Evidence map›Paper›PMID 41726891›Full record

ArticlebioRxiv : the preprint server for biology2026

Targeting one-carbon metabolic vulnerabilities of metastasis with therapeutic potential.

Yanlin Yu, Weiping Chen, Glenn Merlino

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yanlin YuLaboratory of Cancer Biology and Genetics, National Institutes of Health, Bethesda, Maryland 20892-4264.
Weiping ChenNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland 20892-4264.
Glenn MerlinoLaboratory of Cancer Biology and Genetics, National Institutes of Health, Bethesda, Maryland 20892-4264.ORCID 0000-0001-8610-0616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence has shown that tumor progression is associated with the acquisition of growing autonomy and the creation of a complex signaling network through various signal pathways. Which particular signaling pathway is involved in the metastasis of a specific cancer is unclear. Here, we applied metastatic functional screening and identified that one-carbon and SSP metabolism pathways, as well as related genes, are associated with tumor metastasis inhibition. We engineered the cancer cells with poorly or highly metastatic potential to confirm the metabolism pathways regulating the ability to colonize different tissue sites. We also asked whether the restriction of the metabolism pathways by known inhibitors. We then identified three new compounds that can inhibit the expression of these genes and block tumor metastasis. Our findings uncovered a mechanism by which tumor cells reprogram their metabolism to promote migration, invasion, and survival at distant sites in tumor metastasis, offering a rational strategy to guide clinical treatment. The identified novel molecular proteins and pathways represent a promising therapeutic target for metastatic disease.

Indexed as

metastasisone-carbon metabolismSSP metabolismtumor metabolism

Identifiers

PMID41726891
PMCPMC12918917

What OpenQuestion holds

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Registered trials

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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.