Evidence map›Paper›PMID 29617665›Full record

ArticleCell reports2018

Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers.

Xinxin Peng, Zhongyuan Chen, Farshad Farshidfar, Xiaoyan Xu, Philip L Lorenzi, Yumeng Wang, Feixiong Cheng, Lin Tan, Kamalika Mojumdar, Di Du and 12 more

Registry-linked trialAbstract read
In one paragraph

Article in Cell reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06642506 (Oncometabolome and MALDI-MSI in Upper GI Carcinomas - Chemosensitivity in Esophageal Carcinoma.), which is not on this map. Cited by 197 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
197citing papers in PubMed, 1 pooled it
–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.

NCT06642506 active not recruitingnot on this mapstarted 2024, after this paper: background citation

Oncometabolome and MALDI-MSI in Upper GI Carcinomas - Chemosensitivity in Esophageal Carcinoma.

TypeobservationalSponsorLudwig-Maximilians - University of MunichRan2024 to 2025Enrolled20ConditionsEsophagus Adenocarcinoma, Esophagus Cancer, Metabolome, Mass Spectrometry
3 · Its place in the literature

Who cites it

197 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Linking tumour angiogenesis and tumour immunity.Nature reviews. Immunology · 2026
    Review
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  14. Multi-omics dissection of RAD21-PON1 axis reveals metabolic-immune crosstalk and prognostic significance in hepatocellular carcinoma.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  15. Review
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137 more citing papers are in PubMed but not listed here.

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

22 authors.

Xinxin PengDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Zhongyuan ChenDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Statistics, Rice University, Houston, TX 77005, USA.
Farshad FarshidfarDepartments of Surgery and Oncology, University of Calgary, Calgary, T2N 4N2 Alberta, Canada; Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, T2N 4N1 Alberta, Canada.
Xiaoyan XuDepartment of Pathophysiology, College of Basic Medicine Science, China Medical University, Shenyang, Liaoning Province 110122, China; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Philip L LorenziDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; The Proteomics and Metabolomics Core Facility, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yumeng WangGraduate Program in in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Feixiong ChengCenter for Cancer Systems Biology and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Center for Complex Networks Research and Department of Physics, Northeastern University, Boston, MA 02115, USA.
Lin TanDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; The Proteomics and Metabolomics Core Facility, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Kamalika MojumdarDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Di DuDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Zhongqi GeDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Jun LiDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
George V ThomasDepartment of Pathology and Laboratory Medicine, Oregon Health & Science University Knight Cancer Institute, Portland, OR 97239, USA.
Kivanc BirsoyLaboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY 10065, USA.
Lingxiang LiuDepartment of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China.
Huiwen ZhangDepartment of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA.
Zhongming ZhaoCenter for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Calena MarchandFaculty of Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.
John N WeinsteinDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Cancer Genome Atlas Research Network
Oliver F BatheDepartments of Surgery and Oncology, University of Calgary, Calgary, T2N 4N2 Alberta, Canada. Electronic address: bathe@ucalgary.ca.
Han LiangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA. Electronic address: hliang1@mdanderson.org.

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
Large Scale Genome SequencingU54HG003079 · NHGRI · WASHINGTON UNIVERSITY · PI DUTCHER, SUSAN K · 2004 to 2016
$445.7M
The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3M
Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Gene Expression Patterns in Human Tumors Identified Using Transcript SequencingU24CA143848 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAYES, DAVID N, PEROU, CHARLES M · 2009 to 2016
$20.8M
Genome Characterization Center (GCC)U24CA143867 · NCI · BROAD INSTITUTE, INC. · PI GABRIEL, STACEY, MEYERSON, MATTHEW L. · 2009 to 2016
$17.0M
The Cancer Genome Atlas Data Analysis CenterU24CA143845 · NCI · BROAD INSTITUTE, INC. · PI CHIN, LYNDA, GETZ, GAD A · 2009 to 2016
$16.0M
Harvard Genome Characterization CenterU24CA144025 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI KUCHERLAPATI, RAJU S. · 2009 to 2016
$14.0M
The USC-JHU Cancer Epigenome Characterization CenterU24CA143882 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BAYLIN, STEPHEN B., WEISENBERGER, DANIEL JOSEPH · 2009 to 2016
$13.3M
MSKCC Center for Translational Cancer Genomic AnalysisU24CA143840 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LADANYI, MARC, SANDER, CHRIS · 2009 to 2016
$11.5M
Cancer transcriptome characterization using massively parallel DNA sequencingU24CA143866 · NCI · BRITISH COLUMBIA CANCER AGENCY · PI MARRA, MARCO ANTONIO · 2009 to 2015
$10.9M
Integrative Pipeline for Analysis & Translational Application of TCGA Data (GDAC)U24CA143883 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2009 to 2016
$10.6M
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA163722NCI NIH HHS R01 CA169172NCI NIH HHS R01 CA175486NCI NIH HHS R21 CA222455NCI NIH HHS R50 CA221675NCI NIH HHS U24 CA143799NCI NIH HHS U24 CA143835NCI NIH HHS U24 CA143840NCI NIH HHS U24 CA143843NCI NIH HHS U24 CA143845NCI NIH HHS U24 CA143848NCI NIH HHS U24 CA143858NCI NIH HHS U24 CA143866NCI NIH HHS U24 CA143867NCI NIH HHS U24 CA143882NCI NIH HHS U24 CA143883NCI NIH HHS U24 CA144025NCI NIH HHS U24 CA209851NCI NIH HHS U24 CA210949NCI NIH HHS U24 CA210950NCI NIH HHS U24 CA210957NCI NIH HHS U24 CA210990NHGRI NIH HHS U54 HG003067NHGRI NIH HHS U54 HG003079NHGRI NIH HHS U54 HG003273
6 · The paper itself

Abstract

Metabolic reprogramming provides critical information for clinical oncology. Using molecular data of 9,125 patient samples from The Cancer Genome Atlas, we identified tumor subtypes in 33 cancer types based on mRNA expression patterns of seven major metabolic processes and assessed their clinical relevance. Our metabolic expression subtypes correlated extensively with clinical outcome: subtypes with upregulated carbohydrate, nucleotide, and vitamin/cofactor metabolism most consistently correlated with worse prognosis, whereas subtypes with upregulated lipid metabolism showed the opposite. Metabolic subtypes correlated with diverse somatic drivers but exhibited effects convergent on cancer hallmark pathways and were modulated by highly recurrent master regulators across cancer types. As a proof-of-concept example, we demonstrated that knockdown of SNAI1 or RUNX1-master regulators of carbohydrate metabolic subtypes-modulates metabolic activity and drug sensitivity. Our study provides a system-level view of metabolic heterogeneity within and across cancer types and identifies pathway cross-talk, suggesting related prognostic, therapeutic, and predictive utility.

Indexed as

Drug Resistance, NeoplasmMetabolic Networks and PathwaysTranscriptomeCell Line, TumorCore Binding Factor Alpha 2 SubunitHEK293 CellsHumansNeoplasmsSnail Family Transcription FactorsCore Binding Factor Alpha 2 SubunitRUNX1 protein, humanSNAI1 protein, humanSnail Family Transcription Factorscarbohydrate metabolismdrug sensitivitymaster regulatorprognostic markerssomatic driversThe Cancer Genome Atlastherapeutic targetstumor subtypes

Identifiers

PMID29617665
PMCPMC5916795

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Registered trials

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.