Evidence map›Paper›PMID 41693684›Full record

ArticleJournal of enzyme inhibition and medicinal chemistry2026

Diethyl Phthalate (DEP) as a potential osteosarcoma risk factor: a multi-omics study integrating network Toxicology, single-cell RNA sequencing, and molecular docking.

Shangqi Yin, Wuzheng Liu, Chunxiao Gao, Chunyan Li, Jun Wu

Abstract read
In one paragraph

Article in Journal of enzyme inhibition and medicinal chemistry, 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. 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

5 authors.

Shangqi YinDepartment of Clinical Laboratory, Beijing Jishuitan Hospital, Capital Medical University, Beijing, PR China.
Wuzheng LiuDepartment of Clinical Laboratory, Beijing Jishuitan Hospital, Capital Medical University, Beijing, PR China.
Chunxiao GaoDepartment of Clinical Laboratory, Beijing Jishuitan Hospital, Capital Medical University, Beijing, PR China.
Chunyan LiDepartment of Clinical Laboratory, Beijing Jishuitan Hospital, Capital Medical University, Beijing, PR China.
Jun WuDepartment of Clinical Laboratory, Beijing Jishuitan Hospital, Capital Medical University, Beijing, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diethyl phthalate (DEP), a common plasticiser and endocrine disruptor, has been linked to cancer, but its role in osteosarcoma (OS) remains unclear. This study integrated network toxicology, transcriptomics, protein-protein interaction (PPI) analysis, machine learning, molecular docking, molecular dynamics (MD), single-cell RNA sequencing (scRNA-seq), and external validation to investigate DEP-related mechanisms in OS. We identified 45 DEP-responsive genes enriched in extracellular matrix-related pathways. PPI network analysis revealed 11 hub genes, of which LASSO, SVM-RFE, and Boruta algorithms consistently prioritised P4HA2, COL18A1, and COL10A1. Docking and MD simulations supported stable binding of DEP to P4HA2 and COL18A1 via hydrogen bonds and hydrophobic interactions. scRNA-seq demonstrated celltype-specific expression of these genes. Validation cohorts confirmed their upregulation in OS, with AUC values up to 0.950. These findings suggest that DEP may promote OS progression by targeting extracellular matrix remodelling, offering new diagnostic biomarkers and hypothesis-generating evidence for environmental osteocarcinogenesis.

Indexed as

Molecular Docking SimulationOsteosarcomaPhthalic AcidsHumansMolecular Dynamics SimulationMultiomicsSequence Analysis, RNAdiethyl phthalatePhthalic AcidsDiethyl phthalatemolecular dockingnetwork toxicologyosteosarcomaP4HA2

Identifiers

PMID41693684
PMCPMC12912210

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Registered trials

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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.