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Zhai TT, Langendijk JA, van Dijk LV, Halmos GB, Witjes MJH, Oosting SF, Noordzij W, Sijtsema NM, Steenbakkers RJHM. The prognostic value of CT-based image-biomarkers for head and neck cancer patients treated with definitive (chemo-)radiation. Oral Oncol 2019; 95:178-186. [PMID: 31345388 DOI: 10.1016/j.oraloncology.2019.06.020] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 05/24/2019] [Accepted: 06/16/2019] [Indexed: 02/05/2023]
Abstract
OBJECTIVES The aim of this study was to investigate whether quantitative CT image-biomarkers (IBMs) can improve the prediction models with only classical prognostic factors for local-control (LC), regional-control (RC), distant metastasis-free survival (DMFS) and disease-free survival (DFS) for head and neck cancer (HNC) patients. MATERIALS AND METHODS The cohort included 240 and 204 HNC patients in the training and validation analysis, respectively. Clinical variables were scored prospectively and IBMs of the primary tumor and lymph nodes were extracted from planning CT-images. Clinical, IBM and combined models were created from multivariable Cox proportional-hazard analyses based on clinical features, IBMs, and both for LC, RC, DMFS and DFS. RESULTS Clinical variables identified in the multivariable analysis included tumor-site, WHO performance-score, tumor-stage and age. Bounding-box-volume describing the tumor volume and irregular shape, IBM correlation representing radiological heterogeneity, and LN_major-axis-length showing the distance between lymph nodes were included in the IBM models. The performance of IBM LC, RC, DMFS and DFS models (c-index(validated):0.62, 0.80, 0.68 and 0.65) were comparable to that of the clinical models (0.62, 0.76, 0.70 and 0.66). The combined DFS model (0.70) including clinical features and IBMs performed significantly better than the clinical model. Patients stratified with the combined models revealed larger differences between risk groups in the validation cohort than with clinical models for LC, RC and DFS. For DMFS, the differences were similar to the clinical model. CONCLUSION For prediction of HNC treatment outcomes, image-biomarkers performed as good as or slightly better than clinical variables.
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Affiliation(s)
- Tian-Tian Zhai
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Department of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China.
| | - Johannes A Langendijk
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Lisanne V van Dijk
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Gyorgy B Halmos
- Department of Otorhinolaryngology, Head and Neck Surgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Max J H Witjes
- Department of Maxillofacial Surgery, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Sjoukje F Oosting
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Walter Noordzij
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Nanna M Sijtsema
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Roel J H M Steenbakkers
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
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Huang Y, Chen W, Haque W, Verma V, Xing Y, Teh BS, Brian Butler E. The impact of comorbidity on overall survival in elderly nasopharyngeal carcinoma patients: a National Cancer Data Base analysis. Cancer Med 2018; 7:1093-1101. [PMID: 29493889 PMCID: PMC5911579 DOI: 10.1002/cam4.1377] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 10/30/2017] [Accepted: 11/29/2017] [Indexed: 11/25/2022] Open
Abstract
The number of elderly patients with cancer is increasing. Medical comorbidities are more common in this population. Little is known regarding the prognostic relevance of comorbidities in elderly patients with nasopharyngeal carcinoma (NPC). Using the National Cancer Data Base (NCDB), we queried patients age >65 years diagnosed with NPC and treated with definitive radiation between 2004 and 2012 to examine the association between comorbidity and survival outcomes. Comorbidity was assessed with the Charlson Comorbidity Index (CCI). The influence of comorbidity on overall survival (OS) was evaluated. Cox proportional hazards model was used to study the impact of comorbidity on OS. A total of 1137 patients met the specified criteria. Median follow-up was 61.2 months. Five-year OS was 50.4%. Comorbidities were present in 22.4% of patients, with 17.6% of patients having a CCI score of 1% and 4.8% having a CCI score of ≥2. Patients with a CCI score of 0 had significantly higher 5-year OS than patients with a CCI score of 1 or ≥2 (53.1% vs. 42.2% vs. 32.9%, P < 0.001). In multivariate analysis, CCI was a statistically significant independent prognostic factor for the risk of death of all causes for patients with a CCI score of 1 (hazard ratio [HR]: 1.242; 95% confidence interval [CI]: 1.002-1.539) or CCI score of ≥2 (HR: 1.625; 95% CI: 1.157-2.283) when compared to patients with a CCI score of 0. Comorbidity as measured by CCI is a strong independent prognostic factor for OS in elderly patients with NPC and lends support to the inclusion of comorbidity assessment due to its prognostic value when treating elderly patients with NPC.
