Evidence map›Paper›PMID 40318161›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Proteomics-Empowered Microfluidic-SERS Immunoassay for Identifying and Detecting Biomarkers of Micropapillary Lung Adenocarcinoma.

Dechun Zhang, Kaiming Peng, Hui Xu, Yanping Chen, Jing Wang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Dechun ZhangKey Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, Fujian, 350117, China.
Kaiming PengDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, China.
Hui XuDepartment of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, China.
Yanping ChenDepartment of Pathology, Clinical Oncology School of Fujian Medical University and Fujian Cancer Hospital, Fuzhou, Fujian, 350014, China.
Jing WangKey Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, Fujian, 350117, China.ORCID https://orcid.org/0000-0001-6080-7998

Funding

Guiding Projects of Fujian Province 2023Y0053Joint Funds for the Innovation of Science and Technology, Fujian Province 2021Y9228National Natural Science Foundation of China 12074069Science Fund Program for Excellent Young Scientists of Fujian 2024J09030
6 · The paper itself

Abstract

The presence of a micropapillary (MPP) component is a crucial determinant of surgical strategies for lung adenocarcinoma (LUAD), yet reliable blood biomarkers for predicting MPP⁺ LUAD remain elusive. Here, we integrate 4D label-free quantitative proteomics, a nanomixing-enhanced microfluidic surface-enhanced Raman spectroscopy (SERS) platform, and machine learning to sensitively identify and validate blood protein biomarkers associated with MPP⁺ LUAD. Comparative proteomics reveal 44 differentially expressed proteins (DEPs) between MPP⁺ and MPP⁻ LUADs, with bioinformatics uncovering their roles in MPP⁺ LUAD formation. To enable sensitive, multiplex detection of 4 upregulated DEPs, the nanomixing effect is leveraged to enhance target protein-SERS barcode interactions while minimizing nonspecific binding to antibody-functionalized gold electrodes. The SERS barcode cocktail allows simultaneous detection of the 4 selected DEPs. Machine learning models based on SERS detection effectively distinguish MPP⁺ from MPP⁻ LUAD patients, as well as LUAD patients from healthy donors. This approach demonstrates strong diagnostic potential for early, non-invasive MPP detection in LUAD, advancing nanotechnology-driven disease diagnosis and monitoring.

Indexed as

AdenocarcinomaBiomarkers, TumorLung NeoplasmsProteomicsSpectrum Analysis, RamanAdenocarcinoma of LungHumansImmunoassayMicrofluidicsBiomarkers, Tumorbiomarker discoverymicropapillary lung adenocarcinomaproteomicssurface‐enhanced raman scattering

Identifiers

PMID40318161
PMCPMC12224922

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.