Evidence map›Paper›PMID 34635181›Full record

ArticleBiomarker research2021

Deciphering genes associated with diffuse large B-cell lymphoma with lymphomatous effusions: A mutational accumulation scoring approach.

Sina Abdollahi, Seyedeh Zahra Dehghanian, Liang-Yi Hung, Shiang-Jie Yang, Dao-Peng Chen, L Jeffrey Medeiros, Jung-Hsien Chiang, Kung-Chao Chang

Open access · goldAbstract read
In one paragraph

Article in Biomarker research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Sina AbdollahiIntelligent Information Retrieval Lab, Department of Computer Science and Information Engineering, National Cheng Kung University, 701, Tainan, Taiwan.
Seyedeh Zahra Dehghanian *Institute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung, Taiwan.
Liang-Yi Hung *Department of Biotechnology and Bioindustry Sciences, College of Bioscience and Biotechnology, National Cheng Kung University, Tainan, Taiwan.
Shiang-Jie Yang *Institute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Dao-Peng Chen *Kim Forest Enterprise Co., Ltd, New Taipei City, Taiwan.
L Jeffrey MedeirosDepartment of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jung-Hsien ChiangIntelligent Information Retrieval Lab, Department of Computer Science and Information Engineering, National Cheng Kung University, 701, Tainan, Taiwan. jchiang@mail.ncku.edu.tw.
Kung-Chao ChangDepartment of Pathology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, 138 Sheng-Li Road, 704, Tainan, Taiwan. changkc@mail.ncku.edu.tw.
National Cheng Kung University · TWNational Cheng Kung University Hospital · TWNational Sun Yat-sen University · TWThe University of Texas MD Anderson Cancer Center · US

Funding

kaohsiung medical university KMU-TC109A04-1ministry of science and technology, taiwan MOST 106-2320-B-006-037-MY3ministry of science and technology, taiwan MOST 109-2320-B-006-045-MY3
6 · The paper itself

Abstract

introductionEarlier studies have shown that lymphomatous effusions in patients with diffuse large B-cell lymphoma (DLBCL) are associated with a very poor prognosis, even worse than for non-effusion-associated patients with stage IV disease. We hypothesized that certain genetic abnormalities were associated with lymphomatous effusions, which would help to identify related pathways, oncogenic mechanisms, and therapeutic targets.

methodsWe compared whole-exome sequencing on DLBCL samples involving solid organs (n = 22) and involving effusions (n = 9). We designed a mutational accumulation-based approach to score each gene and used mutation interpreters to identify candidate pathogenic genes associated with lymphomatous effusions. Moreover, we performed gene-set enrichment analysis from a microarray comparison of effusion-associated versus non-effusion-associated DLBCL cases to extract the related pathways.

resultsWe found that genes involved in identified pathways or with high accumulation scores in the effusion-based DLBCL cases were associated with migration/invasion. We validated expression of 8 selected genes in DLBCL cell lines and clinical samples: MUC4, SLC35G6, TP53BP2, ARAP3, IL13RA1, PDIA4, HDAC1 and MDM2, and validated expression of 3 proteins (MUC4, HDAC1 and MDM2) in an independent cohort of DLBCL cases with (n = 31) and without (n = 20) lymphomatous effusions. We found that overexpression of HDAC1 and MDM2 correlated with the presence of lymphomatous effusions, and HDAC1 overexpression was associated with the poorest prognosis. 

conclusionOur findings suggest that DLBCL associated with lymphomatous effusions may be associated mechanistically with TP53-MDM2 pathway and HDAC-related chromatin remodeling mechanisms.

Indexed as

BioinformaticsDiffuse large B-cell lymphomaHDAC1Lymphomatous effusionsPrognosisSequencingWhole exome

Identifiers

PMID34635181
PMCPMC8504051
OpenAlexW3205489719

What OpenQuestion holds

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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.