scholarly journals Perinatal outcomes following cell-free DNA screening in >32 000 women: Clinical follow-up data from a single tertiary center

2018 ◽  
Vol 38 (10) ◽  
pp. 755-764 ◽  
Author(s):  
Dong Liang ◽  
Ying Lin ◽  
Fengchang Qiao ◽  
Hang Li ◽  
Yan Wang ◽  
...  
Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 728
Author(s):  
Maria Panagopoulou ◽  
Manel Esteller ◽  
Ekaterini Chatzaki

Breast cancer (BC) is a leading cause of death between women. Mortality is significantly raised due to drug resistance and metastasis, while personalized treatment options are obstructed by the limitations of conventional biopsy follow-up. Lately, research is focusing on circulating biomarkers as minimally invasive choices for diagnosis, prognosis and treatment monitoring. Circulating cell-free DNA (ccfDNA) is a promising liquid biopsy biomaterial of great potential as it is thought to mirror the tumor’s lifespan; however, its clinical exploitation is burdened mainly by gaps in knowledge of its biology and specific characteristics. The current review aims to gather latest findings about the nature of ccfDNA and its multiple molecular and biological characteristics in breast cancer, covering basic and translational research and giving insights about its validity in a clinical setting.


Author(s):  
Amber Mathiesen ◽  
Kali Roy

This chapter provides information about a genetic counselor’s role in prenatal screening, including discussing and offering options to a patient, interpreting and providing results, or managing referrals based on abnormal results. It discusses how a screen is evaluated using sensitivity, specificity, positive predictive value, negative predictive value, and personal utility. It provides a detailed description of both maternal serum screening and cell-free DNA testing. The maternal serum screening discussion includes information on multiples of median, calculating risk, timing, pattern association, limitations, and follow-up. The review of cell-free DNA testing includes fetal fraction, methodology, test performance, limitations and considerations for testing, and follow-up. This chapter also provides a list of additional resources to use for cell-free DNA testing.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3423-3423 ◽  
Author(s):  
Lenka Kubiczkova-Besse ◽  
Daniela Drandi ◽  
Lenka Sedlarikova ◽  
Stefania Oliva ◽  
Manuela Gambella ◽  
...  

