Evidence map›Paper›PMID 40924298›Full record

SynthesisApoptosis : an international journal on programmed cell death2025

Metabolic cell death in cancer: mechanisms and therapeutic potential.

Yujinpeng Hao, Jun Shao, Naqi Lian, Mianli Bian

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Apoptosis : an international journal on programmed cell death, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Triazole-(RSC advances · 2026
    Article
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

4 authors.

Yujinpeng HaoFirst Clinical College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Jun ShaoFirst Clinical College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Naqi LianSchool of Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Mianli BianSchool of Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023, China. bianmianli@njucm.edu.cn.

Funding

General Projects of the Natural Science Research of Jiangsu Higher Education Institutions 23KJB360011the National Natural Science Foundation of China 82304788the Natural Science Foundation of Jiangsu Province SBK2023044961
6 · The paper itself

Abstract

A defining hallmark of malignant tumours lies in their pronounced resistance to programmed cell death mechanisms. This intrinsic resilience enables cancer cells to circumvent physiological clearance, thereby sustaining unchecked proliferation and survival. Emerging research has revealed that metabolic dysregulation can precipitate a distinctive form of programmed cell death, termed metabolism-linked regulated cell death (RCD), establishing it as a novel paradigm of cellular self-elimination. This systematic review provides an in-depth analysis of the molecular mechanisms orchestrating various metabolic cell death modalities, including pyroptosis, immunogenic cell death (ICD), necroptosis, ferroptosis, cuproptosis, disulfidptosis, lysozincrosis, alkaliptosis, and methuosis. Furthermore, it critically evaluates their therapeutic potential in oncology. By elucidating the intricate interplay among these signalling cascades, this review describes innovative precision medicine strategies that harness metabolism-driven cell death for targeted cancer interventions.

Indexed as

ApoptosisNeoplasmsRegulated Cell DeathAnimalsCell DeathFerroptosisHumansImmunogenic Cell DeathNecroptosisPyroptosisSignal TransductionCancerMetabolic cell deathMolecular mechanismTherapeutic drugs

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.