Evidence map›Paper›PMID 41362692›Full record

ReviewiLIVER2025

Convergent systemic therapy for liver metastases: Bridging primary tumor heterogeneity through shared pathways.

Wenjing Wang, Caiyun Peng, Hongli Yu, Jiamin Cheng, Zhipeng Liang, Yinying Lu, Zhixian Hong

Abstract readReview
In one paragraph

Review in iLIVER, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

1 citing paper in PubMed.

  1. Article
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.

Wenjing WangSenior Department of Hepatology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing 100039, China.
Caiyun PengSenior Department of Hepatology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing 100039, China.
Hongli YuSenior Department of Hepatology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing 100039, China.
Jiamin ChengSenior Department of Hepatology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing 100039, China.
Zhipeng LiangThe Clinical Medical School, Guizhou Medical University, Guiyang 561113, Guizhou, China.
Yinying LuSenior Department of Hepatology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing 100039, China.
Zhixian HongSenior Department of Hepatology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing 100039, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver metastases represent a major clinical challenge in oncology, often indicating advanced disease with complex management requirements. Despite originating from diverse primary tumors such as colorectal, pancreatic, and breast cancers, liver metastases exhibit shared biological behaviors influenced by the unique tumor microenvironment and immunosuppressive conditions of the liver. This review synthesizes advances in systemic, locoregional, and surgical therapies, demonstrating how shared mechanisms enable unified strategies such as pathway-targeted agents and immunotherapy-radiotherapy combinations, even amid primary tumor heterogeneity. Multidisciplinary team collaboration is critical for optimizing individualized treatment plans, balancing locoregional and systemic treatments to convert unresectable cases and improve the survival rate. We propose a paradigm of precision convergence "harmonizing tumor therapies with lineage-specific adjustments" guided by the principle of "commonalities in biology, divergences in context".

Indexed as

Liver metastasesSystemic therapyTreatment strategy

Identifiers

PMID41362692
PMCPMC12681823

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.