David Kurtz

All Publications

• Integrating genomic features for non-invasive early lung cancer detection NATURE Chabon, J. J., Hamilton, E. G., Kurtz, D. M., Esfahani, M. S., Moding, E. J., Stehr, H., Schroers-Martin, J., Nabet, B. Y., Chen, B., Chaudhuri, A. A., Liu, C., Hui, A. B., Jin, M. C., Azad, T. D., Almanza, D., Jeon, Y., Nesselbush, M. C., Keh, L., Bonilla, R. F., Yoo, C. H., Ko, R. B., Chen, E. L., Merriott, D. J., Massion, P. P., Mansfield, A. S., Jen, J., Ren, H. Z., Lin, S. H., Costantino, C. L., Burr, R., Tibshirani, R., Gambhir, S. S., Berry, G. J., Jensen, K. C., West, R. B., Neal, J. W., Wakelee, H. A., Loo, B. W., Kunder, C. A., Leung, A. N., Lui, N. S., Berry, M. F., Shrager, J. B., Nair, V. S., Haber, D. A., Sequist, L. V., Alizadeh, A. A., Diehn, M. 2020

  View details for DOI 10.1038/s41586-020-2140-0

  View details for Web of Science ID 000521531000011

• Dynamic Risk Profiling Using Serial Tumor Biomarkers for Personalized Outcome Prediction. Cell Kurtz, D. M., Esfahani, M. S., Scherer, F., Soo, J., Jin, M. C., Liu, C. L., Newman, A. M., Duhrsen, U., Huttmann, A., Casasnovas, O., Westin, J. R., Ritgen, M., Bottcher, S., Langerak, A. W., Roschewski, M., Wilson, W. H., Gaidano, G., Rossi, D., Bahlo, J., Hallek, M., Tibshirani, R., Diehn, M., Alizadeh, A. A. 2019

  Abstract

  Accurate prediction of long-term outcomes remains a challenge in the care of cancer patients. Due to the difficulty of serial tumor sampling, previous prediction tools have focused on pretreatment factors. However, emerging non-invasive diagnostics have increased opportunities for serial tumor assessments. We describe the Continuous Individualized Risk Index (CIRI), a method to dynamically determine outcome probabilities for individual patients utilizing risk predictors acquired over time. Similar to "win probability" models in other fields, CIRI provides a real-time probability by integrating risk assessments throughout a patient's course. Applying CIRI to patients with diffuse large B cell lymphoma, we demonstrate improved outcome prediction compared to conventional risk models. We demonstrate CIRI's broader utility in analogous models of chronic lymphocytic leukemia and breast adenocarcinoma and perform a proof-of-concept analysis demonstrating how CIRI could be used to develop predictive biomarkers for therapy selection. We envision thatdynamic risk assessment will facilitate personalized medicine and enable innovative therapeutic paradigms.

  View details for DOI 10.1016/j.cell.2019.06.011

  View details for PubMedID 31280963

• Changes in circulating tumor DNA levels are associated with treatment response and progression-free survival in relapse/refractory DLBCL subjects. Lovejoy, A. F., Lin, H., Tabari, E., Saelee, S., Kurtz, D., Vitazka, P., Morschhauser, F., Chu, Y., Szafer-Glusman, E., Venstrom, J., Luong, K., Klass, D. M. AMER SOC CLINICAL ONCOLOGY. 2019

  View details for Web of Science ID 000487345806308

• Reply to J. Wang et al. Journal of clinical oncology : official journal of the American Society of Clinical Oncology Kurtz, D. M., Scherer, F., Jin, M. C., Soo, J., Craig, A. F., Esfahani, M. S., Chabon, J. J., Stehr, H., Liu, C. L., Tibshirani, R., Maeda, L. S., Gupta, N. K., Khodadoust, M. S., Advani, R. H., Newman, A. M., Duhrsen, U., Huttmann, A., Meignan, M., Casasnovas, O., Westin, J. R., Roschewski, M., Wilson, W. H., Gaidano, G., Rossi, D., Diehn, M., Alizadeh, A. A. 2019: JCO1801907

