Evidence map›Paper›PMID 41646335›Full record

ArticleResearch square2026

Multimodal single-cell network analysis uncovers BSG/CD147 as an early biomarker and signaling hub in hepatocellular carcinoma.

Thomas Dw Wang, Eun-Young K Choi, Shuo Feng, Hui Jiang, Thomas Ds Wang, Sangeeta Jaiswal

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In one paragraph

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

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Thomas Dw WangUniversity of Michigan-Ann Arbor.
Eun-Young K ChoiUniversity of Michigan-Ann Arbor.
Shuo FengUniversity of Michigan-Ann Arbor.
Hui JiangUniversity of Michigan-Ann Arbor.
Thomas Ds WangUniversity of Michigan-Ann Arbor.
Sangeeta JaiswalUniversity of Michigan-Ann Arbor.

Funding

Peptide multimer for early detection of hepatocellular carcinomaR01CA285303 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Thomas D Wang · 2024 to 2026
$2.1M
NCI NIH HHS R01 CA285303
6 · The paper itself

Abstract

Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide, largely due to late-stage diagnosis and the limited sensitivity of current biomarkers such as α-fetoprotein (AFP). Early detection requires molecularly defined targets that capture the initial steps of malignant transformation. Single-cell RNA sequencing (scRNA-seq) offers high-resolution insight into tumor heterogeneity and lineage progression to enable the identification of early biomarkers. This study aimed apply scRNA-seq analysis to detect clinically important molecular patterns that define the early stages of malignant transformation in HCC and facilitate the diagnosis of small or ambiguous lesions. Methods: Two independent scRNA-seq datasets (GSE149614 and GSE189903) comprising non-tumor and HCC tissues were analyzed. Following batch correction and clustering, hepatocyte subpopulations were characterized by differential expression, pseudotime, and CytoTRACE analyses to reconstruct the trajectory from normal to malignant states. High-dimensional weighted gene co-expression network analysis (hdWGCNA) was used to identify stage-associated modules, while CellChat and protein-protein interaction analyses delineated intercellular signaling networks. Target expression was validated in paired human liver specimens using quantitative immunofluorescence. Results: scRNA-seq revealed a continuum of hepatocyte states characterized by progressive stemness and oncogenic pathway activation (MYC, E2F, G2M). Module Hep-M20 exhibited the strongest correlation with tumor stage and identified BSG/CD147 as a central hub gene with monotonic upregulation along pseudotime and strong correlation with stemness potential. CellChat analysis uncovered a cyclophilin (PPIA/PPIB)-dependent tumor-stroma signaling axis that positions BSG/CD147 as the key mediator for intercellular communication between tumor hepatocytes, fibroblasts and T cells. Ex vivo validation confirmed significantly higher BSG/CD147 protein expression in HCC versus background liver (P = 2.9×10 Conclusions: This study establishes BSG/CD147 upregulation as an early molecular event in hepatocarcinogenesis that integrates hepatocyte dedifferentiation, microenvironmental signaling, and tumor progression. Strong and specific expression in small lesions < 2 cm underscores potential as a precision biomarker and imaging target for early HCC detection, risk stratification, and therapeutic development.

Identifiers

PMID41646335
PMCPMC12869601

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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.