Evidence map›Paper›PMID 31775867›Full record

ArticleBiology direct2019

Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use.

Qingyuan Qu, Ying Li, Xiaosheng Fang, Lingyan Zhang, Chao Xue, Xueling Ge, Xin Wang, Yujie Jiang

Abstract read
In one paragraph

Article in Biology direct, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. CD5Discover oncology · 2025
    Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
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  9. Article
  10. Review
  11. Article
  12. Article
  13. Cancer predictive studies.Biology direct · 2020
    Review
  14. Action mechanisms and research methods of tRNA-derived small RNAs.Signal transduction and targeted therapy · 2020
    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.

Qingyuan QuDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong University, No.324, Jingwu Road, Jinan, Shandong, 250021, People's Republic of China.
Ying LiDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong University, No.324, Jingwu Road, Jinan, Shandong, 250021, People's Republic of China.
Xiaosheng FangDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong University, No.324, Jingwu Road, Jinan, Shandong, 250021, People's Republic of China.
Lingyan ZhangDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong University, No.324, Jingwu Road, Jinan, Shandong, 250021, People's Republic of China.
Chao XueDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong University, No.324, Jingwu Road, Jinan, Shandong, 250021, People's Republic of China.
Xueling GeDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong University, No.324, Jingwu Road, Jinan, Shandong, 250021, People's Republic of China.
Xin WangDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong University, No.324, Jingwu Road, Jinan, Shandong, 250021, People's Republic of China.
Yujie JiangDepartment of Hematology, Shandong Provincial Hospital Affiliated to Shandong University, No.324, Jingwu Road, Jinan, Shandong, 250021, People's Republic of China. yujiejiang05@126.com.ORCID 0000-0003-2199-238X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients diagnosed as diffuse large B cell lymphoma (DLBCL) with CD5 positive normally have a worse outcome and poorly respond to the regulatory treatment strategy.

resultsWe recently reported differently expressed tRFs and their potential target-genes of tRFs in patients with CD5+ R/R DLBCL. Differently expressed tRFs were detected by Illumina NextSeq instrument and the results were verified by quantitative real-time reverse transcription-PCR. tRF2Cancer database was searched to compared with the results. Further research was performed through bio-informatic analysis including gene ontology (GO) and pathway enrichment analyses, etc. A total of 308 tRFs were identified. Two sequences (AS-tDR-008946, AS-tDR-013492) were chosen for further investigated.

conclusionsThe results of Bioinformatics analysis revealed that the target genes including NEDD4L and UBA52 and several associated pathways including PI3K/AKT and MAPK/ERK might be involved in the development of CD5+ R/R DLBCL. Our preliminary study on the associated tRFs might provide a valuable measure to explore the pathogenesis and progression of CD5+ R/R DLBCL. REVIEWERS: This article was reviewed by Zhen Qing Ye, Nagarajan Raju and Jin Zhuang Dou.

Indexed as

AdultAgedCD5 AntigensComputational BiologyFemaleHumansLymphoma, B-CellMiddle AgedRNA, TransferCD5 AntigensRNA, TransferBioinformaticsDLBCLHub genetRFs

Identifiers

PMID31775867
PMCPMC6882323

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.