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A precise molecular subtyping of ulcerative colitis reveals the immune heterogeneity and predicts clinical drug responses
BACKGROUND AND AIMS: We sought to identify novel molecular subtypes of ulcerative colitis (UC) based on large-scale cohorts and establish a clinically applicable subtyping system for the precision treatment of the disease. METHODS: Eight microarray profiles containing colon samples from 357 patients...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347743/ https://www.ncbi.nlm.nih.gov/pubmed/37443022 http://dx.doi.org/10.1186/s12967-023-04326-w |
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author | Mo, Shaocong Jin, Bryan Tseng, Yujen Lin, Lingxi Lin, Lishuang Shen, Xin Song, Huan Kong, Mingjia Luo, Zhongguang Chu, Yiwei Jiang, Chen Cao, Zhiwei Liu, Jie Luo, Feifei |
author_facet | Mo, Shaocong Jin, Bryan Tseng, Yujen Lin, Lingxi Lin, Lishuang Shen, Xin Song, Huan Kong, Mingjia Luo, Zhongguang Chu, Yiwei Jiang, Chen Cao, Zhiwei Liu, Jie Luo, Feifei |
author_sort | Mo, Shaocong |
collection | PubMed |
description | BACKGROUND AND AIMS: We sought to identify novel molecular subtypes of ulcerative colitis (UC) based on large-scale cohorts and establish a clinically applicable subtyping system for the precision treatment of the disease. METHODS: Eight microarray profiles containing colon samples from 357 patients were utilized. Expression heterogeneity was screened out and stable subtypes were identified among UC patients. Immune infiltration pattern and biological agent response were compared among subtypes to assess the value in guiding treatment. The relationship between PRLR and TNFSF13B genes with the highest predictive value was further validated by functional experiments. RESULTS: Three stable molecular subtypes were successfully identified. Immune cell infiltration analysis defined three subtypes as innate immune activated UC (IIA), whole immune activated UC (WIA), and immune homeostasis like UC (IHL). Notably, the response rate towards biological agents (infliximab/vedolizumab) in WIA patients was the lowest (less than 10%), while the response rate in IHL patients was the highest, ranging from 42 to 60%. Among the featured genes of subtypes, the ratio of PRLR to TNFSF13B could effectively screen for IHL UC subtype suitable for biological agent therapies (Area under curve: 0.961–0.986). Furthermore, we demonstrated that PRLR expressed in epithelial cells could inhibit the expression of TNFSF13B in monocyte-derived macrophages through the CXCL1-NF-κB pathway. CONCLUSIONS: We identified three stable UC subtypes with a heterogeneous immune pattern and different response rates towards biological agents for the first time. We also established a precise molecular subtyping system and classifier to predict clinical drug response and provide individualized treatment strategies for UC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04326-w. |
format | Online Article Text |
id | pubmed-10347743 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103477432023-07-15 A precise molecular subtyping of ulcerative colitis reveals the immune heterogeneity and predicts clinical drug responses Mo, Shaocong Jin, Bryan Tseng, Yujen Lin, Lingxi Lin, Lishuang Shen, Xin Song, Huan Kong, Mingjia Luo, Zhongguang Chu, Yiwei Jiang, Chen Cao, Zhiwei Liu, Jie Luo, Feifei J Transl Med Research BACKGROUND AND AIMS: We sought to identify novel molecular subtypes of ulcerative colitis (UC) based on large-scale cohorts and establish a clinically applicable subtyping system for the precision treatment of the disease. METHODS: Eight microarray profiles containing colon samples from 357 patients were utilized. Expression heterogeneity was screened out and stable subtypes were identified among UC patients. Immune infiltration pattern and biological agent response were compared among subtypes to assess the value in guiding treatment. The relationship between PRLR and TNFSF13B genes with the highest predictive value was further validated by functional experiments. RESULTS: Three stable molecular subtypes were successfully identified. Immune cell infiltration analysis defined three subtypes as innate immune activated UC (IIA), whole immune activated UC (WIA), and immune homeostasis like UC (IHL). Notably, the response rate towards biological agents (infliximab/vedolizumab) in WIA patients was the lowest (less than 10%), while the response rate in IHL patients was the highest, ranging from 42 to 60%. Among the featured genes of subtypes, the ratio of PRLR to TNFSF13B could effectively screen for IHL UC subtype suitable for biological agent therapies (Area under curve: 0.961–0.986). Furthermore, we demonstrated that PRLR expressed in epithelial cells could inhibit the expression of TNFSF13B in monocyte-derived macrophages through the CXCL1-NF-κB pathway. CONCLUSIONS: We identified three stable UC subtypes with a heterogeneous immune pattern and different response rates towards biological agents for the first time. We also established a precise molecular subtyping system and classifier to predict clinical drug response and provide individualized treatment strategies for UC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-023-04326-w. BioMed Central 2023-07-13 /pmc/articles/PMC10347743/ /pubmed/37443022 http://dx.doi.org/10.1186/s12967-023-04326-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 Mo, Shaocong Jin, Bryan Tseng, Yujen Lin, Lingxi Lin, Lishuang Shen, Xin Song, Huan Kong, Mingjia Luo, Zhongguang Chu, Yiwei Jiang, Chen Cao, Zhiwei Liu, Jie Luo, Feifei A precise molecular subtyping of ulcerative colitis reveals the immune heterogeneity and predicts clinical drug responses |
title | A precise molecular subtyping of ulcerative colitis reveals the immune heterogeneity and predicts clinical drug responses |
title_full | A precise molecular subtyping of ulcerative colitis reveals the immune heterogeneity and predicts clinical drug responses |
title_fullStr | A precise molecular subtyping of ulcerative colitis reveals the immune heterogeneity and predicts clinical drug responses |
title_full_unstemmed | A precise molecular subtyping of ulcerative colitis reveals the immune heterogeneity and predicts clinical drug responses |
title_short | A precise molecular subtyping of ulcerative colitis reveals the immune heterogeneity and predicts clinical drug responses |
title_sort | precise molecular subtyping of ulcerative colitis reveals the immune heterogeneity and predicts clinical drug responses |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347743/ https://www.ncbi.nlm.nih.gov/pubmed/37443022 http://dx.doi.org/10.1186/s12967-023-04326-w |
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