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Affiliation(s)
- Ying Huang
- State Key Laboratory of Oncology in South ChinaDepartment of Radiation OncologyCollaborative Innovation Center for Cancer MedicineSun Yat‐sen University Cancer CenterGuangzhouChina
- Department of Radiation OncologyHouston Methodist HospitalHoustonTexasUSA
| | - Wei Chen
- Department of Radiation OncologyHouston Methodist HospitalHoustonTexasUSA
- Department of General SurgeryGuangdong General HospitalGuangzhouChina
| | - Waqar Haque
- Department of Radiation OncologyHouston Methodist HospitalHoustonTexasUSA
| | - Vivek Verma
- Department of Radiation OncologyAllegheny General HospitalPittsburghPennsylvaniaUSA
| | - Yan Xing
- Department of Hematology & OncologyHouston Methodist HospitalHoustonTXUSA
| | - Bin S. Teh
- Department of Radiation OncologyHouston Methodist HospitalHoustonTexasUSA
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Guo R, Mao YP, Chen L, Tang LL, Zhou GQ, Liu LZ, Tian L, Zeng MS, Jia WH, Shao JY, Lin AH, Ma J. Implication of comorbidity on the initiation of chemotherapy and survival outcomes in patients with locoregionally advanced nasopharyngeal carcinoma. Oncotarget 2018; 8:10594-10601. [PMID: 27070084 PMCID: PMC5354683 DOI: 10.18632/oncotarget.8621] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2015] [Accepted: 03/14/2016] [Indexed: 11/25/2022] Open
Abstract
Background To assess the impact of comorbidity on the initiation of chemotherapy and its ultimate treatment outcomes in patients with locoregionally advanced nasopharyngeal carcinoma (NPC). Methods Data on 1316 patients with NPC treated between February 2003 and January 2007 was retrospectively reviewed. Comorbidity was assessed using the Adult Comorbidity Evaluation-27 (ACE-27) system. The association of various factors with chemotherapy was evaluated. And treatment outcomes of chemoradiotherapy regimes in patients with comorbidity were compared. Results Comorbidity was present in 42.2% of patients; mild, moderate and severe comorbidity were observed in 33.6%, 8.1% and 0.5% of patients, respectively. Comorbidity (as indicated by ACE-27 score) was a negative prognostic factor for overall survival (OS) (hazard ratio HR=1.577; P < 0.001) and disease-free survival (DFS) (HR=1.509; P < 0.001). In stage III-IV NPC, T classification, N classification, age, sex and hemoglobin before treatment were significant predictors of the initiation of chemotherapy (P < 0.05). Additionally, in stage III-IV patients with comorbidity (ACE >0), 5-year OS for the concomitant chemoradiotherapy group (CCRT) was 74.5% vs. 56.9% in the radiotherapy (RT) only group (P = 0.008), the 5-year DFS rate was 64.0% in the CCRT group vs. 49.4% for RT only (P = 0.015). Conclusions Comorbidity should be assessed during treatment strategy decision-making to improve survival in NPC. Concomitant chemoradiotherapy is feasible and effective in patients with comorbidity in locoregionally advanced stages.
