Effects of Wildfire Events on California Radiation Oncology Clinics and Patients.

Purpose: The effect of climate-driven events, such as wildfires, on health care delivery and cancer care is a growing concern. Patients with cancer undergoing radiation therapy are particularly vulnerable to treatment interruptions, which have a direct effect on survival. We report the results of a study characterizing the effect of wildfires on radiation oncology clinics and their patients. Methods and Materials: A survey of California radiation oncologists was used to evaluate emergency preparedness and the effect of wildfires on the delivery of radiation therapy services between 2017 and 2022. Descriptive statistics and Pearson's χ2 tests were performed to investigate potential relationships between provider characteristics, practice settings, and perceptions of the effect of wildfire events. California Department of Forestry and Fire Protection data were employed to map the geographic distribution of wildfires to clinic locations. Results: Response rate was 12.3% (51/415 radiation oncologists), representing 25% of clinics (43/176) in 41% (24/58) of California counties. Sixty-one percent (31/51) of respondents reported being affected by a wildfire, 2 of which are rural clinics (100%, 2/2) and 29 are (59%, 29/49) metropolitan practices. Of these, 18% (9/51) reported a clinic closure, and 29% (15/51) reported staffing shortages. Respondents reported effects on patients, including having to evacuate (55%, 28/51), cancel/reschedule treatments (53%, 27/51), and experiencing physical, mental, or financial hardship due to wildfires (45%, 23/51). Respondents described effects on clinical operations, including being forced to transfer patients (24%, 12/51), transportation interruptions (37%, 19/51), regional/community evacuations (35%, 18/51), and physical/mental health effects (27%, 14/51) on clinic personnel. Less than half of the respondents (47%, 24/51) reported their workplace had a wildfire emergency preparedness plan. Additionally, geographic analysis revealed that 100% (176/176) of clinics were located within 25 miles of a wildfire. Conclusions: This study highlights the effects of wildfires on radiation oncology clinics and patients and underscores the need for emergency preparedness planning to minimize the consequences of such disasters.

Radiotherapy Utilization for Patients Over Age 60 With Early Stage Breast Cancer.

INTRODUCTION: Recent studies have questioned the relative benefit of radiotherapy (RT) for older patients with favorable breast cancer given the lack of survival benefit and marginal local control benefit. Despite the 2004 National Comprehensive Cancer Network (NCCN) guidelines advocating for the option of hormonal therapy alone, trends in utilization rates of RT in this group are not well-documented. We analyzed our institutional experience with implementation of the guidelines over time. MATERIAL AND METHODS: We identified 564 patients aged ≥ 60 years with favorable breast cancer treated with breast conserving surgery from 2000 to 2017. Patients met criteria for Cancer and Leukemia Group B (CALGB) 9343, Postoperative Radiotherapy in Minimum Risk Elderly (PRIME II), or the very-low risk cohort identified in the Toronto-British Columbia study. Multivariable logistic regression analysis was performed to assess the magnitude of association between omission status, grade, and tumor size while controlling for age and year of diagnosis. RESULTS: Overall RT omission rates were 17.6% prior to the 2004 NCCN update and 45% after the publication of the 10-year CALGB data in 2013. The overall RT omission rate was 29%. Patients with grade 1 to 2 histology (odds ratio, 3.2; 95% confidence interval, 1.3-7.7; P = .01) and tumors < 1 cm (odds ratio, 1.60; 95% confidence interval, 0.4-0.9; P = .007) were more likely to omit RT than those with higher grade or larger tumors. CONCLUSIONS: We observed a slight decrease in the use of RT over time, suggesting a move towards adoption of the NCCN guidelines. There remains a fundamental need to continue to individualize breast cancer care based on risk stratification and make evidenced-based treatment recommendations with equitable use of health care resources.

Glioblastoma radiomics: can genomic and molecular characteristics correlate with imaging response patterns?

PURPOSE: For glioblastoma (GBM), imaging response (IR) or pseudoprogression (PSP) is frequently observed after chemoradiation and may connote a favorable prognosis. With tumors categorized by the Cancer Genome Atlas Project (mesenchymal, classical, neural, and proneural) and by methylguanine-methyltransferase (MGMT) methylation status, we attempted to determine if certain genomic or molecular subtypes of GBM were specifically associated with IR or PSP. METHODS: Patients with GBM treated at two institutions were reviewed. Kaplan-Meier method was used to estimate overall survival (OS) and progression-free survival (PFS). Mantel-cox test determined effect of IR and PSP on OS and PFS. Fisher's exact test was utilized to correlate IR and PSP with genomic subtypes and MGMT status. RESULTS: Eighty-two patients with GBM were reviewed. The median OS and PFS were 17.9 months and 8.9 months. IR was observed in 28 (40%) and was associated with improved OS (median 29.4 vs 14.5 months p < 0.01) and PFS (median 17.7 vs 5.5 months, p < 0.01). PSP was observed in 14 (19.2%) and trended towards improved PFS (15.0 vs 7.7 months p = 0.08). Tumors with a proneural component had a higher rate of IR compared to those without a proneural component (IR 60% vs 28%; p = 0.03). MGMT methylation was associated with IR (58% vs 24%, p = 0.032), but not PSP (34%, p = 0.10). CONCLUSION: IR is associated with improved OS and PFS. The proneural subtype and MGMT methylated tumors had higher rates of IR.

