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Fecci, Peter E

0000-0002-2912-8695

Mayo Clinic

Department of Immunology, Duke University, Durham, NC, USA.

Citations 4

Predicting therapeutic clinical trial enrollment for adult patients with low- and high-grade glioma using supervised machine learning
Mehari, Mulki , Warrier, Gayathri , Dada, Abraham , Kabir, Aymen , Haskell-Mendoza, Aden , Tripathy, Arushi , Jha, Rohan , Nieblas‐Bedolla, Edwin , Jackson, Joshua , Gonzalez, Ariel T , Reason, Ellery , Flusché, Ann Marie , Reihl, Sheantel , Dalton, Tara , Negussie, Mikias , Gonzales, Cesar Nava, Ambati, Vardhaan , Desjardins, Annick , Krishna, Saritha, Chang, Susan M. , Porter, Alyx B. , Fecci, Peter E. , Hollon, Todd , Chukwueke, Ugonma , Badal, Kimberly , Molinaro, Annette M. , Hervey‐Jumper, Shawn L. , Haskell-Mendoza, Aden P , Reason, Ellery H , Ambati, Vardhaan , Krishna, Saritha , Porter, Alyx , Hollon, Todd , Chukwueke, Ugonma N , Badal, Kimberly , Molinaro, Annette M. , Hervey-Jumper, Shawn L , Reihl, Sheantel J , Fecci, Peter E , Desjardins, Annick , Daniel, Andy G. S.

Science Advances | June 11, 2025 | Volume: 11 | Issue: 23 | Pages: No page available

10.1126/sciadv.adt5708 Get It

Therapeutic clinical trial enrollment does not match glioma incidence across demographics. Traditional statistical methods have identified independent predictors of trial enrollment; however, our understanding of the interactions between these factors remains limited. To test the interactive effects of demographic, socioeconomic, and oncologic variables on trial enrollment, we designed boosted neural networks (BNNs) for all glioma patients ( n = 1042), women ( n = 445, 42.7%), and minorities ( n = 151, 14.5%) and externally validated these models [whole cohort, n = 230; women, n = 89 (38.7%); minority, n = 66 (28.7%)]. For the whole-cohort BNN, the most influential variables on enrollment were oncologic variables, including KPS [total effect (TE), 0.327], chemotherapy (TE, 0.326), tumor location (TE, 0.322), and seizures (TE, 0.239). The women-only BNN exhibited a similar trend. Conversely, for the minority-only BNN, socioeconomic variables [insurance status (TE, 0.213), occupation classification (TE, 0.204), and employment status (TE, 0.150)] were most influential. These results may help prioritize patient-specific initiatives to increase accrual.
Systemic immune derangements are shared across various CNS pathologies and reflect novel mechanisms of immune privilege
Hoyt-Miggelbrink, Alexandra, Tritz, Zachariah Peter , Edwards, Ryan , Johnson, Aaron J. , Fecci, Peter E. , Ayasoufi, Katayoun , Tritz, Zachariah P. , Wolf, Delaney M. , Fecci, Peter E , Ayasoufi, Katayoun , Lorrey, Selena , Polania, Jessica Waibl , Wachsmuth, Lucas P. , Hoyt-Miggelbrink, Alexandra M. , Johnson, Aaron J.

Neuro-Oncology Advances | April 11, 2023 | Volume: 5 | Issue: 1 | Pages: No page available

10.1093/noajnl/vdad035 Get It

AbstractBackgroundThe nervous and immune systems interact in a reciprocal manner, both under physiologic and pathologic conditions. Literature spanning various CNS pathologies including brain tumors, stroke, traumatic brain injury and de-myelinating diseases describes a number of associated systemic immunologic changes, particularly in the T-cell compartment. These immunologic changes include severe T-cell lymphopenia, lymphoid organ contraction, and T-cell sequestration within the bone marrow.MethodsWe performed an in-depth systematic review of the literature and discussed pathologies that involve brain insults and systemic immune derangements.ConclusionsIn this review, we propose that the same immunologic changes hereafter termed ‘systemic immune derangements’, are present across CNS pathologies and may represent a novel, systemic mechanism of immune privilege for the CNS. We further demonstrate that systemic immune derangements are transient when associated with isolated insults such as stroke and TBI but persist in the setting of chronic CNS insults such as brain tumors. Systemic immune derangements have vast implications for informed treatment modalities and outcomes of various neurologic pathologies.
Racial disparities in inpatient clinical presentation, treatment, and outcomes in brain metastasis
McCray, Edwin , Waguia, Romaric, Price, Meghan , Williamson, Theresa , Dalton, Tara , Sciubba, Daniel M. , Yassari, Reza , Goodwin, Andrea N. , Fecci, Peter E. , Johnson, Margaret , Chaichana, Kaisorn L. , Dalton, Tara , Chaichana, Kaisorn, Fecci, Peter E , Ramos, Rafael De la Garza , Goodwin, C. Rory

