Evidence map›Paper›PMID 37231440›Full record

ArticleBMC medical genomics2023

Identification of two novel lipid metabolism-related long non-coding RNAs (SNHG17 and LINC00837) as potential signatures for osteosarcoma prognosis and precise treatment.

Zhifang Tang, Hanzhen Feng, Longjun Shu, Minzheng Guo, Baochuang Qi, Luqiao Pu, Hongxin Shi, Junxiao Ren, Chuan Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. VDAC2: an emerging pivotal and multifaceted regulator in tumor biology.Apoptosis : an international journal on programmed cell death · 2026
    Review
  2. Article
  3. LncSNHGs: new targets in osteosarcoma.Cancer gene therapy · 2025
    Review
  4. 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 at 5 institutions in 1 country.

Zhifang Tang *Clinical Medical College of Dali University, Dali, Yunnan, 671000, China.
Hanzhen Feng *Clinical Medical College of Dali University, Dali, Yunnan, 671000, China.
Longjun ShuDepartment of Orthopedics, The First People's Hospital of Dali City, Yunnan, 671000, Dali, China.
Minzheng GuoDepartment of Orthopedics, Kunming Medical University, Kunming, Yunnan, China.
Baochuang QiDepartment of Orthopedics, Kunming Medical University, Kunming, Yunnan, China.
Luqiao PuDepartment of Orthopedics, The 920th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Kunming, Yunnan, China.
Hongxin ShiClinical Medical College of Dali University, Dali, Yunnan, 671000, China.
Junxiao RenDepartment of Orthopedics, Yunnan University of Chinese Medicine, Kunming, Yunnan, China.
Chuan LiDepartment of Orthopedics, The 920th Hospital of Joint Logistics Support Force of Chinese People's Liberation Army, Kunming, Yunnan, China. lichuankakakm@163.com.
Dali University · CNKunming Medical University · CNChinese People's Liberation Army · CNPeople's Liberation Army 401 Hospital · CNYunnan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDysregulated lipid metabolism enhances the development and advancement of many cancers, including osteosarcoma (OS); however, the underlying mechanisms are still largely unknown. Therefore, this investigation aimed to elucidate novel potential lipid metabolism-related long non-coding RNAs (lncRNAs) that regulate OS development and provide novel signatures for its prognosis and precise treatment. MATERIALS AND

methodsThe GEO datasets (GSE12865 and GSE16091) were downloaded and analyzed using R software packages. Immunohistochemistry (IHC) was used to evaluate protein levels in OS tissues while real-time qPCR was used to measure lncRNA levels, and MTT assays were used to assess OS cell viability.

resultsTwo lipid metabolism-associated lncRNAs (LM-lncRNAs), small nucleolar RNA host gene 17 (SNHG17) and LINC00837, were identified as efficient and independent prognostic indicators for OS. In addition, further experiments confirmed that SNHG17 and LINC00837 were significantly elevated in OS tissues and cells than para-cancerous counterparts. Knockdown of SNHG17 and LINC00837 synergistically suppressed the viability of OS cells, whereas overexpression of the two lncRNAs promoted OS cell proliferation. Moreover, bioinformatics analysis was conducted to construct six novel SNHG17-microRNA-mRNA competing endogenous RNA (ceRNA) networks, and three lipid metabolism-associated genes (MIF, VDAC2, and CSNK2A2) were found to be abnormally upregulated in OS tissues, suggesting that they were potential effector genes of SNHG17.

conclusionIn summary, SNHG17 and LINC00837 were found to promote OS cell malignancy, suggesting their use as ideal biomarkers for OS prognosis and treatment.

Indexed as

Bone NeoplasmsMicroRNAsOsteosarcomaRNA, Long NoncodingGene Expression Regulation, NeoplasticHumansLipid MetabolismPrognosisMicroRNAsRNA, Long NoncodingBioinformatics analysisCompeting endogenous RNA networksLipid metabolismLong non-coding RNAOsteosarcoma

Identifiers

PMID37231440
PMCPMC10210430
OpenAlexW4378226980

What OpenQuestion holds

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LicenceCC BY
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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.