Evidence map›Paper›PMID 42867210›Full record

ArticleCancer science2026

A Novel Plasma Biomarker hsa_circ_0080018 Drives DLBCL Progression via M2 Polarization of Tumor-Associated Macrophages.

Yanfeng Liu, Yanan Gao, Chuanli Zhao

Abstract read
In one paragraph

Article in Cancer science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yanfeng LiuDepartment of Hematology, Shandong Key Laboratory of Hematological Diseases and Immune Microenvironment, Qilu Hospital of Shandong University, Jinan, Shandong, China.ORCID https://orcid.org/0000-0002-2363-5485
Yanan GaoDepartment of Pathology, Key Laboratory of Cancer Prevention and Therapy Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China.
Chuanli ZhaoDepartment of Hematology, Shandong Key Laboratory of Hematological Diseases and Immune Microenvironment, Qilu Hospital of Shandong University, Jinan, Shandong, China.

Funding

National Natural Science Foundation of China 81600078Natural Science Foundation of Shandong Province ZR2022MH193
6 · The paper itself

Abstract

Noncoding RNAs, including circular RNAs (circRNAs), have been demonstrated to play vital roles in tumorigenesis. Uncovering the functions of circRNAs in tumorigenesis and their underlying regulatory mechanisms may suggest new approaches to the development of novel diagnostic and therapeutic strategies for human cancer. Here we report the important role of hsa_circ-0080018 in diffuse large B-cell lymphoma (DLBCL) progression and the potential impact of hsa_circ-0080018 in DLBCL tumorigenesis. Hsa_circ-0080018 was evidently upregulated in newly diagnosed DLBCL patient plasma, and as a reference to classify GCB and non-GCB subtypes. The high expression of hsa_circ-0080018 also appeared in plasma exosome and can transport to tumor microenvironment (TME). In addition, we found that at the molecular level hsa_circ-0080018 acted as a decoy for miR-625-5p and regulated tumor associated macrophage (TAM) polarization by suppressing miR-625-5p that led to IGF-1/IGF-1R pathway activation. The activated IGF-1/IGF-1R pressed macrophage polarizing to M2 and ultimately promoted tumor progression. Our results provided a new potential biomarker in DLBCL plasma that is correlated with cell of origin (COO). The mechanism of circ-0080018 in tumor progression was plasma generated circ-0080018 delivered to TME by exosome and pushed macrophage polarization. Our research may provide a new target for the DLBCL treatment and prognosis in future.

Indexed as

diffuse large B‐cell lymphoma (DLBCL)hsa_circ‐0080018plasma exosomepolarizationtumor associated macrophage (TAM)

Identifiers

PMID42867210
PMCPMC13660449

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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.