Evidence map›Paper›PMID 40238894›Full record

ArticleBlood advances2025

Multiplexed imaging mass cytometry elicits p-S6 as a therapeutic and prognostic factor in diffuse large B-cell lymphoma.

Bo Zhang, Yaping Xie, Minmin Shen, Jianai Sun, Yue Li, Jing Zhang, Qi Li, Chuanghua Chen, Zhenzhen Chen, Wei Wang and 8 more

Erratum issuedAbstract read
In one paragraph

Article in Blood advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

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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

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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

5 · Who and what money

Authors and funding

18 authors.

Bo ZhangSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.ORCID 0009-0005-2899-0434
Yaping XieDepartment of Hematology, Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
Minmin ShenSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Jianai SunDepartment of Hematology, Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-5148-9489
Yue LiSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.ORCID 0000-0003-0846-3299
Jing ZhangSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Qi LiSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Chuanghua ChenDepartment of Ultrasound, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhenzhen ChenDepartment of Hematology, Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
Wei WangDepartment of Pathology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jingcheng WuInnovation Institute for Artificial Intelligence in Medicine and Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.
Zhan ZhouInnovation Institute for Artificial Intelligence in Medicine and Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China.ORCID 0000-0002-2730-5483
Jianhua FangDepartment of Ultrasound, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Youyou YanSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Shenxian QianDepartment of Hematology, Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.
Xiangmin TongDepartment of Hematology, Hangzhou First People's Hospital, Westlake University School of Medicine, Hangzhou, China.ORCID 0000-0002-4540-5218
Nengming LinSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.ORCID 0000-0001-5202-802X
Hongyan TongDepartment of Hematology, Zhejiang Provincial Key Laboratory of Hematopoietic Malignancy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0001-5603-4160

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractDiffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease characterized by distinct morphological, genetic, and clinical features. DLBCL with Myc/Bcl-2 double expression (DE) has been positively correlated with poor prognosis and a low response rate to chemotherapy. However, molecular mechanisms underlying the malignant progression of DE DLBCL and the tumor microenvironment of DE DLBCL have not been fully elucidated. In this study, we assessed protein expression in samples from 18 patients with DLBCL using imaging mass cytometry with a panel of 26 metal-tagged antibodies, identifying 8 cell types within the tumor microenvironment. Although the ratio of immune cells did not significantly differ between DE and non-DE tissues, a strong interaction between fibroblasts and exhausted CD8+ T cells was specifically observed in DE tissues. By comparing protein expression ratios between DE and non-DE tissues, we found that p-S6 levels were significantly higher in B cells and fibroblasts of DE samples than non-DE samples. In our retrospective study, p-S6 independently predicted an inferior prognosis in patients with DLBCL (n = 71; hazard ratio, 5.758; 95% confidence interval, 1.297-25.558; P = .021). In addition, coculture with fibroblasts accelerated the in vitro and in vivo growth of DLBCL cells, and enrichment of the mammalian target of rapamycin/S6 pathways was identified using bulk RNA sequencing. Conversely, specific inhibition of p-S6 suppressed DLBCL cell proliferation and exhibited synergistic effects with chemotherapy in vivo. In summary, our findings elucidated the specific tumor microenvironment in DE DLBCL tissues and identified p-S6 as a promising therapeutic target to enhance the efficacy of chemotherapy.

Indexed as

Lymphoma, Large B-Cell, DiffuseAdultAgedAnimalsBiomarkers, TumorCell Line, TumorFemaleHumansMaleMiceMiddle AgedPrognosisRetrospective StudiesTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID40238894
PMCPMC12246606

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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.