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Sugumar V, Sr RRS, Ye XY, Zhan L, Sun A, Bezjak A, Cho J, Raman S, Hope AJ, Giuliani ME, Leighl N, Sacher AG, Shepherd F, Bradbury P, Liu G, Lok BH. Survival Outcomes of Extensive Stage Small Cell Lung Cancer Patients Treated with Consolidative Thoracic Radiotherapy at a Tertiary Cancer Center. Int J Radiat Oncol Biol Phys 2023; 117:e60. [PMID: 37785810 DOI: 10.1016/j.ijrobp.2023.06.779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Most small cell lung cancer cases present as Stage IV (M1) or extensive stage (ES-SCLC), which are defined as tumor extending outside the hemithorax without a tolerable radiation portal. The CREST trial demonstrated improved local control with a modest overall survival (OS) benefit at the 2-year secondary endpoint of 14% survival with consolidative thoracic radiotherapy (CTRT) compared to 3% without CTRT. Low toxicity rates were also observed. This study reports our institutional ES-SCLC experience for patients treated with CTRT. MATERIALS/METHODS A retrospective review was conducted on ES-SCLC patients treated with CTRT at our institution between 2014 and 2019. CTRT was defined as ≥30 Gy of thoracic radiotherapy. OS and tolerability of treatment were assessed in this population. Chemotherapy details were also captured. OS rate was determined using the Kaplan-Meier method and the time from start of CTRT to last date of follow-up or death. CTRT tolerability was determined using incidence and grade of esophagitis and radiation pneumonitis as per CTCAE v5. RESULTS We identified 100 ES-SCLC patients treated with any thoracic RT at our institute, of which 45 received thoracic RT for palliative intent or with <30 Gy. The remaining 55 patients received ≥30 Gy CTRT and were included for analysis. The median age was 65.1 years (range 46.6-86.9) and 36 (65%) were male. The median follow-up for this sample was 0.8 (range 0.03-4.2) years. Median chemotherapy cycles were 6 (range 1-6), most receiving ≥4 cycles (87%) and completing chemotherapy prior to CTRT initiation (91%) with a minority concurrently receiving chemotherapy and CTRT (9%). Platinum chemotherapy was the most common (96%) with 2 patients receiving etoposide alone (4%). The most common CTRT regimens were 30 Gy in 10 fractions (80%) followed by 40 Gy in 15 fractions (9%) and 45 Gy in 30 twice-daily fractions (7%). Most patients (67%) were treated with IMRT/VMAT technique, while the remaining (33%) patients were treated with 3DCRT. The median survival time was 1.3 years with 1- and 2-year OS of 57.2% (CI 44.0 - 74.3%) and 26.1% (CI 12.9 - 52.7%), respectively. CTRT was well tolerated with no grade 4+ toxicities. The most common toxicity was esophagitis with 21 patients (39%), of which 15 were G1 (28%) and 6 were G2 (11%). Radiation pneumonitis was present in 5 patients (9.2%) with 1 G1 (2%), 3 G2 (6%), and 1 G3 (2%) cases. CONCLUSION Consolidative TRT for ES-SCLC in this institutional series was at least as good as the reported CREST outcome with modest acute toxicities in this cohort. Disease burden at diagnosis, chemotherapy response, patterns of failure, and subsequent therapies will be further investigated.
