Evidence map›Paper›PMID 38312189›Full record

ArticleIndian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion2024

Potential Clinical Role of LncRNA miR503HG in Multiple Myeloma and its Effect on the Proliferation and Adhesion of Myeloma Cells.

Pingling Yin, Xiang Zhou

Open access · greenAbstract read
In one paragraph

Article in Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 32% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Pingling YinDepartment of Hematology, Affiliated Hospital of Gansu Medical College, No. 296, Kongtong East Road, Kongtong District, Pingliang, Gansu, 744000 China.
Xiang ZhouDepartment of Hematology, Affiliated Hospital of Gansu Medical College, No. 296, Kongtong East Road, Kongtong District, Pingliang, Gansu, 744000 China.
Pingliang People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study mainly explored the role of lncRNA miR503HG in multiple myeloma and the potential downstream regulatory mechanism affecting disease. Real-time quantitative polymerase chain reaction was used to measure the expression levels of miR503HG and miR-103. A cell counting kit-8 assay was performed to detect cell viability. The concentrations of adhesion-related factors (MUC-1, VCAM-1, ICAM-1) were determined using enzyme-linked immunosorbent assay. The targeting relationship between miR503HG and miR-103 was detected by dual-luciferase reporter assay. The miR503HG expression in peripheral blood of multiple myeloma patients was lower than that of normal healthy individuals and associated with ISS stage and worse overall survival. miR-103 was identified as the downstream target of miR503HG. Upregulation of miR503HG could inhibit cell proliferation and adhesion of multiple myeloma cell lines, which could partially reverse the inhibition of adhesion and proliferation by high expression of miR-103. lncRNA miR503HG expression was downregulated in multiple myeloma and had potential diagnostic/prognostic value. MiR503HG exerts a molecular sponge effect on miR-103 and affects its expression, thus achieving the inhibitory effect on multiple myeloma.

Indexed as

DiagnosismiR-103Multiple myelomaPrognosisProgression

Identifiers

PMID38312189
PMCPMC10830954
OpenAlexW4366679882

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.