Evidence map›Paper›PMID 37958384›Full record

ReviewCancers2023

Targeting Liver Metastases to Potentiate Immunotherapy in MS-Stable Colorectal Cancer-A Review of the Literature.

Oran Zlotnik, Lucyna Krzywon, Jessica Bloom, Jennifer Kalil, Ikhtiyar Altubi, Anthoula Lazaris, Peter Metrakos

Abstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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.

Oran ZlotnikCancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC H4A 3J1, Canada.ORCID 0000-0002-9965-9432
Lucyna KrzywonCancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC H4A 3J1, Canada.
Jessica BloomCancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC H4A 3J1, Canada.
Jennifer KalilCancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC H4A 3J1, Canada.
Ikhtiyar AltubiDivision of General Surgery, McGill University, Montreal, QC H4A 3J1, Canada.
Anthoula LazarisCancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC H4A 3J1, Canada.ORCID 0000-0002-2173-7891
Peter MetrakosCancer Research Program, Research Institute of the McGill University Health Centre, Montreal, QC H4A 3J1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunotherapy has revolutionized the treatment of several cancers, including melanoma and lung cancer. However, for colorectal cancer, it is ineffective for 95% of patients with microsatellite-stable disease. Recent evidence suggests that the liver's immune microenvironment plays a pivotal role in limiting the effectiveness of immunotherapy. There is also evidence to show that targeting liver metastases with locoregional therapies, such as surgery or irradiation, could potentiate immunotherapy for these patients. This review presents evidence from preclinical studies regarding the underlying mechanisms and from clinical studies that support this approach. Furthermore, we outline potential directions for future clinical trials. This innovative strategy could potentially establish immunotherapy as an effective treatment for MS-stable colorectal cancer patients, which are currently considered resistant.

Indexed as

CD8 T cellscolorectal cancerimmunotherapyirradiationliver metastasesmacrophagesMS stable

Identifiers

PMID37958384
PMCPMC10649257

What OpenQuestion holds

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LicenceCC BY
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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.