Prognostic factors and risk-stratification model of recurrent or metastatic head and neck squamous cell carcinoma treated with cetuximab containing regimen
In recent years, the addition of cetuximab to chemotherapy has improved treatment outcomes for patients with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). In this study, we present the real-world survival data of R/M HNSCC patients who received cetuximab-containing regimens...
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Published in: | BMC cancer Vol. 24; no. 1; pp. 1227 - 11 |
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05-10-2024
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Abstract | In recent years, the addition of cetuximab to chemotherapy has improved treatment outcomes for patients with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). In this study, we present the real-world survival data of R/M HNSCC patients who received cetuximab-containing regimens from thirteen medical centers in Taiwan, as well as a three-level risk stratification model for this patient population.
This study enrolled R/M HNSCC patients from thirteen medical centers in Taiwan who received cetuximab-containing regimens from January 1, 2017 to June 6, 2022. The cases were divided into a training cohort and a validation cohort based on the start of treatment. Overall survival (OS) was evaluated in both cohorts and exploratory analysis was performed to identify associated adverse clinical and laboratory factors. The results of the exploratory analysis were used to construct a three-level risk stratification prediction model for OS.
A total of 1434 patients with R/M HNSCC were enrolled in this study and received cetuximab-containing regimens. The overall population had a median OS of 8.57 months (95% CI: 8.07 - 9.08). Multivariate analysis of the training cohort identified poor ECOG performance status, heavy alcohol consumption, and prior adjuvant CCRT or lack of prior RT as adverse prognostic factors. Comparison of laboratory data between patients with OS≦6 and OS > 6 also revealed unfavorable factors, including increased white blood cell count, decreased hemoglobin level, increased platelet count, increased absolute neutrophil count, decreased absolute lymphocyte count, and increased neutrophil-to-lymphocyte ratio. Using forward prediction, a three-level risk stratification prediction model was constructed using the variables of ECOG performance status, alcohol consumption, skin metastasis, modality of radiation therapy, hemoglobin level, and neutrophil-to-lymphocyte ratio. The median OS in the low-risk, intermediate-risk, and high-risk groups were 12.02 months (95% CI 10.44-13.61), 7.5 months (95% CI 7.33-8.17), and 4.01 months (95% CI 3.94-4.08), respectively, with a log-rank test p-value < 0.001.
This study presents a three-level risk stratification model with strong prediction ability for OS in R/M HNSCC patients who received cetuximab-containing regimens. The results are based on real-world data and may provide valuable information for clinicians in treatment planning and future drug development. |
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AbstractList | BackgroundIn recent years, the addition of cetuximab to chemotherapy has improved treatment outcomes for patients with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). In this study, we present the real-world survival data of R/M HNSCC patients who received cetuximab-containing regimens from thirteen medical centers in Taiwan, as well as a three-level risk stratification model for this patient population.MethodsThis study enrolled R/M HNSCC patients from thirteen medical centers in Taiwan who received cetuximab-containing regimens from January 1, 2017 to June 6, 2022. The cases were divided into a training cohort and a validation cohort based on the start of treatment. Overall survival (OS) was evaluated in both cohorts and exploratory analysis was performed to identify associated adverse clinical and laboratory factors. The results of the exploratory analysis were used to construct a three-level risk stratification prediction model for OS.ResultsA total of 1434 patients with R/M HNSCC were enrolled in this study and received cetuximab-containing regimens. The overall population had a median OS of 8.57 months (95% CI: 8.07 – 9.08). Multivariate analysis of the training cohort identified poor ECOG performance status, heavy alcohol consumption, and prior adjuvant CCRT or lack of prior RT as adverse prognostic factors. Comparison of laboratory data between patients with OS≦6 and OS > 6 also revealed unfavorable factors, including increased white blood cell count, decreased hemoglobin level, increased platelet count, increased absolute neutrophil count, decreased