Circulating cell-free DNA in the peripheral blood plasma of patients is an informative biomarker for multiple myeloma relapse

Author(s):  
Hiroshi Yasui ◽  
Masayuki Kobayashi ◽  
Kota Sato ◽  
Kanya Kondoh ◽  
Tadao Ishida ◽  
...  
2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Luka de Vos ◽  
Heidrun Gevensleben ◽  
Andreas Schröck ◽  
Alina Franzen ◽  
Glen Kristiansen ◽  
...  

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2592-2592
Author(s):  
Nicholas J. Short ◽  
Keyur Patel ◽  
Maher Albitar ◽  
Miguel Franquiz ◽  
Rashmi Kanagal-Shamanna ◽  
...  

Background: Circulating cell-free DNA (ccfDNA) is highly fragmented DNA in plasma that is released by normal or tumor cells when they undergo apoptosis or necrosis. ccfDNA allows for non-invasive sampling of somatic genomic alterations and is informative in various solid tumors, including as a marker of measurable residual disease (MRD). We sought to assess the utility of baseline assessment and tracking of leukemia-associated mutations through peripheral blood sampling of ccfDNA in patients (pts) with acute leukemias. Methods: Plasma ccfDNA was isolated and analyzed using a next-generation sequencing (NGS) assay of 275 genes. This NGS analysis is based on Single Primer Extension library preparation with unique molecular identifier (Qiagen, Germantown, MD); a sequence coverage ≥ 100X (after removing duplicates) was required. Amplicon-based NGS was also performed on DNA extracted from the bone marrow (BM) in a CLIA-certified molecular diagnostics laboratory. This BM panel detects mutations in the coding sequence of 28 leukemia-associated genes, with an analytic sensitivity of 5-10%. The ccfDNA panel included all 28 genes evaluated on the BM NGS panel (ABL1, ASXL1, BRAF, DNMT3A, EGFR, EZH2, FLT3, GATA1, GATA2, HRAS, IDH1, IDH2, IKZF1, JAK2, KIT, KRAS, MDM2, MLL, MPL, MYD88, NOTCH1, NPM1, NRAS, PTPN11, RUNX1, TET2, TP53, WT1). Established bioinformatics pipelines were used to identify somatic variants. Results: Twenty-four pts (AML, n=22; ALL, n=2) underwent paired ccfDNA and BM sequencing at diagnosis prior to receiving frontline intensive chemotherapy. For baseline samples, ccfDNA was collected a median of 6 days after BM collection (range, 0-27 days) and a median of 0.5 days after start of induction chemotherapy (range, -7 to 7 days). Eleven pts (46%) also had ccfDNA collected at ≥1 time point during remission. Among the 28 genes of interest, the median number of mutations per pt detected in BM and in ccfDNA was 1 (range, 0-4) for both assays (P=0.39). A total of 40 mutations were detected: 18 mutations (45%) were detected by both methods, 7 (18%) were detected only in ccfDNA, and 15 (38%) were detected only in BM. Time from start of chemotherapy until ccfDNA collection did not appear to impact the concordance of ccfDNA and BM mutation analysis (P=0.87). Among mutations detected by ccfDNA in baseline samples, the median variant allelic frequency (VAF) was 33.7% (range, 2.7-90.8%). Among the 18 overlapping mutations, the concordance of VAF assessment by both methods was high (R2 = 0.849). Mutations detected by only one of the two methods were generally of lower VAF than those detected by both methods, suggesting that either method may miss small subclonal populations. The median VAF of mutations (as measured in ccfDNA) that were detected by both methods was higher than those detected only in ccfDNA (39.8% vs 25.2%, respectively; P=0.04); similarly, the median VAF of mutations (as measured in BM) that were detected by both methods was higher than those detected only in BM (40.2% vs 6.6%; P=0.001). Among the 7 mutations detected only by ccfDNA, ASXL1 was detected in 2 pts, WT1 in 1 pt, IDH1 in 1 pt, and BRAF and two EGFR mutations in 1 pt. Among the 5 pts in whom mutations were detected in ccfDNA but not BM, 2 eventually relapsed. In both pts, the discordant mutation (IDH1 and ASXL1) was detected in the relapse BM, suggesting that these were true mutations that were missed by NGS of the baseline BM. ccfDNA detected leukemia-associated mutations during remission that appeared to herald overt relapse (Figure 1). Two pts with t(8;21) AML developed new RUNX1 mutations detected by ccfDNA while in remission and subsequently relapsed 3 months and 14 months later. In both of these pts, the new RUNX1 mutation was confirmed in the BM at the time of morphological relapse. Another pt with AML had persistent TP53 and TET2 mutations detected by ccfDNA 1 month after allogeneic stem cell transplant and subsequently relapsed 1 month later. Conclusions: This study demonstrates that sequencing of ccfDNA can identify prognostic or targetable mutations not detected by BM NGS. However, true mutations were missed by both ccfDNA and BM analysis, suggesting that these methodologies may be complementary in the assessment and monitoring of pts with leukemia. The use of ccfDNA as a non-invasive method to detect mutations and track MRD in AML and other leukemias should be evaluated in larger, prospective cohorts. Disclosures Short: Takeda Oncology: Consultancy, Research Funding; AstraZeneca: Consultancy; Amgen: Honoraria. Jabbour:Amgen: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Cyclacel LTD: Research Funding; AbbVie: Consultancy, Research Funding; Adaptive: Consultancy, Research Funding; Takeda: Consultancy, Research Funding. Garcia-Manero:Amphivena: Consultancy, Research Funding; Helsinn: Research Funding; Novartis: Research Funding; AbbVie: Research Funding; Celgene: Consultancy, Research Funding; Astex: Consultancy, Research Funding; Onconova: Research Funding; H3 Biomedicine: Research Funding; Merck: Research Funding. Kantarjian:BMS: Research Funding; Amgen: Honoraria, Research Funding; Agios: Honoraria, Research Funding; Immunogen: Research Funding; Takeda: Honoraria; Novartis: Research Funding; Ariad: Research Funding; Astex: Research Funding; Pfizer: Honoraria, Research Funding; Actinium: Honoraria, Membership on an entity's Board of Directors or advisory committees; Daiichi-Sankyo: Research Funding; Jazz Pharma: Research Funding; Cyclacel: Research Funding; AbbVie: Honoraria, Research Funding. Ravandi:Macrogenix: Consultancy, Research Funding; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Xencor: Consultancy, Research Funding; Menarini Ricerche: Research Funding; Cyclacel LTD: Research Funding; Selvita: Research Funding.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 8032-8032
Author(s):  
Brian C Chiu ◽  
Zhou Zhang ◽  
Benjamin Avi Derman ◽  
Jason Karpus ◽  
Spencer Langerman ◽  
...  

