Evidence map›Paper›PMID 35831833›Full record

ArticleBiomarker research2022

High expression of TMEM244 is associated with poor overall survival of patients with T-cell lymphoma.

Cunte Chen, Shaohua Chen, Gengxin Luo, Liang Wang, Chengwu Zeng, Grzegorz K Przybylski, Yangqiu Li

Open access · goldAbstract readLetter
In one paragraph

Article in Biomarker research, 2022. 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
1.0field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. NRI and SIRI are the optimal combinations for prognostic risk stratification in patients with non-small cell lung cancer after EGFR-TKI therapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  2. Article
  3. International journal of molecular sciences · 2023
    Article
  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

7 authors at 3 institutions in 3 countries.

Cunte ChenInstitute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, China.ORCID http://orcid.org/0000-0003-3733-9174
Shaohua ChenInstitute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, China.ORCID http://orcid.org/0000-0003-4945-5914
Gengxin LuoDepartment of Hematology, First Affiliated Hospital, Jinan University, Guangzhou, China.
Liang WangDepartment of Oncology, First Affiliated Hospital, Jinan University, Guangzhou, China.
Chengwu ZengInstitute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, China. bio-zcw@163.com.ORCID http://orcid.org/0000-0002-1333-3918
Grzegorz K PrzybylskiInstitute of Human Genetics, Polish Academy of Sciences, Poznań, Poland. grzegorz.przybylski@igcz.poznan.pl.ORCID http://orcid.org/0000-0001-5783-1567
Yangqiu LiInstitute of Hematology, School of Medicine, Key Laboratory for Regenerative Medicine of Ministry of Education, Jinan University, Guangzhou, China. yangqiuli@hotmail.com.ORCID http://orcid.org/0000-0002-0974-4036
Jinan University · CNFirst Affiliated Hospital of Jinan University · CNInstitute of Human Genetics · PL

Funding

Guangdong Science and Technology Project 2020A0505100042Intergovernmental International Cooperation on Scientific and Technological Innovation project of Chinese Ministry of Science and Technology 2017YFE0131600National Science Centre, Poland 2017/27/B/NZ5/01540
6 · The paper itself

Abstract

T-cell lymphoma (TCL) is an aggressive and genetically heterogeneous malignancy with adverse clinical outcomes; thus, it is worth exploring biomarkers for risk stratification. Previous studies have demonstrated that transmembrane protein 244 gene (TMEM244) is ectopically expressed in Sézary syndrome (SS). In this study, the expression level of TMEM244 and its prognostic value for TCL patients was explored by analyzing RNA-seq data of two large datasets (GSE132550 and GSE113113) containing 129 TCL patients and 13 healthy individuals (HIs) from the Gene Expression Omnibus (GEO) database, the PRJCA002270 dataset containing 124 patients with T-cell acute lymphoblastic leukemia (T-ALL) from the BioProject database, and peripheral blood (PB) samples of 24 TCL and 29 T-ALL patients, as well as 11 normal CD3 + T-cells from our clinical center (JNU). The results suggested that TMEM244 was significantly up-regulated in TCL patients compared with normal CD3 + T-cells or T-ALL in the JNU, GSE132550 and GSE113113 datasets (P < 0.05). However, TMEM244 shows no expression in patients with T-ALL in the JNU-T-ALL and PRJCA002270 datasets. The receiver operating characteristic (ROC) curve analysis indicated that TMEM244 expression had a very high accuracy in diagnosing TCL compared with T-ALL (area under the curve (AUC): 99.4%; P < 0.001). Importantly, high TMEM244 expression was significantly associated with poor OS and shorter 5-year restricted mean survival time (RMST) in TCL patients, especially those treated with chemotherapy. In summary, TMEM244 is also expressed in other types of TCL besides SS, but not in T-ALL. High TMEM244 expression is associated with poor OS in TCL patients, which might be a novel biomarker for prognostic stratification in TCL patients and facilitate the design of novel therapies.

Indexed as

PrognosisT-cell acute lymphoblastic leukemiaT-cell lymphomaTMEM244

Identifiers

PMID35831833
PMCPMC9281042
OpenAlexW4285091824

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.