absolute lymphocyte count, and increased neutrophil-to-lymphocyte ratio. Using forward prediction, a three-level risk stratification prediction model was constructed using the variables of ECOG performance status, alcohol consumption, skin metastasis, modality of radiation therapy, hemoglobin level, and neutrophil-to-lymphocyte ratio. The median OS in the low-risk, intermediate-risk, and high-risk groups were 12.02 months (95% CI 10.44–13.61), 7.5 months (95% CI 7.33–8.17), and 4.01 months (95% CI 3.94–4.08), respectively, with a log-rank test p-value < 0.001.ConclusionThis study presents a three-level risk stratification model with strong prediction ability for OS in R/M HNSCC patients who received cetuximab-containing regimens. The results are based on real-world data and may provide valuable information for clinicians in treatment planning and future drug development. In recent years, the addition of cetuximab to chemotherapy has improved treatment outcomes for patients with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). In this study, we present the real-world survival data of R/M HNSCC patients who received cetuximab-containing regimens from thirteen medical centers in Taiwan, as well as a three-level risk stratification model for this patient population.BACKGROUNDIn recent years, the addition of cetuximab to chemotherapy has improved treatment outcomes for patients with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). In this study, we present the real-world survival data of R/M HNSCC patients who received cetuximab-containing regimens from thirteen medical centers in Taiwan, as well as a three-level risk stratification model for this patient population.This study enrolled R/M HNSCC patients from thirteen medical centers in Taiwan who received cetuximab-containing regimens from January 1, 2017 to June 6, 2022. The cases were divided into a training cohort and a validation cohort based on the start of treatment. Overall survival (OS) was evaluated in both cohorts and exploratory analysis was performed to identify associated adverse clinical and laboratory factors. The results of the exploratory analysis were used to construct a three-level risk stratification prediction model for OS.METHODSThis study enrolled R/M HNSCC patients from thirteen medical centers in Taiwan who received cetuximab-containing regimens from January 1, 2017 to June 6, 2022. The cases were divided into a training cohort and a validation cohort based on the start of treatment. Overall survival (OS) was evaluated in both cohorts and exploratory analysis was performed to identify associated adverse clinical and laboratory factors. The results of the exploratory analysis were used to construct a three-level risk stratification prediction model for OS.A total of 1434 patients with R/M HNSCC were enrolled in this study and received cetuximab-containing regimens. The overall population had a median OS of 8.57 months (95% CI: 8.07 - 9.08). Multivariate analysis of the training cohort identified poor ECOG performance status, heavy alcohol consumption, and prior adjuvant CCRT or lack of prior RT as adverse prognostic factors. Comparison of laboratory data between patients with OS≦6 and OS > 6 also revealed unfavorable factors, including increased white blood cell count, decreased hemoglobin level, increased platelet count, increased absolute neutrophil count, decreased absolute lymphocyte count, and increased neutrophil-to-lymphocyte ratio. Using forward prediction, a three-level risk stratification prediction model was constructed using the variables of ECOG performance status, alcohol consumption, skin metastasis, modality of radiation therapy, hemoglobin level, and neutrophil-to-lymphocyte ratio. The median OS in the low-risk, intermediate-risk, and high-risk groups were 12.02 months (95% CI 10.44-13.61), 7.5 months (95% CI 7.33-8.17), and 4.01 months (95% CI 3.94-4.08), respectively, with a log-rank test p-value < 0.001.RESULTSA total of 1434 patients with R/M HNSCC were enrolled in this study and received cetuximab-containing regimens. The overall population had a median OS of 8.57 months (95% CI: 8.07 - 9.08). Multivariate analysis of the training cohort identified poor ECOG performance status, heavy alcohol consumption, and prior adjuvant CCRT or lack of prior RT as adverse prognostic factors. Comparison of laboratory data between patients with OS≦6 and OS > 6 also revealed unfavorable factors, including increased white blood cell count, decreased hemoglobin level, increased platelet count, increased absolute neutrophil count, decreased absolute lymphocyte count, and increased neutrophil-to-lymphocyte ratio. Using forward prediction, a three-level risk stratification prediction model was constructed using