David Brizel
Overview:
Head and neck cancer has constituted both my principal clinical and research foci since I came to Duke University in 1987. I designed and led a single institution phase 3 randomized clinical trial, initiated in 1989, which was one of the first in the world to demonstrate that radiotherapy and concurrent chemotherapy (CRT) was more efficacious than radiotherapy alone (RT) for treating locally advanced head and neck cancer. CRT has since been established as the non-surgical standard of care for locally advanced head and neck cancer. Reduction of treatment-induced toxicity has also been a major interest of mine because more intensive therapeutic regimens improve efficacy but also increase morbidity. I was the principal investigator of the pivotal multinational randomized trial of amifostine in head and neck cancer, which established proof of principle for pharmacologic radioprotection and led to FDA approval of this drug for protection against radiation induced xerostomia in the treatment of head and neck cancer in 1999. I have also investigated role of recombinant human keratinocyte growth factor KGF in the amelioration of mucositis in both preclinical and clinical settings.
I have an ongoing commitment to the study of in situ tumor physiology and biology. I was one of the initial investigators to initiate direct measurement of tumor oxygenation in humans on a systematic basis. This work revealed a prognostic relationship between tumor hypoxia and local-regional failure and survival in head and neck. Parallel studies of tumor oxygenation in soft tissue sarcomas resulted in the first published literature to demonstrate that hypoxia at a primary tumor site was associated with a significant increase in the risk of subsequent distant metastatic recurrence after completion of treatment. We have also demonstrated that elevated lactate concentrations in head and neck cancer primary tumors is associated with an increased risk of metastatic failure in patients undergoing primary surgical therapy for head and neck cancer.
These interests and accomplishments provide the foundation for my present efforts, which are devoted to the development of functional metabolic imaging, both MRI and PET. We are using imaging to characterize the inherent, non-treatment induced variability of several physiologic and metabolic parameters in both tumors and normal tissues and to measure treatment induced changes in them. The long- term intent is to improve our abilities to predict treatment outcome, to better understand the relationships between physical dose delivery and the risk of toxicity, and to choose more customized treatment strategies for our patients that will increase the chances of cure and decrease the risks of serious side effects
I have an ongoing commitment to the study of in situ tumor physiology and biology. I was one of the initial investigators to initiate direct measurement of tumor oxygenation in humans on a systematic basis. This work revealed a prognostic relationship between tumor hypoxia and local-regional failure and survival in head and neck. Parallel studies of tumor oxygenation in soft tissue sarcomas resulted in the first published literature to demonstrate that hypoxia at a primary tumor site was associated with a significant increase in the risk of subsequent distant metastatic recurrence after completion of treatment. We have also demonstrated that elevated lactate concentrations in head and neck cancer primary tumors is associated with an increased risk of metastatic failure in patients undergoing primary surgical therapy for head and neck cancer.
These interests and accomplishments provide the foundation for my present efforts, which are devoted to the development of functional metabolic imaging, both MRI and PET. We are using imaging to characterize the inherent, non-treatment induced variability of several physiologic and metabolic parameters in both tumors and normal tissues and to measure treatment induced changes in them. The long- term intent is to improve our abilities to predict treatment outcome, to better understand the relationships between physical dose delivery and the risk of toxicity, and to choose more customized treatment strategies for our patients that will increase the chances of cure and decrease the risks of serious side effects
Positions:
Leonard Prosnitz Distinguished Professor of Radiation Oncology
Radiation Oncology
School of Medicine
Professor of Radiation Oncology
Radiation Oncology
School of Medicine
Professor in Head and Neck Surgery and Communication Sciences
Head and Neck Surgery & Communication Sciences
School of Medicine
Member of the Duke Cancer Institute
Duke Cancer Institute
School of Medicine
Education:
M.D. 1983
Northwestern University
Grants:
BMX-001 as a Radio-Protector in Head and Neck Cancer Therapy Phase I and Phase II
Administered By
Radiation Oncology
Awarded By
BioMimetix Pharmaceutical, Inc.
Role
Principal Investigator
Start Date
End Date
Hyperglycemia and Oxygen Breathing in Head & Neck Cancer
Administered By
Radiation Oncology
Awarded By
National Institutes of Health
Role
Principal Investigator
Start Date
End Date
Heat & Radiation Effects On Tumor Microcirculation
Administered By
Radiation Oncology
Awarded By
National Institutes of Health
Role
Co-Principal Investigator
Start Date
End Date
Effects Of Heat And Radiation On Tumor
Administered By
Radiation Oncology
Awarded By
National Institutes of Health
Role
Co-Principal Investigator
Start Date
End Date
Publications:
The Affordable Care Act and suicide incidence among adults with cancer.
