Evidence map›Paper›PMID 42358838›Full record

ReviewOncology research2026

Preclinical Models of Colorectal Cancer Liver Metastasis: Therapeutic Evaluation and Translational Implications.

Ye Ri Han, Sang Bong Lee

Abstract readReview
In one paragraph

Review in Oncology research, 2026. 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

2 authors.

Ye Ri HanDepartment of Chemistry, Duksung Women's University, Seoul, Republic of Korea.
Sang Bong LeeDepartment of Life Science, Dongguk University, Dongguk-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer liver metastasis (CRLM) remains a leading cause of cancer-related mortality, with clinical outcomes limited by biological heterogeneity and inconsistent therapeutic responses. Despite advances in systemic chemotherapy, targeted agents, immunotherapy, and liver-directed interventions, the translation of preclinical efficacy into clinical benefit remains suboptimal, highlighting the need for predictive experimental models. However, therapeutic efficacy in CRLM is highly model-dependent, and discrepancies between preclinical findings and clinical outcomes often arise from differences in biological fidelity across experimental platforms. This review critically examines preclinical platforms used to study CRLM, with emphasis on orthotopic and metastatic models that recapitulate hepatic colonization, tumor-microenvironment interactions, and immune regulation. We evaluate methodological innovations that enhance anatomical fidelity and reproducibility, including tissue adhesive-based implantation and biomaterial-assisted strategies. Importantly, we analyze how different models influence therapeutic assessment across systemic, immune-based, metabolic, and liver-directed treatments, and discuss their ability to predict clinical responses. By integrating insights from experimental studies with key clinical evidence, we delineate the strengths and limitations of current platforms and propose principles for rational model selection to improve translational success in CRLM research.

Indexed as

Colorectal NeoplasmsLiver NeoplasmsAnimalsDisease Models, AnimalHumansImmunotherapyTranslational Research, BiomedicalTumor MicroenvironmentColorectal cancer liver metastasis (CRLM)immunotherapyliver-directed therapyorthotopic tumor modelstranslational researchtumor microenvironment

Identifiers

PMID42358838
PMCPMC13291988

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.