Evidence map›Paper›PMID 41041664›Full record

ArticleFrontiers in cell and developmental biology2025

Cholesterol metabolic reprogramming drives the onset of DLBCL and represents a promising therapeutic target.

Lili Zhou, Wei Cheng, Dan Luo, Zhida Peng, Jiaqi Mei, Qingqing Luo, Tiantian Yu, Ya Wang, Zhixiang Lei, Chunhong Huang and 3 more

Abstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

13 authors.

Lili Zhou *Department of Hematology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi Provincial Key Laboratory of Hematological Diseases (2024SSY06052), Nanchang, Jiangxi, China.
Wei Cheng *Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Dan LuoDepartment of Hematology, Jishou University First Affiliated Hospital, Jishou, China.
Zhida PengDepartment of Pathology, Eye Hospital affiliated with Nanchang University, Nanchang, China.
Jiaqi MeiDepartment of Hematology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi Provincial Key Laboratory of Hematological Diseases (2024SSY06052), Nanchang, Jiangxi, China.
Qingqing LuoDepartment of Hematology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi Provincial Key Laboratory of Hematological Diseases (2024SSY06052), Nanchang, Jiangxi, China.
Tiantian YuDepartment of Hematology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi Provincial Key Laboratory of Hematological Diseases (2024SSY06052), Nanchang, Jiangxi, China.
Ya WangDepartment of Hematology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi Provincial Key Laboratory of Hematological Diseases (2024SSY06052), Nanchang, Jiangxi, China.
Zhixiang LeiDepartment of Hematology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi Provincial Key Laboratory of Hematological Diseases (2024SSY06052), Nanchang, Jiangxi, China.
Chunhong HuangDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Nianlong YanDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Daya LuoDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Li YuDepartment of Hematology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Jiangxi Provincial Key Laboratory of Hematological Diseases (2024SSY06052), Nanchang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cholesterol is an essential molecule for tumor cell growth and proliferation, and dysregulated cholesterol metabolism has been widely implicated in cancer pathogenesis. However, the specific role and underlying molecular mechanisms of cholesterol metabolism alterations in diffuse large B-cell lymphoma (DLBCL) remain poorly understood. Methods: We retrospectively analyzed clinical data from 200 DLBCL patients and 185 healthy controls, focusing on lipid and lipoprotein levels, including triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB), and apolipoprotein E (ApoE). Univariate and multivariate Cox proportional hazard models were used to evaluate the prognostic value of these markers, and Kaplan-Meier analysis assessed their associations with overall survival (OS). Bioinformatics analysis predicted associations between lipid markers and cholesterol metabolism. Cellular experiments further investigated the expression of cholesterol metabolism-related proteins and the effect of the cholesterol-depleting agent Methyl-β-cyclodextrin (MβCD) on DLBCL cells. Results: We confirmed significant alterations in metabolic markers (such as TC and ApoA1) between the healthy control group and patients, which were significantly associated with patient prognosis and overall OS. Bioinformatics analysis revealed a strong correlation between these markers and elevated CD36 expression. In addition, DLBCL cells exhibited increased expression of cholesterol uptake and synthesis proteins (CD36, SREBP2, and HMGCR) and decreased expression of efflux proteins (APOA1, NR1H2 and ABCG1), consistent with cholesterol metabolic reprogramming. Treatment with MβCD disrupted CD36 expression and cholesterol metabolism, leading to reduced DLBCL cell survival. Conclusion: These findings underscore the pivotal role of cholesterol metabolic reprogramming in DLBCL progression. CD36 and related metabolic markers represent promising therapeutic targets, opening novel avenues for the treatment of this malignancy.

Indexed as

cholesterol metabolismdiffuse large B-cell lymphomaprognosisserumlipidssurvival

Identifiers

PMID41041664
PMCPMC12484024

What Socratic holds

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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 Socratic graph.