Evidence map›Paper›PMID 30518980›Full record

ArticleBone marrow transplantation2019

A retrospective comparison of allogenic and autologous chimeric antigen receptor T cell therapy targeting CD19 in patients with relapsed/refractory acute lymphoblastic leukemia.

Yongxian Hu, Jiasheng Wang, Guoqing Wei, Jian Yu, Yi Luo, Jimin Shi, Wenjun Wu, Kui Zhao, Lei Xiao, Yanlei Zhang and 4 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Bone marrow transplantation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
1.8field-weighted citation impact, top 11% 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

40 citing papers in PubMed, 46 citations in OpenAlex.

  1. Ruxolitinib mitigates steroid-refractory CRS during CAR T therapy.Journal of cellular and molecular medicine · 2021
    Trial
  2. Late Events after Treatment with CD19-Targeted Chimeric Antigen Receptor Modified T Cells.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2020
    Trial
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  18. The future of affordable cancer immunotherapy.Frontiers in immunology · 2023
    Review
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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 1 institution in 1 country.

Yongxian HuBone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, China.
Jiasheng WangBone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, China.
Guoqing WeiBone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, China.
Jian YuBone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, China.
Yi LuoBone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, China.
Jimin ShiBone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, China.
Wenjun WuBone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, China.
Kui ZhaoPETCT Center, Bone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, China.
Lei XiaoInnovative Cellular Therapeutics Co. Ltd, Shanghai, China.
Yanlei ZhangShanghai YaKe Biotechnology Ltd, Shanghai, China.
Zhao WuInnovative Cellular Therapeutics Co. Ltd, Shanghai, China.
Huijun XuBone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, China.
Alex Hongsheng ChangShanghai YaKe Biotechnology Ltd, Shanghai, China.
He HuangBone Marrow Transplantation Center, The First Affiliated Hospital, School of Medicine, Zhejiang University, Zhejiang, China. huanghe@zju.edu.cn.
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The source of CAR T cells can be autologous (autoCAR) or allogeneic (alloCAR). The latter is seen in patients with a history of allogeneic hematopoietic stem cell transplantation, and can be either donor-derived (DD-alloCAR) or recipient-derived (RD-alloCAR). While autoCAR is activated by CAR only, alloCAR receives activation signals from both T-cell receptor (TCR) and CAR. As a result, the biological differences could impact clinical outcomes. We retrospectively reviewed 31 patients: 17 received autoCAR, 11 received RD-alloCAR, and 3 received DD-alloCAR. After a median follow-up of 9 months, CR rate was 88.2% (95% CI 63.6-98.5%) in autoCAR and 100% (95% CI 71.5-100%) in RD-alloCAR. The median peak expansion in the autoCAR was significantly higher than the RD-alloCAR group (p = 0.007). RD-alloCAR group had significantly less patients with severe CRS (Grade ≥ 3) than the autoCAR group (p = 0.049). Acute graft-versus-host disease (GVHD) occurred in 2 (18.2%) of RD-alloCAR patients and 1 (33.3%) of DD-alloCAR patients. Univariate subgroup analysis of alloCAR group showed the presence of cGVHD at the time of T-cell collection was significantly associated with less than 6-month relapses (p = 0.022). RD-alloCAR patients with or without cGVHD at PBMC collection did not differ regarding the peak CAR T-cell expansion, CRS grades and OS.

Indexed as

Antigens, CD19FemaleHematopoietic Stem Cell TransplantationHumansMalePrecursor Cell Lymphoblastic Leukemia-LymphomaReceptors, Chimeric AntigenRecurrenceRetrospective StudiesT-LymphocytesTransplantation ConditioningTransplantation, HomologousAntigens, CD19Receptors, Chimeric Antigen

Identifiers

PMID30518980
OpenAlexW2903484859

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.