Evidence map›Paper›PMID 38750233›Full record

ReviewNature2024

Decoding the interplay between genetic and non-genetic drivers of metastasis.

Panagiotis Karras, James R M Black, Nicholas McGranahan, Jean-Christophe Marine

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Analysis of Migration and Invasion in Ewing Sarcoma.Methods in molecular biology (Clifton, N.J.) · 2027
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  13. Engineered bacteria reprogram tumor microenvironmentActa pharmaceutica Sinica. B · 2026
    Article
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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

4 authors.

Panagiotis KarrasLaboratory for Molecular Cancer Biology, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium.
James R M BlackCancer Genome Evolution Research Group, UCL Cancer Institute, London, UK.ORCID 0000-0001-5598-7752
Nicholas McGranahanCancer Genome Evolution Research Group, UCL Cancer Institute, London, UK.ORCID 0000-0001-9537-4045
Jean-Christophe MarineLaboratory for Molecular Cancer Biology, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium. jeanchristophe.marine@kuleuven.be.ORCID 0000-0003-2433-9837

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis is a multistep process by which cancer cells break away from their original location and spread to distant organs, and is responsible for the vast majority of cancer-related deaths. Preventing early metastatic dissemination would revolutionize the ability to fight cancer. Unfortunately, the relatively poor understanding of the molecular underpinnings of metastasis has hampered the development of effective anti-metastatic drugs. Although it is now accepted that disseminating tumour cells need to acquire multiple competencies to face the many obstacles they encounter before reaching their metastatic site(s), whether these competencies are acquired through an accumulation of metastasis-specific genetic alterations and/or non-genetic events is often debated. Here we review a growing body of literature highlighting the importance of both genetic and non-genetic reprogramming events during the metastatic cascade, and discuss how genetic and non-genetic processes act in concert to confer metastatic competencies. We also describe how recent technological advances, and in particular the advent of single-cell multi-omics and barcoding approaches, will help to better elucidate the cross-talk between genetic and non-genetic mechanisms of metastasis and ultimately inform innovative paths for the early detection and interception of this lethal process.

Indexed as

Neoplasm MetastasisNeoplasmsAnimalsCellular ReprogrammingHumansMolecular TypingMultiomicsSingle-Cell Analysis

Identifiers

What OpenQuestion holds

Textmetadata
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.