  View details for PubMedID 30753108

• Circulating tumor DNA analysis for detection of minimal residual disease after chemoradiotherapy for localized esophageal cancer. Gastroenterology Azad, T. D., Chaudhuri, A. A., Fang, P., Qiao, Y., Esfahani, M. S., Chabon, J. J., Hamilton, E. G., Yang, Y. D., Lovejoy, A., Newman, A. M., Kurtz, D. M., Jin, M., Schroers-Martin, J., Stehr, H., Liu, C. L., Bik-Yu Hui, A., Patel, V., Maru, D., Lin, S. H., Alizadeh, A. A., Diehn, M. 2019

  Abstract

  Biomarkers are needed to identify patients at risk of tumor progression following chemoradiotherapy for localized esophageal cancer. These could improve identification of patients at risk for cancer progression and selection of therapy.We performed deep sequencing (CAPP-Seq) analyses of plasma cell-free DNA collected from 45 patients before and after chemoradiotherapy for esophageal cancer, as well as DNA from leukocytes, and fixed esophageal tumor biopsies collected during esophagogastroduodenoscopy. Patients were treated from May 2010 through October 2015; 23 patients subsequently underwent esophagectomy and 22 did not undergo surgery. We also sequenced DNA from blood samples from 40 healthy individuals (controls). We analyzed 802 regions of 607 genes for single-nucleotide variants previously associated with esophageal adenocarcinoma or squamous cell carcinoma. Patients underwent imaging analyses 6-8 weeks after chemoradiotherapy and were followed for 5 years. Our primary aim was to determine whether detection of circulating tumor DNA (ctDNA) following chemoradiotherapy is associated with risk of tumor progression (growth of local, regional, or distant tumors, detected by imaging or biopsy).The median proportion of tumor-derived DNA in total cell-free DNA before treatment was 0.07%, indicating that ultrasensitive assays are needed for quantification and analysis of ctDNA from localized esophageal tumors. Detection of ctDNA following chemoradiotherapy was associated with tumor progression (hazard ratio, 18.7; P<.0001), formation of distant metastases (hazard ratio, 32.1; P<.0001), and shorter disease-specific survival times (hazard ratio, 23.1; P<.0001). A higher proportion of patients with tumor progression had new mutations detected in plasma samples collected after chemoradiotherapy than patients without progression (P=.03). Detection of ctDNA after chemoradiotherapy preceded radiographic evidence of tumor progression by an average of 2.8 months. Among patients who received chemoradiotherapy without surgery, combined ctDNA and metabolic imaging analysis predicted progression in 100% of patients with tumor progression, compared with 71% for only ctDNA detection and 57% for only metabolic imaging analysis (P<.001 for comparison of either technique to combined analysis).In an analysis of cell-free DNA in blood samples from patients who underwent chemoradiotherapy for esophageal cancer, detection of ctDNA was associated with tumor progression, metastasis, and disease-specific survival. Analysis of ctDNA might be used to identify patients at highest risk for tumor progression.

  View details for DOI 10.1053/j.gastro.2019.10.039

  View details for PubMedID 31711920

• Prognostication with circulating tumor DNA: is it ready for prime time? Hematology. American Society of Hematology. Education Program Kurtz, D. M. 2019; 2019 (1): 47–52

  Abstract

  Emerging methods to detect tumor-derived DNA in the blood plasma of patients with lymphomas-so-called "circulating tumor DNA" (ctDNA)-have the potential to change the way in which lymphoma is diagnosed and managed in the clinic. The possible applications for ctDNA are numerous, including mutation genotyping, response monitoring, and detection of minimal residual disease during a time of radiographic remission. This article discusses the methodology for detecting ctDNA in aggressive B-cell lymphomas, including digital polymerase chain reaction, targeted sequencing of immunoglobulin receptors, and targeted next-generation sequencing. The advantages of each of these methods are also compared, with a focus on promising clinical applications. These include identification of molecular subtypes (eg, cell-of-origin and double-hit lymphomas) from pretreatment plasma, molecular response prediction after an initial course of therapy, and early detection of relapsing disease prior to clinical relapse. Finally, this article discusses the challenges in implementing ctDNA assays in the clinic today, including possible solutions to these challenges.

