Evidence map›Paper›PMID 36177774›Full record

ArticleIUBMB life2023

N6-methyladenosine regulators are potential prognostic biomarkers for multiple myeloma.

Jing Wang, Yifan Zuo, Chenglan Lv, Min Zhou, Yuan Wan

Open access · greenAbstract read
In one paragraph

Article in IUBMB life, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 9 citations in OpenAlex.

  1. Emerging roles of RNA mInternational journal of oncology · 2026
    Review
  2. Article
  3. Development of a prognostic model based on m6A readerTranslational cancer research · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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 2 institutions in 2 countries.

Jing WangDepartment of Oncology and Hematology, Yizheng Hospital of Nanjing Drum Tower Hospital Group, Yizheng, People's Republic of China.ORCID 0000-0001-9981-5530
Yifan ZuoDepartment of Hematology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, People's Republic of China.
Chenglan LvDepartment of Hematology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, People's Republic of China.
Min ZhouDepartment of Hematology, the Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, People's Republic of China.
Yuan WanThe Pq Laboratory of BiomeDx/Rx, Department of Biomedical Engineering, Binghamton University SUNY, Binghamton, New York, USA.
Nanjing Drum Tower Hospital · CNBinghamton University · US

Funding

Liquid biopsy of solitary pulmonary nodule with extracellular vesiclesR37CA255948 · NCI · STATE UNIVERSITY OF NY,BINGHAMTON · PI Yuan Wan · 2021 to 2026
$3.0M
Lipid nanoprobe integrated microdevice for extracellular vesicle isolation and duplex sequencing based mutation detection for non-invasive lung cancer diagnosisR01CA230339 · NCI · PENNSYLVANIA STATE UNIVERSITY, THE · PI ZHENG, SIYANG · 2018 to 2023
$1.9M
NCI NIH HHS 1R01CA230339NCI NIH HHS 1R37CA255948NCI NIH HHS R01 CA230339NCI NIH HHS R37 CA255948
6 · The paper itself

Abstract

N6-methyladenosine (m6A) regulators play an important role in tumorigenesis; however, their role in multiple myeloma (MM) remains unknown. This study aimed to create an m6A RNA regulators prognostic signature for MM patients. We integrated data from the Multiple Myeloma Research Foundation CoMMpass Study and the Genotype-Tissue Expression database to analyze gene expression profiles of 21 m6A regulators. Consistent clustering analysis was used to identify the clusters of patients with MM having different clinical outcomes. Gene distribution was analyzed using principal component analysis. Next, we generated an mRNA gene signature of m6A regulators using a multivariate logistic regression model with least absolute shrinkage and selection operator. The expressions of m6A regulators, except FMR1, were significantly different in MM samples compared with those in normal samples. The KIAA1429, HNRNPC, FTO, and WTAP expression levels were dramatically downregulated in tumor samples, whereas those of other signatures were remarkably upregulated. Three clusters of patients with MM were identified, and significant differences were found in terms of overall survival (p = .024). A prognostic two-gene signature (KIAA1429 and HNRNPA2B1) was constructed, which had a good prognostic significance using the ROC method (AUC = 0.792). Moreover, the risk score correlated with the infiltration immune cells. In addition, KEGG pathway analysis showed that 16 pathways were dramatically enriched. The m6A signature might be a novel biomarker for predicting the prognosis of patients with MM (p = .002). Our study is the first to explore the potential application value of m6A in MM. These findings may enhance the understanding of the functional organization of m6A in MM and provide new insights into the treatment of MM patients.

Indexed as

Multiple MyelomaAdenosineAlpha-Ketoglutarate-Dependent Dioxygenase FTOBiomarkers, TumorCarcinogenesisFragile X Messenger Ribonucleoprotein 1HumansPrognosisAdenosineAlpha-Ketoglutarate-Dependent Dioxygenase FTOBiomarkers, TumorFMR1 protein, humanFragile X Messenger Ribonucleoprotein 1FTO protein, humanmRNA signaturemultiple myelomaN6-methyladenosineprognostic signaturesurvival

Identifiers

PMID36177774
PMCPMC10115423
OpenAlexW4298088798

What OpenQuestion holds

Textmetadata
LicenceTDM
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.