the variables of ECOG performance status, alcohol consumption, skin metastasis, modality of radiation therapy, hemoglobin level, and neutrophil-to-lymphocyte ratio. The median OS in the low-risk, intermediate-risk, and high-risk groups were 12.02 months (95% CI 10.44-13.61), 7.5 months (95% CI 7.33-8.17), and 4.01 months (95% CI 3.94-4.08), respectively, with a log-rank test p-value < 0.001.This study presents a three-level risk stratification model with strong prediction ability for OS in R/M HNSCC patients who received cetuximab-containing regimens. The results are based on real-world data and may provide valuable information for clinicians in treatment planning and future drug development.CONCLUSIONThis study presents a three-level risk stratification model with strong prediction ability for OS in R/M HNSCC patients who received cetuximab-containing regimens. The results are based on real-world data and may provide valuable information for clinicians in treatment planning and future drug development. Abstract Background In recent years, the addition of cetuximab to chemotherapy has improved treatment outcomes for patients with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). In this study, we present the real-world survival data of R/M HNSCC patients who received cetuximab-containing regimens from thirteen medical centers in Taiwan, as well as a three-level risk stratification model for this patient population. Methods This study enrolled R/M HNSCC patients from thirteen medical centers in Taiwan who received cetuximab-containing regimens from January 1, 2017 to June 6, 2022. The cases were divided into a training cohort and a validation cohort based on the start of treatment. Overall survival (OS) was evaluated in both cohorts and exploratory analysis was performed to identify associated adverse clinical and laboratory factors. The results of the exploratory analysis were used to construct a three-level risk stratification prediction model for OS. Results A total of 1434 patients with R/M HNSCC were enrolled in this study and received cetuximab-containing regimens. The overall population had a median OS of 8.57 months (95% CI: 8.07 – 9.08). Multivariate analysis of the training cohort identified poor ECOG performance status, heavy alcohol consumption, and prior adjuvant CCRT or lack of prior RT as adverse prognostic factors. Comparison of laboratory data between patients with OS≦6 and OS > 6 also revealed unfavorable factors, including increased white blood cell count, decreased hemoglobin level, increased platelet count, increased absolute neutrophil count, decreased absolute lymphocyte count, and increased neutrophil-to-lymphocyte ratio. Using forward prediction, a three-level risk stratification prediction model was constructed using the variables of ECOG performance status, alcohol consumption, skin metastasis, modality of radiation therapy, hemoglobin level, and neutrophil-to-lymphocyte ratio. The median OS in the low-risk, intermediate-risk, and high-risk groups were 12.02 months (95% CI 10.44–13.61), 7.5 months (95% CI 7.33–8.17), and 4.01 months (95% CI 3.94–4.08), respectively, with a log-rank test p-value < 0.001. Conclusion This study presents a three-level risk stratification model with strong prediction ability for OS in R/M HNSCC patients who received cetuximab-containing regimens. The results are based on real-world data and may provide valuable information for clinicians in treatment planning and future drug development. In recent years, the addition of cetuximab to chemotherapy has improved treatment outcomes for patients with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). In this study, we present the real-world survival data of R/M HNSCC patients who received cetuximab-containing regimens from thirteen medical centers in Taiwan, as well as a three-level risk stratification model for this patient population. This study enrolled R/M HNSCC patients from thirteen medical centers in Taiwan who received cetuximab-containing regimens from January 1, 2017 to June 6, 2022. The cases were divided into a training cohort and a validation cohort based on the start of treatment. Overall survival (OS) was evaluated in both cohorts and exploratory analysis was performed to identify associated adverse clinical and laboratory factors. The results of the exploratory analysis were used to construct a three-level risk stratification prediction model for OS. A total of 1434 patients with R/M HNSCC were enrolled in this study and received cetuximab-containing regimens. The overall population had a median OS of 8.57 months (95% CI: 8.07 - 9.08). Multivariate analysis of the training cohort identified poor ECOG performance status, heavy alcohol consumption, and prior adjuvant CCRT or