  View details for DOI 10.1182/hematology.2019000013

  View details for PubMedID 31808836

• The Development of Liquid Biopsy for Research and Clinical Practice in Lymphomas: Report of the 15-ICML Workshop on ctDNA. Hematological oncology Rossi, D., Kurtz, D. M., Roschewski, M., Cavalli, F., Zucca, E., Wilson, W. H. 2019

  Abstract

  This report summarizes a closed workshop co-sponsored by the American Association for Cancer Research, the European School of Oncology and the 15th-International Conference on Malignant Lymphoma to discuss critical open questions on liquid biopsy in lymphoid malignancies, develops a roadmap for their analytical and clinical validation, and prioritizes research areas. This article is protected by copyright. All rights reserved.

  View details for DOI 10.1002/hon.2704

  View details for PubMedID 31872890

• Distinct Chromatin Accessibility Profiles of Lymphoma Subtypes Revealed By Targeted Cell Free DNA Profiling Mehrmohamadi, M., Esfahani, M. S., Soo, J., Scherer, F., Schroers-Martin, J. G., Chen, B., Kurtz, D. M., Hamilton, E., Liu, C., Diehn, M., Alizadeh, A. A. AMER SOC HEMATOLOGY. 2018

  View details for DOI 10.1182/blood-2018-99-119361

  View details for Web of Science ID 000454837602050

• Noninvasive Genotyping and Monitoring of Classical Hodgkin Lymphoma Jin, M. C., Schroers-Martin, J. G., Kurtz, D. M., Buedts, L., Esfahani, M. S., Macaulay, C., Sworder, B., Soo, J., Glover, C., Roschewski, M., Wilson, W. H., Duhrsen, U., Huettmann, A., Rossi, D., Gaidano, G., Westin, J. R., Maeda, L. S., Advani, R. H., Vandenberghe, P., Diehn, M., Alizadeh, A. A. AMER SOC HEMATOLOGY. 2018

  View details for DOI 10.1182/blood-2018-99-119140

  View details for Web of Science ID 000454842800039

• Lymphoma Virome Dynamics Revealed By Cell-Free DNA Sequencing Schroers-Martin, J. G., Garofalo, A., Soo, J., Jin, M. C., Kurtz, D. M., Buedts, L., Duehrsen, U., Huettmann, A., Cottereau, A., Meignan, M., Casasnovas, O., Westin, J. R., Gaidano, G., Rossi, D., Roschewski, M., Wilson, W. H., Advani, R. H., Vandenberghe, P., Diehn, M., Khush, K., Alizadeh, A. A. AMER SOC HEMATOLOGY. 2018

  View details for DOI 10.1182/blood-2018-99-119905

  View details for Web of Science ID 000454842800062

• Circulating Tumor DNA Measurements As Early Outcome Predictors in Diffuse Large B-Cell Lymphoma. Journal of clinical oncology : official journal of the American Society of Clinical Oncology Kurtz, D. M., Scherer, F., Jin, M. C., Soo, J., Craig, A. F., Esfahani, M. S., Chabon, J. J., Stehr, H., Liu, C. L., Tibshirani, R., Maeda, L. S., Gupta, N. K., Khodadoust, M. S., Advani, R. H., Levy, R., Newman, A. M., Duhrsen, U., Huttmann, A., Meignan, M., Casasnovas, R., Westin, J. R., Roschewski, M., Wilson, W. H., Gaidano, G., Rossi, D., Diehn, M., Alizadeh, A. A. 2018: JCO2018785246