Patient-Specific Fetal Dose Determination for Multi-Target Gamma Knife Radiosurgery: Computational Model and Case Report.

A 42-year-old woman at 29 weeks gestation via in vitro fertilization who presented with eight metastatic brain lesions received Gamma Knife stereotactic radiosurgery (GKSRS) at our institution. In this study, we report our clinical experience and a general procedure of determining the fetal dose from patient-specific treatment plans and we describe quality assurance measurements to guide the safe practice of multi-target GKSRS of pregnant patients. To estimate fetal dose pre-treatment, peripheral dose-to-focal dose ratios (PFRs) were measured in a phantom at the distance approximating the fundus of uterus. Post-treatment, fetal dose was calculated from the actual patient treatment plan. Quality assurance measurements were carried out via the extrapolation dosimetry method in a head phantom at increasing distances along the longitudinal axis. The measurements were then empirically fitted and the fetal dose was extracted from the curve. The computed and measured fetal dose values were compared with each other and associated radiation risk was estimated. Based on low estimated fetal dose from preliminary phantom measurements, the patient was accepted for GKSRS. Eight brain metastases were treated with prescription doses of 15-19 Gy over 143 min involving all collimator sizes as well as composite sector mixed shots. Direct fetal dose computation based on the actual patient's treatment plan estimated a maximum fetal dose of 0.253 cGy, which was in agreement with surface dose measurements at the level of the patient's uterine fundus during the actual treatment. Later phantom measurements also estimated fetal dose to be in the range of 0.21-0.28 cGy (dose extrapolation curve R2 = 0.998). Using the National Council on Radiation Protection and Measurements (NCRP) population-based model, we estimate the fetal risk of secondary malignancy, which is the primary toxicity after 25 weeks gestation, to be less than 0.01%. Of note, the patient delivered the baby via scheduled cesarean section at 36 weeks without complications attributable to the GKSRS procedure. GKSRS of multiple brain metastases was demonstrated to be safe and feasible during pregnancy. The applicability of a general patient-specific fetal dose determination method was also demonstrated for the first time for such a treatment.

Respiration-Induced Intraorgan Deformation of the Liver: Implications for Treatment Planning in Patients Treated With Fiducial Tracking.

Stereotactic body radiation therapy is a well-tolerated modality for the treatment of primary and metastatic liver lesions, and fiducials are often used as surrogates for tumor tracking during treatment. We evaluated respiratory-induced liver deformation by measuring the rigidity of the fiducial configuration during the breathing cycle. Seventeen patients, with 18 distinct treatment courses, were treated with stereotactic body radiosurgery using multiple fiducials. Liver deformation was empirically quantified by measuring the intrafiducial distances at different phases of respiration. Data points were collected at the 0%, 50%, and 100% inspiration points, and the distance between each pair of fiducials was measured at the 3 phases. The rigid body error was calculated as the maximum difference in the intrafiducial distances. Liver disease was calculated with Child-Pugh score using laboratory values within 3 months of initiation of treatment. A peripheral fiducial was defined as within 1.5 cm of the liver edge, and all other fiducials were classified as central. For 5 patients with only peripheral fiducials, the fiducial configuration had more deformation (average maximum rigid body error 7.11 mm, range: 1.89-11.35 mm) when compared to patients with both central and peripheral and central fiducials only (average maximum rigid body error 3.36 mm, range: 0.5-9.09 mm, P = .037). The largest rigid body errors (11.3 and 10.6 mm) were in 2 patients with Child-Pugh class A liver disease and multiple peripheral fiducials. The liver experiences internal deformation, and the fiducial configuration should not be assumed to act as a static structure. We observed greater deformation at the periphery than at the center of the liver. In our small data set, we were not able to identify cirrhosis, which is associated with greater rigidity of the liver, as predictive for deformation. Treatment planning based only on fiducial localization must take potential intraorgan deformation into account.

Impact of timing of radiotherapy in patients with newly diagnosed glioblastoma.

