Evidence map›Paper›PMID 40131933›Full record

ArticleCell reports2025

KRAS G12V mutation-selective requirement for ACSS2 in colorectal adenoma formation.

Konstantin Budagyan, Alexa C Cannon, Adam Chatoff, Dorothy Benton, Alison M Kurimchak, Daniela Araiza-Olivera, Anastasiia Gerasimova, Nathaniel W Snyder, James S Duncan, Cristina Uribe-Alvarez and 1 more

Abstract read
In one paragraph

Article in Cell reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Prognostic Implications of Codon-SpecificJCO precision oncology · 2026
    Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Konstantin BudagyanDepartment of Biochemistry & Molecular Biology, Drexel University College of Medicine, Philadelphia, PA, USA.
Alexa C CannonDepartment of Biochemistry & Molecular Biology, Drexel University College of Medicine, Philadelphia, PA, USA.
Adam ChatoffDepartment of Cancer & Cellular Biology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA.
Dorothy BentonDepartment of Biochemistry & Molecular Biology, Drexel University College of Medicine, Philadelphia, PA, USA.
Alison M KurimchakCancer Signaling & Microenvironment Program, Fox Chase Cancer Center, Philadelphia, PA, USA.
Daniela Araiza-OliveraCancer Signaling & Microenvironment Program, Fox Chase Cancer Center, Philadelphia, PA, USA.
Anastasiia GerasimovaCancer Signaling & Microenvironment Program, Fox Chase Cancer Center, Philadelphia, PA, USA.
Nathaniel W SnyderDepartment of Cancer & Cellular Biology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA; Cancer Signaling & Microenvironment Program, Fox Chase Cancer Center, Philadelphia, PA, USA.
James S DuncanCancer Signaling & Microenvironment Program, Fox Chase Cancer Center, Philadelphia, PA, USA.
Cristina Uribe-AlvarezCancer Signaling & Microenvironment Program, Fox Chase Cancer Center, Philadelphia, PA, USA. Electronic address: cristina.uribe-alvarez@fccc.edu.
Jonathan ChernoffCancer Signaling & Microenvironment Program, Fox Chase Cancer Center, Philadelphia, PA, USA. Electronic address: j_chernoff@fccc.edu.

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Dietmar J Kappes · 1985 to 2026
$138.8M
TRAINING PROGRAM IN CANCER RESEARCHT32CA009035 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI CHERNOFF, JONATHAN · 1985 to 2020
$10.5M
Metabolic and epigenetic reprogramming in cyclin E high ovarian cancerR01CA259111 · NCI · WISTAR INSTITUTE · PI AIRD, KATHERINE MARIE, SNYDER, NATHANIEL W. · 2021 to 2025
$2.9M
Targeting the Rac1 signaling pathway in malignant melanomaR01CA227184 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI CHERNOFF, JONATHAN · 2018 to 2022
$2.5M
Targeting the kinome in K-ras driven colorectal cancersR01CA211670 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI DUNCAN, JAMES STUART · 2017 to 2021
$2.1M
Quantification of compartmentalized metabolism in eukaryotic systemsR01GM132261 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI SNYDER, NATHANIEL W. · 2019 to 2023
$1.8M
NCI NIH HHS P30 CA006927NCI NIH HHS R01 CA211670NCI NIH HHS R01 CA227184NCI NIH HHS R01 CA259111NCI NIH HHS T32 CA009035NIGMS NIH HHS R01 GM132261
6 · The paper itself

Abstract

Oncogenic KRAS mutations are prevalent in colorectal cancer (CRC) and linked to poor prognosis and therapeutic resistance. Emerging evidence suggests that specific KRAS mutations differentially influence treatment responses. In this study, we generate isogenic Apc-null mouse colon epithelial cells with four common KRAS mutations. Transcriptomic and proteomic analyses reveal significant enrichment of cholesterol and lipid metabolism pathways in KRAS G12V cells, driven by increased SREBP1 expression and mTORC1 activation. Furthermore, KRAS G12V cells exhibit elevated ACSS2 expression and greater dependence on ACSS2 for proliferative advantage compared to other mutants. Inhibition of ACSS2 uniquely sensitizes KRAS G12V cells to MEK inhibition, highlighting a distinct therapeutic vulnerability. Finally, ACSS2 plays a critical role in early KRAS G12V adenoma development, unlike in KRAS G12D adenomas. These findings highlight mutation-specific metabolic reprogramming in KRAS-driven CRC and identify ACSS2 as a potential therapeutic target.

Indexed as

AdenomaColorectal NeoplasmsMutationProto-Oncogene Proteins p21(ras)AnimalsCell Line, TumorCell ProliferationHumansMiceHras protein, mouseKRAS protein, humanProto-Oncogene Proteins p21(ras)acetateacetylationacetyl-CoAACSS2adenomacolorectal cancerCP: Cancerdrug resistanceKRASmetabolismsignal transduction

Identifiers

PMID40131933
PMCPMC12091147

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.