Evidence map›Paper›PMID 38258554›Full record

ArticleTurkish journal of haematology : official journal of Turkish Society of Haematology2024

Oncolytic

Alpay Yeşilaltay, Dilek Muz, Berna Erdal

Open access · diamondAbstract read
In one paragraph

Article in Turkish journal of haematology : official journal of Turkish Society of Haematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Emerging interplays between poxviruses and autophagy.Frontiers in cellular and infection microbiology · 2025
    Review
  2. 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

3 authors at 2 institutions in 1 country.

Alpay YeşilaltayBaşkent University İstanbul Hospital, Department of Hematology, İstanbul, TürkiyeORCID 0000-0003-3784-5739
Dilek MuzTekirdağ Namık Kemal University Faculty of Veterinary Medicine, Department of Virology, Tekirdağ, TürkiyeORCID 0000-0001-9358-8103
Berna ErdalTekirdağ Namık Kemal University Faculty of Medicine, Department of Microbiology, Tekirdağ, TürkiyeORCID 0000-0003-3375-7926
Namık Kemal University · TRBaşkent University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Multiple myeloma, which affects plasma cells, is the second most common hematological malignancy. Despite the development of new drugs and treatment protocols, patient survival has not reached the desired level. In this study, we investigated the effects of Materials and Methods: We analyzed protein expressions of ATG-5, p62, Beclin-1, LC3B, and the apoptosis marker Bcl-2 as autophagy markers in human U-266 and mouse MOPC-315 myeloma cell lines subjected to different doses of MYXV. In addition, autophagic images of myeloma cells were investigated using transmission electron microscopy (TEM). Results: In the first 24 h, which is the early stage of autophagy, ATG-5 and Beclin-1 expression levels were increased in the U-266 and MOPC-315 cell lines in the groups that had received MYXV at a multiplicity of infection of 15. At 48 h, a significant increase was detected in the expression of LC3B, which is a late indicator. Autophagosomes were observed in myeloma cells by TEM. Conclusion: MYXV shows an antimyeloma effect by increasing autophagy in myeloma cells.

Indexed as

Multiple MyelomaMyxoma virusOncolytic VirusesAnimalsAutophagyBeclin-1Cell Line, TumorHumansMiceBeclin-1AutophagosomeAutophagyMultiple myelomaMyxoma virus

Identifiers

PMID38258554
PMCPMC10918390
OpenAlexW4391141924

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.