Evidence map›Paper›PMID 36059448›Full record

ArticleFrontiers in immunology2022

Molecular subtypes of osteosarcoma classified by cancer stem cell related genes define immunological cell infiltration and patient survival.

Lei Guo, Taiqiang Yan, Wei Guo, Jianfang Niu, Wei Wang, Tingting Ren, Yi Huang, Jiuhui Xu, Boyang Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 8 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

9 authors at 3 institutions in 1 country.

Lei GuoMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Taiqiang YanMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Wei GuoMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Jianfang NiuMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Wei WangMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Tingting RenMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Yi HuangMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Jiuhui XuMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Boyang WangMusculoskeletal Tumor Center, Peking University People's Hospital, Beijing, China.
Beijing Chest Hospital · CNPeking University People's Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have shown that tumor stemness has biological significance in tumorigenicity and tumor progression. However, the characteristics of TME immune infiltration in osteosarcoma mediated by the combined effects of multiple cancer stem cell-related genes remain unknown. Methods: In this study, we identified different cancer stem cell-associated subtypes in osteosarcoma based on 25 cancer stem cell-associated genes by consensus clustering analysis, and we comprehensively evaluated the association between these subtypes and immunocytes infiltration in the TME. The cancer stem cell (CSC) score was constructed to quantify the stemness of individual tumors. Results: We performed a comprehensive evaluation of 218 osteosarcoma patients based on 25 cancer stem cell-related genes. Three different cancer stem cells related subtypes were identified, which were related to different biological processes and clinical outcomes. The three subtypes have different TME cells infiltrating characteristics, and CSC Cluster A had a higher level of immunocyte infiltration compared to CSC Cluster B and C. We constructed a scoring system, called the CSC score, to assess the stemness of individual patients. Then we found that the prognosis of patients was predicted by CSC score, and patients with low CSC score had prolonged survival. Further analyses showed that low CSC score was correlated with enhanced immune infiltration. CSC score may predict the effect of immunotherapy, and patients with low CSC score may have better immune response and clinical prognosis. Conclusions: This study demonstrates that there could be three cancer stem cell-associated subtypes in osteosarcoma and that they were associated with different patient prognosis and TME immune infiltration characteristics. CSC score could be used to assess the stemness of individual patients, improve our comprehension of TME characteristics, and direct more effective immune therapy.

Indexed as

Biological PhenomenaBone NeoplasmsOsteosarcomaHumansNeoplastic Stem CellsPrognosiscancer stem cellscancer stemnessdrugmolecular subtypeosteosarcomatumor microenvironment

Identifiers

PMID36059448
PMCPMC9437352
OpenAlexW4292373162

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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.