lack of prior RT as adverse prognostic factors. Comparison of laboratory data between patients with OS≦6 and OS > 6 also revealed unfavorable factors, including increased white blood cell count, decreased hemoglobin level, increased platelet count, increased absolute neutrophil count, decreased absolute lymphocyte count, and increased neutrophil-to-lymphocyte ratio. Using forward prediction, a three-level risk stratification prediction model was constructed using the variables of ECOG performance status, alcohol consumption, skin metastasis, modality of radiation therapy, hemoglobin level, and neutrophil-to-lymphocyte ratio. The median OS in the low-risk, intermediate-risk, and high-risk groups were 12.02 months (95% CI 10.44-13.61), 7.5 months (95% CI 7.33-8.17), and 4.01 months (95% CI 3.94-4.08), respectively, with a log-rank test p-value < 0.001. This study presents a three-level risk stratification model with strong prediction ability for OS in R/M HNSCC patients who received cetuximab-containing regimens. The results are based on real-world data and may provide valuable information for clinicians in treatment planning and future drug development. In recent years, the addition of cetuximab to chemotherapy has improved treatment outcomes for patients with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). In this study, we present the real-world survival data of R/M HNSCC patients who received cetuximab-containing regimens from thirteen medical centers in Taiwan, as well as a three-level risk stratification model for this patient population. This study enrolled R/M HNSCC patients from thirteen medical centers in Taiwan who received cetuximab-containing regimens from January 1, 2017 to June 6, 2022. The cases were divided into a training cohort and a validation cohort based on the start of treatment. Overall survival (OS) was evaluated in both cohorts and exploratory analysis was performed to identify associated adverse clinical and laboratory factors. The results of the exploratory analysis were used to construct a three-level risk stratification prediction model for OS. A total of 1434 patients with R/M HNSCC were enrolled in this study and received cetuximab-containing regimens. The overall population had a median OS of 8.57 months (95% CI: 8.07 - 9.08). Multivariate analysis of the training cohort identified poor ECOG performance status, heavy alcohol consumption, and prior adjuvant CCRT or lack of prior RT as adverse prognostic factors. Comparison of laboratory data between patients with OSâ¦6 and OS > 6 also revealed unfavorable factors, including increased white blood cell count, decreased hemoglobin level, increased platelet count, increased absolute neutrophil count, decreased absolute lymphocyte count, and increased neutrophil-to-lymphocyte ratio. Using forward prediction, a three-level risk stratification prediction model was constructed using the variables of ECOG performance status, alcohol consumption, skin metastasis, modality of radiation therapy, hemoglobin level, and neutrophil-to-lymphocyte ratio. The median OS in the low-risk, intermediate-risk, and high-risk groups were 12.02 months (95% CI 10.44-13.61), 7.5 months (95% CI 7.33-8.17), and 4.01 months (95% CI 3.94-4.08), respectively, with a log-rank test p-value < 0.001. This study presents a three-level risk stratification model with strong prediction ability for OS in R/M HNSCC patients who received cetuximab-containing regimens. The results are based on real-world data and may provide valuable information for clinicians in treatment planning and future drug development. Background In recent years, the addition of cetuximab to chemotherapy has improved treatment outcomes for patients with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC). In this study, we present the real-world survival data of R/M HNSCC patients who received cetuximab-containing regimens from thirteen medical centers in Taiwan, as well as a three-level risk stratification model for this patient population. Methods This study enrolled R/M HNSCC patients from thirteen medical centers in Taiwan who received cetuximab-containing regimens from January 1, 2017 to June 6, 2022. The cases were divided into a training cohort and a validation cohort based on the start of treatment. Overall survival (OS) was evaluated in both cohorts and exploratory analysis was performed to identify associated adverse clinical and laboratory factors. The results of the exploratory analysis were used to construct a three-level risk stratification prediction model for OS. Results A total of 1434 patients with R/M HNSCC were enrolled in this study and received cetuximab-containing regimens. The overall population had a median OS of 8.57 months (95% CI: 8.07 - 9.08). Multivariate