Evidence map›Paper›PMID 27385985›Full record

ArticleThoracic cancer2016

Evaluation of a novel saliva-based epidermal growth factor receptor mutation detection for lung cancer: A pilot study.

Dan Pu, Hao Liang, Fang Wei, David Akin, Ziding Feng, QingXiang Yan, Yin Li, Yan Zhen, Lin Xu, Gaochao Dong and 13 more

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
8.1field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Network approach in liquidomics landscape.Journal of experimental & clinical cancer research : CR · 2023
    Review
  6. Review
  7. Article
  8. Circulating tumour DNA - looking beyond the blood.Nature reviews. Clinical oncology · 2022
    Review
  9. Article
  10. Saliva Diagnostics.Annual review of analytical chemistry (Palo Alto, Calif.) · 2022
    Review
  11. Review
  12. Review
  13. Review
  14. DNA integrity in diagnosis of premalignant lesions.Medicina oral, patologia oral y cirugia bucal · 2021
    Article
  15. Review
  16. Review
  17. Salivary Biomarkers in Lung Cancer.Mediators of inflammation · 2021
    Review
  18. Article
  19. Longitudinal Monitoring ofFrontiers in oncology · 2020
    Article
  20. 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

23 authors at 7 institutions in 2 countries.

Dan PuLung Cancer Center, West China Hospital Sichuan University Chengdu China.
Hao LiangLung Cancer Center, West China Hospital Sichuan University Chengdu China.
Fang WeiSchool of Dentistry, Department of Pathology University of California Los Angeles California USA.
David AkinSchool of Dentistry, Department of Pathology University of California Los Angeles California USA.
Ziding FengDepartment of Biostatistics, MD Anderson Cancer Center University of Texas Houston Texas USA.
QingXiang YanDepartment of Biostatistics, MD Anderson Cancer Center University of Texas Houston Texas USA.
Yin LiDepartment of Thoracic Surgery, Henan Cancer Hospital University of Zhengzhou Zhengzhou China.
Yan ZhenDepartment of Thoracic Surgery, Henan Cancer Hospital University of Zhengzhou Zhengzhou China.
Lin XuDepartment of Thoracic Surgery, Jiangsu Cancer Hospital Nanjing Medical University Nanjing China.
Gaochao DongDepartment of Thoracic Surgery, Jiangsu Cancer Hospital Nanjing Medical University Nanjing China.
Huajing WanLaboratory of Lung Development and Disease West China Second University Hospital, Sichuan University Chengdu China.
Jingsi DongLung Cancer Center, West China Hospital Sichuan University Chengdu China.
Xiaoming QiuLung Cancer Center, West China Hospital Sichuan University Chengdu China.
Changlong QinLung Cancer Center, West China Hospital Sichuan University Chengdu China.
Daxing ZhuLung Cancer Center, West China Hospital Sichuan University Chengdu China.
Xi WangLung Cancer Center, West China Hospital Sichuan University Chengdu China.
Tong SunLung Cancer Center, West China Hospital Sichuan University Chengdu China.
Wenbiao ZhangLung Cancer Center, West China Hospital Sichuan University Chengdu China.
Canjun LiLung Cancer Center, West China Hospital Sichuan University Chengdu China.
Xiaojun TangLung Cancer Center, West China Hospital Sichuan University Chengdu China.
Youlin QiaoDepartment of Cancer Epidemiology Cancer Hospital/Institute, Chinese Academy of Medical Sciences Beijing China.
David T W WongSchool of Dentistry, Department of Pathology University of California Los Angeles California USA.
Qinghua ZhouLung Cancer Center, West China Hospital Sichuan University Chengdu China.
Sichuan University · CNUniversity of California, Los Angeles · USHenan Cancer Hospital · CNJiangsu Cancer Hospital · CNThe University of Texas MD Anderson Cancer Center · USChinese Academy of Medical Sciences & Peking Union Medical College · CNWest China Second University Hospital of Sichuan University · CN

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundThis article describes a pilot study evaluating a novel liquid biopsy system for non-small cell lung cancer (NSCLC) patients. The electric field-induced release and measurement (EFIRM) method utilizes an electrochemical biosensor for detecting oncogenic mutations in biofluids.

methodsSaliva and plasma of 17 patients were collected from three cancer centers prior to and after surgical resection. The EFIRM method was then applied to the collected samples to assay for exon 19 deletion and p.L858 mutations. EFIRM results were compared with cobas results of exon 19 deletion and p.L858 mutation detection in cancer tissues.

resultsThe EFIRM method was found to detect exon 19 deletion with an area under the curve (AUC) of 1.0 in both saliva and plasma samples in lung cancer patients. For L858R mutation detection, the AUC of saliva was 1.0, while the AUC of plasma was 0.98. Strong correlations were also found between presurgery and post-surgery samples for both saliva (0.86 for exon 19 and 0.98 for L858R) and plasma (0.73 for exon 19 and 0.94 for L858R).

conclusionOur study demonstrates the feasibility of utilizing EFIRM to rapidly, non-invasively, and conveniently detect epidermal growth factor receptor mutations in the saliva of patients with NSCLC, with results corresponding perfectly with the results of cobas tissue genotyping.

Indexed as

EGFR mutationliquid biopsylung cancersaliva diagnostics

Identifiers

PMID27385985
PMCPMC4930962
OpenAlexW2400130066

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.