Evidence map›Paper›PMID 38957810›Full record

ArticleFrontiers in genetics2024

Comprehensive transcriptomic analysis identifies SLC25A4 as a key predictor of prognosis in osteosarcoma.

Ying Zhang, Yinghui Wang, Wenyan Zhang, Shaojie Feng, Yuanxin Xing, Tianjiao Wang, Nana Huang, Ka Li, Aijun Zhang

Abstract read
In one paragraph

Article in Frontiers in 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
–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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Ying Zhang *Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, China.
Yinghui Wang *Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, China.
Wenyan ZhangSchool of Food Science and Engineering, Qingdao Agricultural University, Qingdao, China.
Shaojie FengResearch Center of Translational Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, China.
Yuanxin XingResearch Center of Basic Medicine, Central Hospital Affiliated to Shandong First Medical University, Jinan, China.
Tianjiao WangDepartment of Pediatrics, Qilu Hospital of Shandong University, Jinan, China.
Nana HuangDepartment of Neurology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China.
Ka LiDepartment of Orthopedics, Qilu Hospital of Shandong University, Jinan, China.
Aijun ZhangDepartment of Pediatrics, Qilu Hospital of Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteosarcoma (OS) is highly malignant and prone to local infiltration and distant metastasis. Due to the poor outcomes of OS patients, the study aimed to identify differentially expressed genes (DEGs) in OS and explore their role in the carcinogenesis and progression of OS. Methods: RNA sequencing was performed to identify DEGs in OS. The functions of the DEGs in OS were investigated using bioinformatics analysis, and DEG expression was verified using RT-qPCR and Western blotting. The role of Results: In all, 8353 DEGs were screened. GO and KEGG enrichment analyses indicated these DEGs showed strong enrichment in the calcium signaling pathway and pathways in cancer. Moreover, the Kaplan-Meier survival analysis showed ten hub genes were related to the outcomes of OS patients. Both Conclusion:

Indexed as

bioinformatics analysisosteosarcomaprognosisSLC25A4survival analysis

Identifiers

PMID38957810
PMCPMC11217516

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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.