Evidence map›Paper›PMID 40766546›Full record

ArticlebioRxiv : the preprint server for biology2025

Alanine catabolism as a targetable vulnerability for MYC-driven liver cancer.

Tonatiuh Montoya, Joyce V Lee, Longhui Qiu, Abigail Krall, Nedas Matulionis, Yurim Seo, Brian N Finck, Robin K Kelley, Heather Christofk, Andrei Goga

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

10 authors.

Tonatiuh MontoyaDepartment of Cell & Tissue Biology, University of California, San Francisco, CA, USA.
Joyce V LeeDepartment of Cell & Tissue Biology, University of California, San Francisco, CA, USA.
Longhui QiuDepartment of Medicine, University of California, San Francisco, CA, USA.
Abigail KrallDepartment of Biological Chemistry, University of California, Los Angeles, CA, USA.
Nedas MatulionisDepartment of Biological Chemistry, University of California, Los Angeles, CA, USA.
Yurim SeoDepartment of Medicine, University of California, San Francisco, CA, USA.
Brian N FinckDepartment of Medicine, Washington University, Saint Louis, MO, USA.
Robin K KelleyUCSF Helen Diller Comprehensive Cancer Center, CA, USA.
Heather ChristofkDepartment of Biological Chemistry, University of California, Los Angeles, CA, USA.ORCID 0000-0002-8662-4425
Andrei GogaDepartment of Cell & Tissue Biology, University of California, San Francisco, CA, USA.ORCID 0000-0001-9127-0986

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
Nutrient Regulation of Cancer Cell GrowthR01CA215185 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Heather Christofk · 2018 to 2026
$4.3M
NCI NIH HHS R01 CA215185NIDDK NIH HHS P30 DK056341
6 · The paper itself

Abstract

Liver cancer is a leading cause of cancer-related death world-wide in part due to the shortage of effective therapies, and MYC overexpression defines an aggressive and especially difficult to treat subset of patients. Given MYC's ability to reprogram cancer cell metabolism, and the liver's role as a coordinator of systemic metabolism, we hypothesized that MYC induces metabolic dependencies that could be targeted to attenuate liver tumor growth. We discovered that MYC-driven liver cancers catabolize alanine in a GPT2-dependent manner to sustain their growth. GPT2 is the predominant alanine-catabolizing enzyme expressed in MYC-driven liver tumors and genetic ablation of GPT2 limited MYC-driven liver tumorigenesis.

Indexed as

alanineliver cancermetabolismMYC

Identifiers

PMID40766546
PMCPMC12324391

What OpenQuestion holds

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LicenceCC BY-NC
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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.