scholarly journals Early Detection of Metastatic Relapse and Monitoring of Therapeutic Efficacy by Ultra-Deep Sequencing of Plasma Cell-Free DNA in Patients With Urothelial Bladder Carcinoma

2019 ◽  
Vol 37 (18) ◽  
pp. 1547-1557 ◽  
Author(s):  
Emil Christensen ◽  
Karin Birkenkamp-Demtröder ◽  
Himanshu Sethi ◽  
Svetlana Shchegrova ◽  
Raheleh Salari ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Early Detection ◽  
Risk Stratification ◽  
Deep Sequencing ◽  
Therapeutic Efficacy ◽  
Patient Specific ◽  
Cell Free Dna ◽  
Free Dna ◽  
Metastatic Relapse ◽  
Ctdna Analysis

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.

Monitoring of therapeutic efficacy to CDK4/6 inhibitors and early detection of metastatic relapse in breast cancer by ultra-deep sequencing of plasma cell-free DNA.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15544-e15544
Author(s):  
Yoon Ming Chin ◽  
Tomoko Shibayama ◽  
Masumi Otaki ◽  
Hiu Ting Chan ◽  
Makiko Ono ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Disease Progression ◽  
Tumor Markers ◽  
Plasma Cell ◽  
Deep Sequencing ◽  
Liquid Biopsy ◽  
Therapeutic Efficacy ◽  
Cell Free Dna ◽  
Free Dna ◽  
Metastatic Relapse

e15544 Background: CDK4/6 inhibition substantially improves progression-free survival for women with advanced estrogen receptor-positive breast cancer. Despite this, most patients experience acquired resistance. The analyses of cancer specific genomic aberrations in plasma cell free DNA, or commonly referred to as ‘liquid biopsy’, has generated immense interest. The role of liquid biopsy enables monitoring of therapeutic efficacy to detect relapse in a minimally invasive manner. It would drastically impact risk stratification, treatment selection and patient clinical outcome in advanced stage breast cancer. Methods: We have recruited consecutive patients with metastatic breast cancer who received CDK4/6 inhibitor treatment in combination with endocrine therapy between April 2018 and December 2019. Somatic mutations identified by the Oncomine Pan-Cancer cell free assay were used to assess the mutation profiles of circulating tumor DNA (ctDNA) by ultra-deep sequencing (~56,000 depth) of the plasma DNA. Plasma samples (N = 146) were collected before and during treatment (2 years) or until disease progression. Paired white blood cells (WBC) were also sequenced to exclude clonal hematopoiesis-derived mutations. Results: Twenty-eight patients were enrolled. Based on RECIST criteria, 1 patient showed complete response (CR) within 18 months of treatment, 5 patients showed partial response (PR) 6-18 months from start of treatment, 9 patients showed stable disease (SD) condition within 3-18 months and 13 patients developed progressive disease (PD) within 1-12 months. In 22 of 28 patients (79%), ctDNA was detected prior to start of treatment (12 responders; 10 PD) and used as a monitoring marker. Majority of mutations detected in pre-treatment samples were TP53, PIK3CA and ESR1. Among the 12 ctDNA positive responders, ctDNA levels of 9 patients were undetectable within 2 weeks to 6 months from start of treatment (median 3 months). ctDNA profiles were more reflective of clinical response compared to the tumor markers CEA and CA15-3. In 7 of the 10 PD patients with ctDNA monitoring markers, ctDNA showed higher sensitivity to predict disease progression compared to tumor markers that remained stagnant or below normal threshold. ctDNA also predicted PD earlier than radiological images with a median lead time of 3 months. Conclusions: ctDNA assessment for therapy monitoring and early relapse detection in advanced breast cancer is feasible and provides a basis to evaluate early therapeutic interventions.

scholarly journals Inference of tumor cell-specific transcription factor binding from cell-free DNA enables tumor subtype prediction and early detection of cancer

2018 ◽  
Author(s):  
Peter Ulz ◽  
Samantha Perakis ◽  
Qing Zhou ◽  
Tina Moser ◽  
Jelena Belic ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Early Detection ◽  
Transcription Factor Binding ◽  
Patient Specific ◽  
Whole Genome Sequencing Data ◽  
Sequencing Data ◽  
Cell Free Dna ◽  
Specific Transcription Factor ◽  
Factor Binding ◽  
Free Dna

