scholarly journals The detection of donor-derived cell-free DNA may serve as a biomarker for the early detection of chronic lung allograft dysfunction

EBioMedicine ◽  
2019 ◽  
Vol 40 ◽  
pp. 13-14 ◽  
Author(s):  
Sandhya Bansal ◽  
Timothy Fleming ◽  
Thalachallour Mohanakumar
2021 ◽  
pp. 1-30
Author(s):  
Maryam Alizadeh-Sedigh ◽  
Mohammad Sadegh Fazeli ◽  
Habibollah Mahmoodzadeh ◽  
Shahin Behrouz Sharif ◽  
Ladan Teimoori-Toolabi

BACKGROUND: Investigating aberrant tumor-specific methylation in plasma cell-free DNA provides a promising and noninvasive biomarker for cancer detection. OBJECTIVE: We aimed to investigate methylation status of some promoter regions in the plasma and tumor tissues to find biomarkers for early detection of colorectal cancer. METHODS: This case-control study on seventy colorectal cancer patients and fifty matched healthy controls used Methylation-Specific High-Resolution Melting Curve analysis to evaluate the methylation of the selected promoter regions in converted genomic tissue DNA and plasma cfDNA. RESULTS: The methylation levels in selected regions of SPG20 (+24375 to +24680, +24209 to +24399, and +23625 to +23883), SNCA (+807 to +1013, +7 to +162, and -180 to +7), FBN1 (+223 to +429, +1 to +245, and -18 to -175), ITF2 (+296 to +436 and -180 to +55), SEPT9 (-914412 to -91590 and -99083 to -92264), and MLH1 (-13 to +22) were significantly higher in tumor tissues compared with normal adjacent tissues. The methylation levels of FBN1, ITF2, SNCA, and SPG20 promoters were significantly higher in the patient’s plasma compared to patient’s normal tissue and plasma of healthy control subjects. FBN1, SPG20, and SEPT9 promoter methylation had a good diagnostic performance for discriminating CRC tissues from normal adjacent tissues (AUC > 0.8). A panel of SPG20, FBN1, and SEPT9 methylation had a higher diagnostic value than that of any single biomarker and other panels in tissue-based assay (AUC > 0.9). The methylation of FBN1(a) and SPG20(a) regions, as the closest region to the first coding sequence (CDS), had a good diagnostic performance in plasma cfDNA (AUC > 0.8) while a panel consisted of FBN1(a) and SPG20(a) regions showed excellent diagnostic performance for CRC detection in plasma cfDNA (AUC > 0.9). CONCLUSION: Methylation of FBN1(a) and SPG20(a) promoter regions in the plasma cfDNA can be an excellent simple, non-invasive blood-based test for early detection of CRC.


2021 ◽  
pp. clincanres.1982.2021
Author(s):  
Raju Kandimalla ◽  
Jianfeng Xu ◽  
Alexander Link ◽  
Takatoshi Matsuyama ◽  
Kensuke Yamamura ◽  
...  

2018 ◽  
Author(s):  
Carmen Jeronimo ◽  
Sandra Nunes ◽  
Catarina Moreira-Barbosa ◽  
Sofia Salta ◽  
Susana Palma de Sousa ◽  
...  

2019 ◽  
Vol 37 (18) ◽  
pp. 1547-1557 ◽  
Author(s):  
Emil Christensen ◽  
Karin Birkenkamp-Demtröder ◽  
Himanshu Sethi ◽  
Svetlana Shchegrova ◽  
Raheleh Salari ◽  
...  

PURPOSE Novel sensitive methods for early detection of relapse and for monitoring therapeutic efficacy may have a huge impact on risk stratification, treatment, and ultimately outcome for patients with bladder cancer. We addressed the prognostic and predictive impact of ultra-deep sequencing of cell-free DNA in patients before and after cystectomy and during chemotherapy. PATIENTS AND METHODS We included 68 patients with localized advanced bladder cancer. Patient-specific somatic mutations, identified by whole-exome sequencing, were used to assess circulating tumor DNA (ctDNA) by ultra-deep sequencing (median, 105,000×) of plasma DNA. Plasma samples (n = 656) were procured at diagnosis, during chemotherapy, before cystectomy, and during surveillance. Expression profiling was performed for tumor subtype and immune signature analyses. RESULTS Presence of ctDNA was highly prognostic at diagnosis before chemotherapy (hazard ratio, 29.1; P = .001). After cystectomy, ctDNA analysis correctly identified all patients with metastatic relapse during disease monitoring (100% sensitivity, 98% specificity). A median lead time over radiographic imaging of 96 days was observed. In addition, for high-risk patients (ctDNA positive before or during treatment), the dynamics of ctDNA during chemotherapy was associated with disease recurrence ( P = .023), whereas pathologic downstaging was not. Analysis of tumor-centric biomarkers showed that mutational processes (signature 5) were associated with pathologic downstaging ( P = .024); however, no significant correlation for tumor subtypes, DNA damage response mutations, and other biomarkers was observed. Our results suggest that ctDNA analysis is better associated with treatment efficacy compared with other available methods. CONCLUSION ctDNA assessment for early risk stratification, therapy monitoring, and early relapse detection in bladder cancer is feasible and provides a basis for clinical studies that evaluate early therapeutic interventions.


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