Neuro-Oncology Practice | July 31, 2022 | Volume: 10 | Issue: 1 | Pages: 62-70

10.1093/nop/npac061 Get It

Abstract Background Few studies have assessed the impact of race on short-term patient outcomes in the brain metastasis population. The goal of this study is to evaluate the association of race with inpatient clinical presentation, treatment, in-hospital complications, and in-hospital mortality rates for patients with brain metastases (BM). Method Using data collected from the National Inpatient Sample between 2004 and 2014, we retrospectively identified adult patients with a primary diagnosis of BM. Outcomes included nonroutine discharge, prolonged length of stay (pLOS), in-hospital complications, and mortality. Results Minority (Black, Hispanic/other) patients were less likely to receive surgical intervention compared to White patients (odds ratio [OR] 0.70; 95% confidence interval [CI] 0.66–0.74, p < 0.001; OR 0.88; 95% CI 0.84–0.93, p < 0.001). Black patients were more likely to develop an in-hospital complication than White patients (OR 1.35, 95% CI 1.28–1.41, p < 0.001). Additionally, minority patients were more likely to experience pLOS than White patients (OR 1.48; 95% CI 1.41–1.57, p < 0.001; OR 1.34; 95% CI 1.27–1.42, p < 0.001). Black patients were more likely to experience a nonroutine discharge (OR 1.25; 95% CI 1.19–1.31, p < 0.001) and higher in-hospital mortality than White (OR 1.13; 95% CI 1.03–1.23, p = 0.008). Conclusion Our analysis demonstrated that race is associated with disparate short-term outcomes in patients with BM. More efforts are needed to address these disparities, provide equitable care, and allow for similar outcomes regardless of care.
Efficacy of laser interstitial thermal therapy (LITT) for newly diagnosed and recurrent IDH wild-type glioblastoma
Prabhu, Sujit S. , Rao, Ganesh , Laxton, Adrian W. , Fecci, Peter E. , O’Brien, Barbara , Sloan, Andrew E. , Chiang, Veronica , Mohammadi, Alireza M. , Chen, Clark, Sun, David, Sinicrope, Kaylyn, Campian, Jian , Kurz, Sylvia C. , Smith, Kris A. , Tovar-Spinoza, Zulma , Leuthardt, Eric C. , Khasraw, Mustafa , Fecci, Peter E , Groot, John de , Kim, Albert H. , Tatter, Stephen B. , Placantonakis, Dimitris G. , Strowd, Roy E. , Hadjipanayis, Costas G. , Khasraw, Mustafa , Piccioni, David Eric , Williams, Brian J.

Neuro-Oncology Advances | April 6, 2022 | Volume: 4 | Issue: 1 | Pages: No page available

10.1093/noajnl/vdac040 Get It

Abstract Background Treatment options for unresectable new and recurrent glioblastoma remain limited. Laser ablation has demonstrated safety as a surgical approach to treating primary brain tumors. The LAANTERN prospective multicenter registry (NCT02392078) data were analyzed to determine clinical outcomes for patients with new and recurrent IDH wild-type glioblastoma. Methods Demographics, intraprocedural data, adverse events, KPS, health economics, and survival data were prospectively collected and then analyzed on IDH wild-type newly diagnosed and recurrent glioblastoma patients who were treated with laser ablation at 14 US centers between January 2016 and May 2019. Data were monitored for accuracy. Statistical analysis included individual variable summaries, multivariable differences in survival, and median survival numbers. Results A total of 29 new and 60 recurrent IDH wild-type WHO grade 4 glioblastoma patients were treated. Positive MGMT promoter methylation status was present in 5/29 of new and 23/60 of recurrent patients. Median physician-estimated extent of ablation was 91%-99%. Median overall survival (OS) was 9.73 months (95% confidence interval: 5.16, 15.91) for newly diagnosed patients and median post-procedure survival was 8.97 months (6.94, 12.36) for recurrent patients. Median OS for newly diagnosed patients receiving post-LITT chemo/radiation was 16.14 months (6.11, not reached). Factors associated with improved survival were MGMT promoter methylation, adjuvant chemotherapy within 12 weeks, and tumor volume <3 cc. Conclusions Laser ablation is a viable option for patients with new and recurrent glioblastoma. Median OS for IDH wild-type newly diagnosed glioblastoma is comparable to outcomes observed in other tumor resection studies when those patients undergo radiation and chemotherapy following LITT.