Introducing Multidisciplinary Oncology Management to the Medical Student

Despite the fact that a large portion of medical students pursue training in a cancer-related discipline, oncology is emphasized to a disproportionately lesser extent than are other disciplines in medical school. Medical students have wide gaps in their oncology-specific knowledge, and undergraduate medical education fails to address the multidisciplinary nature of oncology. To address these shortcomings and improve medical students’ understanding of the multidisciplinary nature of oncology, we have instituted a clinical oncology elective for medical students: an optional, 2-day session held after classes and promoted by student interest groups. Day 1 comprised a series of short faculty lectures beginning with the concepts of and rationale for staging, an approach to breaking bad news, guideline-based management, and multidisciplinary tumor board discussion. Three multidisciplinary tumor boards were simulated on the second day, run by attending surgeons, medical oncologists, and radiation oncologists with expertise in the cancer of interest, using real patient examples. Ultimately, the clinical oncology elective shows medical students how the oncology care team works together to care for cancer patients.

Emerging role of immunotherapy in locally advanced non-small cell lung cancer

Non-small cell lung cancer (NSCLC) accounts for 85% of the cases of lung cancer in the United States, and 70% of patients with NSCLC have locally advanced or metastatic disease at the time of diagnosis. The 5-year overall survival rate for patients with locally advanced NSCLC is 15% to 20%. The traditional treatment paradigm for unresectable locally advanced NSCLC consists of platinum-based chemotherapy with concurrent radiation. Evidence from phase 3 clinical trials has established a role for immunotherapy after chemoradiation, and emerging data continue to elucidate the expanding role of immunotherapy.

Machine learning highlights the deficiency of conventional dosimetric constraints for prevention of high-grade radiation esophagitis in non-small cell lung cancer treated with chemoradiation

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A large cohort to predict radiation esophagitis in lung cancer patients was used.

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Modern machine learning models were implemented to predict radiation esophagitis.

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Previously published predictors of grade ≥ 3 radiation esophagitis may be unreliable.

Background and Purpose

Radiation esophagitis is a clinically important toxicity seen with treatment for locally-advanced non-small cell lung cancer. There is considerable disagreement among prior studies in identifying predictors of radiation esophagitis. We apply machine learning algorithms to identify factors contributing to the development of radiation esophagitis to uncover previously unidentified criteria and more robust dosimetric factors.

Materials and Methods

We used machine learning approaches to identify predictors of grade ≥ 3 radiation esophagitis in a cohort of 202 consecutive locally-advanced non-small cell lung cancer patients treated with definitive chemoradiation from 2008 to 2016. We evaluated 35 clinical features per patient grouped into risk factors, comorbidities, imaging, stage, histology, radiotherapy, chemotherapy and dosimetry. Univariate and multivariate analyses were performed using a panel of 11 machine learning algorithms combined with predictive power assessments.

Results

All patients were treated to a median dose of 66.6 Gy at 1.8 Gy per fraction using photon (89.6%) and proton (10.4%) beam therapy, most often with concurrent chemotherapy (86.6%). 11.4% of patients developed grade ≥ 3 radiation esophagitis. On univariate analysis, no individual feature was found to predict radiation esophagitis (AUC range 0.45–0.55, p ≥ 0.07). In multivariate analysis, all machine learning algorithms exhibited poor predictive performance (AUC range 0.46–0.56, p ≥ 0.07).

Conclusions

Contemporary machine learning algorithms applied to our modern, relatively large institutional cohort could not identify any reliable predictors of grade ≥ 3 radiation esophagitis. Additional patients are needed, and novel patient-specific and treatment characteristics should be investigated to develop clinically meaningful methods to mitigate this survival altering toxicity.

Baseline Plasma Tumor Mutation Burden Predicts Response to Pembrolizumab-based Therapy in Patients with Metastatic Non-Small Cell Lung Cancer

PURPOSE

The role of plasma-based tumor mutation burden (pTMB) in predicting response to pembrolizumab-based first-line standard-of-care therapy for metastatic non-small cell lung cancer (mNSCLC) has not been explored.

