Evidence map›Paper›PMID 38549127›Full record

ArticleCancer cell international2024

Low TYROBP expression predicts poor prognosis in multiple myeloma.

Hong Luo, Chengyun Pan, Li Wang, Lin Zheng, Shuyun Cao, Xiuying Hu, Tianzhen Hu, Naiqin Zhao, Qin Shang, Jishi Wang

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 8 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.

Hong LuoDepartment of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Chengyun PanDepartment of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Li WangDepartment of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Lin ZhengDepartment of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Shuyun CaoDepartment of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Xiuying HuDepartment of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Tianzhen HuDepartment of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Naiqin ZhaoDepartment of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Qin ShangDepartment of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
Jishi WangDepartment of Hematology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China. wangjishi9646@163.com.
Guiyang Medical University · CNAffiliated Hospital of Guizhou Medical University · CNFirst Affiliated Hospital of Soochow University · CN

Funding

Society for Epidemiologic Research Doctoral Dissertation WorkshopR13TR002021 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI HARLOW, BERNARD L · 2017 to 2018
$46k
the National Natural Science Foundation of China;the Translational Research Grant of NCRCH;Beijing Bethune Foundation Committee;Project of Science and Technology Foundation of Guizhou Provincial Health Commission ;National Natural Science Foundation General Fund Cultivation Project of Affiliated Hospital of Guizhou Medical University No. 2021WWB01the National Natural Science Foundation of China;the Translational Research Grant of NCRCH;Beijing Bethune Foundation Committee;Project of Science and Technology Foundation of Guizhou Provincial Health Commission ;National Natural Science Foundation General Fund Cultivation Project of Affiliated Hospital of Guizhou Medical University No. 81960032the National Natural Science Foundation of China;the Translational Research Grant of NCRCH;Beijing Bethune Foundation Committee;Project of Science and Technology Foundation of Guizhou Provincial Health Commission ;National Natural Science Foundation General Fund Cultivation Project of Affiliated Hospital of Guizhou Medical University No. B19153DTthe National Natural Science Foundation of China;the Translational Research Grant of NCRCH;Beijing Bethune Foundation Committee;Project of Science and Technology Foundation of Guizhou Provincial Health Commission ;National Natural Science Foundation General Fund Cultivation Project of Affiliated Hospital of Guizhou Medical University No.Gyfynsfc-2021-3the National Natural Science Foundation of China;the Translational Research Grant of NCRCH;Beijing Bethune Foundation Committee;Project of Science and Technology Foundation of Guizhou Provincial Health Commission ;National Natural Science Foundation General Fund Cultivation Project of Affiliated Hospital of Guizhou Medical University No. Gzwjkj20192-011the National Natural Science Foundation of China;the Translational Research Grant of NCRCH;Beijing Bethune Foundation Committee;Project of Science and Technology Foundation of Guizhou Provincial Health Commission ;National Natural Science Foundation General Fund Cultivation Project of Affiliated Hospital of Guizhou Medical University NSFC, No. 82170168
6 · The paper itself

Abstract

backgroundMultiple myeloma (MM) is the second most common refractory hematologic cancer. Searching for new targets and prognostic markers for MM is significant.

methodsGSE39754, GSE6477 and GSE24080 were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) in MM versus healthy people from GSE39754 and GSE6477 were screened using limma package, and MM-related module genes were chosen with the use of Weighted gene co-expression network analysis (WGCNA), and the two were intersected using ggVennDiagram for obtaining MM-related DEGs. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were carried out. Then, protein-protein interactions (PPI) analysis in String database was used to obtain hub genes, while prognosis was analyzed by survival package in GSE24080. Receiver operating characteristic (ROC) curve was adopted for evaluating diagnostic value of hub genes. Besides, univariable/multivariable Cox regression were employed to screen independent prognostic biomarkers. Gene set enrichment analysis (GSEA) was used to find possible mechanism. Finally, western-blotting and reverse transcription-polymerase chain reaction (RT-PCR) verify TYROBP expression within MM and healthy people. We performed cell adhesion and transwell assays for investigating TYROBP function in MM cell adhesion and migration.

resultsThrough differential analyses, 92 MM-related DEGs were obtained. 10 hub genes were identified by PPI and CytoHubba. Their diagnostic and prognostic significance was analyzed. Down-regulation of genes like TYROBP, ELANE, MNDA, and MPO related to dismal MM prognosis. Upon univariable/multivariable Cox regression, TYROBP independently predicted MM prognosis. GSEA pathway was enriched, indicating that TYROBP expression affected MM development via cell adhesion molecular pathway. Upon Western-blotting and RT-PCR assays, TYROBP expression among MM patients decreased relative to healthy donors. Cell adhesion and transwell migration assays revealed increased MM cell adhesion and decreased migration upon TYROBP up-regulation.

conclusionIn summary, TYROBP is a potential prognostic marker for MM.

Indexed as

AdhesionBiomarkerMigrationMultiple myelomaPrognosisTYROBP

Identifiers

PMID38549127
PMCPMC10979612
OpenAlexW4393255473

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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.