  Abstract

  Purpose Outcomes for patients with diffuse large B-cell lymphoma remain heterogeneous, with existing methods failing to consistently predict treatment failure. We examined the additional prognostic value of circulating tumor DNA (ctDNA) before and during therapy for predicting patient outcomes. Patients and Methods We studied the dynamics of ctDNA from 217 patients treated at six centers, using a training and validation framework. We densely characterized early ctDNA dynamics during therapy using cancer personalized profiling by deep sequencing to define response-associated thresholds within a discovery set. These thresholds were assessed in two independent validation sets. Finally, we assessed the prognostic value of ctDNA in the context of established risk factors, including the International Prognostic Index and interim positron emission tomography/computed tomography scans. Results Before therapy, ctDNA was detectable in 98% of patients; pretreatment levels were prognostic in both front-line and salvage settings. In the discovery set, ctDNA levels changed rapidly, with a 2-log decrease after one cycle (early molecular response [EMR]) and a 2.5-log decrease after two cycles (major molecular response [MMR]) stratifying outcomes. In the first validation set, patients receiving front-line therapy achieving EMR or MMR had superior outcomes at 24 months (EMR: EFS, 83% v 50%; P = .0015; MMR: EFS, 82% v 46%; P < .001). EMR also predicted superior 24-month outcomes in patients receiving salvage therapy in the first validation set (EFS, 100% v 13%; P = .011). The prognostic value of EMR and MMR was further confirmed in the second validation set. In multivariable analyses including International Prognostic Index and interim positron emission tomography/computed tomography scans across both cohorts, molecular response was independently prognostic of outcomes, including event-free and overall survival. Conclusion Pretreatment ctDNA levels and molecular responses are independently prognostic of outcomes in aggressive lymphomas. These risk factors could potentially guide future personalized risk-directed approaches.

  View details for PubMedID 30125215

• Early detection of molecular residual disease in localized lung cancer by circulating tumor DNA profiling. Cancer discovery Chaudhuri, A. A., Chabon, J. J., Lovejoy, A. F., Newman, A. M., Stehr, H., Azad, T. D., Khodadoust, M. S., Esfahani, M. S., Liu, C. L., Zhou, L., Scherer, F., Kurtz, D. M., Say, C., Carter, J. N., Merriott, D. J., Dudley, J. C., Binkley, M. S., Modlin, L., Padda, S. K., Gensheimer, M. F., West, R. B., Shrager, J. B., Neal, J. W., Wakelee, H. A., Loo, B. W., Alizadeh, A. A., Diehn, M. 2017

  Abstract

  Identifying molecular residual disease (MRD) after treatment of localized lung cancer could facilitate early intervention and personalization of adjuvant therapies. Here we apply Cancer Personalized Profiling by Deep Sequencing (CAPP-Seq) circulating tumor DNA (ctDNA) analysis to 255 samples from 40 patients treated with curative intent for stage I-III lung cancer and 54 healthy adults. In 94% of evaluable patients experiencing recurrence, ctDNA was detectable in the first post-treatment blood sample, indicating reliable identification of MRD. Post-treatment ctDNA detection preceded radiographic progression in 72% of patients by a median of 5.2 months and 53% of patients harbored ctDNA mutation profiles associated with favorable responses to tyrosine kinase inhibitors or immune checkpoint blockade. Collectively, these results indicate that ctDNA MRD in lung cancer patients can be accurately detected using CAPP-Seq and may allow personalized adjuvant treatment while disease burden is lowest.

  View details for PubMedID 28899864

• High-throughput sequencing for noninvasive disease detection in hematologic malignancies. Blood Scherer, F., Kurtz, D. M., Diehn, M., Alizadeh, A. A. 2017; 130 (4): 440–52

  Abstract

  Noninvasive monitoring of minimal residual disease (MRD) has led to significant advances in personalized management of patients with hematologic malignancies. Improved therapeutic options and prolonged survival have further increased the need for sensitive tumor assessment that can inform treatment decisions and patient outcomes. At diagnosis or relapse of most hematologic neoplasms, malignant cells are often easily accessible in the blood as circulating tumor cells (CTCs), making them ideal targets to noninvasively profile the molecular features of each patient. In other cancer types, CTCs are generally rare and noninvasive molecular detection relies on circulating tumor DNA (ctDNA) shed from tumor deposits into circulation. The ability to precisely detect and quantify CTCs and ctDNA could minimize invasive procedures and improve prediction of clinical outcomes. Technical advances in MRD detection methods in recent years have led to reduced costs and increased sensitivity, specificity, and applicability. Among currently available tests, high-throughput sequencing (HTS)-based approaches are increasingly attractive for noninvasive molecular testing. HTS-based methods can simultaneously identify multiple genetic markers with high sensitivity and specificity without individual optimization. In this review, we present an overview of techniques used for noninvasive molecular disease detection in selected myeloid and lymphoid neoplasms, with a focus on the current and future role of HTS-based assays.