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Affiliation(s)
- Rui Guo
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center of Cancer Medicine, People's Republic of China
| | - Yan-Ping Mao
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center of Cancer Medicine, People's Republic of China
| | - Lei Chen
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center of Cancer Medicine, People's Republic of China
| | - Ling-Long Tang
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center of Cancer Medicine, People's Republic of China
| | - Guan-Qun Zhou
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center of Cancer Medicine, People's Republic of China
| | - Li-Zhi Liu
- Imaging Diagnosis and Interventional Center, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center of Cancer Medicine, People's Republic of China
| | - Li Tian
- Imaging Diagnosis and Interventional Center, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center of Cancer Medicine, People's Republic of China
| | - Mu-Sheng Zeng
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center of Cancer Medicine, People's Republic of China
| | - Wei-Hua Jia
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center of Cancer Medicine, People's Republic of China
| | - Jian-Yong Shao
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center of Cancer Medicine, People's Republic of China
| | - Ai-Hua Lin
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Jun Ma
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center of Cancer Medicine, People's Republic of China
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van Deudekom FJ, Schimberg AS, Kallenberg MH, Slingerland M, van der Velden LA, Mooijaart SP. Functional and cognitive impairment, social environment, frailty and adverse health outcomes in older patients with head and neck cancer, a systematic review. Oral Oncol 2017; 64:27-36. [DOI: 10.1016/j.oraloncology.2016.11.013] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2016] [Revised: 10/24/2016] [Accepted: 11/24/2016] [Indexed: 12/13/2022]
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Hall SF, Griffiths R. Did the addition of concomitant chemotherapy to radiotherapy improve outcomes in hypopharyngeal cancer? A population-based study. ACTA ACUST UNITED AC 2016; 23:266-72. [PMID: 27536177 DOI: 10.3747/co.23.3085] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND For oncologists and for patients, no site-specific clinical trial evidence has emerged for the use of concurrent chemotherapy with radiotherapy (ccrt) over radiotherapy (rt) alone for cancer of the hypopharynx (hpc) or for other human papilloma virus-negative head-and-neck cancers. METHODS This retrospective population-based cohort study using administrative data compared treatments over time (1990-2000 vs. 2000-2010), treatment outcomes, and outcomes over time in 1333 cases of hpc diagnosed in Ontario between January 1990 and December 2010. RESULTS The incidence of hpc is declining; the use of ccrt that began in 2001 is increasing; and the 3-year overall survival for all patients remains poor at 34.6%. No difference in overall survival was observed in a comparison of patients treated in the decade before ccrt and of patients treated in the decade during the uptake of ccrt. CONCLUSIONS The addition of ccrt to the armamentarium of treatment options for oncologists treating head-and-neck patients did not improve outcomes for hpc at the population level.
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Affiliation(s)
- S F Hall
- Department of Otolaryngology/Head and Neck Surgery, Kingston, ON
| | - R Griffiths
- ices Queen's, Queen's University, Kingston, ON
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Guo R, Chen XZ, Chen L, Jiang F, Tang LL, Mao YP, Zhou GQ, Li WF, Liu LZ, Tian L, Lin AH, Ma J. Comorbidity predicts poor prognosis in nasopharyngeal carcinoma: development and validation of a predictive score model. Radiother Oncol 2015; 114:249-56. [PMID: 25618213 DOI: 10.1016/j.radonc.2014.12.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2014] [Revised: 12/05/2014] [Accepted: 12/13/2014] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND PURPOSE The impact of comorbidity on prognosis in nasopharyngeal carcinoma (NPC) is poorly characterized. MATERIAL AND METHODS Using the Adult Comorbidity Evaluation-27 (ACE-27) system, we assessed the prognostic value of comorbidity and developed, validated and confirmed a predictive score model in a training set (n=658), internal validation set (n=658) and independent set (n=652) using area under the receiver operating curve analysis. RESULTS Comorbidity was present in 40.4% of 1968 patients (mild, 30.1%; moderate, 9.1%; severe, 1.2%). Compared to an ACE-27 score ⩽1, patients with an ACE-27 score >1 in the training set had shorter overall survival (OS) and disease-free survival (DFS) (both P<0.001), similar results were obtained in the other sets (P<0.05). In multivariate analysis, ACE-27 score was a significant independent prognostic factor for OS and DFS. The combined risk score model including ACE-27 had superior prognostic value to TNM stage alone in the internal validation set (0.70 vs. 0.66; P=0.02), independent set (0.73 vs. 0.67; P=0.002) and all patients (0.71 vs. 0.67; P<0.001). CONCLUSIONS Comorbidity significantly affects prognosis, especially in stages II and III, and should be incorporated into the TNM staging system for NPC. Assessment of comorbidity may improve outcome prediction and help tailor individualized treatment.
