Evidence map›Paper›PMID 33752626›Full record

ArticleBMC cancer2021

Establishment of a typing model for diffuse large B-cell lymphoma based on B-cell receptor repertoire sequencing.

Wenhua Jiang, Hailong Wang, Shiyong Zhou, Guoqing Zhu, Mingyou Gao, Kuo Zhao, Limeng Zhang, Xiaojing Xie, Ning Zhao, Caijuan Tian and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Clinical and translational medicine · 2024
    Review
  2. 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

14 authors at 4 institutions in 1 country.

Wenhua Jiang *Department of Radiotherapy, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Hailong Wang *Department of Oncology, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, No.354 Beima Road, Hongqiao District, Tianjin, 300120, China.
Shiyong Zhou *Department of Lymphoma, Sino-US Center of Lymphoma and Leukemia, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Guoqing ZhuState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
Mingyou GaoDepartment of Oncology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Kuo ZhaoDepartment of Oncology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Limeng ZhangDepartment of Oncology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Xiaojing XieDepartment of Oncology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Ning ZhaoDepartment of Oncology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Caijuan TianTianjin Marvel Medical Laboratory, Tianjin Marvelbio Technology Co., Ltd, Tianjin, 300381, China.
Zhenzhen ZhangTianjin Marvel Medical Laboratory, Tianjin Marvelbio Technology Co., Ltd, Tianjin, 300381, China.
Fang YanTianjin Marvel Medical Laboratory, Tianjin Marvelbio Technology Co., Ltd, Tianjin, 300381, China.
Yi PanDepartment of Pathology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Huanhu West Road, Tiyuanbei, Hexi District, Tianjin, 300060, China. tjzlpy@163.com.
Pengfei LiuDepartment of Oncology, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, No.354 Beima Road, Hongqiao District, Tianjin, 300120, China. tianjinmarvel@163.com.
Tianjin Medical University Cancer Institute and Hospital · CNTianjin University of Traditional Chinese Medicine · CNInstitute of Hematology & Blood Diseases Hospital · CNTianjin Medical University · CN

Funding

The National Natural Science Foundation of China 81702098
6 · The paper itself

Abstract

backgroundThe purpose of this study was to construct a new typing model for diffuse large B-cell lymphoma (DLBCL) patients based on the B-cell receptor (BCR) and explore its potential molecular mechanism.

methodsBCR repertoire sequencing and whole-exome sequencing were performed on formalin-fixed paraffin-embedded samples from 12 DLBCL patients. Subsequently, a typing model was built with cluster analysis, and prognostic indicators between the two groups were compared to verify the typing model. Then, mutation and bioinformatics analyses were conducted to investigate the potential biomarkers of prognostic differences between the two groups.

resultsBased on BCR sequencing data, we divided patients into two clusters (cluster 1 and cluster 2); this classification differed from the traditional typing method (GCB and non-GCB), in which cluster 1 included some non-GCB patients. The progression-free survival (PFS), overall survival (OS), metastasis and Shannon diversity index of IGH V-J and survival after chemotherapy were significantly different (P < 0.05) between the two clusters, but no statistical significance was found between the GCB and non-GCB groups. The mutation status of 248 genes was significantly different between cluster 1 and cluster 2. Among them, FTSJ3, MAGED2, and ODF3L2 were the specific mutated genes in all patients in cluster 2, and these genes could be considered critical to the different prognoses of the two clusters of DLBCL patients.

conclusionWe constructed a new typing model of DLBCL based on BCR repertoire sequencing that can better predict the survival time after chemotherapy. FTSJ3, MAGED2, and ODF3L2 may represent key genes for the difference in prognosis between the two clusters.

Indexed as

Adaptor Proteins, Signal TransducingAdultAgedAntigens, NeoplasmCluster AnalysisExome SequencingFemaleHumansLymphoma, Large B-Cell, DiffuseMaleMethyltransferasesMiddle AgedMutationPrognosisReceptors, Antigen, B-CellSeminal Plasma ProteinsAdaptor Proteins, Signal TransducingAntigens, NeoplasmFTSJ3 protein, humanMAGED2 protein, humanMethyltransferasesODF3 protein, humanReceptors, Antigen, B-CellSeminal Plasma ProteinsB-cell receptor repertoireDiffuse large B-cell lymphomaPrognosisTyping

Identifiers

PMID33752626
PMCPMC7986026
OpenAlexW3139217668

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.