scholarly journals Cell-Free DNA for the Management of Classical Hodgkin Lymphoma

2021 ◽  
Vol 14 (3) ◽  
pp. 207
Author(s):  
Vincent Camus ◽  
Fabrice Jardin

Cell-free DNA (cfDNA) testing, is an emerging “liquid biopsy” tool for noninvasive lymphoma detection, and an increased amount of data are now available to use this technique with accuracy, especially in classical Hodgkin lymphoma (cHL). The advantages of cfDNA include simplicity of repeated blood sample acquisition over time; dynamic, noninvasive, and quantitative analysis; fast turnover time; reasonable cost; and established consistency with results from tumor genomic DNA. cfDNA analysis offers an easy method for genotyping the overall molecular landscape of pediatric and adult cHL and may help in cases of diagnostic difficulties between cHL and other lymphomas. cfDNA levels are correlated with clinical, prognostic, and metabolic features, and may serve as a therapeutic response evaluation tool and as a minimal residual disease (MRD) biomarker in complement to positron emission tomography (PET). Indeed, cfDNA real-time monitoring by fast high-throughput techniques enables the prompt detection of refractory disease or may help to address PET residual hypermetabolic situations during or at the end of treatment. The major recent works presented and described here demonstrated the clinically meaningful applicability of cfDNA testing in diagnostic and theranostic settings, but also in disease risk assessment, therapeutic molecular response, and monitoring of cHL treatments.

2016 ◽  
Vol 7 (4) ◽  
pp. 364-366 ◽  
Author(s):  
Simona Primerano ◽  
Roberta Burnelli ◽  
Elisa Carraro ◽  
Marta Pillon ◽  
Caterina Elia ◽  
...  

2021 ◽  
Vol 5 (7) ◽  
pp. 1991-2002
Author(s):  
Lieselot Buedts ◽  
Iwona Wlodarska ◽  
Julio Finalet-Ferreiro ◽  
Olivier Gheysens ◽  
Luc Dehaspe ◽  
...  

Abstract The low abundance of Hodgkin/Reed-Sternberg (HRS) cells in lymph node biopsies in classical Hodgkin lymphoma (cHL) complicates the analysis of somatic genetic alterations in HRS cells. As circulating cell-free DNA (cfDNA) contains circulating tumor DNA (ctDNA) from HRS cells, we prospectively collected cfDNA from 177 patients with newly diagnosed, mostly early-stage cHL in a monocentric study at Leuven, Belgium (n = 59) and the multicentric BREACH study by Lymphoma Study Association (n = 118). To catalog the patterns and frequencies of genomic copy number aberrations (CNAs), cfDNA was sequenced at low coverage (0.26×), and data were analyzed with ichorCNA to yield read depth-based copy number profiles and estimated clonal fractions in cfDNA. At diagnosis, the cfDNA concentration, estimated clonal fraction, and ctDNA concentration were significantly higher in cHL cases than controls. More than 90% of patients exhibited CNAs in cfDNA. The most frequent gains encompassed 2p16 (69%), 5p14 (50%), 12q13 (50%), 9p24 (50%), 5q (44%), 17q (43%), 2q (41%). Losses mostly affected 13q (57%), 6q25-q27 (55%), 4q35 (50%), 11q23 (44%), 8p21 (43%). In addition, we identified loss of 3p13-p26 and of 12q21-q24 and gain of 15q21-q26 as novel recurrent CNAs in cHL. At diagnosis, ctDNA concentration was associated with advanced disease, male sex, extensive nodal disease, elevated erythrocyte sedimentation rate, metabolic tumor volume, and HRS cell burden. CNAs and ctDNA rapidly diminished upon treatment initiation, and persistence of CNAs was associated with increased probability of relapse. This study endorses the development of ctDNA as gateway to the HRS genome and substrate for early disease response evaluation.


2021 ◽  
Vol 72 (1) ◽  
pp. 399-413
Author(s):  
Van K. Morris ◽  
John H. Strickler

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.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 3043-3043
Author(s):  
Grace Q. Zhao ◽  
Yun Bao ◽  
Heng Wang ◽  
Wanping Hu ◽  
John Coller ◽  
...  

3043 Background: Assessing the genomic and epigenomic changes on plasma cell-free DNA (cfDNA) using next-generation sequencing (NGS) has become increasingly important for cancer detection and treatment selection guidance. However, two major hurdles of existing targeted NGS methods make them impractical for the clinical setting. First, there is no comprehensive, end to end, kit solution available for targeted methylation sequencing (TMS), let alone one that analyzes both mutation and methylation information in one assay. Second, the low yield of cfDNA from clinical blood samples presents a major challenge for conducting multi-omic analysis. Thus, an assay that is capable of both genomic and epigenomic analysis would be advantageous for clinical research and future diagnostic assays. Methods: Here, we report the performance of Point-n-SeqTM dual analysis, a kit solution that can provide in-depth DNA analysis with highly flexible and customizable focused panels to enable both genomic and epigenomic analysis without sample splitting. With custom panels of tens to thousands of markers designed with > 99% first-pass success rate, we conducted both performance validation and multi-center, multi-operator, reproducibility studies. Using spike-in titration of cancer cell-line gDNA with known mutation and methylation profiles, Point-n-Seq assay achieved a reliable detection level down to 0.003% of tumor DNA with a linear relationship between the measured and expected fractions. Benchmarked with conventional targeted sequencing and methylation sequencing, Point-n-Seq solution also demonstrated improved performance, speed and shortened hands-on time. Results: In a pilot clinical study, a colorectal cancer (CRC) TMS panel covering 560 methylation markers and a mutation panel with > 350 hotspot mutations in 22 genes were used in the dual assay. Using 1ml of plasma from late-stage CRC patients, cancer-specific methylation signals were detected in all samples tested, and oncogenic mutations. In an early-stage cohort (33 stage I/II CRC patient ), comparison of the analysis between tumor-informed, personalized-mutation panels (̃100 private SNVs) for each patient and the tumor-independent CRC methylation panels were conducted. The initial results showed that tumor-independent TMS assay achieved a comparable detection compared to the personalized tumor-informed approach. Moreover, cfDNA size information (fragmentome) is also integrated into the analysis of the same Point-n-Seq workflow to improve the assay sensitivity. Conclusions: Point-n-Seq dual analysis is poised to advance both research and clinical applications of early cancer detection, minimal residual disease (MRD), and monitoring.


Blood ◽  
2018 ◽  
Vol 131 (22) ◽  
pp. 2413-2425 ◽  
Author(s):  
Valeria Spina ◽  
Alessio Bruscaggin ◽  
Annarosa Cuccaro ◽  
Maurizio Martini ◽  
Martina Di Trani ◽  
...  

Key Points ctDNA is as an easily accessible source of tumor DNA for cHL genotyping. ctDNA is a radiation-free tool to track residual disease in cHL.


Med ◽  
2021 ◽  
Vol 2 (10) ◽  
pp. 1171-1193.e11 ◽  
Author(s):  
Sophia Sobesky ◽  
Laman Mammadova ◽  
Melita Cirillo ◽  
Esther E.E. Drees ◽  
Julia Mattlener ◽  
...  

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.


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