Abstract Background Circulating nucleic acids, such as cell-free DNA (cf-DNA), are becoming a promising minimally-invasive diagnostic tool for cancer detection. Recent studies demonstrated that tumor-derived cf-DNA can be used to monitor tumor burden and response to treatment in patients (pts) with solid tumors as well as hematological malignancies (Dawson et al, 2013, Armand et al, 2013). In this study we investigated the clinical utility of cf-DNA in the monitoring of minimal residual disease (MRD) of pts with multiple myeloma (MM) carrying the tumor specific immunoglobulin (IGH) rearrangement. Methods Cf-DNA was extracted from 1 ml of serum sample from 13 MM patients enrolled in Italian CRD/MEL-200 and EMN-02 protocols. The total amount of cf-DNA was estimated by fluorometric measurement (median 560 ng, range 15-5158 ng) and the length of fragments was evaluated by high sensitivity dsDNA chips (Agilent). Patient specific clonal IGH rearrangement was identified at the time of diagnosis from bone marrow (BM) genomic DNA (gDNA) as previously reported (Ladetto et al, 2000). For each patient, MRD in BM and peripheral blood (PB) was estimated by real time quantitative PCR (qPCR) using ASO-specific primers and the quantification was based on serial 10-fold dilution standard curves from plasmid carrying the patient specific IGH rearrangement. The amount of IGH rearrangement in cf-DNA (cf-IGH) was estimated by qPCR and droplet digital PCR (ddPCR) (Bio-Rad) on diagnostic and follow up samples and was expressed as the amount of copies per 1 µg of total cf-DNA. qPCR and ddPCR results were interpreted according to the Euro-MRD guidelines (van der Velden et al, 2003). Results Overall, 54 cf-DNA samples from MM serum (13 diagnostic, 41 follow-up samples) were analyzed for the presence of patient specific IGH rearrangement. The most abundant fraction of cf-DNA was 180-220bp, than 350-400bp and 700-10000bp (in 100%, 85% and 68% of samples respectively), whereas longer fragments more often appeared in follow-up samples. By qPCR, cf-IGH at diagnosis were observed in 11/13 diagnostic samples. Only 3/13 pts were quantifiable (116, 85, 187 copies/1 µg of cfDNA) and 8/13 pts were positive but not quantifiable (PNQ) cf-IGH. By ddPCR, levels of cf-IGH at diagnosis were observed in 9/13 pts. 6/13 pts were quantifiable (246, 195, 96, 88, 184, 25 copies/1µg of cfDNA), and only 3/13 pts were PNQ. In follow-up samples, levels of cf-IGH were undetectable by qRT-PCR; however in 5 samples they were PNQ by ddPCR. Interestingly, in one available relapse sample, cf-IGH reappeared again to quantifiable level (61 copies by qRT-PCR and 190 copies by ddPCR). The levels of cf-IGH are quantifiable in samples with higher amount of tumor specific IGH rearrangements in BM or PB; however, no association was observed between cf-IGH level at diagnosis and disease burden estimated by the PCs infiltration in BM or the monoclonal immunoglobulin concentration in blood/urine. Conclusions These data show the potential utility of cf-IGH monitoring in MM pts. Although by qPCR, cf-IGH were detected in 11/13 pts, they were quantifiable only in 3/13 pts and ddPCR was more precise as it was able to quantify cf-IGH in 6/13 pts. Since cf-IGH copies were quantifiable only in diagnostic samples and in 1 available sample at the relapse, we conclude that higher amounts of serum are necessary to overcome the limitation of assay sensitivity. Potential advantages and predictive value, for monitoring tumor marker in a non-invasive manner, need to be further validated on larger cohort of samples using increased amount of cf-DNA. Work was supported by IGA grants NT12130, NT14575. This work is funded by a Black Swan Research Initiative grant by the International Myeloma Foundation "Dynamics of microRNA and cell-free DNA profiles during multiple myeloma progression“. Disclosures Boccadoro: Celgene: Honoraria; Janssen: Honoraria; Onyx: Honoraria. Palumbo:Amgen: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Array BioPharma: Honoraria; Genmab A/S: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Janssen-Cilag: Consultancy, Honoraria; Millennium Pharmaceuticals, Inc.: Consultancy, Honoraria; Onyx Pharmaceuticals: Consultancy, Honoraria; Sanofi Aventis: Honoraria.


2020 ◽  
Vol 231 (4) ◽  
pp. S297-S298
Author(s):  
Joanna Swinarska ◽  
Jeffrey Rogers ◽  
Alan Christopher Farney ◽  
Robert Joseph Stratta ◽  
Colleen L. Jay

2019 ◽  
Vol 40 (6) ◽  
pp. 797-802
Author(s):  
Bahar Konuralp Atakul ◽  
Altug Koc ◽  
Duygu Adiyaman ◽  
Melda Kuyucu ◽  
Alkim Gulsah Sahingoz Yildirim ◽  
...  

2015 ◽  
Vol 17 (10) ◽  
pp. 836-838 ◽  
Author(s):  
Svetlana A. Yatsenko ◽  
David G. Peters ◽  
Devereux N. Saller ◽  
Tianjiao Chu ◽  
Michelle Clemens ◽  
...  
Keyword(s):  

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 5529-5529
Author(s):  
Chris Maher ◽  
Ha X. Dang ◽  
Pradeep S. Chauhan ◽  
Haley Ellis ◽  
Wenjia Feng ◽  
...  

