Evidence map›Paper›PMID 28837649›Full record

ArticlePloS one2017

Integrative analysis for the discovery of lung cancer serological markers and validation by MRM-MS.

Jihye Shin, Sang-Yun Song, Hee-Sung Ahn, Byung Chull An, Yoo-Duk Choi, Eun Gyeong Yang, Kook-Joo Na, Seung-Taek Lee, Jae-Il Park, Seon-Young Kim and 2 more

Abstract readValidation Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  4. Cancer secretome: finding out hidden messages in extracellular secretions.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
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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

12 authors.

Jihye ShinCenter for Theragnosis, Korea Institute of Science and Technology, Seongbuk-gu, Seoul, Korea.
Sang-Yun SongDepartment of Thoracic and Cardiovascular Surgery, Chonnam National University Hwasun Hospital, Hwasun-gun, Jeollanam-do, Korea.
Hee-Sung AhnCenter for Theragnosis, Korea Institute of Science and Technology, Seongbuk-gu, Seoul, Korea.
Byung Chull AnDepartment of Anatomy, Chonnam National University Medical School, Hwasun-gun, Jeollanam-do, Korea.
Yoo-Duk ChoiDepartment of Pathology, Chonnam National University Hospital, Dong-gu, Gwangju, Korea.
Eun Gyeong YangCenter for Theragnosis, Korea Institute of Science and Technology, Seongbuk-gu, Seoul, Korea.
Kook-Joo NaDepartment of Thoracic and Cardiovascular Surgery, Chonnam National University Hwasun Hospital, Hwasun-gun, Jeollanam-do, Korea.
Seung-Taek LeeDepartment of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seodaemun-gu, Seoul, Korea.
Jae-Il ParkAnimal Facility of Aging Science, Korea Basic Science Institute, Buk-gu, Gwangju, Korea.
Seon-Young KimPersonalized Genomic Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea.
Cheolju LeeCenter for Theragnosis, Korea Institute of Science and Technology, Seongbuk-gu, Seoul, Korea.
Seung-Won LeeDepartment of Anatomy, Chonnam National University Medical School, Hwasun-gun, Jeollanam-do, Korea.ORCID http://orcid.org/0000-0002-4413-740X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small-cell lung cancer (NSCLC) constitutes approximately 80% of all diagnosed lung cancers, and diagnostic markers detectable in the plasma/serum of NSCLC patients are greatly needed. In this study, we established a pipeline for the discovery of markers using 9 transcriptome datasets from publicly available databases and profiling of six lung cancer cell secretomes. Thirty-one out of 312 proteins that overlapped between two-fold differentially expressed genes and identified cell secretome proteins were detected in the pooled plasma of lung cancer patients. To quantify the candidates in the serum of NSCLC patients, multiple-reaction-monitoring mass spectrometry (MRM-MS) was performed for five candidate biomarkers. Finally, two potential biomarkers (BCHE and GPx3; AUC = 0.713 and 0.673, respectively) and one two-marker panel generated by logistic regression (BCHE/GPx3; AUC = 0.773) were identified. A validation test was performed by ELISA to evaluate the reproducibility of GPx3 and BCHE expression in an independent set of samples (BCHE and GPx3; AUC = 0.630 and 0.759, respectively, BCHE/GPx3 panel; AUC = 0.788). Collectively, these results demonstrate the feasibility of using our pipeline for marker discovery and our MRM-MS platform for verifying potential biomarkers of human diseases.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungChromatography, LiquidEnzyme-Linked Immunosorbent AssayGene Expression ProfilingHumansLung NeoplasmsMass SpectrometryBiomarkers, Tumor

Identifiers

PMID28837649
PMCPMC5570484

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.