DNA methylation of PTGER4 in peripheral blood plasma helps to distinguish between lung cancer, benign pulmonary nodules and chronic obstructive pulmonary disease patients

Schotten, L; Darwiche, Kaid; Seweryn, Michał; Yıldız, Vedat; Kneuertz, Peter J.; Eberhardt, Wilfried; Eisenmann, Stephan; Welter, Stefan; Sisson, Brianna E.; Pietrzak, Maciej; Wiesweg, Marcel; Ploenes, Till; Hager, Thomas; He, Kai; Freitag, Lutz; Aigner, Clemens; Taube, Christian; Oezkan, Filiz

doi:10.1016/j.ejca.2021.01.032

Cited by 22 publications

(10 citation statements)

References 18 publications

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“…Recent studies have demonstrated that lung cancer and lung nodules can be distinguished early by detecting changes in DNA methylation in the blood. This also provides support for us to establish a risk model based on methylation-driven genes to predict the prognosis of EAC [ 29 ]. Therefore, it is of great significance to establish a risk model for early diagnosis and survival of EAC.…”

Section: Discussionmentioning

confidence: 93%

Identification of Prognostic Risk Model Based on DNA Methylation-Driven Genes in Esophageal Adenocarcinoma

Chen¹,

Wang

Zhou

et al. 2021

BioMed Research International

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Background. DNA methylation is an important part of epigenetic modification, and its abnormality is closely related to esophageal adenocarcinoma (EAC). This study was aimed at using bioinformatics analysis to identify methylation-driven genes (MDGs) in EAC patients and establish a risk model as a biological indicator of EAC prognosis. Method. Downloaded EAC DNA methylation, transcriptome, and related clinical data from TCGA database. MethylMix was used to identify MDGs. R package clusterProfiler and the ConsensusPathDB online database were used to analyze the rich functions and pathways of these MDGs. The prognostic risk model was established by univariate Cox regression, Lasso regression, and multivariate Cox regression analysis. Finally each MDG in the model were carried out through the survival R package. Results. A total of 273 MDGs were identified, which were enriched in transcriptional regulation and embryonic organ morphogenesis. Cox regression analysis established a risk model consisting of GPBAR1, OLFM4, FOXI2, and CASP10. In addition, further survival analysis revealed that OLFM4 and its two related sites were significantly related to the EAC patients’ survival. Conclusion. In summary, this study used bioinformatics methods to identify EAC MDGs and established a reliable risk prognosis model. It provided potential biomarkers for the early treatment and prognosis evaluation of EAC.

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Section: Discussionmentioning

confidence: 93%

Identification of Prognostic Risk Model Based on DNA Methylation-Driven Genes in Esophageal Adenocarcinoma

Chen¹,

Wang

Zhou

et al. 2021

BioMed Research International

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“…There are many studies of DNA methylation analysis in peripheral blood samples for detecting hepatic, colon, lung, breast, stomach, and endometrial tumors [ 23 , 24 , 25 ]. Meanwhile, there is only one study analyzing global DNA methylation in peripheral blood from PTC patients and control individuals, without significant differences detected [ 26 ].…”

Section: Discussionmentioning

confidence: 99%

The Role of TSHR, PTEN and RASSF1A Promoters’ Methylation Status for Non-Invasive Detection of Papillary Thyroid Carcinoma

Klimaite

Kazokaitė

Kondrotienė

et al. 2022

JCM

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Aim: We investigated whether a difference exists between TSHR, PTEN and RASSF1A methylation status in plasma of subjects with papillary thyroid cancer (PTC). Methods: Peripheral blood samples were collected from 68 patients with PTC and 86 healthy controls (HC). Thyroid cancer tissue and corresponding adjacent normal tissue methylation levels were analyzed. DNA methylation level changes in TSHR, PTEN and RASSF1A genes were analyzed by quantitative methylation-sensitive polymerase chain reaction. Results: We observed that the methylation level of TSHR was significantly higher in the thyroid cancer tissue compared to adjacent normal tissue (p = 0.040). TSHR methylation levels in the PTC group plasma samples were significantly higher compared to HC (p = 0.022). After surgery, PTC plasma samples showed lower TSHR and PTEN methylation levels compared to the levels before surgery (p = 0.003, p = 0.031, respectively). The TSHR methylation level was significantly higher in PTC with larger tumor size (>2 cm) (p < 0.001), and lymph node metastases (p = 0.01), lymphovascular invasion (p = 0.02) and multifocality (p = 0.013) 0ROC analysis revealed that the TSHR methylation level provides high accuracy in distinguishing PTC from HC (p = 0.022, AUC of 0.616). Conclusion: TSHR methylation in peripheral blood samples is expected to be a sensitive and specific minimally invasive tool for the diagnosis of PTC, especially in combination with other diagnostic means.

