Evidence map›Paper›PMID 42564761›Full record

ArticleInternational journal of genomics2026

Multiomics Integration Reveals Coexpression Regulatory Networks in Osteoporosis and Osteosarcoma.

Dongming Fu, Ran Li, Bo Wang

Abstract read
In one paragraph

Article in International journal of genomics, 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

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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

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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

3 authors.

Dongming FuDepartment of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0009-0001-4975-3455
Ran LiDepartment of Orthopedics, Nanjing Drum Tower Hospital Group Suqian Hospital, Suqian, China.ORCID https://orcid.org/0000-0003-0022-5827
Bo WangDepartment of Orthopedics, Nanjing Drum Tower Hospital Group Suqian Hospital, Suqian, China.ORCID https://orcid.org/0009-0002-8266-7193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteoporosis and osteosarcoma impose a substantial and rising global health burden, yet their transcriptomic landscapes have not been systematically compared. We performed a multiomics characterization integrating bulk transcriptomics, coexpression network analysis, immune deconvolution, single-cell RNA sequencing, and diagnostic classifier construction. Methods: Bulk transcriptomic profiling was performed using GSE56815 (circulating blood monocytes, Results: Differential expression analysis identified 4347 probe sets at nominal Conclusions: This integrative multiomics study provides a comprehensive transcriptomic comparison of osteoporosis and osteosarcoma, identifies BMD-associated coexpression modules with experimentally validated hub genes, and establishes a reusable analytical framework for biomarker discovery in metabolic and malignant bone disease. However, the weak module-trait correlations, subthreshold classifier performance in some cross-validation folds, and the use of circulating blood monocytes to study bone-specific gene expression warrant cautious interpretation of the findings.

Indexed as

coexpression networkdiagnostic classifierdifferential expressionhub gene validationosteoporosisosteosarcomasingle-cell RNA sequencing

Identifiers

PMID42564761
PMCPMC13445564

What OpenQuestion holds

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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.