Evidence map›Paper›PMID 26885255›Full record

ReviewAmerican journal of translational research2015

New insights into MicroRNAs involves in drug resistance in diffuse large B cell lymphoma.

Xin Yu, Zheng Li

Open access · greenAbstract readReview
In one paragraph

Review in American journal of translational research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  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. Alkylating anticancer agents and their relations to microRNAs.Cancer drug resistance (Alhambra, Calif.) · 2019
    Review
  5. Article
  6. Article
  7. Current Progress in EBV-Associated B-Cell Lymphomas.Advances in experimental medicine and biology · 2017
    Review
  8. 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

2 authors at 1 institution in 1 country.

Xin YuDepartment of Dermatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 100042, China.
Zheng LiDepartment of Orthopedics Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 100042, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse large B cell lymphoma (DLBCL) accounts for nearly 40% of non-Hodgkin's lymphoma cases. The combined chemotherapy of rituximab, cyclophosphamide, Adriamycin, vincristine, and prednisone (R-CHOP) is considered as the standard therapy for DLBCL; however, nearly half of the patients become refractory to the R-CHOP regimen. Early identification of drug resistance and therapeutic failures are crucial for the identification of high-risk patients. MicroRNAs (miRNAs) are a group of small and non-coding RNAs negatively regulating gene expression through binding to their target mRNAs. Recent studies demonstrated that miRNAs are involved in chemotherapeutic drug resistance in tumor. In our review, we summarize the current evidence on the role of miRNAs in the prediction and modulation of cellular response to rituximab, cyclophosphamide, Adriamycin, vincristine, and prednisone in DLBCL.

Indexed as

cyclophosphamideDiffuse large B cell lymphomamicroRNArituximab

Identifiers

PMID26885255
PMCPMC4731655
OpenAlexW2418653813

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.