Evidence map›Paper›PMID 34911787›Full record

ArticleCancer research2022

Integrated Metabolic Profiling and Transcriptional Analysis Reveals Therapeutic Modalities for Targeting Rapidly Proliferating Breast Cancers.

Chengheng Liao, Cherise Ryan Glodowski, Cheng Fan, Juan Liu, Kevin R Mott, Akash Kaushik, Hieu Vu, Jason W Locasale, Samuel K McBrayer, Ralph J DeBerardinis and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

25 citing papers in PubMed, 32 citations in OpenAlex.

  1. The Next Frontier in Quantitative Co-Clinical Imaging to Advance Functional Precision Oncology.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  17. Patient-Derived Xenografts of Breast Cancer.Advances in experimental medicine and biology · 2025
    Review
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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 4 institutions in 1 country.

Chengheng Liao *Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas.ORCID 0000-0002-9073-3835
Cherise Ryan Glodowski *Department of Pathology and Laboratory Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina.ORCID 0000-0001-5734-5550
Cheng FanLineberger Comprehensive Cancer Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina.
Juan LiuDepartment of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, North Carolina.
Kevin R MottLineberger Comprehensive Cancer Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina.
Akash KaushikChildren's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, Texas.
Hieu VuChildren's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, Texas.
Jason W LocasaleDepartment of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0002-7766-3502
Samuel K McBrayerChildren's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, Texas.
Ralph J DeBerardinisChildren's Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, Texas.
Charles M PerouDepartment of Pathology and Laboratory Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina.ORCID 0000-0001-9827-2247
Qing ZhangDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas.ORCID 0000-0002-6595-8995
The University of Texas Southwestern Medical Center · USUniversity of North Carolina at Chapel Hill · USDuke University · USHoward Hughes Medical Institute · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI DONNA NIEDZWIECKI · 1985 to 2026
$174.8M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY · 1992 to 2026
$59.3M
Therapeutic Targeting of Breast Cancer Tumor Initiating CellsR01CA148761 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PEROU, CHARLES M, ROSEN, JEFFREY MARK · 2010 to 2025
$6.5M
Exploration of ZHX2 as a novel substrate of pVHL and an oncogenic driver of renal cancerR01CA211732 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI ZHANG, QING · 2017 to 2021
$2.1M
BBOX1 is a Novel Oncogenic Driver in Triple Negative Breast CancerR01CA256833 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI ZHANG, QING · 2021 to 2025
$2.0M
Cancer Prevention and Research Institute of Texas RR190058NCI NIH HHS P30 CA014236NCI NIH HHS P50 CA058223NCI NIH HHS R01 CA148761NCI NIH HHS R01 CA211732NCI NIH HHS R01 CA256833NCI NIH HHS RSG-18-059-01-TBE
6 · The paper itself

Abstract

Metabolic dysregulation is a prominent feature in breast cancer, but it remains poorly characterized in patient tumors. In this study, untargeted metabolomics analysis of triple-negative breast cancer (TNBC) and patient with estrogen receptor (ER)-positive breast cancer samples, as well as TNBC patient-derived xenografts (PDX), revealed two major metabolic groups independent of breast cancer histologic subtypes: a "Nucleotide/Carbohydrate-Enriched" group and a "Lipid/Fatty Acid-Enriched" group. Cell lines grown in vivo more faithfully recapitulated the metabolic profiles of patient tumors compared with those grown in vitro. Integrated metabolic and gene expression analyses identified genes that strongly correlate with metabolic dysregulation and predict patient prognosis. As a proof of principle, targeting Nucleotide/Carbohydrate-Enriched TNBC cell lines or PDX xenografts with a pyrimidine biosynthesis inhibitor or a glutaminase inhibitor led to therapeutic efficacy. In multiple in vivo models of TNBC, treatment with the pyrimidine biosynthesis inhibitor conferred better therapeutic outcomes than chemotherapeutic agents. This study provides a metabolic stratification of breast tumor samples that can guide the selection of effective therapeutic strategies targeting breast cancer subsets. In addition, we have developed a public, interactive data visualization portal (http://brcametab.org) based on the data generated from this study to facilitate future research. SIGNIFICANCE: A multiomics strategy that integrates metabolic and gene expression profiling in patient tumor samples and animal models identifies effective pharmacologic approaches to target rapidly proliferating breast tumor subtypes.

Indexed as

AnimalsAntineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsBiphenyl CompoundsCarboplatinCell Line, TumorCell ProliferationGene Expression ProfilingHumansMetabolomicsMiceMice, Inbred BALB CMice, Inbred NODMice, KnockoutMice, SCIDMolecular Targeted TherapyAntineoplastic AgentsBiphenyl CompoundsbrequinarCarboplatinPaclitaxelQuinaldines

Identifiers

PMID34911787
PMCPMC8857046
OpenAlexW4200316232

What OpenQuestion holds

Textmetadata
LicenceTDM
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.