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Affiliation(s)
- V Sugumar
- Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - R R Salunkhe Sr
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - X Y Ye
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - L Zhan
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - A Sun
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - A Bezjak
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - J Cho
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - S Raman
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - A J Hope
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - M E Giuliani
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - N Leighl
- Division of Medical Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - A G Sacher
- Division of Medical Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - F Shepherd
- Division of Medical Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - P Bradbury
- Division of Medical Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - G Liu
- Division of Medical Oncology, Princess Margaret Cancer Center, University Health Network, Toronto, ON, Canada
| | - B H Lok
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
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McNeil N, Bacon H, Kandel S, Patel T, Welch M, Ye XY, McIntosh C, Bezjak A, Lok BH, Raman S, Giuliani ME, Cho J, Sun A, Jr PEL, Liu G, Tadic T, Hope AJ. Clinical Acceptability of Artificial Intelligence-Screened Interstitial Lung Disease (AI-ILD) in Lung Cancer Patients Treated with Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:S20-S21. [PMID: 37784452 DOI: 10.1016/j.ijrobp.2023.06.243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Patients with interstitial lung disease (ILD) treated with thoracic radiotherapy (RT) are at greater risk of pulmonary toxicity. Automatic universal screening for ILD allows radiation oncologists (ROs) to risk stratify patients and implement necessary modifications to their respiratory monitoring or treatment. Automatic screening however may affect RO workload and so it is imperative to assess the clinical acceptability of this tool. MATERIALS/METHODS We have developed a machine learning algorithm to identify patients who are at high risk of having ILD based on RT planning computed tomography (CT) images. A quality improvement (QI) project was initiated to test feasibility and acceptability of the machine learning algorithm. If positive, the results of the machine learning algorithm were made available to ROs via structured electronic reporting. ROs were prompted to review the patient and consider expert radiologist consultation if thought appropriate. All electronic surveys and qualitative comments were summarized to describe clinical acceptability. Expert radiologist established gold standard ILD status of all patients on the study. A formal review of RO feedback was collected for all screen-positive, true-positive cases. RESULTS Two hundred forty cases were screened of which 45 were flagged as AI-ILD positive and the responsible RO notified. Of these 45 screen-positive cases, all continued on to RT except for 3 patients with tumor progression. From these 45, 24 surveys were completed, 21 had no prior suspicion of ILD. There were 7 true-positives, of which 1 had a survey response. Based on the survey responses, 88% of cases underwent review by the responsible RO. In 16 cases this automatic notification prompted case consultation with an expert radiologist. Expert review was performed from 10 minutes up to 53 hours after the email prompt to the radiologist, with median response time of 1.5 hours. In the 7 screen-positive, true-positive cases, only 2 were not previously known to the responsible RO. In the two cases where true-positive ILD status was previously unknown, one was a mild case of ILD and the other had previously received thoracic RT at this institution without ILD being identified, in both cases the ROs were grateful that this diagnosis was identified prior to treatment. RO confidence in the machine learning prediction was moderate due to the high proportion of false positives. CONCLUSION Based on available survey results, more than 75% of the screen-positive cases were reviewed by the responsible RO and two-thirds of these involved expert radiology input. RO feedback was generally positive and this tool was rated as a net benefit despite the high rate of false-positives and the need for clarification.
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Affiliation(s)
- N McNeil
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - H Bacon
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - S Kandel
- Joint Department of Medical Imaging, University Health Network, Toronto, ON, Canada
| | - T Patel
- Techna Institute, University Health Network, Toronto, ON, Canada
| | - M Welch
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - X Y Ye
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON, Canada
| | - C McIntosh
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada; Vector Institute for Artificial Intelligence, Toronto, ON, Canada
| | - A Bezjak
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - B H Lok
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - S Raman
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - M E Giuliani
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - J Cho
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - A Sun
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - P E Lindsay Jr
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - G Liu
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - T Tadic
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - A J Hope
- Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada; Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
