Evidence map›Paper›PMID 26893730›Full record

ArticleOncology letters2016

MicroRNAs in diffuse large B-cell lymphoma.

Huiyun Ni, Rong Tong, Linqing Zou, Guoqi Song, William C Cho

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Using the Precision Lasso for gene selection in diffuse large B cell lymphoma cancer.Journal of the Egyptian National Cancer Institute · 2023
    Article
  3. Article
  4. Article
  5. Review
  6. Targeting microRNA in hematologic malignancies.Current opinion in oncology · 2020
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. 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 3 institutions in 1 country.

Huiyun NiDepartment of Hematology, Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Rong TongDepartment of Hematology, Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, P.R. China.
Linqing ZouDepartment of Anatomy, Nantong University College of Medicine, Nantong, Jiangsu 226001, P.R. China.
Guoqi SongDepartment of Hematology, Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, P.R. China.
William C ChoDepartment of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong 999077, P.R. China.
Affiliated Hospital of Nantong University · CNNantong University · CNQueen Elizabeth Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aberrant expression of microRNAs (miRs) has a significant impact on the biological characteristics of lymphocytes, and is important in the pathogenesis of diffuse large B-cell lymphoma (DLBCL). It has been demonstrated, using miR profiling and detecting distinct miR signatures, that certain miRs may accurately distinguish different subtypes and prognostic classifications of DLBCL, as well as distinguish DLBCL from other more indolent lymphomas, including follicular lymphoma. miRs are excellent biomarkers for cancer diagnosis and prognosis. In DLBCL, specific miR expression profiles in the tissues of patients are associated with prognosis and clinical outcome. Over the past decade, there has been substantial investigation concerning the pathogenetic, diagnostic and prognostic roles of miRs in DLBCL. The aim of the present review is to describe the aberrant expression of miRs in DLBCL, and the functions, potential clinical use and possible therapeutic targets of miRs in this disease.

Indexed as

diagnosisdiffuse large B-cell lymphomamicroRNAsprognosisregulator genetherapeutic targets

Identifiers

PMID26893730
PMCPMC4734178
OpenAlexW2221230400

What OpenQuestion holds

Textmetadata
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.