  View details for PubMedID 28600337

  View details for PubMedCentralID PMC5881609

• Molecular profiling of single circulating tumor cells from lung cancer patients PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA Park, S., Wong, D. J., Ooi, C. C., Kurtz, D. M., Vermesh, O., Aalipour, A., Suh, S., Pian, K. L., Chabon, J. J., Lee, S. H., Jamali, M., Say, C., Carter, J. N., Lee, L. P., Kuschner, W. G., Schwartz, E. J., Shrager, J. B., Neal, J. W., Wakelee, H. A., Diehn, M., Nair, V. S., Wang, S. X., Gambhir, S. S. 2016; 113 (52): E8379-E8386

  Abstract

  Circulating tumor cells (CTCs) are established cancer biomarkers for the "liquid biopsy" of tumors. Molecular analysis of single CTCs, which recapitulate primary and metastatic tumor biology, remains challenging because current platforms have limited throughput, are expensive, and are not easily translatable to the clinic. Here, we report a massively parallel, multigene-profiling nanoplatform to compartmentalize and analyze hundreds of single CTCs. After high-efficiency magnetic collection of CTC from blood, a single-cell nanowell array performs CTC mutation profiling using modular gene panels. Using this approach, we demonstrated multigene expression profiling of individual CTCs from non-small-cell lung cancer (NSCLC) patients with remarkable sensitivity. Thus, we report a high-throughput, multiplexed strategy for single-cell mutation profiling of individual lung cancer CTCs toward minimally invasive cancer therapy prediction and disease monitoring.

  View details for DOI 10.1073/pnas.1608461113

  View details for PubMedID 27956614

• Distinct biological subtypes and patterns of genome evolution in lymphoma revealed by circulating tumor DNA SCIENCE TRANSLATIONAL MEDICINE Scherer, F., Kurtz, D. M., Newman, A. M., Stehr, H., Craig, A. F., Esfahani, M. S., Lovejoy, A. F., Chabon, J. J., Klass, D. M., Liu, C. L., Zhou, L., Glover, C., Visser, B. C., Poultsides, G. A., Advani, R. H., Maeda, L. S., Gupta, N. K., Levy, R., Ohgami, R. S., Kunder, C. A., Diehn, M., Alizadeh, A. A. 2016; 8 (364)

  Abstract

  Patients with diffuse large B cell lymphoma (DLBCL) exhibit marked diversity in tumor behavior and outcomes, yet the identification of poor-risk groups remains challenging. In addition, the biology underlying these differences is incompletely understood. We hypothesized that characterization of mutational heterogeneity and genomic evolution using circulating tumor DNA (ctDNA) profiling could reveal molecular determinants of adverse outcomes. To address this hypothesis, we applied cancer personalized profiling by deep sequencing (CAPP-Seq) analysis to tumor biopsies and cell-free DNA samples from 92 lymphoma patients and 24 healthy subjects. At diagnosis, the amount of ctDNA was found to strongly correlate with clinical indices and was independently predictive of patient outcomes. We demonstrate that ctDNA genotyping can classify transcriptionally defined tumor subtypes, including DLBCL cell of origin, directly from plasma. By simultaneously tracking multiple somatic mutations in ctDNA, our approach outperformed immunoglobulin sequencing and radiographic imaging for the detection of minimal residual disease and facilitated noninvasive identification of emergent resistance mutations to targeted therapies. In addition, we identified distinct patterns of clonal evolution distinguishing indolent follicular lymphomas from those that transformed into DLBCL, allowing for potential noninvasive prediction of histological transformation. Collectively, our results demonstrate that ctDNA analysis reveals biological factors that underlie lymphoma clinical outcomes and could facilitate individualized therapy.

