Evidence map›Paper›PMID 31850197›Full record

ArticleFrontiers in oncology2019

A Diagnostic Panel of DNA Methylation Biomarkers for Lung Adenocarcinoma.

Nan Shen, Jun Du, Hui Zhou, Nan Chen, Yi Pan, Jörg D Hoheisel, Zonghui Jiang, Ling Xiao, Yue Tao, Xi Mo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Biomolecules · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Promoter Methylation of TwoAddiction & health · 2023
    Article
  12. [Peripheral bloodNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 5 institutions in 2 countries.

Nan ShenDepartment of Infectious Diseases, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jun DuDiagnostic Imaging Center, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hui ZhouLymphoma & Hematology Department, Tumor Hospital of Xiangya School of Medicine of Central South University, Changsha, China.
Nan ChenXinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Chongming Branch, Shanghai, China.
Yi PanDivision of Functional Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Jörg D HoheiselDivision of Functional Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Zonghui JiangDepartment of Medical Oncology, The First People's Hospital, Chuzhou, China.
Ling XiaoDepartment of Histology and Embryology of School of Basic Medical Science, Central South University, Changsha, China.
Yue TaoPediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xi MoPediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Children's Medical Center · CNCentral South University · CNShanghai Jiao Tong University · CNGerman Cancer Research Center · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung adenocarcinoma (LUAD) is one of the most common cancers and lethal diseases in the world. Recognition of the undetermined lung nodules at an early stage is useful for a favorable prognosis. However, there is no good method to identify the undetermined lung nodules and predict their clinical outcome. DNA methylation alteration is frequently observed in LUAD and may play important roles in carcinogenesis, diagnosis, and prediction. This study took advantage of publicly available methylation profiling resources and a machine learning method to investigate methylation differences between LUAD and adjacent non-malignant tissue. The prediction panel was first constructed using 338 tissue samples from LUAD patients including 149 non-malignant ones. This model was then validated with data from The Cancer Genome Atlas database and clinic samples. As a result, the methylation status of four CpG loci in homeobox A9 (

Indexed as

biomarkerCCND1DNA methylationHOXA9KRTAP8-1lung adenocarcinomarandom forestTULP2

Identifiers

PMID31850197
PMCPMC6901798
OpenAlexW2983084081

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.