Evidence map›Paper›PMID 39512504›Full record

ArticleOncology letters2025

Biomarker potential of nuclear Nrf2 activation in the ABC subtype of diffuse large B‑cell lymphoma.

Chin-Mu Hsu, Shih-Yu Kao, Chia-Hung Yen, Chi-En Hsiao, Shih-Feng Cho, Hui-Ching Wang, Tsung-Jang Yeh, Jeng-Shiun Du, Min-Hong Wang, Tzu-Yu Hsieh and 6 more

Abstract read
In one paragraph

Article in Oncology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Chin-Mu HsuDivision of Hematology and Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.
Shih-Yu KaoCancer Center, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.
Chia-Hung YenCenter for Cancer Research, Kaohsiung Medical University, Kaohsiung 807378, Taiwan, R.O.C.
Chi-En HsiaoDepartment of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA.
Shih-Feng ChoDivision of Hematology and Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.
Hui-Ching WangDivision of Hematology and Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.
Tsung-Jang YehDivision of Hematology and Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.
Jeng-Shiun DuDivision of Hematology and Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.
Min-Hong WangDivision of Hematology and Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.
Tzu-Yu HsiehDivision of Hematology and Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.
Samuel Yien HsiaoCenter for Computational and Integrative Biology, University of Rutgers-Camden, Camden, NJ 08102, USA.
Yuhsin TsaiGraduate Institute of Chinese Medicine, School of Chinese Medicine, China Medical University, Taichung 404328, Taiwan, R.O.C.
Li-Chuan HungDepartment of Long-Term Care and Health Management, Cheng Shiu University, Kaohsiung 833301, Taiwan, R.O.C.
Yi-Chang LiuDivision of Hematology and Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.
Kung-Chao ChangDepartment of Pathology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 701401, Taiwan, R.O.C.
Hui-Hua HsiaoDivision of Hematology and Oncology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 807377, Taiwan, R.O.C.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffuse large B-cell lymphoma (DLBCL) is an aggressive B-cell lymphoma characterized by distinct subtypes and heterogeneous treatment outcomes. Oxidative stress and the dysregulation of related regulatory genes are prevalent in DLBCL, prompting an investigation into the nuclear factor erythroid 2-related factor 2 (Nrf2)-kelch-like ECH-associated protein 1 (Keap1) signaling pathway and associated genes. The present study assessed pathological specimens and clinical data from 43 newly diagnosed patients with DLBCL, comparing the associations and correlations between the expression of Nrf2, Keap1, microtubule-associated protein 1 light chain 3β (LC3B) and nitrotyrosine and the activated B-cell (ABC) and germinal center B-cell (GCB) subtypes of DLBCL using immunohistochemistry and digital image analysis software. Nuclear Nrf2 activation was observed in 33.3% of patients with DLBCL ABC, demonstrating a higher prevalence of hepatitis B surface antigen positivity, calcium ions and significant body weight loss (P<0.05). Total Nrf2 expression was associated with the DLBCL GCB subtype and inversely correlated with Keap1 expression in the DLBCL ABC subtype. Furthermore, a positive correlation was demonstrated between Nrf2 and LC3, indicating that total Nrf2 is inhibited by Keap1 and regulates LC3 expression. The ABC subtype was also associated with lower white blood cell counts and more frequent chemotherapy courses than the GCB subtype. These findings suggest that nuclear Nrf2 could be a biomarker for DLBCL clinical diagnosis.

Indexed as

activated B-celldiffuse large B-cell lymphomagerminal center B-cellkelch-like ECH-associated protein 1microtubule-associated protein 1 light chain 3βnitrotyrosinenuclear factor erythroid 2-related factor 2

Identifiers

PMID39512504
PMCPMC11542154

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.