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Jin R, Wu CHD, Giuliani ME, Doll CM, Ringash JG, Lavigne D, Ingledew PA. Evaluation of National Conference-Associated Medical Student Research and Mentorship Award for Medical Students, Resident Mentors, and Radiation Oncologist Supervisors. Int J Radiat Oncol Biol Phys 2023; 117:e521. [PMID: 37785625 DOI: 10.1016/j.ijrobp.2023.06.1791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) In 2020, the Canadian Association of Radiation Oncology (CARO) Medical Student Research and Mentorship Award (CARO MSRMA) was created to support medical students pursuing radiation oncology (RO) research and RO as a career. This study aims to evaluate the impact of three consecutive years of this award on medical students, RO resident mentors, and research supervisors. MATERIALS/METHODS Medical student mentees, resident mentors, and staff RO research supervisors who participated in one of three iterations of CARO MSRMA (2020-2022 inclusive) were identified. Three separate surveys were developed for these groups using best practice strategies for medical education surveys and circulated for peer-review amongst experts in oncology medical education. The surveys were sent to 52 participants: 18 medical students (Group 1), 18 RO resident mentors (Group 2), and 16 attending RO supervisors (Group 3). After anonymization, quantitative answers were analyzed using descriptive statistics and narrative responses were evaluated using a grounded theory approach. RESULTS Survey response rate was 92% (48/52). For Group 1, the award maintained (71%) or increased interest in pursuing an RO career (24%). Aspects of the award rated most important were: financial support to attend the CARO Annual Scientific Meeting (mean rating 4.8/5) and mentorship with an RO resident (mean rating 4.6/5). Through mentorship, 60% of students obtained valuable information about a career in RO, 60% reported helpful residency matching (CaRMS) advice, and another 60% attained insight into RO residency. For Group 2 respondents, 100% felt the program either maintained or increased their motivation to mentor students in RO. For Group 3, 100% agreed or strongly agreed that they enjoyed their role as a supervisor, would participate in the program again, and would recommend the opportunity to others. All three Groups agreed or strongly agreed that it would be useful for CARO to create a virtual network of radiation oncologists, residents, and medical students to share and access shadowing and research opportunities to encourage national RO exposure and collaboration. The first cohort of medical student awardees has CaRMS matching results, with approximately 50% matching to RO. CONCLUSION A national conference-associated medical student research and mentorship award has had a positive impact on all three populations involved: medical students in motivation to continue pursuing RO research and career opportunities, RO resident mentors in enhancing mentorship skills, and attending supervisors in inspiring the next generation of prospective RO colleagues. Further research is recommended to determine the impact of the award on subsequent Residency Specialty matching, and whether expansion of this award to other opportunities may be beneficial.
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Affiliation(s)
- R Jin
- MD Undergraduate Program, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - C H D Wu
- BC Cancer Agency, Victoria, BC, Canada
| | - M E Giuliani
- Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - C M Doll
- Department of Oncology, University of Calgary, Calgary, AB, Canada
| | - J G Ringash
- Department of Radiation Oncology, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | | | - P A Ingledew
- Radiation Oncology, BC Cancer Agency Department of Surgery, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
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Gillan C, Papadakos J, Brual J, Harnett N, Hogan A, Milne E, Giuliani ME. Impact of high-fidelity e-learning on knowledge acquisition and satisfaction in radiation oncology trainees. ACTA ACUST UNITED AC 2018; 25:e533-e538. [PMID: 30607120 DOI: 10.3747/co.25.4090] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background e-Learning is an underutilized tool in education for the health professions, and radiation medicine, given its reliance on technology for clinical practice, is well-suited to training simulation in online environments. The purpose of the present study was to evaluate the knowledge impact and user interface satisfaction of high-(hf) compared with low-fidelity (lf) e-learning modules (e-modules) in radiation oncology training. Methods Two versions of an e-module on lung radiotherapy (lf and hf) were developed. Radiation oncology residents and fellows were invited to be randomized to complete either the lf or the hf module through individual online accounts over a 2-week period. A 25-item multiple-choice knowledge assessment was administered before and after module completion, and user interface satisfaction was measured using the Questionnaire for User Interaction Satisfaction (quis) tool. Results Of 18 trainees, 8 were randomized to the lf module, and 10, to the hf module. Overall, knowledge assessment performance increased (11%, p < 0.05), with hf-group participants reporting a 13% improvement (p = 0.02), and senior participants reporting an almost 15% improvement (p < 0.01). Scores on the quis indicated that participants were satisfied with various aspects of the user interface. Conclusions The hf e-module had a greater impact on knowledge acquisition, and users expressed satisfaction with the interface in both the hf and lf situations. The use of e-learning in a competency-based curriculum could have educational advantages; participants expressed benefits and drawbacks. Preferences for e-learning integration in education for the health professions should be explored further.
