Evidence map›Paper›PMID 41783896›Full record

ReviewMedical review (2021)2026

Research progress on immune tolerance mechanisms in liver metastatic tumors and the "Liver-metastasis-oriented shared-mechanism therapeutic strategy" approach.

Qing Zhang, Wenjing Wang, Hongli Yu, Fuchuan Wang, Xiong Chen, Zhipeng Liang, Yinying Lu

Abstract readReview
In one paragraph

Review in Medical review (2021), 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
–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

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

7 authors.

Qing ZhangGuizhou Medical University, Guiyang, Guizhou, China.ORCID https://orcid.org/0009-0000-8606-3237
Wenjing WangMedical School of Chinese PLA, Beijing, China.
Hongli YuMedical School of Chinese PLA, Beijing, China.
Fuchuan WangComprehensive Liver Cancer Center, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Xiong ChenGuizhou Medical University, Guiyang, Guizhou, China.
Zhipeng LiangGuizhou Medical University, Guiyang, Guizhou, China.
Yinying LuGuizhou Medical University, Guiyang, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver metastases pose a serious challenge in the field of systemic cancer treatment, as this organ has a particular microenvironment that favours malignant cells disseminating to settle there. We outline major steps of liver immune tolerance in metastasis including pre-metastatic niche formation, immune evasion during circulation, establishment of an intrahepatic immune desert and metabolism, myeloid cell networks and gut microbiome-mediated coordinated tolerance. We then combine new combination and integrative therapies that are intended to break this tolerance; these include immunochemotherapy regimens, synergistic antiangiogenics and immunotherapies, dual immune checkpoint blockade and myeloid-cell reprogramming, combined locoregional and systemic therapies and new microenvironmental targeting. Each strategy is assessed with regard to its potential disruption of hepatic immune quiescence, improved clinical translation and durable antitumour activity. We suggest a proposed solution termed Liver-metastasis-oriented shared-mechanism therapeutic strategy, which may target multiple metastatic bottlenecks due to similarities. This framework provides a basis for personalizing combination therapies and designing future clinical trials for treating liver metastases, with organ-specific considerations and will be the subject of a commentary.

Indexed as

immune toleranceliver-metastasis-oriented shared-mechanism therapeutic strategyliver metastatictumor microenvironment

Identifiers

PMID41783896
PMCPMC12955356

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.