  View details for DOI 10.1126/scitranslmed.aai8545

  View details for PubMedID 27831904

• Circulating tumour DNA profiling reveals heterogeneity of EGFR inhibitor resistance mechanisms in lung cancer patients NATURE COMMUNICATIONS Chabon, J. J., Simmons, A. D., Lovejoy, A. F., Esfahani, M. S., Newman, A. M., Haringsma, H. J., Kurtz, D. M., Stehr, H., Scherer, F., Karlovich, C. A., Harding, T. C., Durkin, K. A., Otterson, G. A., Purcell, W. T., Camidge, D. R., Goldman, J. W., Sequist, L. V., Piotrowska, Z., Wakelee, H. A., Neal, J. W., Alizadeh, A. A., Diehn, M. 2016; 7

  Abstract

  Circulating tumour DNA (ctDNA) analysis facilitates studies of tumour heterogeneity. Here we employ CAPP-Seq ctDNA analysis to study resistance mechanisms in 43 non-small cell lung cancer (NSCLC) patients treated with the third-generation epidermal growth factor receptor (EGFR) inhibitor rociletinib. We observe multiple resistance mechanisms in 46% of patients after treatment with first-line inhibitors, indicating frequent intra-patient heterogeneity. Rociletinib resistance recurrently involves MET, EGFR, PIK3CA, ERRB2, KRAS and RB1. We describe a novel EGFR L798I mutation and find that EGFR C797S, which arises in ∼33% of patients after osimertinib treatment, occurs in <3% after rociletinib. Increased MET copy number is the most frequent rociletinib resistance mechanism in this cohort and patients with multiple pre-existing mechanisms (T790M and MET) experience inferior responses. Similarly, rociletinib-resistant xenografts develop MET amplification that can be overcome with the MET inhibitor crizotinib. These results underscore the importance of tumour heterogeneity in NSCLC and the utility of ctDNA-based resistance mechanism assessment.

  View details for DOI 10.1038/ncomms11815

  View details for PubMedID 27283993

• Integrated digital error suppression for improved detection of circulating tumor DNA NATURE BIOTECHNOLOGY Newman, A. M., Lovejoy, A. F., Klass, D. M., Kurtz, D. M., Chabon, J. J., Scherer, F., Stehr, H., Liu, C. L., Bratman, S. V., Say, C., Zhou, L., Carter, J. N., West, R. B., Sledge, G. W., Shrager, J. B., Loo, B. W., Neal, J. W., Wakelee, H. A., Diehn, M., Alizadeh, A. A. 2016; 34 (5): 547-555

  Abstract

  High-throughput sequencing of circulating tumor DNA (ctDNA) promises to facilitate personalized cancer therapy. However, low quantities of cell-free DNA (cfDNA) in the blood and sequencing artifacts currently limit analytical sensitivity. To overcome these limitations, we introduce an approach for integrated digital error suppression (iDES). Our method combines in silico elimination of highly stereotypical background artifacts with a molecular barcoding strategy for the efficient recovery of cfDNA molecules. Individually, these two methods each improve the sensitivity of cancer personalized profiling by deep sequencing (CAPP-Seq) by about threefold, and synergize when combined to yield ∼15-fold improvements. As a result, iDES-enhanced CAPP-Seq facilitates noninvasive variant detection across hundreds of kilobases. Applied to non-small cell lung cancer (NSCLC) patients, our method enabled biopsy-free profiling of EGFR kinase domain mutations with 92% sensitivity and >99.99% specificity at the variant level, and with 90% sensitivity and 96% specificity at the patient level. In addition, our approach allowed monitoring of NSCLC ctDNA down to 4 in 10(5) cfDNA molecules. We anticipate that iDES will aid the noninvasive genotyping and detection of ctDNA in research and clinical settings.

