Detection of circulating genetically abnormal cells using 4-color fluorescence in situ hybridization for the early detection of lung cancer

Feng, Mingxiang; Ye, Xin; Ma, Lin; Zhou, Haining; Meng, Hua; Chen, Yanci; Zhu, Ying–Hui; Xiao, Botao; Chen, Baishen; Huang, Chuoji; Zhang, Juncheng; Katz, Ruth L.; Bai, Chunxue

doi:10.21203/rs.3.rs-69939/v1

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…Currently, routine markers for pleural effusion detection include adenosine deaminase, lactate dehydrogenase, glucose, ferritin, carbohydrate antigen 19‐9 (CA‐199), and carbohydrate antigen 125 (CA‐125) 7 ; although, their sensitivity and specificity are low. Thus, the search for reliable biomarkers that can distinguish MPE continues.…”

Section: Introductionmentioning

confidence: 99%

Construction and analysis of expression profile of exosomal lncRNAs in pleural effusion in lung adenocarcinoma

Huang

Zhou

Yang

et al. 2022

Clinical Laboratory Analysis

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Background Lung adenocarcinoma (LUAD) is a highly malignant tumor with a very low five‐year survival rate. In this study, we aimed to identify differentially expressed long‐chain non‐coding RNA (lncRNAs) and mRNAs from benign and malignant pleural effusion exosomes. Methods We used gene microassay and quantitative real‐time reverse transcription polymerase chain reaction (RT‐qPCR) to detect and verify differentially expressed mRNAs and lncRNAs in benign and malignant pleural effusion exosomes. Gene Ontology (GO) functional significance and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway significance enrichment analyses were performed to identify the difference in biological processes and functions between different mRNAs. We selected the lncRNA ZBED5‐AS1 with an upregulated differential fold of 3.003 and conducted a preliminary study on its cellular function. Results Gene microassay results revealed that 177 differentially expressed lncRNAs were upregulated, and 215 were downregulated. The top 10 upregulated were FMN1, AL118505.1, LINC00452, AL109811.2, CATG00000040683.1, AC137932.1, AC008619.1, AL450344.1, AC092718.6, and ZBED5‐AS1. The top 10 downregulated were TEX41, G067726, JAZF1‐AS1, AC027328.1, AL445645.1, AL022345.4, AC008572.1, AC123777.1, AC093714.1, and PHKG1. For the mRNAs, 79 were upregulated, and 123 were notably downregulated. GO analysis revealed that the upregulated differential mRNAs were mainly involved in “cellular response to acidic pH” (biological processes), “endoplasmic reticulum part” (cellular components), and “at DNA binding, cyclase activity” (molecular functions). KEGG pathways were found to be related to V. cholerae infection, Parkinson's disease, and cell adhesion molecules. RT‐qPCR showed that ZBED5‐AS1 was highly expressed in LUAD tissues, cells, and benign and malignant pleural fluid exosomes. Overexpression of ZBED5‐AS1 could significantly promote the proliferation, migration, invasion, and colony formation of LUAD cells, and knockdown had the opposite consequence. Conclusion The pleural effusion exosomes from patients with LUAD include several improperly expressed genes, and lncRNA‐ZBED5‐AS1 is a new biomarker that aids in our understanding of the occurrence and progression of LUAD.

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Section: Introductionmentioning

confidence: 99%

Construction and analysis of expression profile of exosomal lncRNAs in pleural effusion in lung adenocarcinoma

Huang

Zhou

Yang

et al. 2022

Clinical Laboratory Analysis

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“…Previous findings have shown that a method based on the 4-color fluorescence in-situ hybridization (FISH) technique to identify circulating genetically abnormal cells (CACs) can be used to diagnose benign and malignant PNs (22,23). The diagnostic value of this method has been validated in a Chinese population (24), where an AUC of 0.823 was achieved for the diagnosis of PNs. In recent years, various blood markers have been developed for tumor liquid biopsy, and blood-based biomarkers can assist with tumor diagnosis.…”

Section: Original Articlementioning

confidence: 99%

A multidimensional model incorporating radiomics score and liquid biopsy for the prediction of malignant and benign pulmonary nodules

Xu¹,

Zhou²,

Wang³

et al. 2022

Transl Cancer Res TCR

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Background: As the lesions in pulmonary nodules (PNs) are small and the clinical manifestations lack specificity, the etiology of PNs is complex, predisposing them to misdiagnoses missed diagnoses. Thus, the diagnosis and treatment of PNs remains challenging and an important clinical problem. Methods: This study prospectively enrolled 156 patients with computed tomography (CT)-diagnosed PNs who underwent circulating genetically abnormal cell (CAC) testing between January 2020 and December 2021. We collected data on clinical features closely related to the nature of PNs, such as age, smoking history, and type of nodule. All internal regions of interest (ROIs) of PNs in this study were segmented. Radiomic feature extraction was performed on the ROIs, and a radiomics model was constructed using least absolute shrinkage and selection operator (LASSO) regression to obtain a radiomics score (Rad-score). A comprehensive model combining clinical features, Rad-score, and liquid biopsy was constructed using logistic regression analysis. The diagnostic performance of the model was evaluated using receiver operating characteristic (ROC) curves. Results: In this study, 5 radiomics features were screened for model construction. The area under the ROC curve (AUC) of the radiomics model was 0.844 [95% confidence interval (CI): 0.766-0.915] in the training set. The Rad-score, clinical features, and CAC were further combined to construct a multidimensional analysis model. The AUC of the synthesized model was 0.943 (95% CI: 0.881-0.978) in the training set. Conclusions: A multidimensional model is an effective tool for the noninvasive diagnosis of malignant PNs. The validation and combination of multiple diagnostic methods is a productive avenue of research trend for the identification of malignant PNs.

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Detection of circulating genetically abnormal cells using 4-color fluorescence in situ hybridization for the early detection of lung cancer

Cited by 2 publications

References 25 publications

Construction and analysis of expression profile of exosomal lncRNAs in pleural effusion in lung adenocarcinoma

Construction and analysis of expression profile of exosomal lncRNAs in pleural effusion in lung adenocarcinoma

A multidimensional model incorporating radiomics score and liquid biopsy for the prediction of malignant and benign pulmonary nodules

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