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Affiliation(s)
- C Gillan
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON.,Department of Radiation Oncology, University of Toronto, Toronto, ON
| | - J Papadakos
- Cancer Education Program, Princess Margaret Cancer Centre, Toronto, ON
| | - J Brual
- Department of Radiation Oncology, University of Toronto, Toronto, ON
| | - N Harnett
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON.,Department of Radiation Oncology, University of Toronto, Toronto, ON
| | - A Hogan
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON
| | - E Milne
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON
| | - M E Giuliani
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON.,Department of Radiation Oncology, University of Toronto, Toronto, ON
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Wakeam E, Acuna SA, Leighl NB, Giuliani ME, Finlayson SRG, Varghese TK, Darling GE. Surgery Versus Chemotherapy and Radiotherapy For Early and Locally Advanced Small Cell Lung Cancer: A Propensity-Matched Analysis of Survival. Lung Cancer 2017; 109:78-88. [PMID: 28577955 DOI: 10.1016/j.lungcan.2017.04.021] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 04/25/2017] [Accepted: 04/29/2017] [Indexed: 12/12/2022]
Abstract
BACKGROUND The role of surgery in small cell lung cancer (SCLC) is controversial. Survival outcomes for resection of stage I-IIIA SCLC compared to chemotherapy-based non-surgical treatment (NST) were examined using propensity matching. METHODS 29,994 clinical stage I-IIIA SCLC patients, including 2,619 undergoing surgery, were identified in the National Cancer Database. Stage-specific propensity scores for receipt of surgery were created. Resected patients were matched 1:1 to those undergoing NST. Overall survival (OS) was assessed using Kaplan-Meier and multivariable Cox models. A separate match was performed comparing Stage I/II patients aged <85 with a Charlson score of 0 who underwent lobectomy with adjuvant chemotherapy (and radiotherapy if node positive) to those treated with multiagent chemotherapy and concurrent chest radiotherapy (CRT) of at least 40 gray. RESULTS 2,089 patients were matched, and cohorts were well balanced. Surgery was associated with longer survival for Stage I (median OS 38.6 months vs. 22.9 months, HR 0.62 95%CI 0.57-0.69, p<0.0001), but survival differences were attenuated for Stage II (median OS 23.4 months vs. 20.7 months, HR 0.84 95%CI 0.70-1.01, p=0.06) and IIIA (median OS 21.7 vs. 16.0 months, HR 0.71 95%CI 0.60-0.83, p <0.0001). In analyses by T and N stage, longer OS was observed in resected patients with stage T3/T4 N0 (median OS 33.0 vs. 16.8 months, p=0.008) and node positivity(N1+ 24.4 vs. 18.3 months p=0.03; N2+ 20.1 vs. 14.6 months p=0.007). In the subgroup analysis, 507 stage I/II patients receiving lobectomy and adjuvant chemotherapy were matched to patients receiving concurrent CRT. In this cohort, lobectomy with adjuvant chemotherapy was associated with significantly longer survival (median OS 48.6 vs. 28.7 months, p<0.0001). CONCLUSIONS Surgical resection is associated with significantly longer survival for early SCLC. New randomized trials should assess trimodality therapy in stages I/II, and in node negative disease.
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Affiliation(s)
- E Wakeam
- Division of General Surgery, Department of Surgery, University of Toronto, Toronto, Canada; Division of Thoracic Surgery, Department of Surgery, University of Toronto, Toronto, Canada.
