Evidence map›Paper›PMID 35958555›Full record

ArticleFrontiers in immunology2022

Hypoxia-Immune-Related Gene SLC19A1 Serves as a Potential Biomarker for Prognosis in Multiple Myeloma.

Wenjin Li, Peng Yuan, Weiqin Liu, Lichan Xiao, Chun Xu, Qiuyu Mo, Shujuan Xu, Yuchan He, Duanfeng Jiang, Xiaotao Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. 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
1.1field-weighted citation impact, top 24% 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, 14 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

10 authors at 3 institutions in 1 country.

Wenjin LiDepartment of Hematology, Pingxiang People's Hospital, Pingxiang, China.
Peng YuanDepartment of Hematology, Pingxiang People's Hospital, Pingxiang, China.
Weiqin LiuDepartment of Hematology, Pingxiang People's Hospital, Pingxiang, China.
Lichan XiaoDepartment of Hematology, Pingxiang People's Hospital, Pingxiang, China.
Chun XuDepartment of Hematology, Pingxiang People's Hospital, Pingxiang, China.
Qiuyu MoDepartment of Hematology, Affiliated Hospital of Guilin Medical University, Guilin, China.
Shujuan XuDepartment of Hematology, Affiliated Hospital of Guilin Medical University, Guilin, China.
Yuchan HeDepartment of Hematology, The Second Affiliated Hospital of Guilin Medical University, Guilin, China.
Duanfeng JiangDepartment of Hematology, Second Affiliated Hospital of Hainan Medical College, Haikou, China.
Xiaotao WangDepartment of Hematology, Affiliated Hospital of Guilin Medical University, Guilin, China.
Jiangxi Pingxiang People's Hospital · CNGuilin Medical University · CNHainan Medical College Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Multiple myeloma (MM) remains an incurable malignant tumor of plasma cells. Increasing evidence has reported that hypoxia and immune status contribute to the progression of MM. In this research, the prognostic value of the hypoxia-immune-related gene SLC19A1 in MM was evaluated by bioinformatics analysis. Method: RNA-sequencing (RNA-seq) data along with clinical information on MM were downloaded from the Gene Expression Omnibus (GEO) database. Consistent clustering analysis and ESTIMATE algorithms were performed to establish the MM sample subgroups related to hypoxia and immune status, respectively, based on the GSE24080 dataset. The differentially expressed analysis was performed to identify the hypoxia-immune-related genes. Subsequently, a hypoxia-immune-gene risk signature for MM patients was constructed by univariate and multivariate Cox regression analyses, which was also verified in the GSE4581 dataset. Furthermore, the mRNA expression of SLC19A1 was determined using qRT-PCR in 19 MM patients, and the correlations between the genetic expression of SLC19A1 and clinical features were further analyzed. Result: A total of 47 genes were identified as hypoxia-immune-related genes for MM. Among these genes, SLC19A1 was screened to construct a risk score model that had better predictive power for MM. The constructed prognostic signature based on SLC19A1 was verified in the GSE4581 dataset. All independent prognostic factors (age, β Conclusion: In conclusion, our results suggest that SLC19A1 is aberrantly expressed in MM and highly expressed SLC19A1 might be a biomarker correlated with inferior prognosis. More importantly, we identified SLC19A1 as a hypoxia-immune-related gene in MM. Future functional and mechanistic studies will further clarify the roles of SLC19A1 in MM.

Indexed as

Multiple MyelomaBiomarkers, TumorHumansHypoxiaMultivariate AnalysisPrognosisReduced Folate Carrier ProteinBiomarkers, TumorReduced Folate Carrier ProteinSLC19A1 protein, humanhypoxiaimmunemultiple myelomaprognosisSLC19A1

Identifiers

PMID35958555
PMCPMC9358019
OpenAlexW4287147118

What Socratic 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 Socratic graph.