Evidence map›Paper›PMID 42787358›Full record

ArticleFrontiers in cell and developmental biology2026

Tumor-associated osteoclasts converge on a matrix-sulfation program across human bone tumors.

Mengyuan Lei, Shuya Chang, Ningjing Lei, Zhenhua Zhang, Chenghan Luo

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 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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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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.

Mengyuan LeiDepartment of Health Management Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Shuya ChangThe First Clinical Medical College of Zhengzhou University, Zhengzhou, China.
Ningjing LeiDepartment of Microbiology and Immunology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China.
Zhenhua ZhangDepartment of Computational Biology and Medical Science, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Chenghan LuoDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Osteoclasts mediate the bone destruction that drives much of the morbidity of giant-cell tumor of bone, osteosarcoma, and skeletal metastasis, yet these large multinucleated cells are lost in droplet single-cell data and have never been defined as a disease cell state. Methods: We reanalyzed 378,936 cells from osteoclast-rich human bone tumors and reference datasets, using within-tumor comparisons and independent validation analyses to characterize shared osteoclast transcriptional programs across the three tumor classes. Results: Tumor osteoclasts from all three tumor classes converged on a shared 74-gene transcriptional program. The program showed high scores in osteoclasts and low scores in neighboring myeloid cells, reproduced across four cancers of origin and in an independent cohort of 38,361 osteoclasts, and centered on a glycosaminoglycan-sulfation and mineralization module comprising PAPSS2, UST, EXT1, and FAM20C. The enrichment held across donors, the program increased as human monocytes differentiated into osteoclasts, and it tracked mature-osteoclast abundance in an independent spatial cohort of human osteosarcoma. Osteoclasts expressing the program were associated with a collagen and CD44 signaling neighborhood, retained the canonical regulators PU.1, MITF, and NFATc1, and occupied the terminus of osteoclastogenesis. Discussion: Across biologically distinct bone cancers, tumor osteoclasts share a reproducible, maturation-associated state centered on matrix-sulfation biology.

Indexed as

bone metastasisglycosaminoglycan sulfationhuman bone tumorsosteoclastogenesisosteoclastssingle-cell RNA sequencing

Identifiers

PMID42787358
PMCPMC13601788

What Socratic holds

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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 Socratic graph.