| | - S A Acuna
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
| | - N B Leighl
- Division of Medical Oncology, Department of Medicine, University of Toronto, Toronto, Canada
| | - M E Giuliani
- Department of Radiation Oncology, University of Toronto, Toronto, Canada
| | - S R G Finlayson
- Department of Surgery, University of Utah, Salt Lake City, Utah, United States
| | - T K Varghese
- Department of Surgery, University of Utah, Salt Lake City, Utah, United States; Division of Thoracic Surgery, Department of Surgery, University of Utah, Salt Lake City, Utah, United States
| | - G E Darling
- Division of Thoracic Surgery, Department of Surgery, University of Toronto, Toronto, Canada
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Giuliani ME, Milne RA, Puts M, Sampson LR, Kwan JYY, Le LW, Alibhai SMH, Howell D, Abdelmutti N, Liu G, Papadakos J, Catton P, Jones J. The prevalence and nature of supportive care needs in lung cancer patients. ACTA ACUST UNITED AC 2016; 23:258-65. [PMID: 27536176 DOI: 10.3747/co.23.3012] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
PURPOSE In the present work, we set out to comprehensively describe the unmet supportive care and information needs of lung cancer patients. METHODS This cross-sectional study used the Supportive Care Needs Survey Short Form 34 (34 items) and an informational needs survey (8 items). Patients with primary lung cancer in any phase of survivorship were included. Demographic data and treatment details were collected from the medical charts of participants. The unmet needs were determined overall and by domain. Univariable and multivariable regression analyses were performed to determine factors associated with greater unmet needs. RESULTS From August 2013 to February 2014, 89 patients [44 (49%) men; median age: 71 years (range: 44-89 years)] were recruited. The mean number of unmet needs was 8 (range: 0-34), and 69 patients (78%) reported at least 1 unmet need. The need proportions by domain were 52% health system and information, 66% psychological, 58% physical, 24% patient care, and 20% sexuality. The top 2 unmet needs were "fears of the cancer spreading" [n = 44 of 84 (52%)] and "lack of energy/tiredness" [n = 42 of 88 (48%)]. On multivariable analysis, more advanced disease and higher MD Anderson Symptom Inventory scores were associated with increased unmet needs. Patients reported that the most desired information needs were those for information on managing symptoms such as fatigue (78%), shortness of breath (77%), and cough (63%). CONCLUSIONS Unmet supportive care needs are common in lung cancer patients, with some patients experiencing a very high number of unmet needs. Further work is needed to develop resources to address those needs.
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Affiliation(s)
- M E Giuliani
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON
| | - R A Milne
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON
| | - M Puts
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON
| | - L R Sampson
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON
| | - J Y Y Kwan
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON
| | - L W Le
- Department of Biostatistics, Princess Margaret Cancer Centre, Toronto, ON
| | - S M H Alibhai
- Department of Medicine, University of Toronto, Toronto, ON
| | - D Howell
- Oncology Nursing Research, Princess Margaret Cancer Centre, Toronto, ON
| | - N Abdelmutti
- Health Promotion and Wellness, Princess Margaret Cancer Centre, Toronto, ON
| | - G Liu
- Division of Medical Oncology, Princess Margaret Cancer Centre, Toronto, ON
| | - J Papadakos
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON
| | - P Catton
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, ON
| | - J Jones
- Cancer Survivorship Program, Princess Margaret Cancer Centre, Toronto, ON
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Gorbi S, Giuliani ME, Pittura L, d'Errico G, Terlizzi A, Felline S, Grauso L, Mollo E, Cutignano A, Regoli F. Could molecular effects of Caulerpa racemosa metabolites modulate the impact on fish populations of Diplodus sargus? Mar Environ Res 2014; 96:2-11. [PMID: 24582326 DOI: 10.1016/j.marenvres.2014.01.010] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2013] [Revised: 01/27/2014] [Accepted: 01/31/2014] [Indexed: 06/03/2023]
Abstract
The green alga Caulerpa racemosa is a non-native, invasive species in the Mediterranean, and an important stressor for several native organisms. The algal capacity to produce secondary metabolites has been suggested to modulate success of the C. racemosa invasion, although many of potentially involved biological pathways still remain unexplored. In this respect, the aim of the present study was to investigate some molecular and cellular effects in the white seabream Diplodus sargus, an ecologically key species, which included the alien C. racemosa in its diet. Organisms were sampled in 2 seasonal periods from 3 locations of Southern Italy, each characterized by different levels of algal abundance. The level of caulerpin, one of the main secondary algal metabolites, in fish tissues has been used as an indicator of the trophic exposure to the seaweed and related with molecular and cellular responses. Chemical analyses indicated that fish from invaded sites can accumulate caulerpin, with liver concentrations ranging from a few up to hundreds of μg/g. Biomarkers analyses revealed only limited alterations of the main antioxidant defences, such as glutathione reductase and levels of glutathione; on the other hand, increased enzymatic activities of cytochrome P450, glutathione S-transferases and acyl CoA oxidase, as well as enhanced gene transcription for peroxisome proliferator-activated receptor alpha, cytochrome P4501A and vitellogenin 1 were observed in fish more exposed to C. racemosa as indicated by liver concentrations of caulerpin higher than 50 μg/g. Despite a direct molecular relationship with this algal metabolite could not be established, our results suggest that a C. racemosa enriched diet can modulate biotransformation and fatty acids metabolism of D. sargus. Assessing whether similar effects represent short- or long-term effects will be of crucial importance to understand consequences on the general health status and reproductive performance of exposed key fish species in the Mediterranean region.
