Evidence map›Paper›PMID 41222800›Full record

ArticleDiscover oncology2025

Proteome-wide mendelian randomization identifies FCRL3 and LY9 as potential therapeutic targets for lymphoma.

Qianqian Guo, Juanjuan Shang, Bingyu Liu, Mei Ding, Yang Han, Yingshu Luo, Xin Wang, Shunfeng Hu

Abstract read
In one paragraph

Article in Discover oncology, 2025. 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
–field-weighted citation impact
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.

  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

8 authors.

Qianqian GuoDepartment of Hematology, Shandong Provincial Hospital, Shandong First Medical University, No.324, Jingwu Road, Jinan, 250021, Shandong, China.
Juanjuan ShangDepartment of Hematology, Shandong Provincial Hospital, Shandong University, No.324, Jingwu Road, Jinan, 250021, Shandong, China.
Bingyu LiuDepartment of Hematology, Shandong Provincial Hospital, Shandong University, No.324, Jingwu Road, Jinan, 250021, Shandong, China.
Mei DingDepartment of Hematology, Shandong Provincial Hospital, Shandong First Medical University, No.324, Jingwu Road, Jinan, 250021, Shandong, China.
Yang HanDepartment of Hematology, Shandong Provincial Hospital, Shandong First Medical University, No.324, Jingwu Road, Jinan, 250021, Shandong, China.
Yingshu LuoDepartment of Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, No.440, Jiyan Road, Jinan, 250021, Shandong, China. lys15866683390@163.com.
Xin WangDepartment of Hematology, Shandong Provincial Hospital, Shandong First Medical University, No.324, Jingwu Road, Jinan, 250021, Shandong, China. xinw007@126.com.
Shunfeng HuDepartment of Hematology, Shandong Provincial Hospital, Shandong First Medical University, No.324, Jingwu Road, Jinan, 250021, Shandong, China. HuShunFeng0409@163.com.

Funding

Academic Promotion Programme of Shandong First Medical University No. 2019QL018China Postdoctoral Science Foundation No. 2023M741506Key Research and Development Program of Shandong Province No.2018CXGC1213National Natural Science Foundation No.82270200, No.82070203, No.81770210National Natural Science Foundation No.82400231Shandong Provincial Natural Science Foundation No. ZR2025MS1193, ZR2023QH193Translational Research Grant of NCRCH No.2021WWB02, No.2020ZKMB01
6 · The paper itself

Abstract

backgroundLymphoma is a common hematologic malignancy with limited treatment options. The research objective was to ascertain plasma proteins that could be targeted for lymphoma treatment.

methodsWe conducted proteome-wide mendelian randomization (PW-MR) analyses on blood proteins from the deCODE (N = 355,559) and Fenland (N = 10,708) studies. Protein-protein interaction (PPI), sensitivity analysis and external validation were used to identify potential drug targets. We analyzed enrichment analysis, single cell sequencing, drug prediction, molecular docking, mouse genome informatics (MGI), qRT-PCR and CCK-8 assays.

resultsPW-MR analyses predicted 37 proteins associated with lymphoma. Therein, 8 proteins, including APOBEC3G, TNFAIP6, LY75, MAPK3, SERPING1, CSF2RB, FCRL3, and LY9, interacted with known lymphoma drug targets. Through enrichment analysis, these 8 proteins were found to be linked to organism's response to stimuli and the proliferation of leukocytes. PheWAS identified LY75, SERPING1 and CSF2RB as associated with hematologic abnormalities and immune disorders. Single cell analysis revealed the expression enrichment of FCRL3 and LY9 in B cells. The affinity between 5 potential drug targets and predicted lymphoma drugs was identified by molecular docking, and the association of LY75, MAPK3, CSF2RB, LY9 with abnormalities in the hematopoietic system was confirmed in MGI. Finally, qRT-PCR showed that FCRL3 and LY9 mRNA levels were significantly down-regulated in diffuse large B-cell lymphoma (DLBCL) cells. In CCK-8 assay, predicted drugs amiodarone and chrysin inhibited DLBCL cell proliferation in dose-dependent and time-dependent manner.

conclusionsOur study identified 37 potential lymphoma drug targets, emphasizing FCRL3 and LY9 as valuable therapeutic candidates, and amiodarone and chrysin in clinical translational application.

Indexed as

LymphomaMendelian randomizationProteomeTherapeutic targets

Identifiers

PMID41222800
PMCPMC12612436

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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.