Evidence map›Paper›PMID 29656435›Full record

ArticleMolecular oncology2018

A multi-omic study reveals BTG2 as a reliable prognostic marker for early-stage non-small cell lung cancer.

Sipeng Shen, Ruyang Zhang, Yichen Guo, Elizabeth Loehrer, Yongyue Wei, Ying Zhu, Qianyu Yuan, Sebastian Moran, Thomas Fleischer, Maria M Bjaanaes and 8 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Molecular oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

27 citing papers in PubMed, 36 citations in OpenAlex.

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  8. Expression and methylation status ofGastroenterology and hepatology from bed to bench · 2022
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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

18 authors at 5 institutions in 5 countries.

Sipeng ShenDepartment of Biostatistics, School of Public Health, Nanjing Medical University, China.ORCID 0000-0003-0436-4736
Ruyang ZhangDepartment of Biostatistics, School of Public Health, Nanjing Medical University, China.
Yichen GuoDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Elizabeth LoehrerDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Yongyue WeiDepartment of Biostatistics, School of Public Health, Nanjing Medical University, China.
Ying ZhuDepartment of Biostatistics, School of Public Health, Nanjing Medical University, China.
Qianyu YuanDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Sebastian MoranBellvitge Biomedical Research Institute, Institucio Catalana de Recerca i Estudis Avançats, University of Barcelona, Spain.
Thomas FleischerDepartment of Cancer Genetics, Institute of Cancer Research, Oslo University Hospital, Norway.ORCID 0000-0003-0985-8460
Maria M BjaanaesDepartment of Cancer Genetics, Institute of Cancer Research, Oslo University Hospital, Norway.
Anna KarlssonDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Sweden.
Maria PlanckDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Sweden.
Johan StaafDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Sweden.
Åslaug HellandDepartment of Cancer Genetics, Institute of Cancer Research, Oslo University Hospital, Norway.
Manel EstellerBellvitge Biomedical Research Institute, Institucio Catalana de Recerca i Estudis Avançats, University of Barcelona, Spain.
Li SuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Feng ChenDepartment of Biostatistics, School of Public Health, Nanjing Medical University, China.
David C ChristianiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Harvard University · USChina International Science and Technology Cooperation · CNLund University · SEOslo University Hospital · NOInstitució Catalana de Recerca i Estudis Avançats · ES

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
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Molecular and Genetic Analysis of Lung Cancer SurvivalR01CA092824 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 2002 to 2013
$5.9M
NCI NIH HHS R01 CA092824NCI NIH HHS R35 CA197449NCI NIH HHS U01 CA209414
6 · The paper itself

Abstract

B-cell translocation gene 2 (BTG2) is a tumour suppressor protein known to be downregulated in several types of cancer. In this study, we investigated a potential role for BTG2 in early-stage non-small cell lung cancer (NSCLC) survival. We analysed BTG2 methylation data from 1230 early-stage NSCLC patients from five international cohorts, as well as gene expression data from 3038 lung cancer cases from multiple cohorts. Three CpG probes (cg01798157, cg06373167, cg23371584) that detected BTG2 hypermethylation in tumour tissues were associated with lower overall survival. The prognostic model based on methylation could distinguish patient survival in the four cohorts [hazard ratio (HR) range, 1.51-2.21] and the independent validation set (HR = 1.85). In the expression analysis, BTG2 expression was positively correlated with survival in each cohort (HR range, 0.28-0.68), which we confirmed with meta-analysis (HR = 0.61, 95% CI 0.54-0.68). The three CpG probes were all negatively correlated with BTG2 expression. Importantly, an integrative model of BTG2 methylation, expression and clinical information showed better predictive ability in the training set and validation set. In conclusion, the methylation and integrated prognostic signatures based on BTG2 are stable and reliable biomarkers for early-stage NSCLC. They may have new applications for appropriate clinical adjuvant trials and personalized treatments in the future.

Indexed as

GenomicsProteomicsAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungDNA MethylationFemaleGene Expression Regulation, NeoplasticHumansImmediate-Early ProteinsLung NeoplasmsMaleNeoplasm StagingPrognosisSurvival AnalysisTumor Suppressor ProteinsBiomarkers, TumorBTG2 protein, humanImmediate-Early ProteinsTumor Suppressor ProteinsBTG2early-stage non-small cell lung cancermulti-omicprognosis

Identifiers

PMID29656435
PMCPMC5983115
OpenAlexW2800839876

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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.