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Contouring with FLAIR: Targeting Peritumoral Edema (and Beyond) in Glioblastoma [Editorial]

Karp, Jerome M; Kruser, Tim J
PMID: 40089338
ISSN: 1879-355x
CID: 5812862

Deconvolution of the tumor-educated platelet transcriptome reveals activated platelet and inflammatory cell transcript signatures

Karp, Jerome M; Modrek, Aram S; Ezhilarasan, Ravesanker; Zhang, Ze-Yan; Ding, Yingwen; Graciani, Melanie; Sahimi, Ali; Silvestro, Michele; Chen, Ting; Li, Shuai; Wong, Kwok-Kin; Ramkhelawon, Bhama; Bhat, Krishna Pl; Sulman, Erik P
Tumor-educated platelets (TEPs) are a potential method of liquid biopsy for the diagnosis and monitoring of cancer. However, the mechanism underlying tumor education of platelets is not known, and transcripts associated with TEPs are often not tumor-associated transcripts. We demonstrated that direct tumor transfer of transcripts to circulating platelets is an unlikely source of the TEP signal. We used CDSeq, a latent Dirichlet allocation algorithm, to deconvolute the TEP signal in blood samples from patients with glioblastoma. We demonstrated that a substantial proportion of transcripts in the platelet transcriptome are derived from nonplatelet cells, and the use of this algorithm allows the removal of contaminant transcripts. Furthermore, we used the results of this algorithm to demonstrate that TEPs represent a subset of more activated platelets, which also contain transcripts normally associated with nonplatelet inflammatory cells, suggesting that these inflammatory cells, possibly in the tumor microenvironment, transfer transcripts to platelets that are then found in circulation. Our analysis suggests a useful and efficient method of processing TEP transcriptomic data to enable the isolation of a unique TEP signal associated with specific tumors.
PMCID:11466191
PMID: 39190500
ISSN: 2379-3708
CID: 5705692

Impact of Titanium Plate Reconstruction and Dental Amalgam on Risk of Osteoradionecrosis in Oral Cavity Cancer Patients Receiving Intensity Modulated Radiation Therapy [Meeting Abstract]

Shah, A.; Oh, C.; Karp, J. M.; Xiao, J.; Moses, L.; Duvvuri, U.; Hill, C.; Jacobson, A.; Tran, T.; Persky, M.; Li, Z.; Schmidt, B.; Byun, D. J.; Hu, K. S.
ISI:001325892302406
ISSN: 0360-3016
CID: 5765982

Pathologic Features, Treatment, and Clinical Outcomes of Lacrimal Gland Cancer

Karp, Jerome M; Gordon, Alex J; Hu, Kenneth; Belinsky, Irina; Jacobson, Adam; Li, Zujun; Persky, Michael; Persky, Mark; Givi, Babak; Tam, Moses M
OBJECTIVES/OBJECTIVE:Lacrimal gland cancer is a rare malignancy with little data known about its pathologic characteristics or optimal management. We performed a large database analysis using the National Cancer Database (NCDB) to elucidate this unusual condition. METHODS:Patients with lacrimal gland cancer diagnosed between 2004 and 2018 were included in the analysis. Using available clinical data, we excluded all patients with histologies likely reflective of lacrimal sac or duct cancer, which are coded similarly to lacrimal gland cancer in the NCDB. Kaplan-Meier analysis was used to estimate overall survival (OS), and Cox proportional hazards models were used to indicate covariates associated with survival. RESULTS:A total of 440 cases of lacrimal gland cancer were included in the analysis, with a median follow-up of 52.9 months. The five-year OS for the entire cohort was 65.0%. Adenoid cystic carcinoma was the predominant histology (47.3%). Cox models showed that improved OS was associated with surgical resection (UVA: p < 0.001; MVA: p = 0.035). A detriment in OS was associated with increasing age, Charlson-Deyo score of 1, T4 stage, and positive margins and on UVA for adenocarcinoma and malignant mixed tumor histology. CONCLUSION/CONCLUSIONS:Adenoid cystic carcinoma comprises the plurality of lacrimal gland cancers. About half of patients with lacrimal gland carcinoma will live beyond 10 years, underscoring the importance of reduced morbidity of treatment. Surgical management is associated with improved prognosis. Further study will elucidate the role of surgical excision and radiotherapy in lacrimal gland cancer.
PMCID:10544231
PMID: 37791145
ISSN: 2168-8184
CID: 5735832

