Evidence map›Paper›PMID 42006152›Full record

ArticleHuman mutation2026

Multiomics Biomarkers for Differential Diagnosis of Pleural Effusion: Integration of Proteomic Markers and Single-Cell Transcriptomics.

Zhengyou Zhang, Shaowei Zhan, Ying Tang, Zhougui Ling, Jinyan Wu, Dong Rui, Xiaomou Wei, Moyu Ming

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human mutation, 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

8 authors.

Zhengyou ZhangDepartment of Pulmonary and Critical Care Medicine, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China, gxmu.edu.cn.
Shaowei ZhanDepartment of Pulmonary and Critical Care Medicine, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China, gxmu.edu.cn.
Ying TangDepartment of Pulmonary and Critical Care Medicine, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China, gxmu.edu.cn.
Zhougui LingDepartment of Pulmonary and Critical Care Medicine, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China, gxmu.edu.cn.ORCID https://orcid.org/0000-0001-5174-5262
Jinyan WuDepartment of Pulmonary and Critical Care Medicine, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China, gxmu.edu.cn.
Dong RuiDepartment of Pulmonary and Critical Care Medicine, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China, gxmu.edu.cn.
Xiaomou WeiClinical Science Research Center, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China, gxmu.edu.cn.ORCID https://orcid.org/0009-0002-2776-9832
Moyu MingDepartment of Pulmonary and Critical Care Medicine, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China, gxmu.edu.cn.ORCID https://orcid.org/0000-0003-0284-0233

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Differential diagnosis of pleural effusion remains challenging despite medical thoracoscopy (MT). We investigated whether integrating proteomic biomarkers with single-cell transcriptomics and genomic mutation profiling could improve diagnostic accuracy and reveal mechanistic insights. Methods: We prospectively enrolled 564 patients with pleural effusion undergoing medical thoracoscopy. Pleural fluid biomarkers (adenosine deaminase, carcinoembryonic antigen, cytokeratin-19 fragment, neuron-specific enolase) were measured. Single-cell RNA sequencing profiled immune landscapes across disease etiologies. Driver mutation profiling was performed on malignant pleural effusion samples using targeted next-generation sequencing encompassing 15 cancer-related genes. Diagnostic performance was evaluated against histopathological diagnosis. Results: Final diagnoses included inflammatory PE ( Conclusions: Multiomics integration combining proteomic biomarkers with single-cell immune profiling and genomic mutation characterization achieves high diagnostic accuracy for pleural effusion while revealing disease-specific immune mechanisms and mutation-driven therapeutic opportunities.

Indexed as

BiomarkersPleural EffusionProteomicsTranscriptomeAgedBiomarkers, TumorDiagnosis, DifferentialFemaleGene Expression ProfilingHumansMaleMiddle AgedMultiomicsMutationPleural Effusion, MalignantSingle-Cell AnalysisBiomarkersBiomarkers, Tumoradenosine deaminasebiomarkersdriver mutationsEGFRimmune profilingpleural effusionsingle-cell RNA sequencingtargeted therapytumor markers

Identifiers

PMID42006152
PMCPMC13084142

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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.