Evidence map›Paper›PMID 42254126›Full record

ArticleAnnals of medicine and surgery (2012)2026

Disulfidptosis: The metabolic Achilles' heel of SLC7A11-high tumors and why oncology has missed it.

Mirza Muhammad Hadeed Khawar, Irum Naeem, Sifat Ullah Safi, Muneeb Khawar

Abstract readLetter
In one paragraph

Article in Annals of medicine and surgery (2012), 2026. 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

4 authors.

Mirza Muhammad Hadeed KhawarDepartment of Medicine, Services Institute of Medical Sciences, Lahore, Pakistan.
Irum NaeemDepartment of Medicine, King Edward Medical University, Lahore, Pakistan.
Sifat Ullah SafiDepartment of Medicine, Kabul Medical University, Kabul, Afghanistan.ORCID https://orcid.org/0009-0000-9404-2065
Muneeb KhawarDepartment of Medicine, King Edward Medical University, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SLC7A11 overexpression is one of the most consistent features of treatment-resistant solid tumors, yet its metabolic liabilities remain therapeutically unexploited. Tumors that upregulate SLC7A11 import large quantities of cystine to fuel glutathione synthesis and resist ferroptosis, a strategy that renders them addicted to glucose-derived NADPH for disulfide reduction. Under glucose limitation, NADPH depletion causes toxic cystine accumulation, aberrant disulfide bonding of actin cytoskeletal proteins, F-actin collapse, and a distinct form of regulated cell death termed disulfidptosis. First characterized in 2023, disulfidptosis operates independently of caspases, lipid peroxidation, and reactive oxygen species, and cannot be rescued by inhibitors of apoptosis, ferroptosis, or necroptosis. Recent evidence shows that this pathway extends beyond cancer cells: intratumoral CD8+ T cells undergo SLC7A11-dependent disulfidptosis, contributing to T cell exhaustion and immune evasion. Glucose transporter inhibitors such as BAY-876 selectively trigger disulfidptosis in SLC7A11-high patient-derived xenografts while sparing SLC7A11-low tumors. Despite this, no clinical oncology framework currently stratifies patients by SLC7A11-dependent metabolic vulnerability, and no disulfidptosis-targeting agent has entered clinical trials. Challenges include the absence of validated

Indexed as

actin cytoskeletondisulfidptosisglucose deprivationNADPHprecision oncologySLC7A11

Identifiers

PMID42254126
PMCPMC13236342

What OpenQuestion holds

Textmetadata
LicenceCC BY-SA
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.