EXPERIMENTAL DESIGN

A 500-gene next-generation sequencing panel was used to assess pTMB. Sixty-six patients with newly diagnosed mNSCLC starting first-line pembrolizumab-based therapy, either alone or in combination with chemotherapy, were enrolled (Clinicaltrial.gov identifier: NCT03047616). Response was assessed using RECIST 1.1. Associations were made for patient characteristics, 6-month durable clinical benefit (DCB), progression-free survival (PFS), and overall survival (OS).

RESULTS

Of 66 patients, 52 (78.8%) were pTMB-evaluable. Median pTMB was 16.8 mutations per megabase (mut/Mb; range, 1.9-52.5) and was significantly higher for patients achieving DCB compared with no durable benefit (21.3 mut/Mb vs. 12.4 mut/Mb, P = 0.003). For patients with pTMB ≥ 16 mut/Mb, median PFS was 14.1 versus 4.7 months for patients with pTMB < 16 mut/Mb [HR, 0.30 (0.16-0.60); P < 0.001]. Median OS for patients with pTMB ≥ 16 was not reached versus 8.8 months for patients with pTMB < 16 mut/Mb [HR, 0.48 (0.22-1.03); P = 0.061]. Mutations in ERBB2 exon 20, STK11, KEAP1, or PTEN were more common in patients with no DCB. A combination of pTMB ≥ 16 and absence of negative predictor mutations was associated with PFS [HR, 0.24 (0.11-0.49); P < 0.001] and OS [HR, 0.31 (0.13-0.74); P = 0.009].

CONCLUSIONS

pTMB ≥ 16 mut/Mb is associated with improved PFS after first-line standard-of-care pembrolizumab-based therapy in mNSCLC. STK11/KEAP1/PTEN and ERBB2 mutations may help identify pTMB-high patients unlikely to respond. These results should be validated in larger prospective studies.

Early Tumor and Nodal Response in Patients with Locally Advanced Non-Small Cell Lung Carcinoma Predict for Oncologic Outcomes in Patients Treated with Concurrent Proton Therapy and Chemotherapy

PURPOSE

There are no established imaging biomarkers that predict response during chemoradiation for patients with locally advanced non-small cell lung carcinoma. At our institution, proton therapy (PT) patients undergo repeat computed tomography (CT) simulations twice during radiation. We hypothesized that tumor regression measured on these scans would separate early and late responders and that early response would translate into better outcomes.

METHODS AND MATERIALS

Patients underwent CT simulations before starting PT (CT0) and between weeks 1 to 3 (CT1) and weeks 4 to 7 (CT2) of PT. Primary tumor volume (TVR) and nodal volume (NVR) reduction were calculated at CT1 and CT2. Based on recursive partitioning analysis, early response at CT1 and CT2 was defined as ≥20% and ≥40%, respectively. Locoregional and overall progression-free survival (PFS), distant metastasis-free survival, and overall survival by response status were measured using Kaplan-Meier analysis.

RESULTS

Ninety-seven patients with locally advanced non-small cell lung carcinoma underwent definitive PT to a median dose of 66.6 Gy with concurrent chemotherapy. Median TVR and NVR at CT1 were 19% (0-79%) and 19% (0-75%), respectively. At CT2, they were 33% (2-98%) and 35% (0-89%), respectively. With a median follow-up of 25 months, the median overall survival and PFS for the entire cohort was 24.9 and 13.2 months, respectively. Compared with patients with TVR and NVR <20% at T1 and <40% at T2, patients with TVR and NVR ≥20% at CT1 and ≥40% at CT2 had improved median locoregional PFS (27.15 vs 12.97 months for TVR ≥40% vs <40%, P < .01, and 25.67 vs 12.09 months for NVR ≥40% vs <40%, P < .01) and median PFS (22.7 vs 9.2 months, P < .01, and 20.3 vs 7.9 months, P < .01), confirmed on multivariate Cox regression analysis.

CONCLUSIONS

Significantly improved outcomes in patients with early responses to therapy, as measured by TVR and NVR, were seen. Further study is warranted to determine whether treatment intensification will improve outcomes in slow-responding patients.