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Affiliation(s)
- Rui Guo
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, People's Republic of China
| | - Xiao-Zhong Chen
- Department of Radiation Oncology, Zhejiang Cancer Hospital, People's Republic of China
| | - Lei Chen
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, People's Republic of China
| | - Feng Jiang
- Department of Radiation Oncology, Zhejiang Cancer Hospital, People's Republic of China
| | - Ling-Long Tang
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, People's Republic of China
| | - Yan-Ping Mao
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, People's Republic of China
| | - Guan-Qun Zhou
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, People's Republic of China
| | - Wen-Fei Li
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, People's Republic of China
| | - Li-Zhi Liu
- Imaging Diagnosis and Interventional Center, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, People's Republic of China
| | - Li Tian
- Imaging Diagnosis and Interventional Center, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, People's Republic of China
| | - Ai-Hua Lin
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, People's Republic of China
| | - Jun Ma
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, People's Republic of China.
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Pyriform sinus squamous cell carcinoma: oncological outcomes in good responders of induction chemotherapy-based larynx preservation protocols. Eur Arch Otorhinolaryngol 2014; 272:1725-31. [PMID: 24854231 DOI: 10.1007/s00405-014-3081-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2014] [Accepted: 04/29/2014] [Indexed: 10/25/2022]
Abstract
Induction chemotherapy-based larynx preservation protocols use chemotherapy to select exclusively patients with 'chemosensitive' tumors for a nonsurgical treatment with radiation therapy. This study on pyriform sinus squamous cell carcinoma (SCC) is interested in the oncological outcome of treatment based on radiation therapy when offered to patients with tumors responding to induction chemotherapy. This was a retrospective cohort study. The cohort included good responders to induction chemotherapy, subsequently treated with definite radiation therapy (with or without concomitant chemotherapy) for pyriform sinus SCC, in a tertiary referral cancer center. The primary endpoints were overall, laryngectomy-free and disease-free survival and the secondary endpoints were analysis of treatment failures and possibilities of salvage treatment. Forty-two patients fulfilled the inclusion criteria and were retained for analysis; 7% were stage II (3/42), 48% stage III (20/42) and 45% stage IV (19/42). At 1, 3 and 5 years, the overall survival was 95% (40/42), 74% (31/42), and 60% (SE ≈ 0.08), respectively. For the same intervals, the laryngectomy-free survival was 90% (38/42), 69% (29/42) and 50% (SE ≈ 0.08), respectively. The estimated 5-year disease-free survival was also 50%. Disease-free survival was significantly better for N0 patients. There was a 28% recurrence rate, mainly in the primary tumor site (9/11), with or without simultaneous nodal recurrence. Interestingly, more than one-third of all oncologic failures occurred beyond the first 3 years of follow-up. Salvage treatment was not possible or definitely inefficient in at least 2/3 of all recurrences. In candidates for larynx preservation for a pyriform sinus SCC, good response to induction chemotherapy followed by definite radiation therapy seems to be associated with a more favorable prognosis. Nevertheless, in case of locoregional recurrence the possibilities for efficient salvage treatment are limited.
