Evidence map›Paper›PMID 40780199›Full record

ArticleCell reports. Medicine2025

Whole-genome sequencing reveals three follicular lymphoma subtypes with distinct cell of origin and patient outcomes.

Weicheng Ren, Mingyu Yang, Xianhuo Wang, Man Nie, Yuhua Huang, Hui Wan, Dongbing Liu, Xiaobo Li, Xiaofei Ye, Bin Meng and 6 more

Abstract read
In one paragraph

Article in Cell reports. Medicine, 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

16 authors.

Weicheng RenDivision of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Mingyu YangDivision of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden; BGI Genomics, Shenzhen, China; HIM-BGI Omics Center, Hangzhou Institute of Medicine, Chinese Academy of Sciences, BGI Research, Hangzhou, China.
Xianhuo WangDepartment of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Man NieDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Yuhua HuangDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Hui WanDivision of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Dongbing LiuBGI Genomics, Shenzhen, China; HIM-BGI Omics Center, Hangzhou Institute of Medicine, Chinese Academy of Sciences, BGI Research, Hangzhou, China.
Xiaobo LiBGI Genomics, Shenzhen, China; HIM-BGI Omics Center, Hangzhou Institute of Medicine, Chinese Academy of Sciences, BGI Research, Hangzhou, China.
Xiaofei YeDivision of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden; Kindstar Global Precision Medicine Institute, Wuhan, China.
Bin MengDepartment of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Wenqi JiangDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Huiqiang HuangDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Zhiming LiDepartment of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China. Electronic address: lizhm@sysucc.org.cn.
Huilai ZhangDepartment of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China. Electronic address: zhlwgq@126.com.
Kui WuBGI Genomics, Shenzhen, China; HIM-BGI Omics Center, Hangzhou Institute of Medicine, Chinese Academy of Sciences, BGI Research, Hangzhou, China. Electronic address: wukui@genomics.cn.
Qiang Pan-HammarströmDivision of Immunology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden; Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China. Electronic address: qiang.pan-hammarstrom@ki.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Follicular lymphoma (FL) is characterized by clinical, phenotypic, and genetic heterogeneity. Here, we conduct whole-genome sequencing on 131 Chinese FL samples and identify three clinically relevant genetic subtypes. These include C1, associated with favorable prognoses and enriched for BCL6-related translocations and mutations in the NOTCH/nuclear factor κB (NF-κB)/immune evasion pathways; C2, characterized by BCL2-IGH translocations and mutations in chromatin modifiers; and C3, associated with poorer prognosis, lacking BCL2-IGH/BCL6-related translocations but exhibiting more copy number variations. We validate these subtypes in an independent Western cohort (n = 227) using the same classification strategy. Transcriptionally, C1 and C3 tumors display signatures of activated B cell-like diffuse large B cell lymphoma (DLBCL), whereas C2 tumors resemble germinal center B cell-like DLBCL. Furthermore, C1 tumors are distinguished from C3 by exhibiting gene signatures of age-associated B cells and an inflamed tumor microenvironment. Our findings illustrate the molecular heterogeneity of FL and define subtypes with distinct cell of origin and clinical outcomes, offering opportunities for personalized therapeutic strategies.

Indexed as

Lymphoma, FollicularWhole Genome SequencingAdultAgedB-LymphocytesDNA Copy Number VariationsFemaleHumansLymphoma, Large B-Cell, DiffuseMaleMiddle AgedMutationPrognosisProto-Oncogene Proteins c-bcl-2Translocation, GeneticTumor MicroenvironmentProto-Oncogene Proteins c-bcl-2cell of originfollicular lymphomagenetic subtypesgenomicssomatic mutationstranscriptomicstumor microenvironment

Identifiers

PMID40780199
PMCPMC12432372

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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.