Early Detection of Recurrence in Patients With Locally Advanced Non-Small-Cell Lung Cancer via Circulating Tumor Cell Analysis

BACKGROUND

Assays to identify circulating tumor cells (CTCs) might allow for noninvasive and sequential monitoring of lung cancer. We investigated whether serial CTC analysis could complement conventional imaging for detecting recurrences after treatment in patients with locally advanced non-small-cell lung cancer (LA-NSCLC).

PATIENTS AND METHODS

Patients with LA-NSCLC (stage II-III) who definitively received concurrent chemoradiation were prospectively enrolled, with CTCs from peripheral blood samples identified using an adenoviral probe that detects elevated telomerase activity present in nearly all lung cancer cells. A "detectable" CTC level was defined as 1.3 green flourescent protein-positive cells per milliliter of collected blood. Samples were obtained before, during (at weeks 2, 4, and 6), and after treatment (post-radiation therapy [RT]; at months 1, 3, 6, 12, 18, and 24).

RESULTS

Forty-eight patients were enrolled. At a median follow-up of 10.9 months, 22 (46%) patients had disease recurrence at a median time of 7.6 months post-RT (range, 1.3-32.0 months). Of the 20 of 22 patients for whom post-RT samples were obtained, 15 (75%) had an increase in CTC counts post-RT. In 10 of these 15 patients, CTCs were undetectable on initial post-RT draw but were then detected again before radiographic detection of recurrence, with a median lead time of 6.2 months and mean lead time of 6.1 months (range, 0.1-12.0 months) between CTC count increase and radiographic evidence of recurrence. One patient with an early recurrence (4.7 months) had persistently elevated detectable CTC levels during and after treatment.

CONCLUSION

These results indicate that longitudinal CTC monitoring in patients with LA-NSCLC treated with chemoradiation is feasible, and that detectable CTC levels in many patients meaningfully precede radiologic evidence of disease recurrence.

Design and implementation of outpatient-based rapid MRI protocols to rule out metastatic spinal cord compression and brain metastases

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Background: Metastatic spinal cord compression (MSCC) and symptomatic brain metastases (mets) are potential emergencies that demand coordinated multidisciplinary management. Patients (pts) with concerning symptoms are often referred to the Emergency Department (ED) for expedited imaging, but most do not require subsequent ED or inpatient management. Unnecessary ED visits incur substantial cost to the health system and patients, and cause psychosocial stress for patients often near the end-of-life. To improve access to expedited outpatient imaging for high-risk pts and reduce unnecessary ED visits, we developed outpatient rapid MRI protocols and pathways to rule out MSCC and brain mets. Methods: Tailored abbreviated MRI protocols were developed to allow rapid acquisition of brain ( < 13 minutes) and full spine ( < 25 minutes) exams. Dedicated appointments were reserved on the daily MRI schedule. Exams were immediately interpreted and reported by Radiology to the ordering clinician. This pathway was piloted within the Thoracic Oncology group beginning in 10/2018. Results: Referring specialties included Radiation Oncology (50%), Medical Oncology (36%), Pulmonology (7%), and Surgery (7%). For 6 pts who had outpatient rapid brain imaging, median time from order to exam start was 4.3 h (1.8-31) and order to final report 6.8 h (3.2-34.1). Brain mets were found in 4/6 patients. Only 1/4 positive studies required subsequent ED management. For 8 pts referred for rapid spine imaging, median time from order to exam start was 14.4 h (2.2-72.5) and order to final report 16.7 h (4.0-74.4). Only 1 patient was found to have cord compression and required ED/inpatient management. Overall, 86% of patients did not require ED or inpatient admission. 3 pts (all with negative imaging) died a median 13.4 d (1.4-28.3) after order placement. Conclusions: Outpatient rapid MRI protocols facilitate same-day imaging, interpretation, and management, improving care for thoracic oncology pts with new concerning neurologic symptoms and reducing unnecessary ED visits. Future work will expand access beyond Thoracic Oncology and further quantify improvements in cost savings and patient quality of life.

