Evidence map›Paper›PMID 41341541›Full record

ArticleiScience2025

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

Yunpeng Zhang, Qi Ou, Congxue Hu, Chuo Peng, Tengyue Li, Xiaozhi Huang, Kuan Yang, Liyuan Li, Xia Li, Yingqi Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yunpeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Qi OuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Congxue HuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Chuo PengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Tengyue LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Xiaozhi HuangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Kuan YangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Liyuan LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Yingqi XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

cancer systems biology

Identifiers

PMID41341541
PMCPMC12670244

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.