Evidence map›Paper›PMID 37337120›Full record

SynthesisNature metabolism2023

A multimodal atlas of tumour metabolism reveals the architecture of gene-metabolite covariation.

Elisa Benedetti, Eric Minwei Liu, Cerise Tang, Fengshen Kuo, Mustafa Buyukozkan, Tricia Park, Jinsung Park, Fabian Correa, A Ari Hakimi, Andrew M Intlekofer and 2 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Nature metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 2% of its field
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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Review
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  13. CSIE: cancer subtyping via inference and ensemble.Briefings in bioinformatics · 2026
    Article
  14. Reconstruction of human metabolic models with large language models.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  15. Article
  16. Article
  17. iModMix: integrative module analysis for multi-omics data.Bioinformatics (Oxford, England) · 2026
    Article
  18. Article
  19. Molecular Reactivity in Maternal Pregnancy Blood and Neonatal Dried Blood Spots Is Associated with the Risk of Pediatric Acute Lymphoblastic Leukemia.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    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

12 authors at 2 institutions in 2 countries.

Elisa Benedetti *Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
Eric Minwei Liu *Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Cerise Tang *Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
Fengshen KuoDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0003-1797-2896
Mustafa BuyukozkanDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.ORCID http://orcid.org/0000-0001-5027-5078
Tricia ParkComputational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0003-4471-004X
Jinsung ParkHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Fabian CorreaHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
A Ari HakimiDepartment of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0002-0930-8824
Andrew M IntlekoferHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0001-9046-6549
Jan KrumsiekDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA. jak2043@med.cornell.edu.ORCID http://orcid.org/0000-0003-4734-3791
Ed ReznikDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA. reznike@mskcc.org.ORCID http://orcid.org/0000-0002-6511-5947
Memorial Sloan Kettering Cancer Center · USCornell University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Metabolic control of normal and malignant hematopoiesisR37CA251543 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI INTLEKOFER, ANDREW MICHAEL · 2020 to 2025
$3.4M
Defining the function of Complex I truncating mutations in cancerR37CA276200 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Payam Gammage, Eduard Reznik · 2023 to 2026
$2.5M
Rational design of drug combinations to target chemotherapy resistance in high-grade serous ovarian cancer via metabolomic profiling of patient-derived organoidsR03CA252674 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KRUMSIEK, JAN · 2021 to 2022
$170k
NCI NIH HHS P30 CA008748NCI NIH HHS R03 CA252674NCI NIH HHS R37 CA251543NCI NIH HHS R37 CA276200
6 · The paper itself

Abstract

Tumour metabolism is controlled by coordinated changes in metabolite abundance and gene expression, but simultaneous quantification of metabolites and transcripts in primary tissue is rare. To overcome this limitation and to study gene-metabolite covariation in cancer, we assemble the Cancer Atlas of Metabolic Profiles of metabolomic and transcriptomic data from 988 tumour and control specimens spanning 11 cancer types in published and newly generated datasets. Meta-analysis of the Cancer Atlas of Metabolic Profiles reveals two classes of gene-metabolite covariation that transcend cancer types. The first corresponds to gene-metabolite pairs engaged in direct enzyme-substrate interactions, identifying putative genes controlling metabolite pool sizes. A second class of gene-metabolite covariation represents a small number of hub metabolites, including quinolinate and nicotinamide adenine dinucleotide, which correlate to many genes specifically expressed in immune cell populations. These results provide evidence that gene-metabolite covariation in cellularly heterogeneous tissue arises, in part, from both mechanistic interactions between genes and metabolites, and from remodelling of the bulk metabolome in specific immune microenvironments.

Indexed as

MetabolomicsNeoplasmsGene Expression ProfilingHumansMetabolomeTranscriptomeTumor Microenvironment

Identifiers

PMID37337120
PMCPMC10290959
OpenAlexW4381248780

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.