AbstractDeregulation of transcription factors (TFs) is an important driver of tumorigenesis. We developed and validated a minimally invasive method for assessing TF activity based on cell-free DNA sequencing and nucleosome footprint analysis. We analyzed whole genome sequencing data for >1,000 cell-free DNA samples from cancer patients and healthy controls using a newly developed bioinformatics pipeline that infers accessibility of TF binding sites from cell-free DNA fragmentation patterns. We observed patient-specific as well as tumor-specific patterns, including accurate prediction of tumor subtypes in prostate cancer, with important clinical implications for the management of patients. Furthermore, we show that cell-free DNA TF profiling is capable of early detection of colorectal carcinomas. Our approach for mapping tumor-specific transcription factor bindingin vivobased on blood samples makes a key part of the noncoding genome amenable to clinical analysis.

scholarly journals Circulating Cell-Free DNA in Liquid Biopsies as Potential Biomarker for Bladder Cancer: A Review

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1448
Author(s):  
Raquel Herranz ◽  
Julia Oto ◽  
Emma Plana ◽  
Álvaro Fernández-Pardo ◽  
Fernando Cana ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Cancer Progression ◽  
Specific Treatment ◽  
Predictive Biomarkers ◽  
Liquid Biopsies ◽  
Cell Free Dna ◽  
Specific Patient ◽  
Free Dna ◽  
Potential Biomarker ◽  
Cancer Types

Bladder cancer (BC) is among the most frequent cancer types in the world and is the most lethal urological malignancy. Presently, diagnostic and follow-up methods for BC are expensive and invasive. Thus, the identification of novel predictive biomarkers for diagnosis, progression, and prognosis of BC is of paramount importance. To date, several studies have evidenced that cell-free DNA (cfDNA) found in liquid biopsies such as blood and urine may play a role in the particular scenario of urologic tumors, and its analysis may improve BC diagnosis report about cancer progression or even evaluate the effectiveness of a specific treatment or anticipate whether a treatment would be useful for a specific patient depending on the tumor characteristics. In the present review, we have summarized the up-to-date studies evaluating the value of cfDNA as potential diagnostic, prognostic, or monitoring biomarker for BC in several biofluids.

Use of Circulating Cell-Free DNA to Guide Precision Medicine in Patients with Colorectal Cancer

2021 ◽  
Vol 72 (1) ◽  
pp. 399-413
Author(s):  
Van K. Morris ◽  
John H. Strickler
Keyword(s):  
Colorectal Cancer ◽  
Precision Medicine ◽  
Residual Disease ◽  
Cost Effective ◽  
Patient Specific ◽  
Blood Draw ◽  
Cell Free Dna ◽  
Free Dna ◽  
Metastatic Setting ◽  
Diagnostic Technology

Patient-specific biomarkers form the foundation of precision medicine strategies. To realize the promise of precision medicine in patients with colorectal cancer (CRC), access to cost-effective, convenient, and safe assays is critical. Improvements in diagnostic technology have enabled ultrasensitive and specific assays to identify cell-free DNA (cfDNA) from a routine blood draw. Clinicians are already employing these minimally invasive assays to identify drivers of therapeutic resistance and measure genomic heterogeneity, particularly when tumor tissue is difficult to access or serial sampling is necessary. As cfDNA diagnostic technology continues to improve, more innovative applications are anticipated. In this review, we focus on four clinical applications for cfDNA analysis in the management of CRC: detecting minimal residual disease, monitoring treatment response in the metastatic setting, identifying drivers of treatment sensitivity and resistance, and guiding therapeutic strategies to overcome resistance.

Methylation of FBN1, SPG20, ITF2, RUNX3, SNCA, MLH1, and SEPT9 genes in circulating cell-free DNA as biomarkers of colorectal cancer

2021 ◽  
pp. 1-30
Author(s):  
Maryam Alizadeh-Sedigh ◽  
Mohammad Sadegh Fazeli ◽  
Habibollah Mahmoodzadeh ◽  
Shahin Behrouz Sharif ◽  
Ladan Teimoori-Toolabi
Keyword(s):  
Colorectal Cancer ◽  
Early Detection ◽  
Diagnostic Performance ◽  
Methylation Status ◽  
Melting Curve ◽  
Melting Curve Analysis ◽  
Promoter Regions ◽  
Cell Free Dna ◽  
Free Dna ◽  
Tumor Tissues

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.

EpiPanGI Dx: A cell-free DNA methylation fingerprint for the early detection of gastrointestinal cancers

2021 ◽  
pp. clincanres.1982.2021
Author(s):  
Raju Kandimalla ◽  
Jianfeng Xu ◽  
Alexander Link ◽  
Takatoshi Matsuyama ◽  
Kensuke Yamamura ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Early Detection ◽  
Gastrointestinal Cancers ◽  
Cell Free Dna ◽  
Free Dna ◽  
A Cell
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