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Diehn, Maximilian

https://orcid.org/0000-0003-2032-0581

Mayo Clinic

Stanford Cancer Institute

Citations 3

Integrating ctDNA Analysis and Radiomics for Dynamic Risk Assessment in Localized Lung Cancer
Moding, Everett J. , Esfahani, Mohammad Shahrokh , Jin, Cheng , Hui, Angela B. , Nabet, Barzin Y. , Liu, Yufei , Chabon, Jacob J. , Binkley, Michael S. , Kurtz, David M. , Hamilton, Emily G. , Chaudhuri, Aadel A. , Liu, Chih Long , Bonilla, Rene F., Jiang, Alice L. , Lau, Brianna , Lopez, Pablo , He, Jianzhong, Qiao, Yawei, Yao, Luyang , Gandhi, Saumil , Das, Millie , Ramchandran, Kavitha , Padda, Sukhmani K. , Neal, Joel W. , Wakelee, Heather A. , Li, Ruijiang , Alizadeh, Ash A. , Shahrokh Esfahani, Mohammad , Li, Zhe , Bonilla, Rene F , Jiang, Alice L , Lau, Brianna C , Lopez, Pablo , He, Jianzhong , Qiao, Yawei , Xu, Ting , Yao, Luyang , Gandhi, Saumil , Liao, Zhongxing , Das, Millie , Ramchandran, Kavitha J , Padda, Sukhmani K , Neal, Joel W , Wakelee, Heather A , Gensheimer, Michael F , Loo, Billy W , Li, Ruijiang , Lin, Steven H , Alizadeh, Ash A , Diehn, Maximillian , Binkley, Michael Sargent , Kurtz, David M , Loo, Billy W. , Lin, Steven H. , Diehn, Maximilian

Cancer Discovery | April 29, 2025 | Volume: 15 | Issue: 8 | Pages: 1609-1629

10.1158/2159-8290.cd-24-1704 Get It

Abstract The complementarity and clinical utility of combining liquid biopsies and radiomic image analysis has not been demonstrated. ctDNA minimal residual disease after chemoradiotherapy (CRT) for non–small cell lung cancer (NSCLC) is highly prognostic, but on-treatment biomarkers are needed to enable response-adapted therapies. In this study, we analyzed 418 patients with NSCLC undergoing CRT to develop and validate a novel dynamic risk model that accurately predicts ultimate progression-free survival during treatment. We optimize tissue-free variant calling from plasma samples to facilitate ctDNA monitoring and demonstrate the importance of accounting for persistent clonal hematopoiesis variants. We show that mid-CRT ctDNA concentration is prognostic for disease progression and integrate additional pre-CRT risk factors, including radiomics, into a combined model that improves outcome prediction. Our results suggest that tumor features, radiomics, and mid-CRT ctDNA analysis are complementary and can identify patients at high and low risk of progression to potentially enable response-adapted therapies. Significance: This study demonstrates that combining tumor features, radiomics, and ctDNA analysis improves outcome prediction in NSCLC treated with CRT therapy. Our integrated model could enable personalized and response-adapted therapies to reduce toxicity and improve outcomes in patients. See related commentary by Anagnostou and Aggarwal, p. 1534
Association between Locoregional Failure and NFE2L2/KEAP1/CUL3 Mutations in NRG/RTOG 9512: A Randomized Trial of Radiation Fractionation in T2N0 Glottic Cancer
Guan, Li , Torres‐Saavedra, Pedro A. , Zhao, Xiaobei , Major, Michael B. , Holmes, Brittany , Nguyen, Ngan K. , Kumaravelu, Parasakthy , Hodge, Tim , Diehn, Maximilian , Zevallos, Jose P. , Emami, Bahman, Hayward, Michele C. , Sagar, Stephen M. , Morrison, William H. , Schultz, Christopher J. , Jones, Christopher U. , Galloway, Thomas J. , Yom, Sue S. , Kudrimoti, Mahesh , Kim, Harold E., Harris, Jonathan , Le, Quynh‐Thu , Holmes, Brittany J , Zevallos, Jose , Holsinger, F Chris , Emami, Bahman , Jordan, Richard C , Hayward, Michele C , Sagar, Stephen M , Morrison, William , Schultz, Christopher , Caudell, Jimmy J , Jones, Christopher U , Bratman, Scott V , Galloway, Thomas J , Ma, Daniel , Yom, Sue S , Kudrimoti, Mahesh , Kim, Harold E , Harris, Jonathan , Le, Quynh-Thu , Hayes, D Neil , Diehn, Maximillian , Holsinger, F. Christopher , Daniel, J.

