Evidence map›Paper›PMID 30380420›Full record

ArticleCell reports2018

Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer.

Yumeng Wang, Xiaoyan Xu, Dejan Maglic, Michael T Dill, Kamalika Mojumdar, Patrick Kwok-Shing Ng, Kang Jin Jeong, Yiu Huen Tsang, Daniela Moreno, Venkata Hemanjani Bhavana and 13 more

Abstract 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. Cited by 314 papers.

0numbers the graph read from it
0cells of the map it votes in
314citing papers in PubMed
–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.

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

314 citing papers in PubMed.

  1. Trial
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  5. Molecular therapy. Nucleic acids · 2026
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  12. YAP1 Defines an Emergent, Plastic Population of Relapsed SCLC.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
    Article
  13. Review
  14. Review
  15. Homer condensates orchestrate YAP-Wnt signaling crosstalk downstream of the Crumbs polarity complex.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

254 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

23 authors.

Yumeng WangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA.
Xiaoyan XuDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Pathophysiology, College of Basic Medicine Science, China Medical University, Shenyang, Liaoning Province 110122, China.
Dejan MaglicStem Cell Program, Boston Children's Hospital, Boston, MA 02115, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Harvard Stem Cell Institute, Boston, MA 02115, USA.
Michael T DillStem Cell Program, Boston Children's Hospital, Boston, MA 02115, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Harvard Stem Cell Institute, Boston, MA 02115, USA.
Kamalika MojumdarDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Patrick Kwok-Shing NgInstitute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Kang Jin JeongDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yiu Huen TsangDepartment of Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Daniela MorenoDepartment of Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Venkata Hemanjani BhavanaDepartment of Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Xinxin PengDepartment 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.
Hu ChenDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA.
Jun LiDepartment 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.
Huiwen ZhangDepartment of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA.
Leng HanDepartment of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA.
Di DuDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Chad J CreightonDuncan Cancer Center-Biostatistics, Baylor College of Medicine, Houston, TX 77030, USA.
Gordon B MillsDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Cancer Genome Atlas Research Network
Fernando CamargoStem Cell Program, Boston Children's Hospital, Boston, MA 02115, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA; Harvard Stem Cell Institute, Boston, MA 02115, USA. Electronic address: fernando.camargo@childrens.harvard.edu.
Han LiangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: hliang1@mdanderson.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
STRUCTURE-FUNCTION RELATIONSHIPS IN THE ALIMENTARY TRACTP30DK034854 · NIDDK · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WAYNE I LENCER · 1986 to 2026
$32.4M
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
TCPA: an Integrated Bioinformatics Resource for Functional Cancer Proteomic DataU24CA209851 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIANG, HAN, MILLS, GORDON B. · 2016 to 2020
$4.0M
Integrative bioinformatics and functional characterization of oncogenic driver aberrations in cancerU01CA217842 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DENEEN, BENJAMIN, MILLS, GORDON B. · 2017 to 2021
$3.6M
Batch effects in molecular profiling data on cancers: detection, quantitation, interpretation, and correctionU24CA210949 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2016 to 2020
$1.9M
Integrated analysis of protein expression data from the Reverse Phase Protein Array (RPPA) platformU24CA210950 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AKBANI, REHAN, MILLS, GORDON B. · 2016 to 2020
$1.8M
Systematic Functional Characterization of RNA Editing in Endometrial CancerR01CA175486 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIANG, HAN · 2014 to 2018
$1.7M
Functional Proteomics by Reverse Phase Protein Array in CancerR50CA221675 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LU, YILING · 2017 to 2021
$726k
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA175486NCI NIH HHS U01 CA217842NCI NIH HHS U24 CA143883NCI NIH HHS U24 CA209851NCI NIH HHS U24 CA210949NCI NIH HHS U24 CA210950NIDDK NIH HHS P30 DK034854
6 · The paper itself

Abstract

Hippo signaling has been recognized as a key tumor suppressor pathway. Here, we perform a comprehensive molecular characterization of 19 Hippo core genes in 9,125 tumor samples across 33 cancer types using multidimensional "omic" data from The Cancer Genome Atlas. We identify somatic drivers among Hippo genes and the related microRNA (miRNA) regulators, and using functional genomic approaches, we experimentally characterize YAP and TAZ mutation effects and miR-590 and miR-200a regulation for TAZ. Hippo pathway activity is best characterized by a YAP/TAZ transcriptional target signature of 22 genes, which shows robust prognostic power across cancer types. Our elastic-net integrated modeling further reveals cancer-type-specific pathway regulators and associated cancer drivers. Our results highlight the importance of Hippo signaling in squamous cell cancers, characterized by frequent amplification of YAP/TAZ, high expression heterogeneity, and significant prognostic patterns. This study represents a systems-biology approach to characterizing key cancer signaling pathways in the post-genomic era.

Indexed as

Signal TransductionBase SequenceCell Line, TumorGene Expression Regulation, NeoplasticHippo Signaling PathwayHumansMicroRNAsModels, BiologicalMutationNeoplasmsPrognosisProtein Serine-Threonine KinasesMicroRNAsProtein Serine-Threonine Kinasesdriver mutationmiRNA regulationpan-cancer analysispathway activityprognostic powerTAZTCGAtumor subtypeYAP

Identifiers

PMID30380420
PMCPMC6326181

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Read underepoch 390

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.