Dissecting regulated cell death states and transformation mechanisms in the evolutionary trajectory of 30 cancers

Summary: Cancer is a heterogeneous disease driven by dysregulated cell death, which influences tumor progression and treatment responses. It is important to construct a systematic landscape that characterizes the dysregulation of regulated cell death (RCD) in tumor cells and accurately depicts the e...

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Main Authors: Yunpeng Zhang, Qi Ou, Congxue Hu, Chuo Peng, Tengyue Li, Xiaozhi Huang, Kuan Yang, Liyuan Li, Xia Li, Yingqi Xu
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:iScience
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Online Access:http://www.sciencedirect.com/science/article/pii/S2589004225014622
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author Yunpeng Zhang
Qi Ou
Congxue Hu
Chuo Peng
Tengyue Li
Xiaozhi Huang
Kuan Yang
Liyuan Li
Xia Li
Yingqi Xu
author_facet Yunpeng Zhang
Qi Ou
Congxue Hu
Chuo Peng
Tengyue Li
Xiaozhi Huang
Kuan Yang
Liyuan Li
Xia Li
Yingqi Xu
author_sort Yunpeng Zhang
collection DOAJ
description Summary: Cancer is a heterogeneous disease driven by dysregulated cell death, which influences tumor progression and treatment responses. It is important to construct a systematic landscape that characterizes the dysregulation of regulated cell death (RCD) in tumor cells and accurately depicts the evolutionary relationships between different cell death types within these cells. Using single-cell analysis tools, we analyzed 477,766 tumor cells from 458 samples across 30 cancer types and identified 178 relationships between 15 RCD states and cancers. Pyroptosis and immunogenic cell death were found to be prevalent in most cancer types, especially skin, hematologic, digestive, urological, and lung cancers. We identified 37 significant interaction patterns, 22 transformation modules, and 153 driver genes linked to RCD evolution in 23 cancer types. Additionally, we developed “Secret,” a visual platform for RCD-related research. This study highlights the role of RCD in cancer progression and provides insights for targeted RCD-based therapies.
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issn 2589-0042
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publishDate 2025-08-01
publisher Elsevier
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series iScience
spelling doaj-art-e75702271cf24518902e9b97a46f5c3a2025-08-20T03:45:10ZengElsevieriScience2589-00422025-08-0128811320110.1016/j.isci.2025.113201Dissecting regulated cell death states and transformation mechanisms in the evolutionary trajectory of 30 cancersYunpeng Zhang0Qi Ou1Congxue Hu2Chuo Peng3Tengyue Li4Xiaozhi Huang5Kuan Yang6Liyuan Li7Xia Li8Yingqi Xu9College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China; Corresponding authorCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China; Corresponding authorCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China; Corresponding authorSummary: Cancer is a heterogeneous disease driven by dysregulated cell death, which influences tumor progression and treatment responses. It is important to construct a systematic landscape that characterizes the dysregulation of regulated cell death (RCD) in tumor cells and accurately depicts the evolutionary relationships between different cell death types within these cells. Using single-cell analysis tools, we analyzed 477,766 tumor cells from 458 samples across 30 cancer types and identified 178 relationships between 15 RCD states and cancers. Pyroptosis and immunogenic cell death were found to be prevalent in most cancer types, especially skin, hematologic, digestive, urological, and lung cancers. We identified 37 significant interaction patterns, 22 transformation modules, and 153 driver genes linked to RCD evolution in 23 cancer types. Additionally, we developed “Secret,” a visual platform for RCD-related research. This study highlights the role of RCD in cancer progression and provides insights for targeted RCD-based therapies.http://www.sciencedirect.com/science/article/pii/S2589004225014622cancer systems biology
spellingShingle Yunpeng Zhang
Qi Ou
Congxue Hu
Chuo Peng
Tengyue Li
Xiaozhi Huang
Kuan Yang
Liyuan Li
Xia Li
Yingqi Xu
Dissecting regulated cell death states and transformation mechanisms in the evolutionary trajectory of 30 cancers
iScience
cancer systems biology
title Dissecting regulated cell death states and transformation mechanisms in the evolutionary trajectory of 30 cancers
title_full Dissecting regulated cell death states and transformation mechanisms in the evolutionary trajectory of 30 cancers
title_fullStr Dissecting regulated cell death states and transformation mechanisms in the evolutionary trajectory of 30 cancers
title_full_unstemmed Dissecting regulated cell death states and transformation mechanisms in the evolutionary trajectory of 30 cancers
title_short Dissecting regulated cell death states and transformation mechanisms in the evolutionary trajectory of 30 cancers
title_sort dissecting regulated cell death states and transformation mechanisms in the evolutionary trajectory of 30 cancers
topic cancer systems biology
url http://www.sciencedirect.com/science/article/pii/S2589004225014622
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