Prospective phase I multi-institutional trial of PD-1 blockade with pembrolizumab during concurrent chemoradiation for locally advanced, unresectable non-small cell lung cancer

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Background: The PACIFIC study showed that consolidative Programmed Death Ligand 1 inhibition (PD-L1i) after chemoradiation therapy (CRT) improves PFS and OS in patients with Stage IIII NSCLC (Antonia et al. NEJM 2017, 2018). Limited data, however, exist regarding the incorporation of PD-L1i concurrently during CRT. We sought to assess the safety and toxicity of PD-1i using pembrolizumab (pembro) during definitive CRT for Stage III NSCLC. Methods: In this multi-center prospective Phase I clinical trial using a 3+3 design, we evaluated the timing and dosing of pembro combined with chemotherapy (carboplatin + paclitaxel weekly) and definitive RT (60 Gy in 2 Gy/day x 30 fractions) for unresectable, locally advanced Stage III NSCLC (AJCC 7thEd). Dose Cohorts (C) evaluated were--C1: full dose (FD) pembro (200 mg IV Q3 weeks) 2-6 weeks after CRT; C2: reduced dose (RD) pembro (100 mg IV Q3 weeks) starting Day 29 of CRT; C3: FD pembro starting Day 29 of CRT; C4: RD pembro starting on Day 1 of CRT; C5: FD pembro starting on Day 1 of CRT. For each cohort, pembro was continued Q3 weeks for up to 18 cycles (as monotherapy after CRT in either RD or FD based on initial dose assignment). Dose Limiting Toxicity (DLT) was defined as Grade ≥4 pneumonitis within 21 days of cycle 1 of pembro. Results: We enrolled 23 subjects from 8/2016-11/2018; median follow up (f/u) was 11.4 mo (range, 3.1 mo- 25.2 mo). Median age was 69 yrs (range 53-85); 52% were women. No DLTs were observed in any of the cohorts (C1 to C5). Grade ≥3 immune-related adverse events (irAE) occurred in 4 patients (18%). irAE’s included: Grade 5 (bilateral), 3, 2 pneumonitis (n=1, 1, 4, respectively (6 total)); Grade 3 hyperglycemia (n=1); Grade 3 interstitial nephritis (n=1); Grade 2 thyroiditis (n=4); Grade 2 myositis (n=1); Grade 1-2 transaminitis (n=3). Median PFS for patients who received ≥2 doses (n=18) of pembro was 20.3 mo. Conclusions: Combined treatment with PD-Li and CRT for stage III NSCLC was well tolerated with promising PFS to date but showed an increased risk for irAEs, particularly pneumonitis. Based on these encouraging results, further prospective study of PD-1i and CRT for Stage III NSCLC is warranted. Clinical trial information: NCT02621398.

Clinical Implications of Plasma-Based Genotyping With the Delivery of Personalized Therapy in Metastatic Non-Small Cell Lung Cancer

Importance

The clinical implications of adding plasma-based circulating tumor DNA next-generation sequencing (NGS) to tissue NGS for targetable mutation detection in non-small cell lung cancer (NSCLC) have not been formally assessed.

Objective

To determine whether plasma NGS testing was associated with improved mutation detection and enhanced delivery of personalized therapy in a real-world clinical setting.

Design, Setting, and Participants

This prospective cohort study enrolled 323 patients with metastatic NSCLC who had plasma testing ordered as part of routine clinical management. Plasma NGS was performed using a 73-gene commercial platform. Patients were enrolled at the Hospital of the University of Pennsylvania from April 1, 2016, through January 2, 2018. The database was locked for follow-up and analyses on January 2, 2018, with a median follow-up of 7 months (range, 1-21 months).

Main Outcomes and Measures

The number of patients with targetable alterations detected with plasma and tissue NGS; the association between the allele fractions (AFs) of mutations detected in tissue and plasma; and the association of response rate with the plasma AF of the targeted mutations.

Results

Among the 323 patients with NSCLC (60.1% female; median age, 65 years [range, 33-93 years]), therapeutically targetable mutations were detected in EGFR, ALK, MET, BRCA1, ROS1, RET, ERBB2, or BRAF for 113 (35.0%) overall. Ninety-four patients (29.1%) had plasma testing only at the discretion of the treating physician or patient preference. Among the 94 patients with plasma testing alone, 31 (33.0%) had a therapeutically targetable mutation detected, thus obviating the need for an invasive biopsy. Among the remaining 229 patients who had concurrent plasma and tissue NGS or were unable to have tissue NGS, a therapeutically targetable mutation was detected in tissue alone for 47 patients (20.5%), whereas the addition of plasma testing increased this number to 82 (35.8%). Thirty-six of 42 patients (85.7%) who received a targeted therapy based on the plasma result achieved a complete or a partial response or stable disease. The plasma-based targeted mutation AF had no correlation with depth of Response Evaluation Criteria in Solid Tumors response (r = -0.121; P = .45).

