Evidence map›Paper›PMID 36408734›Full record

ArticleMolecular oncology2023

A trans-omics assessment of gene-gene interaction in early-stage NSCLC.

Jiajin Chen, Yunjie Song, Yi Li, Yongyue Wei, Sipeng Shen, Yang Zhao, Dongfang You, Li Su, Maria Moksnes Bjaanaes, Anna Karlsson and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
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.

Jiajin ChenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Yunjie SongDepartment 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.
Yongyue WeiDepartment 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.
Yang ZhaoDepartment 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.
Li SuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Maria Moksnes BjaanaesDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.ORCID 0000-0001-7126-9064
Anna KarlssonDivision of Oncology, Department of Clinical Sciences Lund and CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden.
Maria PlanckDivision of Oncology, Department of Clinical Sciences Lund and CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden.
Johan StaafDivision of Oncology, 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, Barcelona, Spain.ORCID 0000-0003-4490-6093
Hongbing ShenChina International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China.
David C ChristianiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Ruyang ZhangDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID 0000-0003-3861-4297
Feng ChenDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.

Funding

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
NCI NIH HHS R35 CA197449US National Institutes of Health CA092824US National Institutes of Health CA209414US National Institutes of Health CA249096US National Institutes of Health ES000002
6 · The paper itself

Abstract

Epigenome-wide gene-gene (G × G) interactions associated with non-small-cell lung cancer (NSCLC) survival may provide insights into molecular mechanisms and therapeutic targets. Hence, we proposed a three-step analytic strategy to identify significant and robust G × G interactions that are relevant to NSCLC survival. In the first step, among 49 billion pairs of DNA methylation probes, we identified 175 775 G × G interactions with P

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsSmall Cell Lung CarcinomaDNA MethylationEpigenomeHumansG × G interactionsNSCLCoverall survivalprognosistrans-omics

Identifiers

PMID36408734
PMCPMC9812838

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.