Evidence map›Paper›PMID 40488065›Full record

ArticleACS omega2025

High-Throughput Peptide Array Clinical Validation for Lung Adenocarcinoma Detection.

Shengli Yang, Peixian Li, Xiaowen Zhang, Zhipeng Liu, Dan Zhou, Yihao Chen, Zhuxing Chen, Yaming Xiong

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Shengli YangPulmonary Nodule Surgical Department, The First People's Hospital of Foshan, Foshan 528000, China.
Peixian LiThe Institution of Translational Medicine, The First People's Hospital of Foshan, Foshan 528000, China.
Xiaowen ZhangPulmonary Nodule Surgical Department, The First People's Hospital of Foshan, Foshan 528000, China.
Zhipeng LiuThe Institution of Translational Medicine, The First People's Hospital of Foshan, Foshan 528000, China.
Dan ZhouThe Institution of Translational Medicine, The First People's Hospital of Foshan, Foshan 528000, China.
Yihao ChenThe Institution of Translational Medicine, The First People's Hospital of Foshan, Foshan 528000, China.
Zhuxing ChenPulmonary Nodule Surgical Department, The First People's Hospital of Foshan, Foshan 528000, China.
Yaming XiongPulmonary Nodule Surgical Department, The First People's Hospital of Foshan, Foshan 528000, China.ORCID https://orcid.org/0000-0002-9994-8023

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins are pivotal in life processes; however, the constraints of current detection technologies limit our comprehensive understanding of their mechanisms. Disease progression, particularly in complex, multifactorial conditions, such as lung cancer, involves the dysregulation of numerous proteins. While protein array technology has been at the forefront in proteomic analysis, its challenges in detection throughput, sensitivity, specificity, and cost-effectiveness have impeded its broader clinical application. The enzymatic cleavage of proteins in the bloodstream into peptides of diverse sizes presents an opportunity for peptide array technology, providing both a theoretical basis and practical utility. We have developed a high-throughput peptide array specifically designed for the diagnosis and treatment of lung adenocarcinoma, encompassing peptides from 5 to 16 amino acids in length. This array provides comprehensive coverage of peptides derived from proteins with high mutation frequencies in lung adenocarcinoma as well as those that are differentially expressed in association with the disease. The array's potential for thorough lung cancer surveillance is demonstrated through the concurrent detection and classification of five distinct sample types: healthy controls, benign nodules, stage I lung adenocarcinoma, and both pre- and postoperative samples.

Identifiers

PMID40488065
PMCPMC12138681

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.