Clinical Cancer Research | December 10, 2024 | Volume: 31 | Issue: 9 | Pages: 1615-1624

10.1158/1078-0432.ccr-24-2334 Get It

Abstract Purpose: NFE2L2/KEAP1/CUL3 mutations have been validated for radioresistance in cell-based assays and animal models. However, clinical validation of these biomarkers has been challenging because of multimodality treatment regimens. This study aims to investigate the association between NFE2L2/KEAP1/CUL3 mutations and patient outcomes, including local failure, locoregional failure, disease-free survival (DFS), and overall survival, using samples from a phase III trial in which patients were treated with radiation monotherapy at two controlled doses. Patients and Methods: We investigated NFE2L2/KEAP1/CUL3 mutations in 250 randomized patients with T2N0 glottic squamous cell carcinoma receiving definitive radiotherapy in the NRG/RTOG 9512 trial. A total of 119 patients had available biospecimens that were subjected to amplicon-based next-generation sequencing to assess for the presence of NFE2L2/KEAP1/CUL3 mutations without regard to outcomes. Mutations in NFE2L2/KEAP1/CUL3 were assessed blinded to clinical outcomes. Cox models (two-sided α = 0.05) were used to evaluate the association with clinical outcomes, performed by an independent statistical team. Results: Nineteen of 119 patients (16.0%) had NFE2L2/KEAP1/CUL3 mutations. Patient, treatment, and tumor characteristics were similar between those with and without mutations. Patients with mutation compared with those without had significantly more local failure [HR = 3.50; 95% confidence interval (CI), 1.56–7.89; P = 0.0025] and locoregional failure (HR = 3.80; 95% CI, 1.80–8.03; P = 0.0005). DFS was significantly worse for the mutated compared with the nonmutated group in the first 2 years (HR = 2.88; 95% CI, 1.46–5.66; P = 0.0022). The median DFS was shorter in the mutation group (10.3 months) versus those with intact NFE2L2/KEAP1/CUL3 (4.2 years). Conclusions: NFE2L2/KEAP1/CUL3 mutations may predict radiation treatment failure in T2N0 glottic cancer. See related commentary by Rao, p. 1563
American Society of Clinical Oncology Road to Recovery Report: Learning From the COVID-19 Experience to Improve Clinical Research and Cancer Care
Dillmon, Melissa S., Levit, Laura A. , Moushey, E. Allyn, Alva, Ajjai , Blau, Sibel , Dickson, Natalie R. , Gönen, Mithat , González, Maria Magdalena, Hensold, Jack O. , Hinyard, Leslie , King, Tari A. , Lindsey, Stacie , Magnuson, Allison , Marron, Jonathan M. , Mcaneny, Barbara , McDonnell, Theresa Margaret, Nasso, S, Nowakowski, Grzegorz S. , Oettel, Kurt R., Patel, Manali I. , Patt, Debra A. , Perlmutter, Jane , Pickard, Todd , Rodriguez, Gladys , Rosenberg, Abby R. , Russo, Barry, Szczepanek, Connie M. , Smith, Cardinale B. , Teplinsky, Eleonora , Thota, Ramya , Zoň, Robin , Bourbeau, Brian , Foster, Shelagh E., Grubbs, Stephen, Hagerty, Karen L., Hurley, Patricia A. , Kamin, Deborah Y., Phillips, Jonathan , Schilsky, Richard L. , Burris, Howard A. , Hurley, Patricia , Rosenberg, Abby R , Pennell, Nathan A , Cannon, Timothy Lewis , Diehn, Maximilian , Mileham, Kathryn Finch , Srivastava, Piyush, Traina, Tiffany A , Bruinooge, Suanna S. , Schenkel, Caroline

Journal of Clinical Oncology | December 8, 2020 | Volume: 39 | Issue: 2 | Pages: 155-169

10.1200/jco.20.02953 Get It

This report presents the American Society of Clinical Oncology’s (ASCO’s) evaluation of the adaptations in care delivery, research operations, and regulatory oversight made in response to the coronavirus pandemic and presents recommendations for moving forward as the pandemic recedes. ASCO organized its recommendations for clinical research around five goals to ensure lessons learned from the COVID-19 experience are used to craft a more equitable, accessible, and efficient clinical research system that protects patient safety, ensures scientific integrity, and maintains data quality. The specific goals are: (1) ensure that clinical research is accessible, affordable, and equitable; (2) design more pragmatic and efficient clinical trials; (3) minimize administrative and regulatory burdens on research sites; (4) recruit, retain, and support a well-trained clinical research workforce; and (5) promote appropriate oversight and review of clinical trial conduct and results. Similarly, ASCO also organized its recommendations regarding cancer care delivery around five goals: (1) promote and protect equitable access to high-quality cancer care; (2) support safe delivery of high-quality cancer care; (3) advance policies to ensure oncology providers have sufficient resources to provide high-quality patient care; (4) recognize and address threats to clinician, provider, and patient well-being; and (5) improve patient access to high-quality cancer care via telemedicine. ASCO will work at all levels to advance the recommendations made in this report.