Academic Journal
Differential early diagnosis of benign versus malignant lung cancer using systematic pathway flux analysis of peripheral blood leukocytes
| Title: | Differential early diagnosis of benign versus malignant lung cancer using systematic pathway flux analysis of peripheral blood leukocytes |
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| Authors: | Jian Li, Xiaoyu Li, Ming Li, Hong Qiu, Christian Saad, Bo Zhao, Fan Li, Xiaowei Wu, Dong Kuang, Fengjuan Tang, Yaobing Chen, Hongge Shu, Jing Zhang, Qiuxia Wang, He Huang, Shankang Qi, Changkun Ye, Amy Bryant, Xianglin Yuan, Christian Kurts, Guangyuan Hu, Weiting Cheng, Qi Mei |
| Source: | Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022) |
| Publisher Information: | Nature Portfolio, 2022. |
| Publication Year: | 2022 |
| Collection: | LCC:Medicine LCC:Science |
| Subject Terms: | Medicine, Science |
| More Details: | Abstract Early diagnosis of lung cancer is critically important to reduce disease severity and improve overall survival. Newer, minimally invasive biopsy procedures often fail to provide adequate specimens for accurate tumor subtyping or staging which is necessary to inform appropriate use of molecular targeted therapies and immune checkpoint inhibitors. Thus newer approaches to diagnosis and staging in early lung cancer are needed. This exploratory pilot study obtained peripheral blood samples from 139 individuals with clinically evident pulmonary nodules (benign and malignant), as well as ten healthy persons. They were divided into three cohorts: original cohort (n = 99), control cohort (n = 10), and validation cohort (n = 40). Average RNAseq sequencing of leukocytes in these samples were conducted. Subsequently, data was integrated into artificial intelligence (AI)-based computational approach with system-wide gene expression technology to develop a rapid, effective, non-invasive immune index for early diagnosis of lung cancer. An immune-related index system, IM-Index, was defined and validated for the diagnostic application. IM-Index was applied to assess the malignancies of pulmonary nodules of 109 participants (original + control cohorts) with high accuracy (AUC: 0.822 [95% CI: 0.75–0.91, p |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-022-08890-x |
| Access URL: | https://doaj.org/article/a3efc8e3513544b98aa4f210f115aad6 |
| Accession Number: | edsdoj.3efc8e3513544b98aa4f210f115aad6 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 20452322 |
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| DOI: | 10.1038/s41598-022-08890-x |
| Published in: | Scientific Reports |
| Language: | English |