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Affiliation(s)
- S Gorbi
- Dipartimento di Scienze della Vita e dell'Ambiente, Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy.
| | - M E Giuliani
- Dipartimento di Scienze della Vita e dell'Ambiente, Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy
| | - L Pittura
- Dipartimento di Scienze della Vita e dell'Ambiente, Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy
| | - G d'Errico
- Dipartimento di Scienze della Vita e dell'Ambiente, Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy
| | - A Terlizzi
- Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali, Università del Salento, Lecce, Italy
| | - S Felline
- Dipartimento di Scienze e Tecnologie Biologiche ed Ambientali, Università del Salento, Lecce, Italy
| | - L Grauso
- Istituto di Chimica Biomolecolare, CNR, Naples, Italy
| | - E Mollo
- Istituto di Chimica Biomolecolare, CNR, Naples, Italy
| | - A Cutignano
- Istituto di Chimica Biomolecolare, CNR, Naples, Italy
| | - F Regoli
- Dipartimento di Scienze della Vita e dell'Ambiente, Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy
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Yung T, Giuliani ME, Le LW, Sun A, Cho BCJ, Bezjak A, Brade A, Hope AJ. Outcomes of accelerated hypofractionated radiotherapy in stage i non-small-cell lung cancer. ACTA ACUST UNITED AC 2012; 19:e264-9. [PMID: 22876155 DOI: 10.3747/co.19.976] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
PURPOSE Outcomes after treatment with accelerated hypofractionated radiotherapy in stage i medically inoperable non-small-cell lung cancer (nsclc) patients were determined. METHODS Our single-institution retrospective review looked at medically inoperable patients with T1-2N0M0 nsclc treated with accelerated hypofractionated curative-intent radiotherapy between 1999 and 2009. Patients were staged mainly by computed tomography imaging of chest and abdomen, bone scan, and computed tomography/magnetic resonance imaging of brain. Positron-emission tomography (pet) staging was performed in 6 patients. Medical charts were reviewed to determine demographics, radiotherapy details, sites of failure, toxicity (as defined by the Common Terminology Criteria for Adverse Events, version 3.0) and vital status. The cumulative incidence of local and distant failure was calculated. Overall (os) and cause-specific (css) survival were estimated by the Kaplan-Meier method. RESULT In the 60 patients treated during the study period, the dose regimens were 50 Gy in 20 fractions (n = 6), 55 Gy in 20 fractions (n = 8), 60 Gy in 20 fractions (n = 42), and 60 Gy in 25 fractions (n = 4). All patients were treated once daily. The median follow-up was 27 months (range: 4-94 months). The os rates at 2 and 5 years were 61% [95% confidence interval (ci): 50% to 75%] and 19% (95% ci: 10% to 34%) respectively. The css rates at 2 and 5 years were 79% (95% ci: 68% to 91%) and 39% (95% ci: 24% to 63%) respectively. The cumulative incidence of local failure was 20% at 5 years. The cumulative incidence of distant failure was 28% at 5 years. No patients experienced grade 3 or greater pneumonitis or esophagitis. CONCLUSIONS Accelerated hypofractionated regimens are well tolerated and provide good local control in medically inoperable patients with stage i nsclc. Such regimens may be a reasonable treatment alternative when stereotactic body radiation therapy is not feasible.
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Affiliation(s)
- T Yung
- Radiation Medicine Program, Princess Margaret Hospital, Toronto, ON
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