analysis of the training cohort identified poor ECOG performance status, heavy alcohol consumption, and prior adjuvant CCRT or lack of prior RT as adverse prognostic factors. Comparison of laboratory data between patients with OSâ¦6 and OS > 6 also revealed unfavorable factors, including increased white blood cell count, decreased hemoglobin level, increased platelet count, increased absolute neutrophil count, decreased absolute lymphocyte count, and increased neutrophil-to-lymphocyte ratio. Using forward prediction, a three-level risk stratification prediction model was constructed using the variables of ECOG performance status, alcohol consumption, skin metastasis, modality of radiation therapy, hemoglobin level, and neutrophil-to-lymphocyte ratio. The median OS in the low-risk, intermediate-risk, and high-risk groups were 12.02 months (95% CI 10.44-13.61), 7.5 months (95% CI 7.33-8.17), and 4.01 months (95% CI 3.94-4.08), respectively, with a log-rank test p-value < 0.001. Conclusion This study presents a three-level risk stratification model with strong prediction ability for OS in R/M HNSCC patients who received cetuximab-containing regimens. The results are based on real-world data and may provide valuable information for clinicians in treatment planning and future drug development. Keywords: Cetuximab, Head and neck squamous cell carcinoma, Prognostic factor, Risk-stratification model |
ArticleNumber | 1227 |
Audience | Academic |
Author | Yen, Chia-Jui Wang, Chen-Chi Lien, Ming-Yu Huang, Tai-Lin Chien, Chih-Yen Hsieh, Jason Chia-Hsun Yiu, Ching-Yi Chen, Jo-Pai Chang, Yi-Fang Wang, Hui-Ching Lu, Wei-Chen Wang, Hung-Ming Hua, Chun-Hung Huang, Huai-Cheng Chu, Pen-Yuan Wu, Shang-Yin Lin, Jin-Ching Liu, Yi-Chun Chen, Tien-Hua Lin, Chien-Liang Yang, Muh-Hwa Lou, Pei-Jen Hsieh, Meng-Che Lu, Hsueh-Ju |
Author_xml | – sequence: 1 givenname: Muh-Hwa surname: Yang fullname: Yang, Muh-Hwa organization: Department of Oncology, Division of Medical Oncology, Taipei Veterans General Hospital, Taipei, Taiwan – sequence: 2 givenname: Tien-Hua surname: Chen fullname: Chen, Tien-Hua organization: Department of Oncology, Division of Medical Oncology, Taipei Veterans General Hospital, Taipei, Taiwan – sequence: 3 givenname: Hung-Ming surname: Wang fullname: Wang, Hung-Ming organization: Department of Internal Medicine, Division of Hematology-Oncology, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan – sequence: 4 givenname: Jason Chia-Hsun surname: Hsieh fullname: Hsieh, Jason Chia-Hsun organization: Department of Internal Medicine, Division of Hematology-Oncology, New Taipei City Municipal TuCheng Hospital, New Taipei City, Taiwan – sequence: 5 givenname: Huai-Cheng surname: Huang fullname: Huang, Huai-Cheng organization: Department of Oncology, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan – sequence: 6 givenname: Meng-Che surname: Hsieh fullname: Hsieh, Meng-Che organization: Department of Hematology and Oncology, E-Da Cancer Hospital, Kaohsiung, Taiwan – sequence: 7 givenname: Chia-Jui surname: Yen fullname: Yen, Chia-Jui organization: Department of Oncology, National Cheng Kung University Hospital, Tainan, Taiwan – sequence: 8 givenname: Shang-Yin surname: Wu fullname: Wu, Shang-Yin organization: Department of Oncology, National Cheng Kung University Hospital, Tainan, Taiwan – sequence: 9 givenname: Chun-Hung surname: Hua fullname: Hua, Chun-Hung organization: Department of Otorhinolaryngology, China Medical University Hospital, Taichung, Taiwan – sequence: 10 givenname: Ming-Yu surname: Lien fullname: Lien, Ming-Yu organization: Department of Internal Medicine, Division of Hematology and Oncology, China Medical University Hospital, Taichung, Taiwan – sequence: 11 givenname: Yi-Fang surname: Chang fullname: Chang, Yi-Fang organization: Department of Hematology, MacKay Memorial Hospital, Taipei, Taiwan – sequence: 12 givenname: Hui-Ching surname: Wang fullname: Wang, Hui-Ching organization: Department of Internal Medicine, Division of Hematology and Oncology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan – sequence: 13 givenname: Chih-Yen surname: Chien fullname: Chien, Chih-Yen organization: Department of Otolaryngology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung City, Taiwan – sequence: 14 givenname: Tai-Lin surname: Huang fullname: Huang, Tai-Lin organization: Department of Hematology-Oncology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan – sequence: 15 givenname: Hsueh-Ju surname: Lu fullname: Lu, Hsueh-Ju organization: Department of Internal Medicine, Division of Hematology and Oncology, Chung Shan Medical University Hospital, Taichung, Taiwan – sequence: 16 givenname: Jin-Ching surname: Lin fullname: Lin, Jin-Ching organization: Department of Radiation