Conclusions and Relevance

Integration of plasma NGS testing into the routine management of stage IV NSCLC demonstrates a marked increase of the detection of therapeutically targetable mutations and improved delivery of molecularly guided therapy.

Empiric Radiotherapy for Lung Cancer Collaborative Group multi-institutional evidence-based guidelines for the use of empiric stereotactic body radiation therapy for non-small cell lung cancer without pathologic confirmation

The standard of care for managing early stage non-small cell lung cancer (NSCLC) is definitive surgical resection. Stereotactic body radiation therapy (SBRT) has become the standard treatment for patient who are medically inoperable, and it is increasingly being considered as an option in operable patients. With the growing use of screening thoracic CT scans for patients with a history of heavy smoking, as well as improved imaging capabilities, the discovery of small lung nodes has become a common dilemma. As a result, clinicians are increasingly faced with managing lung nodules in patients in whom diagnostic biopsy is not safe or feasible. Herein, we describe the scope of the problem, tools available for predicting the probability that a lung nodule is a malignancy, staging procedures, benefits of pathology-proven and empiric SBRT, considerations of safety based on location of the lesion of concern, and overall efficacy of SBRT.

Predicting radiation pneumonitis in locally advanced stage II-III non-small cell lung cancer using machine learning

BACKGROUND AND PURPOSE

Radiation pneumonitis (RP) is a radiotherapy dose-limiting toxicity for locally advanced non-small cell lung cancer (LA-NSCLC). Prior studies have proposed relevant dosimetric constraints to limit this toxicity. Using machine learning algorithms, we performed analyses of contributing factors in the development of RP to uncover previously unidentified criteria and elucidate the relative importance of individual factors.

MATERIALS AND METHODS

We evaluated 32 clinical features per patient in a cohort of 203 stage II-III LA-NSCLC patients treated with definitive chemoradiation to a median dose of 66.6 Gy in 1.8 Gy daily fractions at our institution from 2008 to 2016. Of this cohort, 17.7% of patients developed grade ≥2 RP. Univariate analysis was performed using trained decision stumps to individually analyze statistically significant predictors of RP and perform feature selection. Applying Random Forest, we performed multivariate analysis to assess the combined performance of important predictors of RP.

RESULTS

On univariate analysis, lung V20, lung mean, lung V10 and lung V5 were found to be significant RP predictors with the greatest balance of specificity and sensitivity. On multivariate analysis, Random Forest (AUC = 0.66, p = 0.0005) identified esophagus max (20.5%), lung V20 (16.4%), lung mean (15.7%) and pack-year (14.9%) as the most common primary differentiators of RP.

CONCLUSIONS

We highlight Random Forest as an accurate machine learning method to identify known and new predictors of symptomatic RP. Furthermore, this analysis confirms the importance of lung V20, lung mean and pack-year as predictors of RP while also introducing esophagus max as an important RP predictor.

LGM2605 Reduces Space Radiation-Induced NLRP3 Inflammasome Activation and Damage in In Vitro Lung Vascular Networks