5529 Background: Predicting primary resistance to androgen receptor (AR)-directed therapies is critical for personalizing treatment of metastatic prostate cancer (mPCa). Analyses of liquid biopsies are potential tools but remained underutilized due to limited sensitivity. We developed a cell-free DNA (cfDNA) assay (EnhanceAR-Seq) to monitor genomic alterations in mPCa including AR enhancer duplication, a resistance marker recently discovered in ~81% of mPCa patients. Here we show that applying EnhanceAR-Seq to plasma cfDNA to monitor alterations of AR gene and enhancer ( AR/enhancer) predicted primary resistance with high sensitivity and outperformed the clinically validated CTC AR-V7 assay. Methods: Forty mPCa patients were prospectively enrolled at the Washington University School of Medicine Siteman Cancer Center with plasma cfDNA analyzed by EnhanceAR-Seq. Twenty-five of them also had the Oncotype DX AR-V7 Nucleus Detect CTC assay performed at a similar timepoint at the discretion of the treating oncologist. All patients received AR-directed therapy (eg. abiraterone, enzalutamide) and underwent standard-of-care clinical and laboratory follow-up. Primary resistance was defined as PSA progression, change of treatment or death within 4 months of treatment initiation, or radiographic progression within 6 months. Results: Median clinical follow up after diagnosis was 50 months. EnhanceAR-Seq detected alterations targeting AR/enhancer in 18 patients (45%), TP53 in 8 patients (20%), and PTEN in 6 patients (15%). We found that AR/enhancer alterations (copy gain, tandem duplication, and point mutation) in cfDNA were strongly predictive of primary resistance to AR-directed therapy (PPV = 100%, Sens. = 89%). Our assay outperformed the CTC AR-V7 assay, which was positive in only two patients (PPV = 50%, Sens. = 6%). Furthermore, patients with AR/enhancer alterations had significantly worse progression-free survival (P = 0.0015; HR = 11.5) and overall survival (P = 0.0002; HR = 6.8). Finally, serial cell-free DNA analysis of 10 patients showed that AR/enhancer copy number gain was maintained or acquired in 5 of 6 AR-resistant cases, and neutrality maintained in 4 of 4 AR-sensitive cases. Conclusions: cfDNA-based AR/enhancer locus genomic alterations could potentially be used to predict primary resistance to AR-directed therapy with higher sensitivity than the clinically validated CTC AR-V7 assay, be used for serial timepoint monitoring and guiding personalized clinical decision-making.


2020 ◽  
Vol 8 (1) ◽  
pp. e001078 ◽  
Author(s):  
Xuan Li ◽  
RenZhi Hu ◽  
Ting Luo ◽  
Chuan Peng ◽  
Lilin Gong ◽  
...  

AimsCell-free DNA (cfDNA) is associated with diabetes and cardiovascular diseases. Our study was to evaluate whether serum cfDNA could predict the progression of diabetic kidney disease (DKD).MethodsIn this prospective study, a total of 160 patients with DKD were enrolled, and the kidney function was followed up by measurement of estimated glomerular filtration rate (eGFR) and urinary albumin–creatinine ratio (UACR) for three consecutive years. At baseline, concentrations of serum cfDNA were measured. DKD progression was defined as two-continuous decrease in eGFR and changes of UACR from less than 300 mg/g at baseline to higher than 300 mg/g at last follow-up. Regression models were used to analyze associations of serum cfDNA with the DKD progression.ResultsIn total, 131 patients finished all the follow-up visits. At the end of the study, 64 patients showed decreased eGFR and 29 patients had changes of UACR from less than 300 mg/g at baseline to higher than 300 mg/g at follow-up. At baseline, the progression group had higher serum cfDNA levels than the non-progression group (960.49 (816.53, 1073.65) ng/mL vs 824.51 (701.34, 987.06) ng/mL, p=0.014). Serum cfDNA levels were significantly negatively associated with the 1.5-year eGFR change (r=−0.219 p=0.009) and 3-year eGFR change (r=−0.181, p=0.043). Multivariate logistic analyses showed that after adjustment of age, gender, body mass index, fast plasma glucose, smoking, triglycerides, total cholesterol, duration of diabetes, systolic blood pressure, diabetic retinopathy, eGFR, high sensitivity C-reactive protein, angiotensin receptor blocker/ACE inhibitor usage, with the increase of one SD of serum cfDNA levels, the risk of DKD progression increased by 2.4 times (OR, 2.46; 95% CI 1.84 to 4.89).ConclusionSerum cfDNA is closely associated with DKD, and it might be a predictor of DKD progression in patients with type 2 diabetes.


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