Evidence map›Paper›PMID 30846479›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2019

Multi-omics Integration Analysis Robustly Predicts High-Grade Patient Survival and Identifies CPT1B Effect on Fatty Acid Metabolism in Bladder Cancer.

Venkatrao Vantaku, Jianrong Dong, Chandrashekar R Ambati, Dimuthu Perera, Sri Ramya Donepudi, Chandra Sekhar Amara, Vasanta Putluri, Shiva Shankar Ravi, Matthew J Robertson, Danthasinghe Waduge Badrajee Piyarathna and 15 more

Open access · greenAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 1 pooled it
6.1field-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

83 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.

  1. Unmasking the Metabolite Signature of Bladder Cancer: A Systematic Review.International journal of molecular sciences · 2024
    Pooled it
  2. Article
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  4. IL-18 metabolically reprograms CAR-expressing natural killer T cells and enhances their antitumor activity.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
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23 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

25 authors at 9 institutions in 2 countries.

Venkatrao Vantaku *Department of Molecular and Cell Biology, Baylor College of Medicine, Houston, Texas.
Jianrong Dong *Department of Molecular and Cell Biology, Baylor College of Medicine, Houston, Texas.ORCID 0000-0001-5368-2787
Chandrashekar R Ambati *Dan L. Duncan Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas.
Dimuthu Perera *Dan L. Duncan Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas.
Sri Ramya DonepudiDan L. Duncan Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas.
Chandra Sekhar AmaraDepartment of Molecular and Cell Biology, Baylor College of Medicine, Houston, Texas.
Vasanta PutluriDan L. Duncan Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas.
Shiva Shankar RaviDepartment of Molecular and Cell Biology, Baylor College of Medicine, Houston, Texas.
Matthew J RobertsonDan L. Duncan Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas.
Danthasinghe Waduge Badrajee PiyarathnaDepartment of Molecular and Cell Biology, Baylor College of Medicine, Houston, Texas.
Mariana VillanuevaDan L. Duncan Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas.ORCID 0000-0002-1845-3409
Friedrich-Carl von RundstedtDepartment of Urology, Jena University Hospital, Friedrich-Schiller-University, Jena, Germany.
Balasubramanyam KaranamDepartment of Biology and Center for Cancer Research, Tuskegee University, Tuskegee, Alabama.
Leomar Y BallesterPathology & Laboratory Medicine, Neurosurgery, University of Texas Health Science Center, Houston, Texas.
Martha K TerrisAugusta University, Augusta, Georgia.
Roni J BollagAugusta University, Augusta, Georgia.ORCID 0000-0003-4963-6619
Seth P LernerScott Department of Urology, Baylor College of Medicine, Houston, Texas.
Andrea B ApoloCenter for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Hugo VillanuevaDan L. Duncan Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas.ORCID 0000-0002-1845-3409
MinJae LeeDivision of Clinical and Translational Sciences, Department of Internal Medicine, McGovern Medical School at The University of Texas Health Science Center, Houston, Texas.ORCID 0000-0002-4329-506X
Andrew G SikoraDepartment of Otolaryngology-Head & Neck Surgery, Baylor College of Medicine, Houston, Texas.
Yair LotanDepartment of Urology, University of Texas Southwestern, Dallas, Texas.ORCID 0000-0001-5692-2723
Arun SreekumarDepartment of Molecular and Cell Biology, Baylor College of Medicine, Houston, Texas.
Cristian CoarfaDepartment of Molecular and Cell Biology, Baylor College of Medicine, Houston, Texas.ORCID 0000-0002-4183-4939
Nagireddy PutluriDepartment of Molecular and Cell Biology, Baylor College of Medicine, Houston, Texas. putluri@bcm.edu coarfa@bcm.edu.
Baylor College of Medicine · USChildren's Cancer Center · USAugusta University Health · USFriedrich Schiller University Jena · DENational Cancer Institute · USThe University of Texas Health Science Center · USThe University of Texas Health Science Center at Houston · USThe University of Texas Southwestern Medical Center · USTuskegee University · US

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Michael M Ittmann · 2007 to 2026
$73.9M
Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
Bladder Cancer ProgramZIABC011351 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI APOLO, ANDREA · 2010 to 2025
$9.4M
Identify the DNA Adduct and Associated Metabolic Alterations in Bladder Cancer of SmokersR01CA216426 · NCI · BAYLOR COLLEGE OF MEDICINE · PI EL-ZEIN, RANDA A, PUTLURI, NAGIREDDY · 2018 to 2022
$2.0M
METABOLOMIC PROFILING AND BIOLOGIC BASIS OF RACIAL DISPARITY IN PROSTATE CANCERU01CA167234 · NCI · BAYLOR COLLEGE OF MEDICINE · PI PALAPATTU, GANESH S, SREEKUMAR, ARUN · 2012 to 2016
$1.9M
Racial Disparity in Bladder Cancer and Identification of Altered Metabolism in African American Compare to European Bladder CancerR01CA220297 · NCI · BAYLOR COLLEGE OF MEDICINE · PI PUTLURI, NAGIREDDY · 2017 to 2021
$1.8M
NCATS NIH HHS UL1 TR000371NCI NIH HHS P30 CA125123NCI NIH HHS R01 CA216426NCI NIH HHS R01 CA220297NCI NIH HHS U01 CA167234
6 · The paper itself

Abstract

purposeThe perturbation of metabolic pathways in high-grade bladder cancer has not been investigated. We aimed to identify a metabolic signature in high-grade bladder cancer by integrating unbiased metabolomics, lipidomics, and transcriptomics to predict patient survival and to discover novel therapeutic targets. EXPERIMENTAL

designWe performed high-resolution liquid chromatography mass spectrometry (LC-MS) and bioinformatic analysis to determine the global metabolome and lipidome in high-grade bladder cancer. We further investigated the effects of impaired metabolic pathways using

resultsWe identified 519 differential metabolites and 19 lipids that were differentially expressed between low-grade and high-grade bladder cancer using the NIST MS metabolomics compendium and lipidblast MS/MS libraries, respectively. Pathway analysis revealed a unique set of biochemical pathways that are highly deregulated in high-grade bladder cancer. Integromics analysis identified a molecular gene signature associated with poor patient survival in bladder cancer. Low expression of CPT1B in high-grade tumors was associated with low FAO and low acyl carnitine levels in high-grade bladder cancer, which were confirmed using tissue microarrays. Ectopic expression of the CPT1B in high-grade bladder cancer cells led to reduced EMT in

conclusionsOur study demonstrates a novel approach for the integration of metabolomics, lipidomics, and transcriptomics data, and identifies a common gene signature associated with poor survival in patients with bladder cancer. Our data also suggest that impairment of FAO due to downregulation of CPT1B plays an important role in the progression toward high-grade bladder cancer and provide potential targets for therapeutic intervention.

Indexed as

Biomarkers, TumorCarnitine O-PalmitoyltransferaseFatty AcidsHumansLipidomicsLiver NeoplasmsMetabolomeNeoplasm GradingPredictive Value of TestsSurvival RateTranscriptomeUrinary Bladder NeoplasmsBiomarkers, TumorCarnitine O-PalmitoyltransferaseCPT1B protein, humanFatty Acids

Identifiers

PMID30846479
PMCPMC6571061
OpenAlexW2921865890

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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.