Updated measurements of charged particle fluxes during the transit from Earth to Mars as well as on site measurements by Curiosity of Martian surface radiation fluxes identified potential health hazards associated with radiation exposure for human space missions. Designing mitigation strategies of radiation risks to astronauts is critical. We investigated radiation-induced endothelial cell damage and its mitigation by LGM2605, a radioprotector with antioxidant and free radical scavenging properties. We used an in vitro model of lung vascular networks (flow-adapted endothelial cells; FAECs), exposed to gamma rays, low/higher linear energy transfer (LET) protons (3⁻4 or 8⁻10 keV/µm, respectively), and mixed field radiation sources (gamma and protons), given at mission-relevant doses (0.25 gray (Gy)⁻1 Gy). We evaluated endothelial inflammatory phenotype, NLRP3 inflammasome activation, and oxidative cell injury. LGM2605 (100 µM) was added 30 min post radiation exposure and gene expression changes evaluated 24 h later. Radiation induced a robust increase in mRNA levels of antioxidant enzymes post 0.25 Gy and 0.5 Gy gamma radiation, which was significantly decreased by LGM2605. Intercellular cell adhesion molecule-1 (ICAM-1) and NOD-like receptor protein 3 (NLRP3) induction by individual or mixed-field exposures were also significantly blunted by LGM2605. We conclude that LGM2605 is a likely candidate to reduce tissue damage from space-relevant radiation exposure.

Impact of Enlarged Nonhypermetabolic Lymph Nodes on Outcomes After Stereotactic Body Radiotherapy for Early-Stage Non-Small-Cell Lung Cancer

BACKGROUND

Up to 15% of patients undergoing positron emission tomography (PET)/computed tomography (CT) before stereotactic body radiotherapy (SBRT) harbor occult nodal disease. In the absence of invasive mediastinal staging, the clinical significance of enlarged nonhypermetabolic lymph nodes (LNs) remains unclear. We performed what is to our knowledge the first study to address whether enlarged nonhypermetabolic LNs were associated with higher post-SBRT failure rates.

PATIENTS AND METHODS

Two academic centers assessed 157 consecutive patients treated with SBRT for cT1-2aN0M0 non-small-cell lung cancer who underwent PET/CT without pathologic nodal staging. The cutoff of an enlarged node was ≥ 1.0 cm, although a 7 mm threshold was also evaluated. Local recurrence-free survival (RFS), regional RFS, distant metastasis-free survival, RFS, and overall survival (OS) were calculated by Kaplan-Meier methodology. Multivariate Cox modeling addressed factors associated with RFS and OS.

RESULTS

There were 120 patients (76%) with LNs < 1 cm and 37 (24%) with nodes ≥ 1 cm. Most patients had peripheral and/or T1 tumors. Median follow-up was 25.5 months. There were no differences between cohorts in actuarial local RFS, regional RFS, distant metastasis-free survival, RFS, or OS (P > .05 for all). Thirteen percent of patients experienced any nodal relapse, 15% of which occurred in the same station as that of the largest pre-SBRT LN. Stratification by largest LN location in an N1 versus N2 station showed no differences in RFS or OS (P > .05 for both). A 7 mm cutoff also showed no differences in outcomes (P > .05 for all). LN size was not correlated with RFS/OS on multivariable analysis (P > .05 for both).

CONCLUSION

The presence of enlarged nonhypermetabolic LNs on PET/CT is not associated with increased post-SBRT failure rates.

Exploratory analysis using machine learning to predict for chest wall pain in patients with stage I non-small-cell lung cancer treated with stereotactic body radiation therapy

Background and purpose

Chest wall toxicity is observed after stereotactic body radiation therapy (SBRT) for peripherally located lung tumors. We utilize machine learning algorithms to identify toxicity predictors to develop dose–volume constraints.

Materials and methods

Twenty‐five patient, tumor, and dosimetric features were recorded for 197 consecutive patients with Stage I NSCLC treated with SBRT, 11 of whom (5.6%) developed CTCAEv4 grade ≥2 chest wall pain. Decision tree modeling was used to determine chest wall syndrome (CWS) thresholds for individual features. Significant features were determined using independent multivariate methods. These methods incorporate out‐of‐bag estimation using Random forests (RF) and bootstrapping (100 iterations) using decision trees.

Results

Univariate analysis identified rib dose to 1 cc < 4000 cGy (P = 0.01), chest wall dose to 30 cc < 1900 cGy (P = 0.035), rib Dmax < 5100 cGy (P = 0.05) and lung dose to 1000 cc < 70 cGy (P = 0.039) to be statistically significant thresholds for avoiding CWS. Subsequent multivariate analysis confirmed the importance of rib dose to 1 cc, chest wall dose to 30 cc, and rib Dmax. Using learning‐curve experiments, the dataset proved to be self‐consistent and provides a realistic model for CWS analysis.

