Evidence map›Paper›PMID 34367994›Full record

ArticleFrontiers in oncology2021

Single-Cell Transcriptomics Reveals the Complexity of the Tumor Microenvironment of Treatment-Naive Osteosarcoma.

Yun Liu, Wenyu Feng, Yan Dai, Mengying Bao, Zhenchao Yuan, Mingwei He, Zhaojie Qin, Shijie Liao, Juliang He, Qian Huang and 15 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 135 papers.

0numbers the graph read from it
0cells of the map it votes in
135citing papers in PubMed
17.5field-weighted citation impact, top 1% 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

135 citing papers in PubMed, 170 citations in OpenAlex.

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  15. Skeletal stem cell lineages in osteosarcoma and bone metastasis.Journal of bone and mineral metabolism · 2026
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75 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 5 institutions in 2 countries.

Yun LiuDepartment of Spinal Bone Disease, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Wenyu FengDepartment of Trauma Orthopedic and Hand Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yan DaiCenter for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.
Mengying BaoCenter for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.
Zhenchao YuanDepartment of Bone and Soft Tissue Surgery, The Affiliated Tumor Hospital, Guangxi Medical University, Nanning, China.
Mingwei HeDepartment of Trauma Orthopedic and Hand Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Zhaojie QinDepartment of Spinal Bone Disease, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Shijie LiaoDepartment of Trauma Orthopedic and Hand Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Juliang HeDepartment of Trauma Orthopedic and Hand Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Qian HuangDepartment of Trauma Orthopedic and Hand Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Zhenyuan YuCenter for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.
Yanyu ZengCenter for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.
Binqian GuoCenter for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.
Rong HuangCenter for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.
Rirong YangCenter for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.
Yonghua JiangCenter for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.
Jinling LiaoCenter for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.
Zengming XiaoDepartment of Spinal Bone Disease, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xinli ZhanDepartment of Spinal Bone Disease, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Chengsen LinDepartment of Trauma Orthopedic and Hand Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jiake XuSchool of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia.
Yu YeCenter for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.
Jie MaDepartment of Medical Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Qingjun WeiDepartment of Spinal Bone Disease, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Zengnan MoCenter for Genomic and Personalized Medicine, School of Preclinical Medicine, Guangxi Medical University, Nanning, China.
Guangxi University · CNGuangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CNTumor Hospital of Guangxi Medical University · CNUniversity of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS), which occurs most commonly in adolescents, is associated with a high degree of malignancy and poor prognosis. In order to develop an accurate treatment for OS, a deeper understanding of its complex tumor microenvironment (TME) is required. In the present study, tissues were isolated from six patients with OS, and then subjected to single-cell RNA sequencing (scRNA-seq) using a 10× Genomics platform. Multiplex immunofluorescence staining was subsequently used to validate the subsets identified by scRNA-seq. ScRNA-seq of six patients with OS was performed prior to neoadjuvant chemotherapy, and data were obtained on 29,278 cells. A total of nine major cell types were identified, and the single-cell transcriptional map of OS was subsequently revealed. Identified osteoblastic OS cells were divided into five subsets, and the subsets of those osteoblastic OS cells with significant prognostic correlation were determined using a deconvolution algorithm. Thereby, different transcription patterns in the cellular subtypes of osteoblastic OS cells were reported, and key transcription factors associated with survival prognosis were identified. Furthermore, the regulation of osteolysis by osteoblastic OS cells

Indexed as

heterogeneitynaive osteosarcomaosteolysissingle-cell RNA sequencingtumor microenvironment

Identifiers

PMID34367994
PMCPMC8335545
OpenAlexW3193248358

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.