Evidence map›Paper›PMID 40693608›Full record

ArticleCancer research communications2025

Evaluation of Ferroptosis as a Biomarker to Predict Treatment Outcomes of Cancer Immunotherapy.

Zhijun Zhou, Yang Cai, Hao Yuan, Qun Chen, Sophia W Zhao, Jingxuan Yang, Mingyang Liu, Alex X Arreola, Yu Ren, Chao Xu and 7 more

Abstract read
In one paragraph

Article in Cancer research communications, 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. Review
  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

17 authors.

Zhijun Zhou *Department of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0000-0003-2226-2223
Yang Cai *Department of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0009-0008-3428-1855
Hao Yuan *Department of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0009-0007-4848-3354
Qun Chen *Department of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0009-0008-1782-6999
Sophia W ZhaoDepartment of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0009-0006-1400-7061
Jingxuan YangDepartment of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0000-0003-3265-161X
Mingyang LiuDepartment of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0000-0001-9121-2591
Alex X ArreolaDepartment of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0009-0002-8854-2295
Yu RenDepartment of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0000-0003-3066-5209
Chao XuDepartment of Biostatistics and Epidemiology, Hudson College of Public Health, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0000-0002-3821-6187
Lacey R McNallyDepartment of Surgery, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0000-0001-6756-129X
Michael S BronzeDepartment of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0000-0002-8770-0872
Courtney W HouchenDepartment of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0000-0003-2487-5242
Kuirong JiangPancreas Center, The Frist Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0002-2849-5450
Wei R ChenStephenson School of Biomedical Engineering, The University of Oklahoma, Norman, Oklahoma.ORCID 0000-0002-7133-5794
Yuqing ZhangDepartment of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0000-0001-8839-4849
Min LiDepartment of Medicine, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma.ORCID 0000-0002-3971-9130

Funding

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ROBERT S. MANNEL · 2018 to 2026
$27.1M
Prognostic Biomarkers for ZIP4-mediated Cachexia in Pancreatic CancerR01CA203108 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI LI, MIN, LI, YI-PING · 2016 to 2020
$2.7M
ZIP4 is a Novel Molecular Target in Human Pancreatic CancerR01CA186338 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI FERNANDEZ-ZAPICO, MARTIN ERNESTO, LI, MIN · 2015 to 2019
$1.7M
Role of Zinc Dependent EMT-Transcription Factors (EMT-TF) in Pancreatic Cancer MetastasisR01CA247234 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI LI, MIN · 2020 to 2024
$1.6M
NCI NIH HHS P30 CA225520NCI NIH HHS R01 CA186338NCI NIH HHS R01 CA203108NCI NIH HHS R01 CA247234
6 · The paper itself

Abstract

Immunotherapy has revolutionized the treatment paradigms of several cancer types, yet only a subset of patients derives durable clinical benefit. Ferroptosis is a programmed cell death facilitated by iron-driven overload of lipid peroxidation. We aimed to evaluate ferroptosis activity based on tumor transcriptomic profiles to determine its predictive value for immunotherapy outcomes. We analyzed RNA sequencing data from eight independent cohorts of patients with urothelial, gastric, skin, and lung cancers treated with immune checkpoint inhibitors or adoptive T-cell therapy. A ferroptosis activity model was constructed using downstream gene expression signatures. Associations with overall survival and progression-free survival were assessed. Potential mechanisms were explored by examining immunosenescence, the IFN-γ immune response pathway, and immunogenic cell death. Ferroptosis-high tumors were associated with significantly improved overall survival and progression-free survival across multiple cancer types. Integrating ferroptosis scores with tumor mutation burden, liver metastasis status, and immune microenvironment phenotypes (inflamed, excluded, desert) enhanced patient stratification and predictive accuracy. Mechanistically, ferroptosis enhanced the immune response by promoting immunogenic cell death and attenuating immunosenescence. In conclusion, elevated ferroptosis activity correlates with improved immunotherapy outcomes, potentially through increased tumor immunogenicity and reduced immunosenescence. Ferroptosis-based biomarkers may aid in identifying patients more likely to benefit from immunotherapy. SIGNIFICANCE: Ferroptosis, an iron-dependent cell death process, is linked to improved immunotherapy outcomes. In this real-world study across eight cohorts, ferroptosis-high tumors showed 2 to 3 times longer survival. Mechanistically, ferroptosis enhanced immunogenicity and suppressed immunosenescence, highlighting its potential as a biomarker and therapeutic target to boost immunotherapy efficacy.

Indexed as

Biomarkers, TumorFerroptosisImmunotherapyNeoplasmsFemaleHumansImmune Checkpoint InhibitorsMalePrognosisTreatment OutcomeTumor MicroenvironmentBiomarkers, TumorImmune Checkpoint Inhibitors

Identifiers

PMID40693608
PMCPMC12326525

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.