Evidence map›Paper›PMID 33448640›Full record

ArticleMolecular oncology2020

Epigenetic-smoking interaction reveals histologically heterogeneous effects of TRIM27 DNA methylation on overall survival among early-stage NSCLC patients.

Xinyu Ji, Lijuan Lin, Sipeng Shen, Xuesi Dong, Chao Chen, Yi Li, Ying Zhu, Hui Huang, Jiajin Chen, Xin Chen and 19 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2020. 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
1.1field-weighted citation impact, top 24% 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, 17 citations in OpenAlex.

  1. Article
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  5. Review
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  11. Article
  12. Emerging roles of TRIM27 in cancer and other human diseases.Frontiers in cell and developmental biology · 2022
    Review
  13. Article
  14. Review
  15. 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

29 authors at 7 institutions in 5 countries.

Xinyu JiDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Lijuan LinDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Sipeng ShenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Xuesi DongDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Chao ChenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Yi LiDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
Ying ZhuDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Hui HuangDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Jiajin ChenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Xin ChenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Liangmin WeiDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Jieyu HeDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Weiwei DuanDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Li SuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Yue JiangDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Juanjuan FanDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Jinxing GuanDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Dongfang YouDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Andrea ShaferPulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Maria Moksnes BjaanaesDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Anna KarlssonDivision of Oncology and Pathology, Department of Clinical Sciences Lund and CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden.
Maria PlanckDivision of Oncology and Pathology, Department of Clinical Sciences Lund and CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden.
Johan StaafDivision of Oncology and Pathology, Department of Clinical Sciences Lund and CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden.
Åslaug HellandDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Manel EstellerJosep Carreras Leukaemia Research Institute, Badalona, Barcelona, Spain.ORCID https://orcid.org/0000-0003-4490-6093
Yongyue WeiDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-9378-8794
Ruyang ZhangDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0003-3861-4297
Feng ChenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-2699-7190
David C ChristianiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Nanjing Medical University · CNHarvard University · USLund University · SEOslo University Hospital · NOInstitució Catalana de Recerca i Estudis Avançats · ESJiangsu Cancer Hospital · CNUniversity of Michigan · US

Funding

The Boston Lung Cancer Survival CohortU01CA209414 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI David C Christiani · 2017 to 2026
$12.2M
Molecular and Genetic Analysis of Lung Cancer SurvivalR01CA092824 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 2002 to 2013
$5.9M
Cutting Edge Survival Methods for Epidemiological DataR01AG056764 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI NAN, BIN · 2018 to 2021
$1.3M
NCI NIH HHS R01 CA092824NCI NIH HHS U01 CA209414NIA NIH HHS R01 AG056764
6 · The paper itself

Abstract

Tripartite motif containing 27 (TRIM27) is highly expressed in lung cancer, including non-small-cell lung cancer (NSCLC). Here, we profiled DNA methylation of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) tumours from 613 early-stage NSCLC patients and evaluated associations between CpG methylation of TRIM27 and overall survival. Significant CpG probes were confirmed in 617 samples from The Cancer Genome Atlas. The methylation of the CpG probe cg05293407

Indexed as

Epigenesis, GeneticAgedCarcinoma, Non-Small-Cell LungDNA-Binding ProteinsDNA MethylationGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateLung NeoplasmsMaleNeoplasm StagingNuclear ProteinsSmokingSurvival AnalysisTripartite Motif ProteinsDNA-Binding ProteinsNuclear ProteinsTRIM27 protein, humanTripartite Motif ProteinsDNA methylationinteractionnon‐small‐cell lung canceroverall survivalprognosisTRIM27

Identifiers

PMID33448640
PMCPMC7607178
OpenAlexW3049198046

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.