Evidence map›Paper›PMID 31072371›Full record

ArticleJournal of experimental & clinical cancer research : CR2019

Integrated omics-based pathway analyses uncover CYP epoxygenase-associated networks as theranostic targets for metastatic triple negative breast cancer.

Maria Karmella Apaya, Jeng-Yuan Shiau, Guo-Shiou Liao, Yu-Jen Liang, Chia-Wei Chen, Hsin-Chou Yang, Chi-Hong Chu, Jyh-Cherng Yu, Lie-Fen Shyur

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-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

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Drivers and suppressors of triple-negative breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  10. International journal of molecular sciences · 2020
    Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. CYP2J2Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
    Article
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

9 authors at 5 institutions in 1 country.

Maria Karmella ApayaMolecular and Biological Agricultural Sciences Program, Taiwan International Graduate Program, Academia Sinica, Taipei 115, Taiwan and National Chung Hsing University, Taichung, 402, Taiwan.
Jeng-Yuan ShiauAgricultural Biotechnology Research Center, Academia Sinica, Taipei, 115, Taiwan.
Guo-Shiou LiaoTri-Service General Hospital, National Defense Medical Center, Taipei, 114, Taiwan.
Yu-Jen LiangInstitute of Statistical Science, Academia Sinica, Taipei, 115, Taiwan.
Chia-Wei ChenInstitute of Statistical Science, Academia Sinica, Taipei, 115, Taiwan.
Hsin-Chou YangInstitute of Statistical Science, Academia Sinica, Taipei, 115, Taiwan.
Chi-Hong ChuTri-Service General Hospital, National Defense Medical Center, Taipei, 114, Taiwan.
Jyh-Cherng YuTri-Service General Hospital, National Defense Medical Center, Taipei, 114, Taiwan. doc20106@ndmctsgh.edu.tw.
Lie-Fen ShyurMolecular and Biological Agricultural Sciences Program, Taiwan International Graduate Program, Academia Sinica, Taipei 115, Taiwan and National Chung Hsing University, Taichung, 402, Taiwan. lfshyur@ccvax.sinica.edu.tw.
Institute of Statistical Science, Academia Sinica · TWAgricultural Biotechnology Research Center, Academia Sinica · TWNational Defense Medical Center · TWNational Chung Hsing University · TWTri-Service General Hospital · TW

Funding

Ministry of Science and Technology, Taiwan MOST 105-3111-Y-001-036
6 · The paper itself

Abstract

backgroundCurrent prognostic tools and targeted therapeutic approaches have limited value for metastatic triple negative breast cancer (TNBC). Building upon current knowledge, we hypothesized that epoxyeicosatrienoic acids (EETs) and related CYP450 epoxygenases may have differential roles in breast cancer signaling, and better understanding of which may uncover potential directions for molecular stratification and personalized therapy for TNBC patients.

methodsWe analyzed the oxylipin metabolome of paired tumors and adjacent normal mammary tissues from patients with pathologically confirmed breast cancer (N = 62). We used multivariate statistical analysis to identify important metabolite contributors and to determine the predictive power of tumor tissue metabolite clustering. In vitro functional assays using a panel of breast cancer cell lines were carried out to further confirm the crucial roles of endogenous and exogenous EETs in the metastasis transformation of TNBC cells. Deregulation of associated downstream signaling networks associated with EETs/CYPs was established using transcriptomics datasets from The Cancer Genome Atlas (TCGA) and Molecular Taxonomy of Breast Cancer International Consortium (METABRIC). Comparative TNBC proteomics using the same tissue specimens subjected to oxylipin metabolomics analysis was used as validation set.

resultsMetabolite-by-metabolite comparison, tumor immunoreactivity, and gene expression analyses showed that CYP epoxygenases and arachidonic acid-epoxygenation products, EET metabolites, are strongly associated with TNBC metastasis. Notably, all the 4 EET isomers (5,6-, 8,9-, 11,12-, and 14,15-EET) was observed to profoundly drive the metastasis transformation of mesenchymal-like TNBC cells among the TNBC (basal- and mesenchymal-like), HER2-overexpressing and luminal breast cancer cell lines examined. Our pathway analysis revealed that, in hormone-positive breast cancer subtype, CYP epoxygenase overexpression is more related to immune cell-associated signaling, while EET-mediated Myc, Ras, MAPK, EGFR, HIF-1α, and NOD1/2 signaling are the molecular vulnerabilities of metastatic CYP epoxygenase-overexpressing TNBC tumors.

conclusionsThis study suggests that categorizing breast tumors according to their EET metabolite ratio classifiers and CYP epoxygenase profiles may be useful for prognostic and therapeutic assessment. Modulation of CYP epoxygenase and EET-mediated signaling networks may offer an effective approach for personalized treatment of breast cancer, and may be an effective intervention option for metastatic TNBC patients.

Indexed as

Arachidonic AcidCytochrome P-450 Enzyme SystemEicosapentaenoic AcidFemaleHumansMCF-7 CellsMetabolomeMiddle AgedNeoplasm MetastasisOxylipinsPrognosisSignal TransductionTheranostic NanomedicineTriple Negative Breast NeoplasmsArachidonic AcidCytochrome P-450 Enzyme SystemEicosapentaenoic Acideicosapentaenoic omega 3-epoxygenaseOxylipinsCYP450 epoxygenaseEpoxyeicosatrienoic acidMetastasisOxylipin metabolomeTriple negative breast cancer

Identifiers

PMID31072371
PMCPMC6507159
OpenAlexW2947784184

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.