Evidence map›Paper›PMID 32655719›Full record

ArticleDisease markers2020

Abnormal PTBP1 Expression Sustains the Disease Progression of Multiple Myeloma.

Hua Bai, Bing Chen

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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.

Hua BaiDepartment of Hematology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China.ORCID https://orcid.org/0000-0003-0849-524X
Bing ChenDepartment of Hematology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China.ORCID https://orcid.org/0000-0002-3597-7861
Nanjing Drum Tower Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is a hematopoietic malignancy characterized by heterogeneity, which corresponds to alternative splicing (AS) profiles and disadjust gene expression. Bioinformatics analysis of AS factors possibly related to MM progression identified the polypyrimidine tract binding protein (PTBP1) as candidate. The purpose of this study was to confirm the incidence and prognostic value of PTBP1 in MM patients. Several cohorts of 2971 patients presenting newly diagnosed and relapsed MM were enrolled. Correlations between PTBP1 expression and clinicopathological characteristics, proliferative activity, and response to therapy of myeloma cells were analyzed. Moreover, the effect of PTBP1 on the AS pattern of specific aerobic glycolysis-related genes was explored in MM patients. Clinically, PTBP1 expression was present at all stages; it increased with disease progression and poor prognosis, which was even stronger elevated in patients with high tumor burden and drug resistance. Mechanistically, PTBP1 modulated AS of PKM2 and aerobic glycolysis-related genes in MM patients, which play synergistic or additive effects in clinical outcome. PTBP1 may be a novel marker for prognostic prediction and a promising therapeutic target for the development of anti-MM treatments.

Indexed as

Up-RegulationAlternative SplicingCarrier ProteinsCell Line, TumorCell MovementCell ProliferationDisease ProgressionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGlycolysisHeterogeneous-Nuclear RibonucleoproteinsHumansMaleMembrane ProteinsMultiple MyelomaCarrier ProteinsHeterogeneous-Nuclear RibonucleoproteinsMembrane ProteinsPolypyrimidine Tract-Binding ProteinPTBP1 protein, humanThyroid Hormone-Binding ProteinsThyroid Hormones

Identifiers

PMID32655719
PMCPMC7321530
OpenAlexW3036232671

What OpenQuestion holds

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Registered trials

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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.