BACKGROUND: Patients with cancer are at an increased suicide risk, and socioeconomic deprivation may further exacerbate that risk. The Affordable Care Act (ACA) expanded insurance coverage options for low-income individuals and mandated coverage of mental health care. Our objective was to quantify associations of the ACA with suicide incidence among patients with cancer. METHODS: We identified US patients with cancer aged 18-74 years diagnosed with cancer from 2011 to 2016 from the Surveillance, Epidemiology, and End Results database. The primary outcome was the 1-year incidence of suicide based on cumulative incidence analyses. Difference-in-differences (DID) analyses compared changes in suicide incidence from 2011-2013 (pre-ACA) to 2014-2016 (post-ACA) in Medicaid expansion relative to non-expansion states. We conducted falsification tests with 65-74-year-old patients with cancer, who are Medicare-eligible and not expected to benefit from ACA provisions. RESULTS: We identified 1,263,717 patients with cancer, 812 of whom died by suicide. In DID analyses, there was no change in suicide incidence after 2014 in Medicaid expansion vs. non-expansion states for nonelderly (18-64 years) patients with cancer (p = .41), but there was a decrease in suicide incidence among young adults (18-39 years) (- 64.36 per 100,000, 95% CI = - 125.96 to - 2.76, p = .041). There were no ACA-associated changes in suicide incidence among 65-74-year-old patients with cancer. CONCLUSIONS: We found an ACA-associated decrease in the incidence of suicide for some nonelderly patients with cancer, particularly young adults in Medicaid expansion vs. non-expansion states. Expanding access to health care may decrease the risk of suicide among cancer survivors.
Authors
Barnes, JM; Graboyes, EM; Adjei Boakye, E; Kent, EE; Scherrer, JF; Park, EM; Rosenstein, DL; Mowery, YM; Chino, JP; Brizel, DM; Osazuwa-Peters, N
MLA Citation
Barnes, Justin M., et al. “The Affordable Care Act and suicide incidence among adults with cancer.” J Cancer Surviv, vol. 17, no. 2, Apr. 2023, pp. 449–59. Pubmed, doi:10.1007/s11764-022-01205-z.
URI
https://scholars.duke.edu/individual/pub1515383
PMID
35368225
Source
pubmed
Published In
J Cancer Surviv
Volume
17
Published Date
Start Page
449
End Page
459
DOI
10.1007/s11764-022-01205-z
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning Under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application.
PURPOSE: To develop a method of biologically guided deep learning for post-radiation 18FDG-PET image outcome prediction based on pre-radiation images and radiotherapy dose information. METHODS: Based on the classic reaction-diffusion mechanism, a novel biological model was proposed using a partial differential equation that incorporates spatial radiation dose distribution as a patient-specific treatment information variable. A 7-layer encoder-decoder-based convolutional neural network (CNN) was designed and trained to learn the proposed biological model. As such, the model could generate post-radiation 18FDG-PET image outcome predictions with breakdown biological components for enhanced explainability. The proposed method was developed using 64 oropharyngeal patients with paired 18FDG-PET studies before and after 20-Gy delivery (2 Gy/day fraction) by intensity-modulated radiotherapy (IMRT). In a two-branch deep learning execution, the proposed CNN learns specific terms in the biological model from paired 18FDG-PET images and spatial dose distribution in one branch, and the biological model generates post-20-Gy 18FDG-PET image prediction in the other branch. As in 2D execution, 718/233/230 axial slices from 38/13/13 patients were used for training/validation/independent test. The prediction image results in test cases were compared with the ground-truth results quantitatively. RESULTS: The proposed method successfully generated post-20-Gy 18FDG-PET image outcome prediction with breakdown illustrations of biological model components. Standardized uptake value (SUV) mean values in 18FDG high-uptake regions of predicted images (2.45 ± 0.25) were similar to ground-truth results (2.51 ± 0.33). In 2D-based Gamma analysis, the median/mean Gamma Index (<1) passing rate of test images was 96.5%/92.8% using the 5%/5 mm criterion; such result was improved to 99.9%/99.6% when 10%/10 mm was adopted. CONCLUSION: The developed biologically guided deep learning method achieved post-20-Gy 18FDG-PET image outcome predictions in good agreement with ground-truth results. With the breakdown biological modeling components, the outcome image predictions could be used in adaptive radiotherapy decision-making to optimize personalized plans for the best outcome in the future.
