Evidence map›Paper›PMID 35200387›Full record

ArticleBiosensors2022

Detection and Quantification of Tp53 and p53-Anti-p53 Autoantibody Immune Complex: Promising Biomarkers in Early Stage Lung Cancer Diagnosis.

Keum-Soo Song, Satish Balasaheb Nimse, Shrikant Dashrath Warkad, Jung-Hoon Kim, Hey-Jin Kim, Taisun Kim

Abstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

6 authors.

Keum-Soo SongBiometrix Technology, Inc., 2-2 Bio Venture Plaza 56, Chuncheon 24232, Korea.
Satish Balasaheb NimseInstitute of Applied Chemistry and Department of Chemistry, Hallym University, Chuncheon 200702, Korea.ORCID 0000-0002-5137-0584
Shrikant Dashrath WarkadBiometrix Technology, Inc., 2-2 Bio Venture Plaza 56, Chuncheon 24232, Korea.
Jung-Hoon KimBiometrix Technology, Inc., 2-2 Bio Venture Plaza 56, Chuncheon 24232, Korea.
Hey-Jin KimDepartment of Laboratory Medicine, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences, Seoul 01812, Korea.
Taisun KimInstitute of Applied Chemistry and Department of Chemistry, Hallym University, Chuncheon 200702, Korea.

Funding

Ministry of Trade, Industry and Energy 20003670
6 · The paper itself

Abstract

Lung cancer is a leading cause of death worldwide, claiming nearly 1.80 million lives in 2020. Screening with low-dose computed tomography (LDCT) reduces lung cancer mortality by about 20% compared to standard chest X-rays among current or heavy smokers. However, several reports indicate that LDCT has a high false-positive rate. In this regard, methods based on biomarker detection offer excellent potential for developing noninvasive cancer diagnostic tests to complement LDCT for detecting stage 0∼IV lung cancers. Herein, we have developed a method for detecting and quantifying a p53-anti-p53 autoantibody complex and the total p53 antigen (wild and mutant). The LOD for detecting Tp53 and PIC were 7.41 pg/mL and 5.74 pg/mL, respectively. The detection ranges for both biomarkers were 0-7500 pg/mL. The known interfering agents in immunoassays such as biotin, bilirubin, intra-lipid, and hemoglobin did not detect Tp53 and PIC, even at levels that were several folds higher levels than their normal levels. Furthermore, the present study provides a unique report on this preliminary investigation using the PIC/Tp53 ratio to detect stage I-IV lung cancers. The presented method detects lung cancers with 81.6% sensitivity and 93.3% specificity. These results indicate that the presented method has high applicability for the identification of lung cancer patients from the healthy population.

Indexed as

Lung NeoplasmsTumor Suppressor Protein p53Antigen-Antibody ComplexBiomarkersEarly Detection of CancerHumansAntigen-Antibody ComplexBiomarkersTP53 protein, humanTumor Suppressor Protein p53autoantibodybiomarkersDAGON methodlung cancerNSCLSp53SCLCstage I

Identifiers

PMID35200387
PMCPMC8870326

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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.