Evidence map›Paper›PMID 42223885›Full record

ArticleInterdisciplinary sciences, computational life sciences2026

Unveiling the Impact of Copper Metabolism on Epithelial-Mesenchymal Transition of Triple-Negative Breast Cancer: Identification of Therapeutic Targets.

Kai Zhuang, Lin Yan, Muhammad Waqas, Haixin Feng, Siqi Tang, Haoqi He, Xinshi Yu, Yanling Wang, Zunnan Huang

Abstract read
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In one paragraph

Article in Interdisciplinary sciences, computational life sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Kai Zhuang *Dongguan Key Laboratory of Computer-Aided Drug Design, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, China.
Lin Yan *Dongguan Key Laboratory of Computer-Aided Drug Design, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, China.
Muhammad WaqasDongguan Key Laboratory of Computer-Aided Drug Design, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, China.
Haixin FengDongguan Key Laboratory of Computer-Aided Drug Design, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, China.
Siqi TangGuangdong Medical University Key Laboratory of Big Data Mining and Precision Drug Design, Guangdong Provincial Key Laboratory for Research and Development of Natural Drugs, School of Pharmacy, Guangdong Medical University, Dongguan, 523808, China.
Haoqi HeSchool of Public Health, Guangdong Medical University, Dongguan, 523808, China.
Xinshi YuDongguan Key Laboratory of Computer-Aided Drug Design, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, China.
Yanling WangDepartment of Anesthesiology, the Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510630, China. wangyl5@mail.sysu.edu.cn.
Zunnan HuangDongguan Key Laboratory of Computer-Aided Drug Design, the First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523710, China. zn_huang@gdmu.edu.cn.ORCID http://orcid.org/0000-0002-5821-703X

Funding

Higher Education Reform Project of Guangdong Province 2019268Innovation Team Project of Guangdong Province Regular Higher Education Institutions No. 2025KCXTD018Talent Development Foundation of The First Dongguan Affiliated Hospital of Guangdong Medical University No. PF100-2-02
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is a biologically aggressive subtype of breast cancer marked by high heterogeneity and poor prognosis. Copper metabolism has been implicated in TNBC progression, but its functional contributions remain insufficiently defined. In this study, we analyzed transcriptomic data from 229 TNBC and adjacent normal samples from The Cancer Genome Atlas (TCGA) to identify 26 differentially expressed copper metabolism-related genes (DEGs

Indexed as

CopperEpithelial-Mesenchymal TransitionTriple Negative Breast NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansMachine LearningPrognosisCopperCopper metabolismFibroblastMachine learningMetastasisPrognosisTranscriptomicsTriple-negative breast cancer

Identifiers

PMID42223885

What Socratic 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 Socratic graph.