Evidence map›Paper›PMID 35837104›Full record

ArticleFrontiers in oncology2022

Comprehensive Analysis of a Ferroptosis-Related lncRNA Signature for Predicting Prognosis and Immune Landscape in Osteosarcoma.

Yiming Zhang, Rong He, Xuan Lei, Lianghao Mao, Zhengyu Yin, Xinyu Zhong, Wenbing Cao, Qiping Zheng, Dapeng Li

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Article in Frontiers in oncology, 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
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Yiming ZhangDepartment of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Rong HeCancer Institute, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, China.
Xuan LeiDepartment of Burn and Plastic Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Lianghao MaoDepartment of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Zhengyu YinDepartment of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Xinyu ZhongDepartment of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Wenbing CaoDepartment of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Qiping ZhengDepartment of Hematological Laboratory Science, Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, China.
Dapeng LiDepartment of Orthopedics, Affiliated Hospital of Jiangsu University, Zhenjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on the implications of ferroptosis in tumors has increased rapidly in the last decades. There are evidences that ferroptosis is involved in several aspects of cancer biology, including tumor progression, metastasis, immunomodulation, and therapeutic response. Nonetheless, the interaction between ferroptosis-related lncRNAs (FRLs) and the osteosarcoma immune microenvironment is poorly understood. In this study, a risk model composed of FRLs was developed using univariate and LASSO Cox regression analyses. On the basis of this model, FRL scores were calculated to systematically explore the role of the model in predicting the prognosis and immune characteristics of osteosarcoma patients. Survival analysis showed that osteosarcoma samples with lower FRL-score had better overall survival. After predicting the abundance of immune cells in osteosarcoma microenvironment by single-sample gene-set enrichment analysis (ssGSEA) and ESTIMATE analysis, we found that the FRL-score could distinguish immune function, immune score, stromal score, tumor purity, and tumor infiltration of immune cells in different osteosarcoma patients. In addition, FRL-score was also associated with immune checkpoint gene expression and half-maximal inhibitory concentration of chemotherapeutic agents. Finally, we confirmed that knockdown of RPARP-AS1 suppressed the malignant activity of osteosarcoma cells

Indexed as

ferroptosisimmune microenvironmentlncRNAosteosarcomaprognosis

Identifiers

PMID35837104
PMCPMC9273977

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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.