Regional nodal irradiation (RNI) in breast cancer patients with residual isolated tumor cells or micrometastatic nodal disease after neoadjuvant chemotherapy

Kim, Joseph K; Karp, Jerome M; Gerber, Naamit K
BACKGROUND/PURPOSE/UNASSIGNED:The optimal management of residual micrometastases and isolated tumor cells (ITC) in patients with invasive breast cancer who undergo neoadjuvant chemotherapy (NAC) followed by definitive surgery is not well-studied. We evaluated the role of regional nodal irradiation (RNI) in clinically node-positive (cN1) breast cancer patients with residual low-volume nodal disease following NAC. METHODS/MATERIALS/UNASSIGNED:We queried the National Cancer Database (NCDB) and included patients with cN1 invasive breast cancer diagnosed from 2004 to 2016 who were treated with NAC and definitive surgery and had residual micrometastases (ypN1mi) or ITC (ypN0i+). We used univariable (UVA) and multivariable (MVA) Cox regression analyses to determine prognostic factors and Kaplan-Meier (KM) methods to evaluate overall survival (OS). We used inverse probability treatment weighting (IPTW) to reweight data to account for confounding factors. RESULTS/UNASSIGNED:Our final cohort included 1980 patients, including 527 patients with ypN0i + disease and 1453 patients with ypN1mi disease. 1101 patients (45.0%) received RNI in the overall cohort with a higher proportion of ypN1mi patients receiving RNI (56.5%) compared to 53.1% of ypN0i + patients. There was no significant difference in OS between ypN0i + and ypN1mi patients. RNI had no significant effect on OS in the overall cohort using Cox MVA and KM methods. With separate subset analysis of ypN0i + and ypN1mi patients, there was no significant effect of RNI on OS. This was confirmed with IPTW. CONCLUSIONS/UNASSIGNED:In a national hospital-based study of cN1 invasive breast cancer patients with residual ITC or micrometastases after NAC, RNI did not have a significant effect on OS.
PMCID:9720231
PMID: 36479237
ISSN: 2405-6308
CID: 5383102

The Radiation Ontologist Will See You Now: Reflections on Fitting in Grammatically and Professionally

Karp, Jerome M
PMID: 36084867
ISSN: 1879-8519
CID: 5526612

A Phase II Trial Evaluating Rapid Mid-Treatment Nodal Shrinkage to Select for Adaptive Deescalation in p16+Oropharyngeal Cancer Patients Undergoing Definitive Chemoradiation [Meeting Abstract]

Kim, J. K.; Tam, M.; Karp, J. M.; Oh, C.; Kim, G.; Solomon, E.; Concert, C. M.; Vaezi, A. E.; Li, Z.; Tran, T.; Zan, E.; Corby, P.; Feron-Rigodon, M.; Fitz, C. Del Vecchio; Goldberg, J. D.; Hochman, T.; Givi, B.; Jacobson, A.; Persky, M.; Hu, K. S.
ISI:001079706803134
ISSN: 0360-3016
CID: 5591182

Pulmonary Toxic Effects After Myeloablative Conditioning With Total Body Irradiation Delivered via Volumetric Modulated Arc Therapy With Fludarabine

