Evidence map›Paper›PMID 32782578›Full record

ReviewOncology letters2020

Research progress regarding the role of long non-coding RNAs in osteosarcoma.

Yanli Zhang, Yanchuan Pu, Jin Wang, Zicai Li, Hulin Wang

Open access · diamondAbstract readReview
In one paragraph

Review in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Navigating the genomic instability mine field of osteosarcoma to better understand implications of non-coding RNAs.Biocell : official journal of the Sociedades Latinoamericanas de Microscopia Electronica ... et. al · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Long Non-coding RNAs in Cisplatin Resistance in Osteosarcoma.Current treatment options in oncology · 2021
    Review
  13. Article
  14. Article
  15. The lncRNAOncoTargets and therapy · 2020
    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

5 authors at 1 institution in 1 country.

Yanli ZhangDepartment of Orthopedics, Wuwei People's Hospital, Wuwei, Gansu 733000, P.R. China.
Yanchuan PuDepartment of Orthopedics, Wuwei People's Hospital, Wuwei, Gansu 733000, P.R. China.
Jin WangDepartment of Orthopedics, Wuwei People's Hospital, Wuwei, Gansu 733000, P.R. China.
Zicai LiDepartment of Orthopedics, Wuwei People's Hospital, Wuwei, Gansu 733000, P.R. China.
Hulin WangDepartment of Orthopedics, Wuwei People's Hospital, Wuwei, Gansu 733000, P.R. China.
Huawei Technologies (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma is a malignant tumor that occurs in children and adolescents. Although treatments for osteosarcoma have improved, the likelihood of survival remains low for most patients with metastasis and recurrence. Elucidating the mechanism underlying the development of osteosarcoma and chemotherapy resistance will be important to improve diagnosis and treatment. Long non-coding RNAs (lncRNAs), which are longer than 200 nucleotides in length and do not encode for proteins, have been shown to play a regulatory role in the occurrence and development of osteosarcoma, and are expected to serve as biomarkers and molecular targets. This review discusses the progress in the study of the role of lncRNAs in osteosarcoma, and highlights the recent developments in this field.

Indexed as

biomarkerschemotherapy resistancelong non-coding RNAmicroRNAosteosarcoma

Identifiers

PMID32782578
PMCPMC7400499
OpenAlexW3038296062

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.