Evidence map›Paper›PMID 40755773›Full record

ArticleFrontiers in immunology2025

Glofitamab treatment of Richter transformation with isolated central nervous system involvement: a case report.

Kang Lu, Ping Chen, Xiaohui Zhang, Weicheng Zheng, Liying Zhang, Xuemei Wu, Bingzong Li

Abstract readCase Reports
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
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

7 authors.

Kang Lu *Department of Hematology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Ping Chen *Department of Hematology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Xiaohui ZhangDepartment of Hematology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Weicheng ZhengDepartment of Hematology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Liying ZhangDepartment of Hematology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Xuemei WuDepartment of Hematology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Bingzong LiDepartment of Hematology, The Second Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse large B-cell lymphoma (DLBCL) is a common subtype of Richter transformation (RT) in chronic lymphocytic leukaemia (CLL), accounting for 90-95% of all transformation cases. However, RT with isolated cerebral involvement is rare. Herein, we report the case of a 67-year-old man with DLBCL that transformed from CLL during obinutuzumab treatment. This patient developed RT with only central nervous system (CNS) involvement and no systemic features. After undergoing single-agent treatment with the CD20×CD3 bispecific antibody glofitamab, the patient regained consciousness and improved clinically. Although only one successful case has been presented, glofitamab may be considered a promising therapeutic option for patients with RT and isolated CNS involvement.

Indexed as

Antibodies, BispecificAntineoplastic Agents, ImmunologicalCell Transformation, NeoplasticCentral Nervous System NeoplasmsLeukemia, Lymphocytic, Chronic, B-CellLymphoma, Large B-Cell, DiffuseAgedAntibodies, Monoclonal, HumanizedHumansMaleTreatment OutcomeAntibodies, BispecificAntibodies, Monoclonal, HumanizedAntineoplastic Agents, Immunologicalobinutuzumabcase reportDLBCLglofitamabisolated central nervous system involvementRichter transformation

Identifiers

PMID40755773
PMCPMC12313487

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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.