Conclusions

Using machine learning algorithms in this first of its kind study, we identify robust features and cutoffs predictive for the rare clinical event of CWS. Additional data in planned subsequent multicenter studies will help increase the accuracy of multivariate analysis.

Radiation Pneumonitis: Old Problem, New Tricks

Radiation therapy is a major treatment modality for management of non-small cell lung cancer. Radiation pneumonitis is a dose limiting toxicity of radiotherapy, affecting its therapeutic ratio. This review presents patient and treatment related factors associated with the development of radiation pneumonitis. Research focusing on reducing the incidence of radiation pneumonitis by using information about lung ventilation, imaging-based biomarkers as well as normal tissue complication models is discussed. Recent advances in our understanding of molecular mechanisms underlying lung injury has led to the development of several targeted interventions, which are also explored in this review.

The state of survivorship care in radiation oncology: Results from a nationally distributed survey

BACKGROUND

Survivorship care has become an increasingly critical component of oncologic care as well as a quality practice and reimbursement metric. To the authors' knowledge, the current climate of survivorship medicine in radiation oncology has not been investigated fully.

METHODS

An institutional review board-approved, Internet-based survey examining practices and preparedness in survivorship care was distributed to radiation oncology practices participating in the American College of Radiology Radiation Oncology Practice Accreditation program between November 2016 and January 2017. A total of 78 surveys were completed. Among these, 2 were nonphysicians, resulting in 76 evaluable responses.

RESULTS

Radiation oncologists (ROs) frequently reported that they are the primary provider in the evaluation of late toxicities and the recurrence of primary cancer. Although approximately 68% of ROs frequently discuss plans for future care with survivors, few provide a written survivorship care plan to their patients (18%) or the patients' primary care providers (24%). Patient prognosis, disease site, and reimbursement factors often influence the provision of survivorship care. Although ROs report that several platforms offer training in survivorship medicine, the quality of these resources is variable and extensive instruction is rare. Fewer than one-half of ROs believe they are expertly trained in survivorship care.

CONCLUSIONS

ROs play an active role within the multidisciplinary team in the cancer-related follow-up care of survivors. Investigation of barriers to the provision of survivorship care and optimization of service delivery should be pursued further. The development of high-quality, easily accessible educational programming is needed so that ROs can participate more effectively in the care of cancer survivors. Cancer 2018;124:2653-60. © 2018 American Cancer Society.

Introductory Radiation Oncology Curriculum: Report of a National Needs Assessment and Multi-institutional Pilot Implementation

PURPOSE

To assess the optimal structure of an introductory curriculum (IC) for radiation oncology residents, including the perceived utility of a 2-day off-site "boot camp," and evaluate the success of a pilot introductory radiation oncology curriculum (IROC) based on these initial data.

METHODS AND MATERIALS

In the first phase, anonymous, web-based surveys were sent to US radiation oncology program directors and residents. Likert-type scores (1, not at all; 5, extremely) are reported as the median and interquartile range. Using the phase 1 results, IROC was developed, piloted, and evaluated.

RESULTS

Of the 89 program directors and 697 residents, 47 (53%) and 165 (24%) responded, respectively. Of the 89 program directors, 37 (79%) reported offering a formal IC. However, only 83 residents (50%) reported having a formal IC. Program directors reported resident preparation for clinical training as "moderate" (median 3, interquartile range 2-3) on entering residency and "moderate" (median 3, interquartile range 3-4) after IC completion (P = .03). However, residents only believed they were "slightly" prepared (median 2, interquartile range 1-2) on entering residency and "moderately" (median 3, interquartile range 2-3) prepared after IC completion (P < .01). Program directors believed an off-site boot camp would be of "moderate" utility (median 3, interquartile range 3-4) with participation limited by funding (57%). Residents without an IC reported that having an IC would be "quite" beneficial (median 4, interquartile range 3-5). Residents preferred instruction before the clinical training (49%) and over 1 week (40%). Both program directors and residents rated lectures on radiation emergencies and simulation highly. Using these data, IROC was developed and piloted with incoming residents at 4 institutions. After IROC, residents reported improvement in overall preparedness for clinical training (before: median 1, interquartile range 1-2; vs after: median 3, interquartile range 2-3; P < .01) and among specific practice domains.

