Evidence map›Paper›PMID 35193595›Full record

ArticleMolecular cancer2022

BCL-2 expression promotes immunosuppression in chronic lymphocytic leukemia by enhancing regulatory T cell differentiation and cytotoxic T cell exhaustion.

Lu Liu, Xianfeng Cheng, Hui Yang, Senlin Lian, Yuegen Jiang, Jinhua Liang, Xiao Chen, Suo Mo, Yu Shi, Sishu Zhao and 4 more

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
8.4field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
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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 5 institutions in 2 countries.

Lu Liu *Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
Xianfeng Cheng *Department of Clinical laboratory, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, China.
Hui Yang *Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
Senlin LianJiangsu Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, 210093, China.
Yuegen JiangDepartment of Clinical laboratory, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, China.
Jinhua LiangDepartment of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
Xiao ChenDepartment of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
Suo MoDepartment of Clinical laboratory, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, China.
Yu ShiDepartment of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
Sishu ZhaoDepartment of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
Jianyong LiDepartment of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China.
Runqiu JiangJiangsu Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, 210093, China. jiangrq@nju.edu.cn.
Dong-Hua YangDepartment of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, St. John's University, Queens, NY, 11439, USA. yangd1@stjohns.edu.ORCID 0000-0001-8649-5531
Yujie WuDepartment of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China. wuyujie123456@163.com.
Jiangsu Province Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNChina Pharmaceutical University · CNNanjing Medical University · CNSt. John's University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic lymphocytic leukemia (CLL) results in increased susceptibility to infections. T cell dysfunction is not associated with CLL in all patients; therefore, it is important to identify CLL patients with T cell defects. The role of B-cell lymphoma-2 (BCL-2) in CLL has been explored; however, few studies have examined its role in T cells in CLL patients. Herein, we have investigated the regulatory role of BCL-2 in T cells in the CLL tumor microenvironment.

methodsThe expression of BCL-2 in T cells was evaluated using flow cytometry. The regulatory roles of BCL-2 were investigated using single-cell RNA sequencing (scRNA-seq) and verified using multi-parameter flow cytometry on CD4 and CD8 T cells. The clinical features of BCL-2 expression in T cells in CLL were also explored.

resultsWe found a significant increase in BCL-2 expression in the T cells of CLL patients (n = 266). Single cell RNA sequencing (scRNA-seq) indicated that BCL-2

conclusionBCL-2 expression in the T cells of CLL patients is associated with immunosuppression via promotion of Treg abundance and CTL exhaustion.

Indexed as

Leukemia, Lymphocytic, Chronic, B-CellProto-Oncogene Proteins c-bcl-2T-Lymphocytes, CytotoxicCell DifferentiationHumansImmunosuppression TherapyTumor MicroenvironmentBCL2 protein, humanProto-Oncogene Proteins c-bcl-2BCL-2Chronic lymphocytic leukemiaSingle-cell RNA sequencingT cells

Identifiers

PMID35193595
PMCPMC8862474
OpenAlexW4213340657

What OpenQuestion holds

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LicenceCC BY
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.