Evidence map›Paper›PMID 37460861›Full record

ArticleBiochemical genetics2024

A Novel Defined Necroptosis-Related Genes Prognostic Signature for Predicting Prognosis and Treatment of Osteosarcoma.

Shibing Zhao, Tao Wang, Fei Huang, Qingzhong Zhao, Deliang Gong, Jun Liu, Chengfeng Yi, Shuai Liang, Erbao Bian, Dasheng Tian and 1 more

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Article in Biochemical genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Shibing Zhao *Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Tao Wang *Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Fei Huang *Department of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Qingzhong ZhaoDepartment of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Deliang GongDepartment of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Jun LiuDepartment of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Chengfeng YiDepartment of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Shuai LiangDepartment of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Erbao BianDepartment of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China. bianerbao@ahmu.edu.cn.
Dasheng TianDepartment of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China. tiandasheng@ahmu.edu.cn.
Juehua JingDepartment of Orthopaedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China. jjhhu@sina.com.

Funding

Foundation of Anhui Medical University 2021xkj030Nature Science Foundation of Anhui Province 2208085MH255Research fund of Anhui Institute of Translation Medicine 2021zhyx-C49
6 · The paper itself

Abstract

Osteosarcoma (OS) is a frequent primary malignant bone tumor, with a poor prognosis. Necroptosis is strongly correlated with OS and may be an influential target for treating OS. This study's objective was to establish a necroptosis-related gene (NRG) prognostic signature that could predict OS prognosis and guide OS treatment. First, we identified 20 NRGs associated with OS survival based on the TARGET database. We then derived a 7 NRG prognostic signature. Our findings revealed that the 7 NRG prognostic signature performed well in predicting the survival of OS patients. We next analyzed differences in immunological status and immune cell infiltration. In addition, we examined the relationship between chemo/immunotherapeutic response and the 7-NRG prognostic signature. In addition, to probe the mechanisms underlying the NRG prognostic signature, we performed functional enrichment assays including GO and KEGG. Finally, CHMP4C was selected for functional experiments. Silencing CHMP4C prevented OS cells from proliferating, migrating, and invading. This 7-NRG prognostic signature seems to be an excellent predictor that can provide a fresh direction for OS treatment.

Indexed as

Bone NeoplasmsOsteosarcomaHumansNecroptosisPrognosisImmuneNecroptosis-related genesOsteosarcomaPrognostic signature

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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.