Evidence map›Paper›PMID 29525205›Full record

ArticleCell systems2018

The Genomic Landscape and Pharmacogenomic Interactions of Clock Genes in Cancer Chronotherapy.

Youqiong Ye, Yu Xiang, Fatma Muge Ozguc, Yoonjin Kim, Chun-Jie Liu, Peter K Park, Qingsong Hu, Lixia Diao, Yanyan Lou, Chunru Lin and 8 more

Open access · greenAbstract read
In one paragraph

Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed, 2 pooled it
9.6field-weighted citation impact, top 1% 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

171 citing papers in PubMed, 2 syntheses or guidelines pooled it, 340 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Tumor FAK supports fibrillar collagen expression in ovarian cancer ascites.Matrix biology : journal of the International Society for Matrix Biology · 2026
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  12. Targeting Cryptochromes in Chronic Diseases.Cell biology international · 2025
    Review
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  16. Review
  17. Review
  18. Pan-Cancer Computational Analysis of RKIP (International journal of molecular sciences · 2025
    Article
  19. Article
  20. Review

111 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 7 institutions in 2 countries.

Youqiong YeDepartment of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA.
Yu XiangDepartment of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA.
Fatma Muge OzgucDepartment of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA.
Yoonjin KimDepartment of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA.
Chun-Jie LiuDepartment of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA; Department of Bioinformatics and Systems Biology, Hubei Bioinformatics & Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Peter K ParkDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Qingsong HuDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Lixia DiaoDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yanyan LouDivision of Hematology and Oncology, Mayo Clinic, Jacksonville, FL 32224, USA.
Chunru LinDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; The Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center and UTHealth, Houston, TX 77030, USA.
An-Yuan GuoDepartment of Bioinformatics and Systems Biology, Hubei Bioinformatics & Molecular Imaging Key Laboratory, Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, PR China.
Bingying ZhouState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, PR China.
Li WangState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, PR China.
Zheng ChenDepartment of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA.
Joseph S TakahashiHoward Hughes Medical Institute, Department of Neuroscience, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. Electronic address: joseph.takahashi@utsouthwestern.edu.
Gordon B MillsDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; The Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center and UTHealth, Houston, TX 77030, USA. Electronic address: gmills@mdanderson.org.
Seung-Hee YooDepartment of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA. Electronic address: seung-hee.yoo@uth.tmc.edu.
Leng HanDepartment of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA; The Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center and UTHealth, Houston, TX 77030, USA; Center for Precision Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA. Electronic address: leng.han@uth.tmc.edu.
The University of Texas Health Science Center at Houston · USThe University of Texas MD Anderson Cancer Center · USChinese Academy of Medical Sciences & Peking Union Medical College · CNHoward Hughes Medical Institute · USHuazhong University of Science and Technology · CNMayo Clinic in Florida · USThe University of Texas Health Science Center · US

Funding

Regulation and function of the circadian factor Period2R01GM114424 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI YOO, SEUNG-HEE · 2015 to 2019
$1.6M
Significance of Inhibiting Long Non-coding RNAs in Advanced Breast CancerR01CA218025 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIN, CHUNRU · 2017 to 2020
$1.5M
Role of Clock-Modulating Small Molecules Against AgingR01AG045828 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CHEN, ZHENG · 2013 to 2017
$1.4M
Nuclear Architecture, NcRNAs and Epigenetics in Transcriptional Regulation by ERR00DK094981 · NIDDK · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIN, CHUNRU · 2013 to 2015
$747k
Nuclear Architecture, NcRNAs and Epigenetics in Transcriptional Regulation by ERK99DK094981 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LIN, CHUNRU · 2012 to 2012
$90k
Howard Hughes Medical InstituteNCI NIH HHS R01 CA218025NIA NIH HHS R01 AG045828NIDDK NIH HHS K99 DK094981NIDDK NIH HHS R00 DK094981NIGMS NIH HHS R01 GM114424
6 · The paper itself

Abstract

Cancer chronotherapy, treatment at specific times during circadian rhythms, endeavors to optimize anti-tumor effects and to lower toxicity. However, comprehensive characterization of clock genes and their clinical relevance in cancer is lacking. We systematically characterized the alterations of clock genes across 32 cancer types by analyzing data from The Cancer Genome Atlas, Cancer Therapeutics Response Portal, and The Genomics of Drug Sensitivity in Cancer databases. Expression alterations of clock genes are associated with key oncogenic pathways, patient survival, tumor stage, and subtype in multiple cancer types. Correlations between expression of clock genes and of other genes in the genome were altered in cancerous versus normal tissues. We identified interactions between clock genes and clinically actionable genes by analyzing co-expression, protein-protein interaction, and chromatin immunoprecipitation sequencing data and also found that clock gene expression is correlated to anti-cancer drug sensitivity in cancer cell lines. Our study provides a comprehensive analysis of the circadian clock across different cancer types and highlights potential clinical utility of cancer chronotherapy.

Indexed as

ChronotherapyCircadian ClocksCircadian RhythmGenomicsHumansNeoplasmsPharmacogeneticscancerchronotherapycircadian rhythmsclinical actionable genesclock genesdrugpharmacogenomics

Identifiers

PMID29525205
PMCPMC6056007
OpenAlexW2791222736

What OpenQuestion holds

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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.