  View details for DOI 10.1038/nbt.3520

  View details for PubMedID 27018799

• Organocatalytic removal of formaldehyde adducts from RNA and DNA bases. Nature chemistry Karmakar, S., Harcourt, E. M., Hewings, D. S., Scherer, F., Lovejoy, A. F., Kurtz, D. M., Ehrenschwender, T., Barandun, L. J., Roost, C., Alizadeh, A. A., Kool, E. T. 2015; 7 (9): 752-758

  Abstract

  Formaldehyde is universally used to fix tissue specimens, where it forms hemiaminal and aminal adducts with biomolecules, hindering the ability to retrieve molecular information. Common methods for removing these adducts involve extended heating, which can cause extensive degradation of nucleic acids, particularly RNA. Here, we show that water-soluble bifunctional catalysts (anthranilates and phosphanilates) speed the reversal of formaldehyde adducts of mononucleotides over standard buffers. Studies with formaldehyde-treated RNA oligonucleotides show that the catalysts enhance adduct removal, restoring unmodified RNA at 37 °C even when extensively modified, while avoiding the high temperatures that promote RNA degradation. Experiments with formalin-fixed, paraffin-embedded cell samples show that the catalysis is compatible with common RNA extraction protocols, with detectable RNA yields increased by 1.5-2.4-fold using a catalyst under optimized conditions and by 7-25-fold compared with a commercial kit. Such catalytic strategies show promise for general use in reversing formaldehyde adducts in clinical specimens.

  View details for DOI 10.1038/nchem.2307

  View details for PubMedID 26291948

• Organocatalytic removal of formaldehyde adducts from RNA and DNA bases NATURE CHEMISTRY Karmakar, S., Harcourt, E. M., Hewings, D. S., Lovejoy, A. F., Kurtz, D. M., Ehrenschwender, T., Barandun, L. J., Roost, C., Alizadeh, A. A., Kool, E. T. 2015; 7 (9): 752-758

  Abstract

  Formaldehyde is universally used to fix tissue specimens, where it forms hemiaminal and aminal adducts with biomolecules, hindering the ability to retrieve molecular information. Common methods for removing these adducts involve extended heating, which can cause extensive degradation of nucleic acids, particularly RNA. Here, we show that water-soluble bifunctional catalysts (anthranilates and phosphanilates) speed the reversal of formaldehyde adducts of mononucleotides over standard buffers. Studies with formaldehyde-treated RNA oligonucleotides show that the catalysts enhance adduct removal, restoring unmodified RNA at 37 °C even when extensively modified, while avoiding the high temperatures that promote RNA degradation. Experiments with formalin-fixed, paraffin-embedded cell samples show that the catalysis is compatible with common RNA extraction protocols, with detectable RNA yields increased by 1.5-2.4-fold using a catalyst under optimized conditions and by 7-25-fold compared with a commercial kit. Such catalytic strategies show promise for general use in reversing formaldehyde adducts in clinical specimens.

  View details for DOI 10.1038/NCHEM.2307

  View details for Web of Science ID 000360191800014

  View details for PubMedCentralID PMC4545578

• Next-generation surveillance strategies for patients with lymphoma. Future oncology Cohen, J. B., Kurtz, D. M., Staton, A. D., Flowers, C. R. 2015; 11 (13): 1977-1991

  Abstract

  While remission and cure rates for Hodgkin and non-Hodgkin lymphoma continue to improve, surveillance approaches remain controversial, especially in light of recent reports suggesting limited benefit for routine radiologic assessment. Routine cross-sectional imaging results in considerable patient expense and anxiety, and this approach does not clearly improve patient outcomes. Next-generation approaches including minimal residual disease detection may provide an opportunity to identify relapse early and intervene prior to progression of clinical disease. This review discusses the role of surveillance imaging in Hodgkin and non-Hodgkin lymphoma and provides an introduction to serologic assessment of minimal residual disease. Future studies will need to focus on the clinical application of minimal residual disease surveillance and its ability to predict relapse, treatment response and survival.