MLA Citation
Ji, Hangjie, et al. “Post-Radiotherapy PET Image Outcome Prediction by Deep Learning Under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application.” Front Oncol, vol. 12, 2022, p. 895544. Pubmed, doi:10.3389/fonc.2022.895544.
URI
https://scholars.duke.edu/individual/pub1523882
PMID
35646643
Source
pubmed
Published In
Frontiers in Oncology
Volume
12
Published Date
Start Page
895544
DOI
10.3389/fonc.2022.895544
A systematic review on sinonasal mixed adenoneuroendocrine carcinoma.
MLA Citation
Issa, Khalil, et al. “A systematic review on sinonasal mixed adenoneuroendocrine carcinoma.” Int Forum Allergy Rhinol, vol. 11, no. 9, Sept. 2021, pp. 1391–94. Pubmed, doi:10.1002/alr.22811.
URI
https://scholars.duke.edu/individual/pub1483114
PMID
34013656
Source
pubmed
Published In
Int Forum Allergy Rhinol
Volume
11
Published Date
Start Page
1391
End Page
1394
DOI
10.1002/alr.22811
Chemotherapy and radiotherapy in locally advanced head and neck cancer: an individual patient data network meta-analysis.
BACKGROUND: Randomised, controlled trials and meta-analyses have shown the survival benefit of concomitant chemoradiotherapy or hyperfractionated radiotherapy in the treatment of locally advanced head and neck cancer. However, the relative efficacy of these treatments is unknown. We aimed to determine whether one treatment was superior to the other. METHODS: We did a frequentist network meta-analysis based on individual patient data of meta-analyses evaluating the role of chemotherapy (Meta-Analysis of Chemotherapy in Head and Neck Cancer [MACH-NC]) and of altered fractionation radiotherapy (Meta-Analysis of Radiotherapy in Carcinomas of Head and Neck [MARCH]). Randomised, controlled trials that enrolled patients with non-metastatic head and neck squamous cell cancer between Jan 1, 1980, and Dec 31, 2016, were included. We used a two-step random-effects approach, and the log-rank test, stratified by trial to compare treatments, with locoregional therapy as the reference. Overall survival was the primary endpoint. The global Cochran Q statistic was used to assess homogeneity and consistency and P score to rank treatments (higher scores indicate more effective therapies). FINDINGS: 115 randomised, controlled trials, which enrolled patients between Jan 1, 1980, and April 30, 2012, yielded 154 comparisons (28 978 patients with 19 253 deaths and 20 579 progression events). Treatments were grouped into 16 modalities, for which 35 types of direct comparisons were available. Median follow-up based on all trials was 6·6 years (IQR 5·0-9·4). Hyperfractionated radiotherapy with concomitant chemotherapy (HFCRT) was ranked as the best treatment for overall survival (P score 97%; hazard ratio 0·63 [95% CI 0·51-0·77] compared with locoregional therapy). The hazard ratio of HFCRT compared with locoregional therapy with concomitant chemoradiotherapy with platinum-based chemotherapy (CLRTP) was 0·82 (95% CI 0·66-1·01) for overall survival. The superiority of HFCRT was robust to sensitivity analyses. Three other modalities of treatment had a better P score, but not a significantly better HR, for overall survival than CLRTP (P score 78%): induction chemotherapy with taxane, cisplatin, and fluorouracil followed by locoregional therapy (ICTaxPF-LRT; 89%), accelerated radiotherapy with concomitant chemotherapy (82%), and ICTaxPF followed by CLRT (80%). INTERPRETATION: The results of this network meta-analysis suggest that further intensifying chemoradiotherapy, using HFCRT or ICTaxPF-CLRT, could improve outcomes over chemoradiotherapy for the treatment of locally advanced head and neck cancer. FUNDINGS: French Institut National du Cancer, French Ligue Nationale Contre le Cancer, and Fondation ARC.