OBJECTIVE: To further evaluate if a delay in the start of radiation therapy (RT) affects patient outcomes for glioblastoma (GBM). PATIENTS AND METHODS: From May 1999 to May 2010, a total of 161 patients underwent surgery followed by RT for GBM. We assessed overall survival (OS) and progression free survival (PFS), stratified by extent of surgical resection. Included in the analysis were genomic predictors of progression. RESULTS: Median time from surgery to start of RT was 20days for biopsy alone, 28days for subtotal resection (STR) and 28days for gross total resection (GTR). For all patients, a delay >28days did not result in a difference in PFS when compared to no delay (6.7 vs. 6.9 months, p=0.07). PFS was improved in biopsy or STR patients with a >28day delay to start of RT (4.2 vs. 6.7 months, p=0.006). OS was also improved in patients receiving biopsy or STR with a >28day delay to start of RT (12.3 vs. 7.8 months, p=0.005). Multivariable analysis (MVA) demonstrated an improvement in OS and PFS with time to RT >28days for biopsy or STR patients (HR 0.52 p=0.008 and HR 0.48 p=0.02, respectively). CONCLUSION: In this retrospective review of GBM patients treated at a single institution, OS and PFS were not different between time to RT >28days compared to <28 days. There was a modest improvement in both PFS and OS in patients who received biopsy or STR with time to RT >28 days.

Pseudo progression identification of glioblastoma with dictionary learning.

OBJECTIVE: Although the use of temozolomide in chemoradiotherapy is effective, the challenging clinical problem of pseudo progression has been raised in brain tumor treatment. This study aims to distinguish pseudo progression from true progression. MATERIALS AND METHODS: Between 2000 and 2012, a total of 161 patients with glioblastoma multiforme (GBM) were treated with chemoradiotherapy at our hospital. Among the patients, 79 had their diffusion tensor imaging (DTI) data acquired at the earliest diagnosed date of pseudo progression or true progression, and 23 had both DTI data and genomic data. Clinical records of all patients were kept in good condition. Volumetric fractional anisotropy (FA) images obtained from the DTI data were decomposed into a sequence of sparse representations. Then, a feature selection algorithm was applied to extract the critical features from the feature matrix to reduce the size of the feature matrix and to improve the classification accuracy. RESULTS: The proposed approach was validated using the 79 samples with clinical DTI data. Satisfactory results were obtained under different experimental conditions. The area under the receiver operating characteristic (ROC) curve (AUC) was 0.87 for a given dictionary with 1024 atoms. For the subgroup of 23 samples, genomics data analysis was also performed. Results implied further perspective on pseudo progression classification. CONCLUSIONS: The proposed method can determine pseudo progression and true progression with improved accuracy. Laboring segmentation is no longer necessary because this skillfully designed method is not sensitive to tumor location.

Genomic predictors of patterns of progression in glioblastoma and possible influences on radiation field design.

We present a retrospective investigation of the role of genomics in the prediction of central versus marginal disease progression patterns for glioblastoma (GBM). Between August 2000 and May 2010, 41 patients with GBM and gene expression and methylation data available were treated with radiotherapy with or without concurrent temozolomide. Location of disease progression was categorized as within the high dose (60 Gy) or low dose (46 Gy) volume. Samples were grouped into previously described TCGA genomic groupings: Mesenchymal (m), classical (c), proneural (pn), and neural (n); and were also classified by MGMT-Methylation status and G-Cimp methylation phenotype. Genomic groupings and methylation status were investigated as a possible predictor of disease progression in the high dose region, progression in the low dose region, and time to progression. Based on TCGA category there was no difference in OS (p = 0.26), 60 Gy progression (PN: 71 %, N: 60 %, M: 89 %, C: 83 %, p = 0.19), 46 Gy progression (PN: 57 %, N: 40 %, M: 61 %,C: 50 %, p = 0.8) or time to progression (PN: 9 months, N:15 months, M: 9 months, C: 7 months, p = 0.58). MGMT methylation predicted for improved OS (median 25 vs. 13 months, p = 0.01), improved DFS (median 13 vs. 8 months, p = 0.007) and decreased 60 Gy (p = 0.003) and 46 Gy (p = 0.006) progression. There was a cohort of MGMT methylated patients with late marginal disease progression (4/22 patients, 18 %). TCGA groups demonstrated no difference in survival or progression patterns. MGMT methylation predicted for a statistically significant decrease in in-field and marginal disease progression. There was a cohort of MGMT methylated patients with late marginal progression. Validations of these findings would have implications that could affect radiation field size.

Comparison of clinical outcomes and genomic characteristics of single focus and multifocal glioblastoma.

