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Circulating DNA – Large datasets and big opportunity Iwijn De Vlaminck Big Data and Molecular diagnostics o Driven by technological advances (hardware and data management tools), reduction in cost of high throughput sequencing and rapid growth of public databases. o Opportunities: precision medicine, one stop shop diagnostics. o Challenges: (1) Condensing big data elements into a therapeutic decision (2) Dealing with diverse data elements, genetic data, public, pharmacological, and clinical data Circulating cell-free DNA Abundant: 1,000 – 10,000 genome copies per ml. => up to 100 billion fragments of DNA per ml. P. Mandel, P. Metais, Biologie Compters Rendus, (1948) Mean half life in circulation: 16.3 minutes. Y.M. Dennis Lo et al., Am. J. Hum. Genet. (1999). Turnover: ~ 10,000 cells per second or ~ 1 ml cell volume per hour (primarily hematopoeitic in origin). Circulating fetal DNA PNAS 2008 Circulating tumor DNA C. Bettegowda, et al. Science Translational Medicine (2014) The challenge of post transplant therapy The challenge of post transplant therapy The challenge of post transplant therapy The therapeutic window is small, in some cases non-existent. Drug toxicity/intolerance further complicates the situation Outline o Rejection: Cell-free donor derived DNA as a marker for rejection o Heart transplants o Lung transplants o Infection: o Shotgun sequencing detects a broad array of infectious agents: o Immunosuppression o Temporal response of the virome in plasma to immunosuppressants and antivirals Outline o Rejection: Cell-free donor derived DNA as a marker for rejection o Heart transplants o Lung transplants o Infection: o Shotgun sequencing detects a broad array of infectious agents: o Immunosuppression o Temporal response of the virome in plasma to immunosuppressants and antivirals Post-transplant transplant surveillance Endomyocardial biopsy: currently the gold standard 0R 1R 2R 3R Subjective: Overall, all-grade agreement between pathologists: 71 ± 3 % Crespo-Leiro et al., Transplantation (2012). Expensive: > $4000 Invasive: major complications in ~ 1% of cases ~ 30,000 surveillance biopsies performed on heart transplants each year (3000 rejections diagnosed) Circulating cell-free DNA Abundant: 1,000 – 10,000 genome copies per ml. => up to 100 billion fragments of DNA per ml. Mean half life in circulation: 16.3 minutes. Y.M. Dennis Lo et al., Am. J. Hum. Genet. (1999). Turnover: ~ 10,000 cells per second or ~ 1 ml cell volume per hour (primarily hematopoeitic in origin). Donor-derived DNA circulates in the blood stream of transplant recipients. Y.M. Dennis Lo et al., the Lancet (1998). Cell free donor DNA as a marker for rejection Pre-transplant genotyping, 1 Million or 2.5 Million SNP markers Post-transplant sequencing of cell-free DNA T. Snyder, K.K Khush, H.A. Valantine and S.R. Quake, PNAS (2011) I. De Vlaminck, S.R. Quake et al., Science Translational Medicine (2014) Heart transplant: prospective study design and numbers Read and Donor Assignment Statistics <24 Million> 50 bp sequences <53,423> informative SNPs per donor-recipient pair <13,300> sequences align to informative SNPs Signal in absence of rejection Elevated signal immediately post transplant followed by a quick decay (decay time 2.4 days) to a low baseline level Signal at time of rejection Elevated donor DNA at time of rejection Signal at time of rejection Elevated donor DNA at time of rejection Graft loss and re-transplant Comparison signal non-rejectors/rejectors Significant increase in fraction of donor-derived DNA at rejection Performance of cell-free donor DNA as a marker of rejection AUC 0.83 Threshold 0.25% sensitivity: 58% selectivity: 93% donor DNA outperforms commercially available non-invasive diagnostic (AUC = 0.72). Potential to complement or replace biopsies Science Translational Medicine (2014) Outline o Rejection: Cell-free donor derived DNA as a marker for rejection o Heart transplants o Lung transplants o Infection: Shotgun sequencing detects a broad array of infectious agents? Temporal response