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Section: Discussionmentioning

confidence: 99%

“…Our study indicated that the five tumor markers were not helpful for the young pulmonary nodules in clinical diagnosis. Therefore, other molecular biomarkers should be explored to improve the diagnostic accuracy for young patients, such as DNA methylation,24,25 miRNA, 26 circulating tumor cells, 27 and tumor-associated antigens and autoantibody. Individual TM ROC results for lung cancer Sensitivity (%) 44.65 (39.10-50.30) 40.25 (34.80-45.90) 88.36 (84.30-91.70) 39.94 (34.50-45.60) 87.74 (83.60-91.10) Specificity (%) 47.22 (35.30-59.30) 66.67 (54.60-77.30) 22.22 (13.30-33.60) 79.17 (68.00-87.80) 26.39 (16.70-38.10) PPV (%) 78.90 (74.40-82.80) 84.20 (78.90-88.40) 83.40 (81.50-85.10) 89.40 (84.10-93.10) 84.00 (82.00-85.90) ROC curves for the diagnosis of young patients with pulmonary nodules…”

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confidence: 99%

Diagnostic value of conventional tumor markers in young patients with pulmonary nodules

Xie

2021

Clinical Laboratory Analysis

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Background Lung cancer is one of the most common malignancies, and there is a trend of increasing incidence in young patients. The preoperative diagnosis of pulmonary nodules is mainly based on the combination of imaging and tumor markers. There is no relevant report on the diagnostic value of tumor markers in young pulmonary nodules. Our study was designed to explore the value of five tumor markers in young patients with pulmonary nodules. Methods We reviewed the medical records of 390 young patients (age ≤45 years) with pulmonary nodules treated at two separate centers from January 1, 2015, to January 1, 2021. Malignant pulmonary nodules were confirmed in 318 patients, and the other 72 patients were diagnosed with benign pulmonary nodules. The gold standard for diagnosis of pulmonary nodules was surgical biopsy. The conventional serum biomarkers included cytokeratin 19 (CYFRA21‐1), pro‐gastrin‐releasing‐peptide (ProGRP), carcinoembryonic antigen (CEA), neuron‐specific enolase (NSE), and squamous cell carcinoma‐associated antigen (SCCA). The diagnostic values of five tumor markers were analyzed by receiver operating characteristic (ROC) curves. Results There were no significant differences in the expression of five tumor markers between the groups (p > 0.05). Single tumor marker (CYFRA21‐1, ProGRP, CEA, NSE, and SCCA) showed a limited value in the diagnosis of malignant pulmonary nodules, with the AUC of 0.506, 0.503 0.532, 0.548, and 0.562, respectively. The AUC of the combined examination was only 0.502~0.596, which did not improve the diagnostic value. Conclusions Five conventional tumor markers had a limited diagnostic value in young patients with pulmonary nodules.

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DNA methylation of PTGER4 in peripheral blood plasma helps to distinguish between lung cancer, benign pulmonary nodules and chronic obstructive pulmonary disease patients

Cited by 22 publications

References 18 publications

Identification of Prognostic Risk Model Based on DNA Methylation-Driven Genes in Esophageal Adenocarcinoma

Identification of Prognostic Risk Model Based on DNA Methylation-Driven Genes in Esophageal Adenocarcinoma

The Role of TSHR, PTEN and RASSF1A Promoters’ Methylation Status for Non-Invasive Detection of Papillary Thyroid Carcinoma

Diagnostic value of conventional tumor markers in young patients with pulmonary nodules

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