Evidence map›Paper›PMID 31434796›Full record

ArticleAging2019

Trans-omics biomarker model improves prognostic prediction accuracy for early-stage lung adenocarcinoma.

Xuesi Dong, Ruyang Zhang, Jieyu He, Linjing Lai, Raphael N Alolga, Sipeng Shen, Ying Zhu, Dongfang You, Lijuan Lin, Chao Chen and 16 more

Abstract read
In one paragraph

Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

26 authors.

Xuesi DongDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China.
Ruyang ZhangDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Jieyu HeDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Linjing LaiDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Raphael N AlolgaClinical Metabolomics Center, China Pharmaceutical University, Nanjing 211198, China.
Sipeng ShenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Ying ZhuDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Dongfang YouDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Lijuan LinDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Chao ChenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Yang ZhaoDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Weiwei DuanDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Li SuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Andrea ShaferPulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
Moran SalamaBellvitge Biomedical Research Institute and University of Barcelona, Institucio Catalana de Recerca i Estudis Avançats, Barcelona 08908, Catalonia , Spain.
Thomas FleischerDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo 0424, Norway.
Maria Moksnes BjaanæsDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo 0424, Norway.
Anna KarlssonDivision of Oncology and Pathology, Department of Clinical Sciences Lund, CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund 2238, Skåne, Sweden.
Maria PlanckDivision of Oncology and Pathology, Department of Clinical Sciences Lund, CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund 2238, Skåne, Sweden.
Rui WangDepartment of Medical Oncology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing 210002, China.
Johan StaafDivision of Oncology and Pathology, Department of Clinical Sciences Lund, CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund 2238, Skåne, Sweden.
Åslaug HellandDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo 0424, Norway.
Manel EstellerBellvitge Biomedical Research Institute and University of Barcelona, Institucio Catalana de Recerca i Estudis Avançats, Barcelona 08908, Catalonia , Spain.
Yongyue WeiDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Feng ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing 210009, China.
David C ChristianiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
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 CA209414NIEHS NIH HHS P30 ES000002
6 · The paper itself

Abstract

Limited studies have focused on developing prognostic models with trans-omics biomarkers for early-stage lung adenocarcinoma (LUAD). We performed integrative analysis of clinical information, DNA methylation, and gene expression data using 825 early-stage LUAD patients from 5 cohorts. Ranger algorithm was used to screen prognosis-associated biomarkers, which were confirmed with a validation phase. Clinical and biomarker information was fused using an iCluster plus algorithm, which significantly distinguished patients into high- and low-mortality risk groups (

Indexed as

Biomarkers, TumorPrognosisAdenocarcinoma of LungAgedFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMiddle AgedBiomarkers, TumorDNA methylationearly-stagegene expressionlung adenocarcinomaprognostic prediction

Identifiers

PMID31434796
PMCPMC6738411

What OpenQuestion holds

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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.