of the virome in plasma to immunosuppressants and antivirals o Immunocompetence: Antibody repertoire sequencing measures the overall state of the immune system Patient survival rates in lung transplantation Major pulmonary complications following transplantation: - Bronchial Obliterans Syndrome: progressive loss of lung function ~ chronic rejection - Acute rejection - Infections of the lung ISHLT report, 30,1104 (2011) Study design Lung transplants – signal in absence of rejection Very high levels of donor DNA immediately post transplant High background level compared to heart transplants Signal elevated at rejection (transbronchial biopsy) Analysis of performance against biopsy Exclude samples collected within first 60 days Account for volume difference for single/bilateral transplants Non-human origin of a subset of sequences Data from 656 heart and lung transplant samples Viruses more abundantly represented than fungi and bacteria Cell 2013 Relative genomic abundance of species Viruses from the anelloviridae family are most abundantly represented among viruses Cell 2013 Relative genomic abundance of species The anelloviridae fraction is primarily composed of viruses from the alphatorque genus Cell 2013 Relative genomic abundance of species Bacteria at the phylum and order level of classification I. De Vlaminck , S.R. Quake et al., Cell, 155, 1178 (2013) Chronic Viral infection Herbert W. Virgin et al., Cell, 138 (2009) Immunosuppressants and antivirals alter structure of the virome 47 patients; 380 samples Virome temporal dynamics 96 patients; 656 samples Virome temporal dynamics 96 patients; 656 samples Virome temporal dynamics 96 patients; 656 samples Rejection vs infection Infectious burden different for non-rejecting vs. rejecting patients? non-rejecting rejecting Anellovirus load for rejecting vs non-rejecting recipients Anellovirus load for rejecting patients (20 patients, 177 datapoints) and non-rejecting recipients (40 patients, n = 285 datapoints) Hypothesis independent screening of pathogens via plasma DNA sequencing. Enterocytozoon bieneusi load in a bone marrow transplant patient confirms clinical positives (stool sample, red arrows) Hypothesis independent screening of pathogens via plasma DNA sequencing. Similar parasite load observed in an untested lung transplant patient that was never diagnosed but suffered from similar symptoms. Shotgun sequencing for the screening of infections o Many oncoviruses and pathogens are not screened for frequently in current clinical practice. o Shotgun sequencing reveals high incidence. o Disconnect between the frequency of clinical testing and incidence of infection. Submitted Outline o Rejection: Cell-free donor derived DNA as a marker for rejection o Heart transplants o Lung transplants o Infection: o Shotgun sequencing detects a broad array of infectious agents: o Immunosuppression o Temporal response of the virome in plasma to immunosuppressants and antivirals Acknowledgements Quake lab Jennifer Okamoto Christopher Vollmers Lance Martin Thomas Snyder Norma Neff Mark Kowarsky Mickey Kertesz Steve Quake NIH grant RC4AI092673 Stanford hospital: Calvin Strehl, Garrett Cohen, Bitika Kohli, Helen Luikart, Daniel Bernstein, David Weill, Kapil Patel, Mark Niccols, David Cornfield, Hannah Valentine, Kiran Khush Extra slides Potential for early diagnostics Donor DNA levels significantly elevated up to 5 months prior to a rejection event Response to rejection treatment Donor DNA after detection and treatment of severe rejection. Error rate – independent measurement Median error 0.04% Matched SNP positions allow estimating the frequency of erroneous donor calls Evidence of graft injury exclusively for CMV infections Bonferroni adjusted significance threshold Infection-related tissue damage 653 CMV tests performed on 47 patients. PCR tests of serum or Bronchial lavage samples (BAL) This observation is unique to CMV, 73 infection types clinically reported Observation of CMV-related graft injury Infection diagnosis via shotgun sequencing? CMV detected in plasma for patients that test positive for CMV.