Evidence map›Paper›PMID 39692783›Full record

ReviewAnnals of hematology2025

Clinical outcomes and safety of CAR-T cells in treatment of T-Cell acute lymphoblastic leukemia/lymphoma.

Jin-Feng Ma, Chun-Long Yan, Xu Jia, Hong-Jia Zhu, Jia-Wei Yan, Mei-Jing Liu, Dai-Yi Zhang, Shen-Hao Liu, Nan Xu, Hai-Guo Zhang and 6 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of hematology, 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. Review
  4. 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.

Jin-Feng Ma *Jining No.1 People'hospital, Jining, China.
Chun-Long Yan *Department of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart Lung and Blood Vessel Diseases, Capital Medical University, Beijing, China.
Xu Jia *Research and Development Department, Shanghai Unicar Therapy Bio-Medicine Technology Co., Ltd, Shanghai, China.
Hong-Jia Zhu *Research and Development Department, Shanghai Unicar Therapy Bio-Medicine Technology Co., Ltd, Shanghai, China.
Jia-Wei YanNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Mei-Jing LiuNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Dai-Yi ZhangHealth Management Center, the First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu Province, China.
Shen-Hao LiuNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Nan XuResearch and Development Department, Shanghai Unicar Therapy Bio-Medicine Technology Co., Ltd, Shanghai, China.
Hai-Guo ZhangJining No.1 People'hospital, Jining, China.
Ling YeJining No.1 People'hospital, Jining, China.
Lei YuResearch and Development Department, Shanghai Unicar Therapy Bio-Medicine Technology Co., Ltd, Shanghai, China.
De-Pei WuNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China. drwudepei@163.com.
Wen-Jie GongNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China. gongwenjie@suda.edu.cn.
Hai-Ping DaiNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China. daihaiping8@126.com.
Sheng-Li XueNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, China. slxue@suda.edu.cn.

Funding

Boxi Clinical Research Project Grant No. BXLC008Boxi Leading Talent Program Grant No. 02622Jiangsu Province "333" Project, Social Development Project of the Science and Technology Department of Jiangsu Grant No. BE2021649Key R&D Program of Jining 2023YXNS103Key Technologies Research and Development Program 2022YFC2502703National Natural Science Foundation of China Nos. 82470224, 82470174, 82270165, 82200249Natural Science Research of Jiangsu Higher Education Institutions of China Grant No. BK20221235
6 · The paper itself

Abstract

Relapsed or refractory T-cell acute lymphoblastic leukemia/lymphoma (r/r T-ALL/LBL) are frequently aggressive and associated with unfavorable prognoses. Pan-targeted Chimeric Antigen Receptor (CAR) T-cell therapy have shown promising results in clinical trials. In recent years, CD7 CAR T-cell and CD5 CAR T-cell demonstrate effectiveness in treating r/r T-ALL/LBL patients with bone marrow infiltration. However, nearly half of r/r T-ALL/T-LBL patients are accompanied by extramedullary disease (EMD), where comprehensive data on the efficacy and safety of CAR T-cell therapy remain limited. Additionally, CD7 CAR T-cell and CD5 CAR T-cell therapy can cause severe immunodeficiency and hematologic toxicity, complicating with difficult immune reconstitution. This review provides an in-depth analysis of the safety profile and adverse events associated with CAR T-cell therapy in r/r T-ALL/LBL, with a a particular emphasis on its impact in patients with EMD.

Indexed as

Immunotherapy, AdoptivePrecursor T-Cell Lymphoblastic Leukemia-LymphomaReceptors, Chimeric AntigenHumansT-LymphocytesTreatment OutcomeReceptors, Chimeric AntigenChimeric antigen receptor T-cellExtramedullary diseaseT-cell acute lymphoblastic leukemia/lymphoma

Identifiers

What OpenQuestion holds

Textmetadata
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.