Evidence map›Paper›PMID 41133938›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Stimuli-Responsive CuFeTe

Molin Liu, Jian Zheng, Mengqi Yu, Qirui Wang, Yi Yuan, Nannan Shao, Xiaoliang Yang, Tianxi Shen, Li Wang, Aiyun Li and 5 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Stimuli-Responsive CuFeTeAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  13. Article
  14. Research (Washington, D.C.) · 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

15 authors.

Molin LiuDepartment of Cardiology, the First Hospital of Shanxi Medical University, and Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, 030001, China.
Jian ZhengShanxi Province Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, 030001, China.
Mengqi YuKey Laboratory of Big Data-Based Precision Medicine of Ministry of Industry and Information Technology, School of Engineering Medicine, Beihang University, Beijing, 100191, China.
Qirui WangKey Laboratory of Big Data-Based Precision Medicine of Ministry of Industry and Information Technology, School of Engineering Medicine, Beihang University, Beijing, 100191, China.
Yi YuanDepartment of Cardiology, the First Hospital of Shanxi Medical University, and Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, 030001, China.
Nannan ShaoCAS Key Laboratory for Nano-Bio Interface, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China.
Xiaoliang YangCAS Key Laboratory for Nano-Bio Interface, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China.
Tianxi ShenNanchang People's Hospital, Nanchang, 330000, China.
Li WangCAS Key Laboratory for Nano-Bio Interface, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou, 215123, China.
Aiyun LiDepartment of Cardiology, the First Hospital of Shanxi Medical University, and Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, 030001, China.
Rui LiuDepartment of Cardiology, the First Hospital of Shanxi Medical University, and Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, 030001, China.
Jimin CaoDepartment of Cardiology, the First Hospital of Shanxi Medical University, and Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, 030001, China.
Xi LiuMedical Innovation Research Division Chinese PLA General Hospital, Beijing, 100048, China.
Fangfang CaoKey Laboratory of Big Data-Based Precision Medicine of Ministry of Industry and Information Technology, School of Engineering Medicine, Beihang University, Beijing, 100191, China.ORCID https://orcid.org/0000-0002-0520-8287
Yanlin FengDepartment of Cardiology, the First Hospital of Shanxi Medical University, and Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, 030001, China.

Funding

Beijing Natural Science Foundation KZ66-0247-01Fundamental Research Funds for the Central Universities KG16-4184-01National Medical Research Council MOH-001517-00National Natural Science Foundation of China 22205260National Natural Science Foundation of China 82170523National Natural Science Foundation of China 82300934Natural Science Foundation of Shanxi Province 202303021221136Natural Science Foundation of Shanxi Province 202303021222154Shanxi Province Higher Education "Billion Project" Science and Technology Guidance Project BYJL059,BYJL054Young Elite Scientists Sponsorship Program by CAST 2023QNRC001
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) exhibits high copper and iron uptake, making cuproptosis and ferroptosis promising therapeutic strategies. However, their efficacy is limited by TNBC's intrinsic antioxidant defences. Herein, CuFeTe

Indexed as

CopperFerroptosisNanostructuresTriple Negative Breast NeoplasmsAnimalsCell Line, TumorFemaleHumansIronMiceTumor MicroenvironmentCopperIronCuFeTe2 NanosheetscuproptosisferroptosisNIR II mild‐photothermal effecttriple‐negative breast cancertumor microenvironment‐responsive

Identifiers

PMID41133938
PMCPMC12806277

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.