We investigate the differences in molecular signature and clinical outcomes between multiple lesion glioblastoma (GBM) and single focus GBM in the modern treatment era. Between August 2000 and May 2010, 161 patients with GBM were treated with modern radiotherapy techniques. Of this group, 33 were considered to have multiple lesion GBM (25 multifocal and 8 multicentric). Patterns of failure, time to progression and overall survival were compared based on whether the tumor was considered a single focus or multiple lesion GBM. Genomic groupings and methylation status were also investigated as a possible predictor of multifocality in a cohort of 41 patients with available tissue for analysis. There was no statistically significant difference in overall survival (p < 0.3) between the multiple lesion tumors (8.2 months) and single focus GBM (11 months). Progression free survival was superior in the single focus tumors (7.1 months) as compared to multi-focal (5.6 months, p = 0.02). For patients with single focus, multifocal and multicentric GBM, 81, 76 and 88 % of treatment failures occurred in the 60 Gy volume (p < 0.5), while 54, 72, and 38 % of treatment failures occurred in the 46 Gy volume (p < 0.4). Out of field failures were rare in both single focus and multiple foci GBM (7 vs 3 %). Genomic groupings and methylation status were not found to predict for multifocality. Patterns of failure, survival and genomic signatures for multiple lesion GBM do not appreciably differ when compared to single focus tumors.

Limited margins using modern radiotherapy techniques does not increase marginal failure rate of glioblastoma.

OBJECTIVE: We investigate the patterns of failure in the treatment of glioblastoma (GBM) based on clinical target volume (CTV) margin size, dose delivered to the site of initial failure, and the use of temozolomide and intensity-modulated radiotherapy (IMRT). METHODS: Between August 2000 and May 2010, 161 patients with GBM were treated with radiotherapy with or without concurrent temozolomide. Patients were treated with CTV expansions that ranged from 5 to 20 mm using a shrinking field technique. Patterns of failure and time to progression and overall survival were compared based on CTV margin, use of temozolomide, and use of IMRT. Kaplan Meier analysis was used to estimate survival times, and χ test was used for comparison of cohorts. RESULTS: For patients treated with 5-, 10-, and 15- to 20-mm CTV, 79%, 77%, and 86% experienced failures in the 60 Gy volume, respectively. Forty-eight percent, 55%, and 66% of patients with 5-, 10-, and 15- to 20-mm CTV experienced failures in the 46 Gy volume, respectively. There was no statistical difference between patients treated with 5-, 10-, 15- to 20-mm margins with regard to 60 Gy failure (P=0.76), 46 Gy failure (P=0.51), or marginal failure (P=0.73). Eighty percent of patients receiving temozolomide experienced failures in the 60 Gy volume. There was no increased likelihood of marginal failures in patients receiving IMRT (P=0.97). CONCLUSIONS: Modern treatment techniques including use of concurrent temozolmide, limited CTV margin size, and IMRT have not greatly changed the patterns of failure of GBM.

Specialized compartments of cardiac nuclei exhibit distinct proteomic anatomy.

As host to the genome, the nucleus plays a critical role as modulator of cellular phenotype. To understand the totality of proteins that regulate this organelle, we used proteomics to characterize the components of the cardiac nucleus. Following purification, cardiac nuclei were fractionated into biologically relevant fractions including acid-soluble proteins, chromatin-bound molecules and nucleoplasmic proteins. These distinct subproteomes were characterized by liquid chromatography-tandem MS. We report a cardiac nuclear proteome of 1048 proteins--only 146 of which are shared between the distinct subcompartments of this organelle. Analysis of genomic loci encoding these molecules gives insights into local hotspots for nuclear protein regulation. High mass accuracy and complementary analytical techniques allowed the discrimination of distinct protein isoforms, including 54 total histone variants, 17 of which were distinguished by unique peptide sequences and four of which have never been detected at the protein level. These studies are the first unbiased analysis of cardiac nuclear subcompartments and provide a foundation for exploration of this organelle's proteomes during disease.

Post-translational regulation of calsarcin-1 during pressure overload-induced cardiac hypertrophy.

Chronic pressure overload to the heart leads to cardiac hypertrophy and failure through processes that involve reorganization of subcellular compartments and alteration of established signaling mechanisms. To identify proteins contributing to this process, we examined changes in nuclear-associated myofilament proteins as the murine heart undergoes progressive hypertrophy following pressure overload. Calsarcin-1, a negative regulator of calcineurin signaling in the heart, was found to be enriched in cardiac nuclei and displays increased abundance following pressure overload through a mechanism that is decoupled from transcriptional regulation. Using proteomics, we identified novel processing of this protein in the setting of cardiac injury and identified four residues subject to modification by phosphorylation. These studies are the first to determine mechanisms regulating calsarcin abundance during hypertrophy and failure and reveal the first evidence of post-translational modifications of calsarcin-1 in the myocardium. Overall, the findings expand the roles of calsarcins to include nuclear tasks during cardiac growth.