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Sun W, Zhou C, Peng C, Yang R, Li M, Geng J, Zhou J, Chen L, Li W. Diagnostic value of plasma circular RNA based on droplet digital polymerase chain reaction in lung adenocarcinoma. Lab Med 2024; 55:420-432. [PMID: 38048812 DOI: 10.1093/labmed/lmad101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Plasma circular (circ)RNAs detected by droplet digital polymerase chain reaction (ddPCR) may be ideal markers for liquid biopsy. However, ddPCR detection of circRNAs in plasma for diagnosis of lung adenocarcinoma has been rarely reported. METHODS An RNA sequencing analysis was performed in plasma from patients with early lung adenocarcinoma and healthy individuals. Droplet digital PCR was used to verify the differentially expressed genes. RESULTS The copy numbers of circle RNALZIC (circLZIC)and circle RNACEP350 (circCEP350) in the plasma of lung adenocarcinoma patients were significantly higher than in plasma of healthy people, and the copy numbers in postoperative plasma of the same patients were significantly lower than those in preoperative plasma. CircLZIC and circCEP350 alone and in combination had diagnostic value in lung adenocarcinoma and early lung adenocarcinoma. CircLZIC and circCEP350 had more binding sites with multiple microRNAs. Their target genes were enriched in several signaling pathways. CONCLUSION The copy numbers of circLZIC and circCEP350 were higher in plasma of lung adenocarcinoma patients than in plasma of healthy controls, significantly correlated with tumor size and TNM stage, and closely related to the occurrence and development of tumors. These circRNAs may serve as molecular markers for the diagnosis of lung adenocarcinoma.
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Affiliation(s)
- Wanying Sun
- Department of Respiratory Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Center for Clinical Medicine of Respiratory Disease (Tumor) in Anhui, Bengbu, China
- Provincial Key Laboratory of Respiratory Disease in Anhui, Bengbu, China
| | - Changming Zhou
- Department of Respiratory Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Center for Clinical Medicine of Respiratory Disease (Tumor) in Anhui, Bengbu, China
- Provincial Key Laboratory of Respiratory Disease in Anhui, Bengbu, China
| | - Caiqiu Peng
- Department of Respiratory Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Center for Clinical Medicine of Respiratory Disease (Tumor) in Anhui, Bengbu, China
- Provincial Key Laboratory of Respiratory Disease in Anhui, Bengbu, China
| | - Ran Yang
- Department of Respiratory Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Center for Clinical Medicine of Respiratory Disease (Tumor) in Anhui, Bengbu, China
- Provincial Key Laboratory of Respiratory Disease in Anhui, Bengbu, China
| | - Mengting Li
- Department of Respiratory Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Center for Clinical Medicine of Respiratory Disease (Tumor) in Anhui, Bengbu, China
- Provincial Key Laboratory of Respiratory Disease in Anhui, Bengbu, China
| | - Jian Geng
- Department of Biochemistry and Molecular Biology, Bengbu Medical College, Bengbu, China
| | - Jihong Zhou
- Department of Biochemistry and Molecular Biology, Bengbu Medical College, Bengbu, China
| | - Liang Chen
- School of Life Sciences, University of Science and Technology of China, Hefei, China
| | - Wei Li
- Department of Respiratory Disease, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Center for Clinical Medicine of Respiratory Disease (Tumor) in Anhui, Bengbu, China
- Provincial Key Laboratory of Respiratory Disease in Anhui, Bengbu, China
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Chang L, Li J, Zhang R. Liquid biopsy for early diagnosis of non-small cell lung carcinoma: recent research and detection technologies. Biochim Biophys Acta Rev Cancer 2022; 1877:188729. [DOI: 10.1016/j.bbcan.2022.188729] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 03/14/2022] [Accepted: 04/10/2022] [Indexed: 02/07/2023]
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Shi J, Li F, Yang F, Dong Z, Jiang Y, Nachira D, Chalubinska-Fendler J, Sio TT, Kawaguchi Y, Takizawa H, Song X, Hu Y, Duan L. The combination of computed tomography features and circulating tumor cells increases the surgical prediction of visceral pleural invasion in clinical T1N0M0 lung adenocarcinoma. Transl Lung Cancer Res 2022; 10:4266-4280. [PMID: 35004255 PMCID: PMC8674597 DOI: 10.21037/tlcr-21-896] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 11/24/2021] [Indexed: 12/14/2022]
Abstract
Background Visceral pleural invasion (VPI) is a clinical manifestation associated with a poor prognosis, and diagnosing it preoperatively is highly imperative for successful sublobar resection of these peripheral tumors. We evaluated the roles of computed tomography (CT) features and circulating tumor cells (CTCs) for improving VPI detection in patients with clinical T1N0M0 invasive lung adenocarcinoma. Methods Three hundred and ninety-one patients were reviewed retrospectively in this study, of which 234 presented with a pleural tag or pleural contact on CT images. CTCs positive for the foliate receptors were enriched and analyzed prior to surgery. Logistic regression analyses were performed to assess the association of CT features and CTCs with VPI, and the receiver operating characteristic (ROC) curve was generated to compare the predictive power of these variables. Results Patients mostly underwent either segmentectomies (18.9%) or lobectomies (79.0%). Only 49 of the 234 patients with pleural involvement on CT showed pathologically confirmed VPI. Multivariate logistic regression analysis revealed that CTC level ≥10.42 FU/3 mL was a significant VPI risk factor for invasive adenocarcinoma cases ≤30 mm [adjusted odds ratio (OR) =4.62, 95% confidence interval (CI): 2.05–10.44, P<0.001]. Based on CT features, subgroup analyses showed that the solid portion size was a statistically significant independent predictor of VPI for these peripheral nodules with pleural tag, while the solid portion length of the interface was an independent predictor of pleural contact. The receiver operating curve analyses showed that the combination of CTC and CT features were highly predictive of VPI [area under the curve (AUC) =0.921 for pleural contact and 0.862 for the pleural tag, respectively]. Conclusions CTC, combined with CT features of pleural tag or pleural contact, could significantly improve VPI detection in invasive lung adenocarcinomas at clinical T1N0M0 stage prior to the patient’s surgery.
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Affiliation(s)
- Jinghan Shi
- Department of Endoscopy, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Fei Li
- Department of Radiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Fujun Yang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Zhengwei Dong
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yan Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Dania Nachira
- Department of General Thoracic Surgery, Fondazione Policlinico Universitario "A.Gemelli", IRCCS, Rome, Italy
| | | | - Terence T Sio
- Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA
| | - Yo Kawaguchi
- Division of General Thoracic Surgery, Department of Surgery, Shiga University of Medical Science, Shiga, Japan
| | - Hiromitsu Takizawa
- Department of Thoracic, Endocrine Surgery and Oncology, Tokushima University Graduate School of Biomedical Sciences, Kuramotocho, Tokushima, Japan
| | - Xiao Song
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yang Hu
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Liang Duan
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
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