Innovative diagnostic approaches for lung cancer: integrating traditional cytology with qPCR for rapid and reliable results

To address inherent limitations of standard diagnostic procedures for lung cancer, like long turn-around-time and the need for sufficient samples for analysis, we innovatively integrated traditional smear cytology (TSC) with quantitative polymerase chain reaction (qPCR) assays on micro cell samples (MCSs) for the diagnosis of lung cancer. All patients underwent TSC and qPCR assays targeting 11 genes based on different MCSs, including samples obtained by flushing needles used for endobronchial ultrasound biopsies and percutaneous aspiration biopsies of lung in 38 cases (G1) and 108 cases (G2), and lavage fluid samples obtained by bronchoalveolar lavage in 38 cases (G3). With clinical diagnosis and pathological biopsy as diagnostic gold standard, the diagnostic value of these MCSs were explored. In G1, G2 and G3, the diagnostic yield of MCSs-based TSC alone was 78.9%, 93.5% and 76.3%, respectively. Combination of TSC and genetic testing increased the diagnostic yield to 81.6%, 98.1% and 84.2% in G1, G2 and G3, respectively. In addition, the qPCR results of MCSs and paired tissue samples was all matched with a concordance rate of 100%, and the quantity of DNA extracted from our samples was significantly higher than that of tissue samples in G1 and G2. Notably, the TAT of our diagnostic method required only 24 h, which greatly improved the timeliness of diagnosis. Our study demonstrated that MCSs-based TSC combined with genetic testing could not only rapidly and reliably diagnose lung cancer, but also effectively detect gene targets, with potential for widespread application.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-08-08
DOI
https://doi.org/10.1038/s41598-025-13743-4
Primary Topic
Bacteriophages and microbial interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Innovative diagnostic approaches for lung cancer: integrating traditional cytology with qPCR for rapid and reliable results

Kehu Yang, Jun Zhang, Xinxin Wu, Yongjun Guo et al.
Scientific Reports
Bacteriophages and microbial interactions
article

Innovative diagnostic approaches for lung cancer: integrating traditional cytology with qPCR for rapid and reliable results

Kehu Yang, Jun Zhang, Xinxin Wu, Yongjun Guo, Chengzhi Zhao, Yanping Hu, Jiuzhou Zhao, Zhenzhen Liu, Dongxu Chen, Dongqing Wang, Zhizhong Wang, Rui Sun, Jie Ma, Bing Wei, Pengfei Ren, Juan Yu
article en

Abstract

To address inherent limitations of standard diagnostic procedures for lung cancer, like long turn-around-time and the need for sufficient samples for analysis, we innovatively integrated traditional smear cytology (TSC) with quantitative polymerase chain reaction (qPCR) assays on micro cell samples (MCSs) for the diagnosis of lung cancer. All patients underwent TSC and qPCR assays targeting 11 genes based on different MCSs, including samples obtained by flushing needles used for endobronchial ultrasound biopsies and percutaneous aspiration biopsies of lung in 38 cases (G1) and 108 cases (G2), and lavage fluid samples obtained by bronchoalveolar lavage in 38 cases (G3). With clinical diagnosis and pathological biopsy as diagnostic gold standard, the diagnostic value of these MCSs were explored. In G1, G2 and G3, the diagnostic yield of MCSs-based TSC alone was 78.9%, 93.5% and 76.3%, respectively. Combination of TSC and genetic testing increased the diagnostic yield to 81.6%, 98.1% and 84.2% in G1, G2 and G3, respectively. In addition, the qPCR results of MCSs and paired tissue samples was all matched with a concordance rate of 100%, and the quantity of DNA extracted from our samples was significantly higher than that of tissue samples in G1 and G2. Notably, the TAT of our diagnostic method required only 24 h, which greatly improved the timeliness of diagnosis. Our study demonstrated that MCSs-based TSC combined with genetic testing could not only rapidly and reliably diagnose lung cancer, but also effectively detect gene targets, with potential for widespread application.

Scientific ReportsVol. 15(1)
Henan Cancer Hospital (CN)
Good health and well-being
Openalex Percentile: Top 80%
Bacteriophages and microbial interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.