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A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes
Prostate cancer (PCa) is the second most common cancer in males worldwide. The risk stratification of PCa is mainly based on morphological examination. Here we analyzed the proteome of 667 tumor samples from 487 Chinese PCa patients and characterized 9576 protein groups by PulseDIA mass spectrometry...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638831/ https://www.ncbi.nlm.nih.gov/pubmed/37950160 http://dx.doi.org/10.1186/s12014-023-09441-w |
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author | Sun, Rui Tan, Lingling Ding, Xuan A, Jun Xue, Zhangzhi Cai, Xue Li, Sainan Guo, Tiannan |
author_facet | Sun, Rui Tan, Lingling Ding, Xuan A, Jun Xue, Zhangzhi Cai, Xue Li, Sainan Guo, Tiannan |
author_sort | Sun, Rui |
collection | PubMed |
description | Prostate cancer (PCa) is the second most common cancer in males worldwide. The risk stratification of PCa is mainly based on morphological examination. Here we analyzed the proteome of 667 tumor samples from 487 Chinese PCa patients and characterized 9576 protein groups by PulseDIA mass spectrometry. Then we developed a pathway activity-based classifier concerning 13 proteins from seven pathways, and dichotomized the PCa patients into two subtypes, namely PPS1 and PPS2. PPS1 is featured with enhanced innate immunity, while PPS2 with suppressed innate immunity. This classifier exhibited a correlation with PCa progression in our cohort and was further validated by two published transcriptome datasets. Notably, PPS2 was significantly correlated with poor biochemical recurrence (BCR)/metastasis-free survival (log-rank P-value < 0.05). The PPS2 was also featured with cell proliferation activation. Together, our study presents a novel pathway activity-based stratification scheme for PCa. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12014-023-09441-w. |
format | Online Article Text |
id | pubmed-10638831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106388312023-11-11 A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes Sun, Rui Tan, Lingling Ding, Xuan A, Jun Xue, Zhangzhi Cai, Xue Li, Sainan Guo, Tiannan Clin Proteomics Research Prostate cancer (PCa) is the second most common cancer in males worldwide. The risk stratification of PCa is mainly based on morphological examination. Here we analyzed the proteome of 667 tumor samples from 487 Chinese PCa patients and characterized 9576 protein groups by PulseDIA mass spectrometry. Then we developed a pathway activity-based classifier concerning 13 proteins from seven pathways, and dichotomized the PCa patients into two subtypes, namely PPS1 and PPS2. PPS1 is featured with enhanced innate immunity, while PPS2 with suppressed innate immunity. This classifier exhibited a correlation with PCa progression in our cohort and was further validated by two published transcriptome datasets. Notably, PPS2 was significantly correlated with poor biochemical recurrence (BCR)/metastasis-free survival (log-rank P-value < 0.05). The PPS2 was also featured with cell proliferation activation. Together, our study presents a novel pathway activity-based stratification scheme for PCa. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12014-023-09441-w. BioMed Central 2023-11-11 /pmc/articles/PMC10638831/ /pubmed/37950160 http://dx.doi.org/10.1186/s12014-023-09441-w 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 Sun, Rui Tan, Lingling Ding, Xuan A, Jun Xue, Zhangzhi Cai, Xue Li, Sainan Guo, Tiannan A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes |
title | A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes |
title_full | A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes |
title_fullStr | A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes |
title_full_unstemmed | A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes |
title_short | A pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes |
title_sort | pathway activity-based proteomic classifier stratifies prostate tumors into two subtypes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638831/ https://www.ncbi.nlm.nih.gov/pubmed/37950160 http://dx.doi.org/10.1186/s12014-023-09441-w |
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