Evidence map›Paper›PMID 40481520›Full record

ArticleJournal of nanobiotechnology2025

Targeting Dicer reprograms tumor-associated macrophages to promote anti-tumoral immunity in colorectal cancer liver metastasis.

Shenglong Xia, Wenwen Chen, Zhengyang Xu, Yuzhen Gao, Jingyu Chen, Ning Ding, Ying Zhang, Tianhua Zhou, Xuefei Zhou, Xiangrui Liu and 1 more

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. [Novel therapeutic strategies for liver metastases driven by the common microenvironment].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
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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

11 authors.

Shenglong Xia *Department of Gastroenterology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China.
Wenwen Chen *Department of Gastroenterology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China.
Zhengyang Xu *Department of Gastroenterology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China.
Yuzhen GaoDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310016, China.
Jingyu ChenDepartment of Gastroenterology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China.
Ning DingDepartment of Gastroenterology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China.
Ying ZhangDepartment of Gastroenterology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China.
Tianhua ZhouDepartment of Gastroenterology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China.
Xuefei ZhouInternational Institutes of Medicine, The Fourth Affiliated Hospital of Zhejiang University School of Medicine, Yiwu, Zhejiang, 322000, China. zhouxf@zju.edu.cn.
Xiangrui LiuDepartment of Gastroenterology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China. xiangrui@zju.edu.cn.
Meng XueDepartment of Gastroenterology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China. xuemeng@zju.edu.cn.

Funding

China Postdoctoral Science Foundation 2023M743028National Natural Science Foundation of China 82403867Natural Science Foundation of Zhejiang Province LMS25H160012Natural Science Foundation of Zhejiang Province LQN25H160028
6 · The paper itself

Abstract

backgroundTumor-associated macrophages (TAMs) contribute significantly to immunosuppression in colorectal cancer liver metastasis (CRLM), leading to high aggressiveness and poor prognosis. However, the key molecules involved in shaping TAMs toward the pro-tumoral phenotype in CRLM remain unclear, limiting the development of macrophage-mediated immunotherapies for CRLM.

resultsIn this study, we showed that DICER1 was highly expressed in TAMs and closely associated with M2 polarization in CRLM. Knockdown of Dicer, encoded by DICER1 in humans (or Dicer1 in mice), skewed macrophages toward an anti-tumoral M1 phenotype, with increased expression of pro-inflammatory cytokines and tumor cell phagocytosis, thereby suppressing tumor growth in mice. An M2 macrophage-targeting nanosystem was developed to deliver Dicer1 siRNA for selectively downregulating Dicer expression in M2 macrophages. In situ manipulation of TAMs with the nanoparticle exerted a significant anti-tumor effect with an improved immune microenvironment in a CRLM mouse model. Macrophage depletion experiments further suggested that this effect was largely dependent on the presence of TAMs. Mechanistically, Dicer inhibition reprogrammed M2-like macrophages through downregulation of miR-148a-3p and miR-1981-5p.

conclusionOur study uncovered the central role of Dicer in the M2 polarization of TAMs, in turn suggesting a promising therapeutic strategy for CRLM.

Indexed as

Colorectal NeoplasmsDEAD-box RNA HelicasesLiver NeoplasmsRibonuclease IIITumor-Associated MacrophagesAnimalsCell Line, TumorFemaleHumansMacrophagesMaleMiceMice, Inbred BALB CMice, Inbred C57BLMicroRNAsNanoparticlesDEAD-box RNA HelicasesDICER1 protein, humanDicer1 protein, mouseMicroRNAsRibonuclease IIIRNA, Small InterferingColorectal cancerDicerLiver metastasisRNA-lipid nanoparticlesTumor-associated macrophages

Identifiers

PMID40481520
PMCPMC12142937

What OpenQuestion 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 OpenQuestion graph.