Evidence map›Paper›PMID 41137062›Full record

ArticleGenome medicine2025

Clinical characteristics and molecular heterogeneity in Follicular lymphoma with extranodal involvement.

Rui-Chi Li, Wei Tang, Hui-Lai Zhang, Xian-Huo Wang, Rui Sun, Nan Wang, Tian-Yuan Xu, Si-Yuan Chen, Yan Feng, Rong Shen and 7 more

Abstract read
In one paragraph

Article in Genome medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

17 authors.

Rui-Chi Li *Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, 200025, China.
Wei Tang *Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, 200025, China.
Hui-Lai Zhang *Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Xian-Huo Wang *Department of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Rui SunShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, 200025, China.
Nan WangShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, 200025, China.
Tian-Yuan XuShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, 200025, China.
Si-Yuan ChenShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, 200025, China.
Yan FengState Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Rong ShenShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, 200025, China.
Li WangShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, 200025, China.
Shu ChengShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, 200025, China.
Peng-Peng XuShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, 200025, China.
Hong-Mei YiDepartment of Pathology, Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lei DongDepartment of Pathology, Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zhong ZhengShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, 200025, China. zheng_zhong89@163.com.
Wei-Li ZhaoShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, 200025, China. zhao.weili@yahoo.com.

Funding

Chang Jiang Scholars Program, Shanghai Clinical Research Center for Cell Therapy 23J41900100Clinical Research Plan of Shanghai Hospital Development Center SHDC2020CR1032BMulticenter Clinical Research Project by Shanghai Jiao Tong University School of Medicine DLY201601National Key Research and Development Program of China 2022YFC2502600National Natural Science Foundation of China 81900193National Natural Science Foundation of China 82130004Shanghai Municipal Education Commission Gaofeng Clinical Medicine Grant Support 20152206
6 · The paper itself

Abstract

backgroundFollicular lymphoma (FL) represents the most common subtype of indolent non-Hodgkin's lymphoma. Extranodal involvement (ENI) indicates a poor clinical outcome in patients who received rituximab-based immunochemotherapy. Recent studies indicate that genetic alterations and tumor microenvironment dysregulation drive extranodal dissemination and lymphoma progression. However, the molecular mechanisms underlying ENI in FL remain to be fully elucidated.

methodsAiming to investigate the influence of oncogenic mutations and tumor microenvironment alterations on ENI in FL, the clinical features of 501 patients with newly diagnosed FL receiving rituximab-based therapy were analyzed, with DNA and RNA sequencing performed on 403 and 175 patients, respectively.

resultsMultiple ENI was observed in 120 (24%) patients and was significantly related to advanced Ann Arbor stage, decreased hemoglobin, elevated lactate dehydrogenase, elevated beta-2 microglobulin, lymph nodes ≥ 5 sites, lymph nodes > 6 cm, and high risk of progression of disease within 2 years (POD24). Increased KMT2D, CREBBP, CARD11, and STAT6 mutations, as well as downregulation of immune-associated pathways and alterations in lipid metabolism, were associated with multiple ENI. In the rituximab plus chemotherapy (R-chemo) cohort (n = 344), involvement of bone marrow, lung, liver, bones, and kidney/adrenal glands were unfavorable predictors of progression-free survival (PFS), with involvement of liver and kidney/adrenal glands as unfavorable predictors of overall survival (OS). However, in the rituximab plus lenalidomide immunotherapy (R2) cohort (n = 157), no ENI site showed a significant difference in PFS and OS.

conclusionsNegative prognostic impact of multiple ENI upon R-chemo therapy could be overcome by R2 therapy in FL. Better understanding of the biological behavior of multiple ENI could provide a potential clinical rationale for future mechanism-based therapy of FL.

Indexed as

Lymphoma, FollicularAdultAgedAged, 80 and overBiomarkers, TumorFemaleHumansMaleMiddle AgedMutationPrognosisRituximabTumor MicroenvironmentBiomarkers, TumorRituximabExtranodal involvementFollicular lymphomaImmunochemotherapyImmunotherapyLenalidomideMicroenvironmentRituximab

Identifiers

PMID41137062
PMCPMC12553287

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.