Evidence map›Paper›PMID 30802235›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2019

Circular RNA hsa_circ_0000885 Levels are Increased in Tissue and Serum Samples from Patients with Osteosarcoma.

Kai Zhu, Liang Niu, Jun Wang, Yan Wang, Jianrui Zhou, Fang Wang, Yanqin Cheng, Qian Zhang, Haiyan Li

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

Article in Medical science monitor : international medical journal of experimental and clinical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Circular RNAs: typical biomarkers for bone-related diseases.Journal of Zhejiang University. Science. B · 2022
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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 3 institutions in 1 country.

Kai ZhuDepartment of Orthopedics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland).
Liang NiuDepartment of Anesthesiology, The Qingdao Women and Children's Hospital, Qingdao, Shandong, China (mainland).
Jun WangSupply Department, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland).
Yan WangDepartment of Orthopedics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland).
Jianrui ZhouDepartment of Orthopedics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland).
Fang WangDepartment of Orthopedics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland).
Yanqin ChengDepartment of Orthopedics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland).
Qian ZhangDepartment of Orthopedics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland).
Haiyan LiDepartment of Orthopedics, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China (mainland).
Affiliated Hospital of Qingdao University · CNQingdao University · CNQingdao Women and Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Circular RNAs (circRNAs) are novel non-coding RNAs that have important roles in tumor progression. This study aimed to measure the levels of hsa_circ_0000885 in serum samples and tumor tissue from patients with osteosarcoma compared with controls and to evaluate the findings with disease-free survival and overall survival. MATERIAL AND METHODS Fifty pairs of osteosarcoma tissues and matched adjacent normal tissue were obtained from patients who underwent the same chemotherapy regimen before surgery. Blood samples were obtained from 30 patients with osteosarcoma before and after chemotherapy, 25 patients with osteosarcoma before and after surgery, 27 patients with benign bone tumors, and 25 age-matched and sex-matched healthy controls. Circular RNA sequencing and quantitative real-time polymerase chain reaction (qRT-PCR) were used to analyze hsa_circ_0000885 expression. RESULTS Hsa_circ_0000885 expression was significantly increased in tissue and serum samples from patients with osteosarcoma, compared with controls, with significantly increased expression levels in patients with Enneking stage IIB and III osteosarcoma, compared with early-stage osteosarcoma. Patients with high serum and tumor levels of hsa_circ_0000885 had lower rates of disease-free survival and overall survival. The serum expression levels of hsa_circ_0000885 were significantly higher in patients with osteosarcoma compared with patients with benign bone tumors or healthy controls. CONCLUSIONS Hsa_circ_0000885 was upregulated in osteosarcoma, and it could serve as a good prognostic biomarker indicating poor clinical outcomes of osteosarcoma. Hsa_circ_0000885 was upregulated in serum of osteosarcoma patients and could serve as a good diagnostic biomarker for osteosarcoma.

Indexed as

AdultBiomarkers, TumorBone NeoplasmsFemaleHumansMaleMicroRNAsMiddle AgedOsteosarcomaReal-Time Polymerase Chain ReactionRNARNA, CircularRNA, UntranslatedSequence Analysis, RNABiomarkers, TumorMicroRNAsRNARNA, CircularRNA, Untranslated

Identifiers

PMID30802235
PMCPMC6400018
OpenAlexW2916175494

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.