ReviewCancer2025
Liver-directed therapies for colorectal liver metastases.
Review in Cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Thermal ablation versus liver resection for small colorectal liver metastases (≤ 3 cm): a systematic review and meta-analysis of randomized and propensity score-matched studies.Surgical endoscopy · 2026Pooled it
- Recurrence patterns stratify post-progression survival after early recurrence of colorectal liver metastases following hepatectomy: a single-center retrospective study.World journal of surgical oncology · 2026Article
- Colorectal cancer liver metastasis: immunosuppressive microenvironment, signaling pathways, and emerging therapeutic strategies.Frontiers in immunology · 2026Review
- Colorectal cancer liver metastases: mechanism and therapy.Frontiers in immunology · 2026Review
- Liver microenvironment-driven immunosuppressive niche in colorectal cancer liver metastasis and its therapeutic remodeling.Frontiers in immunology · 2026Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer is the third most common cancer diagnosed in the United States, with an anticipated 53,000 deaths from this disease in 2025. Greater than one in five patients will present with synchronous colorectal liver metastases (CRLMs), and 25%-30% will develop CRLMs during the course of the disease. In addition, the rate of liver-specific recurrence is high, with recurrences in 50%-75% of patients who previously underwent resection for liver metastasis. Surgical resection remains the cornerstone of treatment for resectable CRLM, but a significant proportion of CRLMs are unresectable on presentation. Unique treatment strategies have been developed to expand treatment options and improve outcomes. Today, there are multiple established therapies in routine practice as well as novel therapies that are currently under development with promising results to date. Each therapy has its own goals ranging from reducing the chances of locoregional recurrence, supporting an effort to convert unresectable disease burden into potentially resectable tumors, and salvage options with the goal of extending survival. Because most liver-directed therapies are complementary, it is also important to understand how each option affects other therapies to develop a coordinated treatment strategy. Specifically, it is essential to understand the indications, limitations, and outcomes of each option when making multidisciplinary treatment decisions. In this article, the authors review the current landscape of liver-directed therapies and briefly discuss promising emerging treatment options.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.