Evidence map›Paper›PMID 40841819›Full record

ReviewCancer gene therapy2025

PANoptosis in cancer: molecular mechanisms and therapeutic potential.

Xi Pu, Yuting Wu, Chen Peng, Xinyu Sun, Hao Zuo, Xiao Yuan, Xu Wang, Min Xu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cancer gene therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

8 authors.

Xi Pu *Department of Gastroenterology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China.
Yuting Wu *Department of Gastroenterology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China.
Chen Peng *Nanjing Medical University, Jiangsu Cancer Hospital, Nanjing, Jiangsu Province, China.
Xinyu Sun *Department of Radiation Oncology, Institute of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China.
Hao ZuoLaboratory Department, Zhenjiang Central Blood Station, Zhenjiang, Jiangsu Province, China.
Xiao YuanDepartment of Radiation Oncology, Institute of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China.
Xu WangDepartment of Radiation Oncology, Institute of Oncology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China. jsdxwx@126.com.
Min XuDepartment of Gastroenterology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China. 1000011016@ujs.edu.cn.ORCID http://orcid.org/0000-0002-5587-5520

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumorigenesis is closely related to an imbalance in cell death regulation. PANoptosis is a recently characterized form of programmed cell death that integrates the molecular features of cellular pyroptosis, apoptosis and necrotic apoptosis through the assembly of a multiprotein complex termed the PANoptosome. Beyond its role in cancer initiation and progression, PANoptosis is intricately linked to immune responses within the tumor microenvironment, thus offering new avenues for therapeutic intervention. The present review outlines the interplay among different cell death pathways, highlights the defining characteristics and assembly mechanisms of PANoptosis, as well as discusses its functional roles in cancer biology. Additionally, the implications of PANoptosis in tumor immunity and the potential of targeting this pathway in cancer therapy are explored.

Indexed as

NeoplasmsAnimalsApoptosisHumansPyroptosisTumor Microenvironment

Identifiers

PMID40841819

What OpenQuestion holds

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Registered trials

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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.