Membraneless organelles-based integrative analysis constructs an immune-related prognostic signature and identifies NRG1 as a novel methylation biomarker in colorectal cancer

Our integrated multi-omics analysis constructed the MPRS model to delineate CRC tumor ecology and identified NRG1 as a methylation biomarker with predicted phase-separation propensity, with potential therapeutic implications that warrant prospective validation.

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Publication Details

Journal
Frontiers in Immunology
Published
2025-10-20
DOI
https://doi.org/10.3389/fimmu.2025.1678096
Citations
2
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
1.87
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article

Membraneless organelles-based integrative analysis constructs an immune-related prognostic signature and identifies NRG1 as a novel methylation biomarker in colorectal cancer

Nanting Chen, Yuanyuan Wan, Weilong Chen, Rui Luo et al.
2 citations
Frontiers in Immunology
Cancer-related molecular mechanisms research
1.87
article

Membraneless organelles-based integrative analysis constructs an immune-related prognostic signature and identifies NRG1 as a novel methylation biomarker in colorectal cancer

Nanting Chen, Yuanyuan Wan, Weilong Chen, Rui Luo, Xinyi Zhu, N Y Wang, Chengxi Zhang, Qinan Yin, Susan Luo, Guodong Liu, Xue Chen, Jingsong Cheng, Ziheng Zheng
article en
2 citations

Abstract

Our integrated multi-omics analysis constructed the MPRS model to delineate CRC tumor ecology and identified NRG1 as a methylation biomarker with predicted phase-separation propensity, with potential therapeutic implications that warrant prospective validation.

Frontiers in ImmunologyVol. 16
Sun Yat-sen University (CN), Dalian Medical University (CN), Second Affiliated Hospital of Chongqing Medical University (CN), The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Sun Yat-sen University Cancer Center (CN), First People's Hospital of Chongqing (CN), Guhua Hospital (CN), Chongqing Medical University (CN)
Openalex Percentile: Top 12%
Cancer-related molecular mechanisms research
1.87
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