Oncology, Changhua Christian Hospital, Changhua, Taiwan – sequence: 17 givenname: Chen-Chi surname: Wang fullname: Wang, Chen-Chi organization: Department of Otolaryngology-Head and Neck Surgery, Taichung Veterans General Hospital, Taichung City, Taiwan – sequence: 18 givenname: Yi-Chun surname: Liu fullname: Liu, Yi-Chun organization: Department of Radiation Oncology, Taichung Veterans General Hospital, Taichung, Taiwan – sequence: 19 givenname: Jo-Pai surname: Chen fullname: Chen, Jo-Pai organization: Department of Oncology, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan – sequence: 20 givenname: Wei-Chen surname: Lu fullname: Lu, Wei-Chen organization: Department of Oncology, National Taiwan University Hospital Yunlin Branch, Yunlin, Taiwan – sequence: 21 givenname: Ching-Yi surname: Yiu fullname: Yiu, Ching-Yi organization: Department of Otolaryngology, Chi Mei Medical Center, Liouying, No. 201, Taikang Village, Liouying District, Tainan City, 736402, Taiwan – sequence: 22 givenname: Chien-Liang surname: Lin fullname: Lin, Chien-Liang organization: Department of Internal Medicine, Division of Hematology-Oncology, Chi Mei Medical Center, Liouying, Tainan, Taiwan – sequence: 23 givenname: Pei-Jen surname: Lou fullname: Lou, Pei-Jen organization: Department of Otolaryngology, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan – sequence: 24 givenname: Pen-Yuan surname: Chu fullname: Chu, Pen-Yuan email: pychu@vghtpe.gov.tw organization: Department of Otolaryngology, Taipei Veterans General Hospital, No.201, Sec. 2, Shipai Rd., Beitou District, Taipei City, 11217, Taiwan, ROC. pychu@vghtpe.gov.tw |
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Keywords | Prognostic factor Head and neck squamous cell carcinoma Cetuximab Risk-stratification model |
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References | Y Takenaka (12425_CR16) 2018; 40 S Kano (12425_CR14) 2017; 39 K Hu (12425_CR18) 2005; 6 A Argiris (12425_CR12) 2004; 101 J Bernier (12425_CR4) 2004; 350 KA Price (12425_CR6) 2012; 13 JB Vermorken (12425_CR7) 2008; 359 H Sung (12425_CR1) 2021; 71 YC Huang (12425_CR2) 2020; 2020 TL Lee (12425_CR20) 2023; 35 YK So (12425_CR15) 2018; 159 RL Siegel (12425_CR3) 2021; 71 J Guigay (12425_CR8) 2021; 22 JB Vermorken (12425_CR9) 2007; 25 R Depenni (12425_CR13) 2019; 115 G Cadoni (12425_CR11) 2017; 37 P Kumar (12425_CR19) 2000; 5 Y Takenaka (12425_CR17) 2018; 40 A Mirabile (12425_CR21) 2019; 41 TH Chen (12425_CR10) 2022; 22 12425_CR5 |
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Snippet | In recent years, the addition of cetuximab to chemotherapy has improved treatment outcomes for patients with recurrent/metastatic head and neck squamous cell... Background In recent years, the addition of cetuximab to chemotherapy has improved treatment outcomes for patients with recurrent/metastatic head and neck... BackgroundIn recent years, the addition of cetuximab to chemotherapy has improved treatment outcomes for patients with recurrent/metastatic head and neck... Abstract Background In recent years, the addition of cetuximab to chemotherapy has improved treatment outcomes for patients with recurrent/metastatic head and... |
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SubjectTerms | Adult Aged Alcohol Alcohol use Antineoplastic Combined Chemotherapy Protocols - therapeutic use Biochemistry Blood cell count Blood levels Cancer Cancer therapies Care and treatment Cell number Cetuximab Cetuximab - administration & dosage Cetuximab - therapeutic use Chemotherapy Clinical outcomes Drug development Female Head and neck cancer Head and neck carcinoma Head and Neck Neoplasms - drug therapy Head and Neck Neoplasms - mortality Head and Neck Neoplasms - pathology Head and neck squamous cell carcinoma Health aspects Hematology Hemoglobin Human papillomavirus Humans Induction therapy Leukocytes (neutrophilic) Lymphocytes Male Medical prognosis Metastases Metastasis Middle Aged Multivariate analysis Neoplasm Recurrence, Local Neutrophils Patients Population studies Prediction models Prevention Prognosis Prognostic factor Radiation therapy Relapse Response rates Retrospective Studies Risk Assessment - methods Risk Factors Risk groups Risk-stratification model Squamous cell carcinoma Squamous Cell Carcinoma of Head and Neck - drug therapy Squamous Cell Carcinoma of Head and Neck - mortality Squamous Cell Carcinoma of Head and Neck - pathology Statistical significance Surgery Survival analysis Taiwan - epidemiology Variables |
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Title | Prognostic factors and risk-stratification model of recurrent or metastatic head and neck squamous cell carcinoma treated with cetuximab containing regimen |
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