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Bøje CR. Impact of comorbidity on treatment outcome in head and neck squamous cell carcinoma – A systematic review. Radiother Oncol 2014; 110:81-90. [DOI: 10.1016/j.radonc.2013.07.005] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2013] [Revised: 07/14/2013] [Accepted: 07/15/2013] [Indexed: 10/26/2022]
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Habbous S, Harland LTG, La Delfa A, Fadhel E, Xu W, Liu FF, Goldstein D, Waldron J, Huang SH, O'Sullivan B, Liu G. Comorbidity and prognosis in head and neck cancers: Differences by subsite, stage, and human papillomavirus status. Head Neck 2013; 36:802-10. [DOI: 10.1002/hed.23360] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2012] [Revised: 02/01/2013] [Accepted: 04/11/2013] [Indexed: 01/16/2023] Open
Affiliation(s)
- Steven Habbous
- Department of Medicine, Medical Biophysics, and Epidemiology; Ontario Cancer Institute, Princess Margaret Hospital/University Health Network; Toronto Ontario Canada
- Department of Biostatistics; Princess Margaret Hospital; Toronto Ontario Canada
| | - Luke T. G. Harland
- Department of Medicine, Medical Biophysics, and Epidemiology; Ontario Cancer Institute, Princess Margaret Hospital/University Health Network; Toronto Ontario Canada
| | - Anthony La Delfa
- Department of Medicine, Medical Biophysics, and Epidemiology; Ontario Cancer Institute, Princess Margaret Hospital/University Health Network; Toronto Ontario Canada
| | - Ehab Fadhel
- Department of Medicine, Medical Biophysics, and Epidemiology; Ontario Cancer Institute, Princess Margaret Hospital/University Health Network; Toronto Ontario Canada
| | - Wei Xu
- Department of Medicine, Medical Biophysics, and Epidemiology; Ontario Cancer Institute, Princess Margaret Hospital/University Health Network; Toronto Ontario Canada
- Department of Biostatistics; Princess Margaret Hospital; Toronto Ontario Canada
| | - Fei-Fei Liu
- Department of Medicine, Medical Biophysics, and Epidemiology; Ontario Cancer Institute, Princess Margaret Hospital/University Health Network; Toronto Ontario Canada
- Department of Radiation Oncology; University of Toronto; Toronto Ontario Canada
| | - David Goldstein
- Department of Otolaryngology - Head and Neck Surgery; Princess Margaret Cancer Centre; University Health Network, University of Toronto; Toronto Ontario Canada
| | - John Waldron
- Department of Medicine, Medical Biophysics, and Epidemiology; Ontario Cancer Institute, Princess Margaret Hospital/University Health Network; Toronto Ontario Canada
- Department of Radiation Oncology; University of Toronto; Toronto Ontario Canada
| | - Shao-Hui Huang
- Department of Medicine, Medical Biophysics, and Epidemiology; Ontario Cancer Institute, Princess Margaret Hospital/University Health Network; Toronto Ontario Canada
- Department of Radiation Oncology; University of Toronto; Toronto Ontario Canada
| | - Brian O'Sullivan
- Department of Medicine, Medical Biophysics, and Epidemiology; Ontario Cancer Institute, Princess Margaret Hospital/University Health Network; Toronto Ontario Canada
- Department of Radiation Oncology; University of Toronto; Toronto Ontario Canada
| | - Geoffrey Liu
- Department of Medicine, Medical Biophysics, and Epidemiology; Ontario Cancer Institute, Princess Margaret Hospital/University Health Network; Toronto Ontario Canada
- Department of Medical Biophysics and Epidemiology; Division of Epidemiology; Dalla Lana School of Public Health; University of Toronto; Toronto Ontario Canada
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Chedid HM, Franzi SA, Rapoport A, Curioni OA. Impact of combination therapy on disease free survival in hypopharynx cancer. Rev Col Bras Cir 2011; 37:385-9. [PMID: 21340251 DOI: 10.1590/s0100-69912010000600002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2009] [Accepted: 12/14/2009] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVE To evaluate the disease-free survival in hypopharyngeal tumors submitted to postoperative radiotherapy. METHODS we retrospectively studied 174 patients with the following distribution: two cases of stage I, four stage II, 46 stage III and 122 stage IV. Regarding gender, 163 were male and 11 female; mean age was 56 years. All patients underwent pharyngolaryngectomy; neck dissections were radical in 206 and selective in 16. One hundred six patients underwent postoperative radiotherapy, with a mean dose of 58.2 Gy. RESULTS Histological examination showed two cases of stage pT1, 15 stage pT2, 100 stage pT3 and 57 stage pT4. As for lymph nodes, 25 patients had no involvement (pN0); 149 presented with lymph node invasion (pN +). Five-year disease-free survival was 40% and the overall survival was 28%. According to the results of histological examination, five-year disease-free survival was 75% in clinical stage III versus 28% in IV. CONCLUSION The initial manifestation of squamous cell carcinoma of the hypopharynx happens in advanced stages (III and IV), with superior five-year disease-free survival in clinical stage III.
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Affiliation(s)
- Helma Maria Chedid
- Departamento de Cirurgia de Cabeça e Pescoço e Otorrinolaringologia, Hospital Heliópolis, São Paulo, BR
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Current world literature. Curr Opin Otolaryngol Head Neck Surg 2010; 18:134-45. [PMID: 20234215 DOI: 10.1097/moo.0b013e3283383ef9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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