Evidence map›Paper›PMID 37684379›Full record

ArticleAnnals of hematology2023

CCDC50, an essential driver involved in tumorigenesis, is a potential severity marker of diffuse large B cell lymphoma.

Yuqi Gong, Hongyan Tong, Fang Yu, Qi Liu, Xianbo Huang, Guoping Ren, Zhongqin Fan, Zhe Wang, Jing Zhao, Zhengrong Mao and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Annals of hematology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

12 authors at 3 institutions in 1 country.

Yuqi GongDepartment of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID http://orcid.org/0000-0003-4216-7856
Hongyan TongDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Fang YuDepartment of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Qi LiuDepartment of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xianbo HuangDepartment of Hematology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Guoping RenDepartment of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhongqin FanDepartment of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhe WangDepartment of Pathology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Jing ZhaoDepartment of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhengrong Mao *Department of Pathology and Pathophysiology, Zhejiang University School of Medicine, Hangzhou, China. maozr@zju.edu.cn.
Jing Zhang *Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. jzhang1989@zju.edu.cn.
Ren Zhou *Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. zhouren@zju.edu.cn.
First Affiliated Hospital Zhejiang University · CNChildren's Hospital of Zhejiang University · CNXijing Hospital · CN

Funding

Medical Science and Technology Project of Zhejiang Province 2018KY364National Natural Science Foundation of China 81571226National Natural Science Foundation of China 81671187National Natural Science Foundation of China 82020108012Natural Science Foundation of Zhejiang Province No. LQ20H160025
6 · The paper itself

Abstract

Diffuse Large B Cell Lymphoma (DLBCL) is the most common form of blood cancer. Among the subtypes, the activated B-cell (ABC) subtype is typically more aggressive and associated with worse outcomes. However, the underlying mechanisms are not fully understood. In this study, we performed microarray analysis to identify potential ABC-DLBCL-associated genes. We employed Kaplan-Meier methods and cox univariate analysis to explore the prognostic value of the identified candidate gene Coiled-coil domain containing 50 (CCDC50). Additionally, we used DLBCL cell lines and mouse models to explore the functions and mechanisms of CCDC50. Finally, we isolated CCDC50-bearing exosomes from clinical patients to study the correlation between these exosomes and disease severity. Our results demonstrated that CCDC50 not only showed significantly positive correlations with ABC subtype, tumor stage and number of extranodal sites, but also suggested poor outcomes in DLBCL patients. We further found that CCDC50 promoted ABC-DLBCL proliferation in vitro and in vivo. Mechanistically, CCDC50 inhibited ubiquitination-mediated c-Myc degradation by stimulating the PI3K/AKT/GSK-3β pathway. Moreover, CCDC50 expression was positively correlated with c-Myc at protein levels in DLBCL patients. Additionally, in two clinical cohorts, the plasma CCDC50-positive exosomes differentiated DLBCL subtypes robustly (AUC > 0.80) and predicted disease severity effectively (p < 0.05). Our findings suggest that CCDC50 likely drives disease progression in ABC-DLBCL patients, and the CCDC50-bearing exosome holds great potential as a non-invasive biomarker for subtype diagnosis and prognosis prediction of DLBCL patients.

Indexed as

Biomarkers, TumorLymphoma, Large B-Cell, DiffuseAnimalsCarcinogenesisCell Line, TumorCell ProliferationExosomesFemaleGene Expression Regulation, NeoplasticHumansMaleMiceMiddle AgedPrognosisSeverity of Illness IndexBiomarkers, TumorBiomarkerCCDC50c-MycDLBCLExosome

Identifiers

PMID37684379
PMCPMC10567943
OpenAlexW4386564708

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.