Evidence map›Paper›PMID 36569869›Full record

ArticleFrontiers in immunology2022

Molecular characterization of immunogenic cell death indicates prognosis and tumor microenvironment infiltration in osteosarcoma.

Zhongyue Liu, Binfeng Liu, Chengyao Feng, Chenbei Li, Hua Wang, Haixia Zhang, Ping Liu, Zhihong Li, Shasha He, Chao Tu

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 15% 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, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. PKMYT1 kinase ameliorates cisplatin sensitivity in osteosarcoma.Signal transduction and targeted therapy · 2025
    Article
  8. Article
  9. Journal of hepatocellular carcinoma · 2025
    Article
  10. Article
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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

10 authors at 2 institutions in 1 country.

Zhongyue LiuDepartment of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Binfeng LiuDepartment of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Chengyao FengDepartment of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Chenbei LiDepartment of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Hua WangDepartment of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Haixia ZhangDepartment of Oncology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Ping LiuDepartment of Oncology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Zhihong LiDepartment of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Shasha HeDepartment of Oncology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Chao TuDepartment of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Central South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Osteosarcoma (OS) is a highly aggressive bone malignancy with a poor prognosis, mainly in children and adolescents. Immunogenic cell death (ICD) is classified as a type of programmed cell death associated with the tumor immune microenvironment, prognosis, and immunotherapy. However, the feature of the ICD molecular subtype and the related tumor microenvironment (TME) and immune cell infiltration has not been carefully investigated in OS. Methods: The ICD-related genes were extracted from previous studies, and the RNA expression profiles and corresponding data of OS were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus database. The ICD-related molecular subtypes were classed by the "ConsensusclusterPlus" package and the construction of ICD-related signatures through univariate regression analysis. ROC curves, independent analysis, and internal validation were used to evaluate signature performance. Moreover, a series of bioinformatic analyses were used for Immunotherapy efficacy, tumor immune microenvironments, and chemotherapeutic drug sensitivity between the high- and low-risk groups. Results: Herein, we identified two ICD-related subtypes and found significant heterogeneity in clinical prognosis, TME, and immune response signaling among distinct ICD subtypes. Subsequently, a novel ICD-related prognostic signature was developed to determine its predictive performance in OS. Also, a highly accurate nomogram was then constructed to improve the clinical applicability of the novel ICD-related signature. Furthermore, we observed significant correlations between ICD risk score and TME, immunotherapy response, and chemotherapeutic drug sensitivity. Notably, the in vitro experiments further verified that high GALNT14 expression is closely associated with poor prognosis and malignant progress of OS. Discussion: Hence, we identified and validated that the novel ICD-related signature could serve as a promising biomarker for the OS's prognosis, chemotherapy, and immunotherapy response prediction, providing guidance for personalized and accurate immunotherapy strategies for OS.

Indexed as

Bone NeoplasmsOsteosarcomaAdolescentChildHumansImmunogenic Cell DeathPrognosisTumor Microenvironmentimmunogenic cell deathmolecular characteristicsosteosarcomaprognosistumor microenvironment infiltration

Identifiers

PMID36569869
PMCPMC9780438
OpenAlexW4311947030

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.