  View details for DOI 10.2217/fon.15.92

  View details for PubMedID 26161931

  View details for PubMedCentralID PMC4519355

• Noninvasive monitoring of diffuse large B-cell lymphoma by immunoglobulin high-throughput sequencing. Blood Kurtz, D. M., Green, M. R., Bratman, S. V., Scherer, F., Liu, C. L., Kunder, C. A., Takahashi, K., Glover, C., Keane, C., Kihira, S., Visser, B., Callahan, J., Kong, K. A., Faham, M., Corbelli, K. S., Miklos, D., Advani, R. H., Levy, R., Hicks, R. J., Hertzberg, M., Ohgami, R. S., Gandhi, M. K., Diehn, M., Alizadeh, A. A. 2015; 125 (24): 3679-3687

  Abstract

  Recent studies have shown limited utility of routine surveillance imaging for diffuse large B-cell lymphoma (DLBCL) patients achieving remission. Detection of molecular disease by immunoglobulin high-throughput sequencing (Ig-HTS) from peripheral blood provides an alternate strategy for surveillance. We prospectively evaluated the utility of Ig-HTS within 311 blood and 105 tumor samples from 75 patients with DLBCL, comparing Ig-HTS from the cellular (circulating leukocytes) and acellular (plasma cell-free DNA) compartments of peripheral blood to clinical outcomes and (18)fluoro-deoxyglucose positron emission tomography combined with computed tomography (PET/CT; n = 173). Clonotypic immunoglobulin rearrangements were detected in 83% of patients with adequate tumor samples to enable subsequent monitoring in peripheral blood. Molecular disease measured from plasma, compared with circulating leukocytes, was more abundant and better correlated with radiographic disease burden. Before treatment, molecular disease was detected in the plasma of 82% of patients compared with 71% in circulating cells (P = .68). However, molecular disease was detected significantly more frequently in the plasma at time of relapse (100% vs 30%; P = .001). Detection of molecular disease in the plasma often preceded PET/CT detection of relapse in patients initially achieving remission. During surveillance time points before relapse, plasma Ig-HTS demonstrated improved specificity (100% vs 56%, P < .0001) and similar sensitivity (31% vs 55%, P = .4) compared with PET/CT. Given its high specificity, Ig-HTS from plasma has potential clinical utility for surveillance after complete remission.

  View details for DOI 10.1182/blood-2015-03-635169

  View details for PubMedID 25887775

• Tracking Cellular and Immune Therapies in Cancer EMERGING APPLICATIONS OF MOLECULAR IMAGING TO ONCOLOGY Kurtz, D. M., Gambhir, S. S. 2014; 124: 257-296

  Abstract

  The field of tumor immunology has seen an explosion of renewed interest over the last decade. With the FDA approval of new immunotherapies for prostate cancer and melanoma, as well as several exciting new drugs in clinical trials, tumor immunology is becoming an increasingly important topic in preclinical studies and patient care. However, the current methods for assessing the immune status of a patient and tumor are limited, which has led to the development of novel molecular imaging methods for assessing tumor immunology. From cell tracking for cellular therapeutics to assessing the tumor immune microenvironment, these imaging methods have the potential to further preclinical understanding of immunotherapies and potentially translate into clinically useful tests to predict and assess therapeutic response of these exciting new agents. In this review, we first discuss the recent advances in cancer immunotherapy, followed by a detailed review of the current state of molecular imaging for tumor immunology. Finally, we discuss opportunities for further development and innovation in this rapidly growing field.

  View details for DOI 10.1016/B978-0-12-411638-2.00008-2

  View details for Web of Science ID 000344511500008

• Tracking cellular and immune therapies in cancer. Advances in cancer research Kurtz, D. M., Gambhir, S. S. 2014; 124: 257-296

  Abstract

  The field of tumor immunology has seen an explosion of renewed interest over the last decade. With the FDA approval of new immunotherapies for prostate cancer and melanoma, as well as several exciting new drugs in clinical trials, tumor immunology is becoming an increasingly important topic in preclinical studies and patient care. However, the current methods for assessing the immune status of a patient and tumor are limited, which has led to the development of novel molecular imaging methods for assessing tumor immunology. From cell tracking for cellular therapeutics to assessing the tumor immune microenvironment, these imaging methods have the potential to further preclinical understanding of immunotherapies and potentially translate into clinically useful tests to predict and assess therapeutic response of these exciting new agents. In this review, we first discuss the recent advances in cancer immunotherapy, followed by a detailed review of the current state of molecular imaging for tumor immunology. Finally, we discuss opportunities for further development and innovation in this rapidly growing field.

  View details for DOI 10.1016/B978-0-12-411638-2.00008-2

  View details for PubMedID 25287692