Evidence map›Paper›PMID 38652223›Full record

ArticleCellular oncology (Dordrecht, Netherlands)2024

Exploring the impact of PDGFD in osteosarcoma metastasis through single-cell sequencing analysis.

Yujing Huang, Dongyan Cao, Manxue Zhang, Yue Yang, Gengming Niu, Lina Tang, Zan Shen, Zhichang Zhang, Yueqing Bai, Daliu Min and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Cellular oncology (Dordrecht, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Yujing Huang *Department of Oncology, Shanghai Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Dongyan Cao *State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Manxue ZhangState Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yue YangInstitute of Toxicology, School of Public Health, Lanzhou University, Lanzhou, Gansu Province, China.
Gengming NiuShanghai OneTar Biomedicine, Shanghai, China.
Lina TangDepartment of Oncology, Shanghai Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zan ShenDepartment of Oncology, Shanghai Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zhichang ZhangDepartment of Orthopaedic, Shanghai Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yueqing BaiDepartment of Pathology, Shanghai Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Daliu MinDepartment of Oncology, Shanghai Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Aina HeDepartment of Oncology, Shanghai Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China. ainahe@sjtu.edu.cn.
Shanghai Sixth People's Hospital · CNShanghai Cancer Institute · CNLanzhou University · CN

Funding

China Postdoctoral Science Foundation 2022M722115National Natural Science Foundation of China 82173358Natural Science Foundation Project of Shanghai Science and Technology Innovation Action Plan 21ZR1449000Science and Technology Commission of Shanghai Municipality No.19ZR1439100St. Baldrick's Foundation 585350
6 · The paper itself

Abstract

purposeThe overall survival rate for metastatic osteosarcoma hovers around 20%. Responses to second-line chemotherapy, targeted therapies, and immunotherapies have demonstrated limited efficacy in metastatic osteosarcoma. Our objective is to validate differentially expressed genes and signaling pathways between non-metastatic and metastatic osteosarcoma, employing single-cell RNA sequencing (scRNA-seq) and additional functional investigations. We aim to enhance comprehension of metastatic mechanisms and potentially unveil a therapeutic target.

methodsscRNA-seq was performed on two primary osteosarcoma lesions (1 non-metastatic and 1 metastatic). Seurat package facilitated dimensionality reduction and cluster identification. Copy number variation (CNV) was predicted using InferCNV. CellChat characterized ligand-receptor-based intercellular communication networks. Differentially expressed genes underwent GO function enrichment analysis and GSEA. Validation was achieved through the GSE152048 dataset, which identified PDGFD-PDGFRB as a common ligand-receptor pair with significant contribution. Immunohistochemistry assessed PDGFD and PDGFRB expression, while multicolor immunofluorescence and flow cytometry provided insight into spatial relationships and the tumor immune microenvironment. Kaplan-Meier survival analysis compared metastasis-free survival and overall survival between high and low levels of PDGFD and PDGFRB. Manipulation of PDGFD expression in primary osteosarcoma cells examined invasion abilities and related markers.

resultsTen clusters encompassing osteoblasts, osteoclasts, osteocytes, fibroblasts, pericytes, endothelial cells, myeloid cells, T cells, B cells, and proliferating cells were identified. Osteoblasts, osteoclasts, and osteocytes exhibited heightened CNV levels. Ligand-receptor-based communication networks exposed significant fibroblast crosstalk with other cell types, and the PDGF signaling pathway was activated in non-metastatic osteosarcoma primary lesion. These results were corroborated by the GSE152048 dataset, confirming the prominence of PDGFD-PDGFRB as a common ligand-receptor pair. Immunohistochemistry demonstrated considerably greater PDGFD expression in non-metastatic osteosarcoma tissues and organoids, correlating with extended metastasis-free and overall survival. PDGFRB expression showed no significant variation between non-metastatic and metastatic osteosarcoma, nor strong correlations with survival times. Multicolor immunofluorescence suggested co-localization of PDGFD with PDGFRB. Flow cytometry unveiled a highly immunosuppressive microenvironment in metastatic osteosarcoma. Manipulating PDGFD expression demonstrated altered invasive abilities and marker expressions in primary osteosarcoma cells from both non-metastatic and metastatic lesions.

conclusionsscRNA-seq illuminated the activation of the PDGF signaling pathway in primary lesion of non-metastatic osteosarcoma. PDGFD displayed an inhibitory effect on osteosarcoma metastasis, likely through the suppression of the EMT signaling pathway.

Indexed as

Bone NeoplasmsGene Expression Regulation, NeoplasticOsteosarcomaSingle-Cell AnalysisCell Line, TumorDNA Copy Number VariationsHumansLymphokinesMaleNeoplasm MetastasisPlatelet-Derived Growth FactorReceptor, Platelet-Derived Growth Factor betaSignal TransductionTumor MicroenvironmentLymphokinesPDGFD protein, humanPlatelet-Derived Growth FactorReceptor, Platelet-Derived Growth Factor betaMetastasisOrganoidOsteosarcomaPDGFDscRNA-seq

Identifiers

PMID38652223
PMCPMC11467127
OpenAlexW4395034050

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.