8032 Background: The epigenetic mark 5-methylcytosines (5mC) have been associated with poor prognosis and survival in multiple myeloma (MM), but the prognostic role of 5-hydroxymethylcytosines (5hmC) as marks of tissue-specific enhancers generated from 5mC through active demethylation is unknown. We showed that 5hmC can be profiled in circulating cell-free DNA (cfDNA) and is associated with relapse/death in another lymphoproliferative disorder diffuse large B-cell lymphoma. To date, no study has investigated genome-wide 5hmC profiles in cfDNA for its prognostic significance in MM. Methods: A total of 354 newly diagnosed MM patients at the University of Chicago Medical Center were prospectively enrolled between 2010-2017. Blood samples were collected at the time of diagnosis. Patients were followed through 31 December 2020 (avg. follow-up = 77.8 mths). We collected baseline clinical, laboratory, and cytogenetic data from electronic medical records. Vital status was ascertained in 351 of the 354 patients (deaths = 73) using the National Death Index. We profiled genome-wide 5hmC in cfDNA using the 5hmC-Seal and next-generation sequencing. The 5hmC-Seal data were mapped to the human genome reference (hg19) and annotated to gene bodies. Overall survival (OS) was defined as time from diagnosis until death from any cause. We used Cox proportional hazards model and the elastic net regularization to identify genes with modified 5hmC levels that are associated with OS. Patients were randomly divided into a training set (n = 264) and testing set (n = 87). Results: The median age at diagnosis was 61.8 years and 47% (n = 165) were males. We used the differential 5hmC enrichment levels of a preliminary four-gene marker panel (i.e., YPEL1, VIPR2, PLAC8L1, and CYP2D6) to compute a weighted prognostic score (wp-score). In the training set (deaths = 55), MM patients with high wp-score had worse OS (Hazard Ratio [HR] = 2.2, 95% Confidence Interval [CI]: 1.3-3.9; p = 0.004). The same trend was observed in the testing set (deaths = 18) (HR = 3.5, 95% CI: 1.1-10.6; p = 0.02). The 5hmC-based wp-score remained significantly associated with OS after controlling for standard prognostic factors, suggesting that 5hmC-based wp-score for this 4-gene panel is an independent prognostic factor for MM. We also explored population-specific 5hmC and wp-score. We found that 5hmC profiles in cfDNA differ between Blacks (n = 117) and Whites (n = 234). In addition, 5hmC marker genes associated with OS differ between Blacks (13 genes) and Whites (20 genes). Conclusions: Our results suggest that 5hmC in cfDNA at the time of diagnosis correlate with OS in MM and the 5hmC marker genes associated with OS differ between Blacks and Whites. These findings suggest that a plasma-derived cfDNA 5hmC-modified gene panel holds promise as a noninvasive approach for predicting prognosis in MM and may be integrated in clinical practice to improve precision care.


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