Authors
Petit, C; Lacas, B; Pignon, J-P; Le, QT; Grégoire, V; Grau, C; Hackshaw, A; Zackrisson, B; Parmar, MKB; Lee, J-W; Ghi, MG; Sanguineti, G; Temam, S; Cheugoua-Zanetsie, M; O'Sullivan, B; Posner, MR; Vokes, EE; Cruz Hernandez, JJ; Szutkowski, Z; Lartigau, E; Budach, V; Suwiński, R; Poulsen, M; Kumar, S; Ghosh Laskar, S; Mazeron, J-J; Jeremic, B; Simes, J; Zhong, L-P; Overgaard, J; Fortpied, C; Torres-Saavedra, P; Bourhis, J; Aupérin, A; Blanchard, P; MACH-NC and MARCH Collaborative Groups,
MLA Citation
Petit, Claire, et al. “Chemotherapy and radiotherapy in locally advanced head and neck cancer: an individual patient data network meta-analysis.” Lancet Oncol, vol. 22, no. 5, May 2021, pp. 727–36. Pubmed, doi:10.1016/S1470-2045(21)00076-0.
URI
https://scholars.duke.edu/individual/pub1483637
PMID
33862002
Source
pubmed
Published In
Lancet Oncol
Volume
22
Published Date
Start Page
727
End Page
736
DOI
10.1016/S1470-2045(21)00076-0
Adjuvant Radiation Therapy for Clinical Stage III Melanoma in the Modern Therapeutic Era.
BACKGROUND: Adjuvant radiation therapy (RT) can decrease lymph node basin (LNB) recurrences in patients with clinically evident melanoma lymph node (LN) metastases following lymphadenectomy, but its role in the era of modern systemic therapies (ST), immune checkpoint or BRAF/MEK inhibitors, is unclear. PATIENTS AND METHODS: Patients at four institutions who underwent lymphadenectomy (1/1/2010-12/31/2019) for clinically evident melanoma LN metastases and received neoadjuvant and/or adjuvant ST with RT, or ST alone, but met indications for RT, were identified. Comparisons were made between ST alone and ST/RT groups. The primary outcome was 3-year cumulative incidence (CI) of LNB recurrence. Secondary outcomes included 3-year incidences of in-transit/distant recurrence and survival estimates. RESULTS: Of 98 patients, 76 received ST alone and 22 received ST/RT. Median follow-up time for patients alive at last follow-up was 44.6 months. The ST/RT group had fewer inguinal node metastases (ST 36.8% versus ST/RT 9.1%; P = 0.04), and more extranodal extension (ST 50% versus ST/RT 77.3%; P = 0.02) and positive lymphadenectomy margins (ST 2.6% versus ST/RT 13.6%; P = 0.04). The 3-year CI of LNB recurrences was lower for the ST/RT group compared with the ST group (13.9% versus 25.2%), but this reduction was not statistically significant (P = 0.36). Groups did not differ significantly in in-transit/distant recurrences (P = 0.24), disease-free survival (P = 0.14), or melanoma-specific survival (P = 0.20). CONCLUSIONS: In the era of modern ST, RT may still have value in reducing LNB recurrences in melanoma with clinical LN metastases. Further research should focus on whether select patient populations derive benefit from combination therapy, and optimizing indications for RT following neoadjuvant ST.
Authors
Straker, RJ; Song, Y; Sun, J; Shannon, AB; Cohen, LS; Muradova, E; Daou, H; Krause, K; Li, S; Frederick, DT; Rhodin, KE; Brizel, DM; Boland, GM; Beasley, GM; Wuthrick, EJ; Sondak, VK; Zager, JS; Lin, A; Lukens, JN; Karakousis, GC
MLA Citation
Straker, Richard J., et al. “Adjuvant Radiation Therapy for Clinical Stage III Melanoma in the Modern Therapeutic Era.” Ann Surg Oncol, vol. 28, no. 7, July 2021, pp. 3512–21. Pubmed, doi:10.1245/s10434-020-09384-8.
URI
https://scholars.duke.edu/individual/pub1465205
PMID
33230747
Source
pubmed
Published In
Annals of Surgical Oncology
Volume
28
Published Date
Start Page
3512
End Page
3521
DOI
10.1245/s10434-020-09384-8

Leonard Prosnitz Distinguished Professor of Radiation Oncology
Contact:
05135 Morris Bldg, Durham, NC 27710
Box 3085 Med Ctr, Durham, NC 27710