Modrek, Aram S; Karp, Jerome M; Byun, David; Gerber, Naamit K; Abdul-Hay, Maher; Al-Homsi, Ahmad Samer; Galavis, Paulina; Teruel, Jose; Yuan, Ye
We present the case of a 56-year-old female with a diagnosis of acute T-cell lymphoblastic leukemia who received myeloablative conditioning for bone marrow transplant with total body irradiation (TBI) using volumetric modulated arc therapy (VMAT) to the upper body and anterior-posterior/posterior-anterior (AP/PA) open fields to the lower body followed by hematopoietic stem cell transplant. Her clinical course was complicated by high-grade pulmonary toxic effects 55 days after treatment that resulted in death. We discuss the case, planning considerations by radiation oncologists and radiation physicists, and the multidisciplinary medical management of this patient.
PMID: 35598860
ISSN: 1879-8519
CID: 5275182

Disparities in the uptake of telemedicine and implications for clinical trial enrollment in breast cancer patients

Hardy-Abeloos, Camille; Karp, Jerome; Xiao, Julie; Oh, Cheongeun; Barbee, David; Maisonet, Olivier; Gerber, Naamit
PURPOSE/OBJECTIVES/OBJECTIVE:Since the COVID-19 pandemic, telemedicine has emerged as an alternative to office visits in routine radiation oncology practice. The purpose of this study was to identify factors associated with patient preference for an initial consult via telemedicine and correlation with clinical trial enrollment. MATERIALS/METHODS/METHODS:We evaluated breast cancer patients seen during the open enrollment of a prospective randomized trial from 06/01/2020 to 05/13/2021. Univariate and multivariate logistic regression models were used to identify factors associated with virtual vs in-person initial consultation. All statistical tests were two-sided and the null hypothesis was rejected for p<0.05. RESULTS:We identified 476 patient consultations with 259 office visits and 217 telemedicine visits. On multivariate analysis, increased age, unemployment, chemotherapy receipt and radiation at our institution were associated with decreased usage of telemedicine for consultation visit. Out of 217 patients who underwent a telemedicine initial consultation, 10% were eligible to enroll on the trial and of those eligible, 76% enrolled. Out of 259 patients who underwent office visit initial consultation, 14% were eligible to enroll on the trial and of those eligible, 53% enrolled. Among eligible patients, there was no statistically significant difference in clinical trial enrollment between telemedicine and office visits. CONCLUSION/CONCLUSIONS:Older patients, unemployed patients, those receiving chemotherapy and those who subsequently received radiation at our institution were less likely to use telemedicine for their initial consult. Despite these disparities in telemedicine usage, there was no difference in clinical trial enrollment. Telemedicine may be an effective platform for clinical trial enrollment though further strategies to improve its access are essential.
PMCID:9584760
PMID: 36273521
ISSN: 1879-355x
CID: 5359182

DNA methylation-based epigenetic signatures predict somatic genomic alterations in gliomas

Yang, Jie; Wang, Qianghu; Zhang, Ze-Yan; Long, Lihong; Ezhilarasan, Ravesanker; Karp, Jerome M; Tsirigos, Aristotelis; Snuderl, Matija; Wiestler, Benedikt; Wick, Wolfgang; Miao, Yinsen; Huse, Jason T; Sulman, Erik P
Molecular classification has improved diagnosis and treatment for patients with malignant gliomas. However, classification has relied on individual assays that are both costly and slow, leading to frequent delays in treatment. Here, we propose the use of DNA methylation, as an emerging clinical diagnostic platform, to classify gliomas based on major genomic alterations and provide insight into subtype characteristics. We show that using machine learning models, DNA methylation signatures can accurately predict somatic alterations and show improvement over existing classifiers. The established Unified Diagnostic Pipeline (UniD) we develop is rapid and cost-effective for genomic alterations and gene expression subtypes diagnostic at early clinical phase and improves over individual assays currently in clinical use. The significant relationship between genetic alteration and epigenetic signature indicates broad applicability of our approach to other malignancies.
PMCID:9338285
PMID: 35906213
ISSN: 2041-1723
CID: 5277052