CONCLUSIONS

Beginning radiation oncology residents frequently lack structured introductory curricula but desire instruction before the clinical training with a focus on practical aspects (emergency management, contouring). Program directors recognize the value of both off-site and on-site boot camps. An on-site IC could mitigate funding barriers. A standardized IC, IROC, piloted at 4 programs, showed promising outcomes.

Proton therapy for thoracic reirradiation of non-small cell lung cancer

Lung cancer is a leading cause of cancer death with frequent local failures after initial curative-intent treatment. Locally recurrent non-small cell lung cancer represents a challenging clinical scenario as patients have often received prior radiation as part of a definitive treatment regimen. Proton beam therapy, through its characteristic Bragg peak and lack of exit dose is a potential means of minimizing the toxicity to previously irradiated organs and improving the therapeutic ratio. This article aims to review the rationale for the use of proton beam therapy for treatment of locally recurrent non-small cell lung cancer, highlight the current published experience on the feasibility, efficacy, and limitations of proton beam reirradiation, and discuss future avenues for improved patient selection and treatment delivery.

Focusing on the "Person" in Personalized Medicine: The Future of Patient-Centered Care in Radiation Oncology

Numerous efforts in radiation oncology aim to improve the value of clinical care. To evaluate the success of these efforts, outcome measures must be well defined and incorporate the beliefs of the patients they affect. These outcomes have historically centered on rates of tumor control, overall survival, and adverse events as perceived and reported by providers. However, the future of patient-centered care in radiation oncology is increasingly focusing on the "person" in the population and the individual in the studies to more closely reflect the ideals of personalized medicine. Formally known as patient-centered outcomes, this metric encompasses parameters of patient satisfaction, engagement, and treatment compliance. Evaluations that investigate the safety and efficacy of treatments are increasingly soliciting participation from patients within a model of shared decision making that improves patients' knowledge, satisfaction, physical and emotional well-being, and trust in providers. Modern clinical trials that embrace this approach may even focus on patient-reported outcomes as the primary end point, as opposed to time-honored physician-reported events. The authors explore the growing role of patient-centered care, the incorporation of shared decision making, and the relevant body of existing and developing literature on this topic in radiation oncology. The authors report recent discoveries from this area of study and describe how they can not only support high-quality, high-value patient care but also enhance recruitment to clinical oncology trials, both of which are challenging to achieve in today's relatively resource-strapped environment.

Proton beam reirradiation for locally recurrent pancreatic adenocarcinoma

BACKGROUND

Local recurrence following definitive treatment for pancreatic adenocarcinoma is common and can be associated with significant morbidity and mortality. Retreatment options for these patients are limited. Proton beam reirradiation (PRT) may limit dose and toxicity to previously irradiated normal tissues in patients without evidence of metastatic disease.

METHODS

Between 8/2010-2/2015, 15 patients with isolated, locally-recurrent pancreatic cancer were treated with PRT. Acute toxicity was graded using CTC v 4.0 and defined as occurring within 90 days. Kaplan-Meier survival analysis was performed from the start of PRT. A log-rank test was used to compare survival with or without concurrent chemotherapy.

RESULTS

Median follow-up was 15.7 months [2-48] from the start of PRT. The median clinical target volume (CTV) was 71 cc [15-200]. Ten (67%) patients received concurrent chemotherapy. Median PRT dose was 59.4 Gy (37.5-59.4 Gy). The median time interval from the prior treatment course was 26.7 months (7-461.3). There was a rate of 13% acute ≥ grade 3 toxicities attributed to PRT. The median overall survival (OS) was 16.7 months (95% CI, 4.7-36) and OS at 1 year was 67%. The "in-field" failure free survival at one year was 87%. The locoregional progression free survival (LPFS) and distant metastasis free survival (DMFS) at 1 year was 72% and 64% respectively. Concurrent chemotherapy was associated with a higher median survival.

CONCLUSIONS

PRT was well tolerated, resulted in prolonged clinical outcomes compared to historical controls, and should be considered as a treatment option with concurrent chemotherapy in selected patients with locally-recurrent pancreatic cancer.