metastasis, as well as chemoresistance for patients with prostate cancer (PCa) who underwen...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069683/ https://www.ncbi.nlm.nih.gov/pubmed/36412461 http://dx.doi.org/10.4103/aja202281 |
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author | Zhu, Wei-Zhen Feng, De-Chao Xiong, Qiao Shi, Xu Zhang, Fa-Cai Wei, Qiang Yang, Lu |
author_facet | Zhu, Wei-Zhen Feng, De-Chao Xiong, Qiao Shi, Xu Zhang, Fa-Cai Wei, Qiang Yang, Lu |
author_sort | Zhu, Wei-Zhen |
collection | PubMed |
description | Given the dual role of autophagy presenting in tumorigenesis and inhibition, we established an autophagy-related gene prognostic index (ARGPI) with validation to well predict the biochemical recurrence (BCR), metastasis, as well as chemoresistance for patients with prostate cancer (PCa) who underwent radical radiotherapy or prostatectomy. Then, Lasso and COX regression was used to develop the ARGPI. We performed the whole analyses through R packages (version 3.6.3). Secreted phosphoprotein 1 (SPP1), single-minded 2 (SIM2), serine protease inhibitor b5 (SERPINB5), aldehyde dehydrogenase 2 (ALDH2), and acyl-CoA synthetase long-chain 3 (ACSL3) were eventually used to establish the ARGPI score. Patients were divided into two different-risk groups based on the median ARGPI score, high-risk patients with a higher risk of BCR than low-risk patients (hazard ratio [HR]: 5.46, 95% confidence interval [CI]: 3.23–9.24). The risk of metastasis of high-risk patients was higher than low-risk patients (HR: 11.31, 95% CI: 4.89–26.12). In The Cancer Genome Atlas (TCGA) dataset, we observed similar prognostic value of ARGPI in terms of BCR-free survival (HR: 1.79, 95% CI: 1.07–2.99) and metastasis-free survival (HR: 1.80, 95% CI: 1.16–2.78). ARGPI score showed a diagnostic accuracy of 0.703 for drug resistance. Analysis of gene set enrichment analysis (GSEA) indicated that patients in the high-risk group were significantly positively related to interleukin (IL)-18 signaling pathway. Moreover, ARGPI score was significantly related to cancer-related fibroblasts (CAFs; r = 0.36), macrophages (r = 0.28), stromal score (r = 0.38), immune score (r = 0.35), estimate score (r = 0.39), as well as tumor purity (r = −0.39; all P < 0.05). Drug analysis showed that PI-103 was the common sensitive drug and cell line analysis indicated that PC3 was the common cell line of PI-103 and the definitive gene. In conclusion, we found that ARGPI could predict BCR, metastasis, and chemoresistance in PCa patients who underwent radical radiotherapy or prostatectomy. |
format | Online Article Text |
id | pubmed-10069683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-100696832023-04-04 An autophagy-related gene prognostic index predicting biochemical recurrence, metastasis, and drug resistance for prostate cancer Zhu, Wei-Zhen Feng, De-Chao Xiong, Qiao Shi, Xu Zhang, Fa-Cai Wei, Qiang Yang, Lu Asian J Androl Invited Original Article Given the dual role of autophagy presenting in tumorigenesis and inhibition, we established an autophagy-related gene prognostic index (ARGPI) with validation to well predict the biochemical recurrence (BCR), metastasis, as well as chemoresistance for patients with prostate cancer (PCa) who underwent radical radiotherapy or prostatectomy. Then, Lasso and COX regression was used to develop the ARGPI. We performed the whole analyses through R packages (version 3.6.3). Secreted phosphoprotein 1 (SPP1), single-minded 2 (SIM2), serine protease inhibitor b5 (SERPINB5), aldehyde dehydrogenase 2 (ALDH2), and acyl-CoA synthetase long-chain 3 (ACSL3) were eventually used to establish the ARGPI score. Patients were divided into two different-risk groups based on the median ARGPI score, high-risk patients with a higher risk of BCR than low-risk patients (hazard ratio [HR]: 5.46, 95% confidence interval [CI]: 3.23–9.24). The risk of metastasis of high-risk patients was higher than low-risk patients (HR: 11.31, 95% CI: 4.89–26.12). In The Cancer Genome Atlas (TCGA) dataset, we observed similar prognostic value of ARGPI in terms of BCR-free survival (HR: 1.79, 95% CI: 1.07–2.99) and metastasis-free survival (HR: 1.80, 95% CI: 1.16–2.78). ARGPI score showed a diagnostic accuracy of 0.703 for drug resistance. Analysis of gene set enrichment analysis (GSEA) indicated that patients in the high-risk group were significantly positively related to interleukin (IL)-18 signaling pathway. Moreover, ARGPI score was significantly related to cancer-related fibroblasts (CAFs; r = 0.36), macrophages (r = 0.28), stromal score (r = 0.38), immune score (r = 0.35), estimate score (r = 0.39), as well as tumor purity (r = −0.39; all P < 0.05). Drug analysis showed that PI-103 was the common sensitive drug and cell line analysis indicated that PC3 was the common cell line of PI-103 and the definitive gene. In conclusion, we found that ARGPI could predict BCR, metastasis, and chemoresistance in PCa patients who underwent radical radiotherapy or prostatectomy. Wolters Kluwer - Medknow 2022-11-11 /pmc/articles/PMC10069683/ /pubmed/36412461 http://dx.doi.org/10.4103/aja202281 Text en Copyright: © The Author(s)(2022) https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Invited Original Article Zhu, Wei-Zhen Feng, De-Chao Xiong, Qiao Shi, Xu Zhang, Fa-Cai Wei, Qiang Yang, Lu An autophagy-related gene prognostic index predicting biochemical recurrence, metastasis, and drug resistance for prostate cancer |
title | An autophagy-related gene prognostic index predicting biochemical recurrence, metastasis, and drug resistance for prostate cancer |
title_full | An autophagy-related gene prognostic index predicting biochemical recurrence, metastasis, and drug resistance for prostate cancer |
title_fullStr | An autophagy-related gene prognostic index predicting biochemical recurrence, metastasis, and drug resistance for prostate cancer |
title_full_unstemmed | An autophagy-related gene prognostic index predicting biochemical recurrence, metastasis, and drug resistance for prostate cancer |
title_short | An autophagy-related gene prognostic index predicting biochemical recurrence, metastasis, and drug resistance for prostate cancer |
title_sort | autophagy-related gene prognostic index predicting biochemical recurrence, metastasis, and drug resistance for prostate cancer |
topic | Invited Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10069683/ https://www.ncbi.nlm.nih.gov/pubmed/36412461 http://dx.doi.org/10.4103/aja202281 |
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