Evidence map›Paper›PMID 31948430›Full record

ArticleBMC cancer2020

Comprehensive profiling of circular RNA expressions reveals potential diagnostic and prognostic biomarkers in multiple myeloma.

Fan Zhou, Dongjiao Wang, Wei Wei, Haimin Chen, Haotian Shi, Nian Zhou, Lixia Wu, Rong Peng

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Article
  8. Article
  9. Recent Progress of CircRNAs in Hematological Malignancies.International journal of medical sciences · 2024
    Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Circular RNAs: typical biomarkers for bone-related diseases.Journal of Zhejiang University. Science. B · 2022
    Article
  18. Article
  19. Article
  20. Review
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

8 authors at 1 institution in 1 country.

Fan ZhouDepartment of Hematology and Oncology, Shanghai Jing'an District Zhabei Central Hospital, Shanghai, China. zfsh257@163.com.
Dongjiao WangDepartment of Hematology and Oncology, Shanghai Jing'an District Zhabei Central Hospital, Shanghai, China.
Wei WeiDepartment of Hematology and Oncology, Shanghai Jing'an District Zhabei Central Hospital, Shanghai, China.
Haimin ChenDepartment of Hematology and Oncology, Shanghai Jing'an District Zhabei Central Hospital, Shanghai, China.
Haotian ShiDepartment of Hematology and Oncology, Shanghai Jing'an District Zhabei Central Hospital, Shanghai, China.
Nian ZhouDepartment of Hematology and Oncology, Shanghai Jing'an District Zhabei Central Hospital, Shanghai, China.
Lixia WuDepartment of Hematology and Oncology, Shanghai Jing'an District Zhabei Central Hospital, Shanghai, China.
Rong PengDepartment of Hematology and Oncology, Shanghai Jing'an District Zhabei Central Hospital, Shanghai, China.
Shanghai Zhabei District Shibei Hospital · CN

Funding

Scientific research project of Shanghai Municipal Commission of Health and Family Planning 201840159Shanghai Jing an district health research project 2018QN03
6 · The paper itself

Abstract

backgroundThis study aimed to explore the heterogeneity of circRNA expression pattern via microarray, and further evaluate the potential of 10 specific circRNAs as diagnostic and prognostic biomarkers in multiple myeloma (MM).

methodsIn exploration stage (stage I), circRNA expression profiles were detected by the microarray in bone marrow plasma cells from 4 MM patients and 4 healthy controls (HCs), and bioinformatic analyses were performed. In validation stage (stage II), top 10 upregulated and top 10 downregulated circRNAs identified in stage I were detected in 60 MM patients and 30 HCs for further validation; the diagnostic and prognostic values of these circRNAs in MM patients were analyzed.

resultsIn stage I, 122 upregulated and 260 downregulated circRNAs were identified in MM patients compared with HCs. GO, KEGG and pathway enrichment analyses revealed that these circRNAs were implicated in neoplastic pathways such as MAPK and VEGF signaling pathways. In stage II, circ-PTK2, circ-RNF217, circ-RERE, circ-NAGPA and circ-KCNQ5 were validated to be upregulated and circ-AFF2, circ-WWC3, circ-DNAJC5, circ-KLHL2, circ-IQGAP1 and circ-AL137655 were validated to be downregulated in MM compared with controls. Circ-PTK2 and circ-RNF217 were correlated with poor treatment response and survival, while circ-AFF2 predicted good treatment response and survival in MM patients.

conclusionsThis study provides valuable reference for profound understanding about circRNA expression patterns in MM, and validates that circ-PTK2, circ-RNF217 and circ-AFF2 might serve as potential prognostic biomarkers in MM.

Indexed as

Biomarkers, TumorGene Expression ProfilingRNA, CircularTranscriptomeAgedComputational BiologyFemaleGene OntologyGene Regulatory NetworksHumansLiquid BiopsyMaleMiddle AgedMolecular Sequence AnnotationMultiple MyelomaNeoplasm StagingBiomarkers, TumorRNA, CircularBioinformatic analysisCircular RNADiagnostic and prognostic valueExpression profilesMultiple myeloma

Identifiers

PMID31948430
PMCPMC6966810
OpenAlexW3006341638

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LicenceCC BY
Read underepoch 390

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.