parotid gland carcinoma
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Head & Neck ◽  
2021 ◽  
Author(s):  
Xingxi Luo ◽  
Shun Liu ◽  
Yufeng Chen ◽  
Xiaoqiang Qiu ◽  
Dongping Huang ◽  
...  

2021 ◽  
Author(s):  
Takuya Mikoshiba ◽  
Hiroyuki Ozawa ◽  
Yoshihiro Watanabe ◽  
Miho Kawaida ◽  
Mariko Sekimizu ◽  
...  

Head & Neck ◽  
2021 ◽  
Author(s):  
Zhi‐Gong Wei ◽  
Xing‐Chen Peng ◽  
Yan He ◽  
Hui Guan ◽  
Jing‐Jing Wang ◽  
...  

Head & Neck ◽  
2021 ◽  
Author(s):  
Marie Westergaard‐Nielsen ◽  
Sören Möller ◽  
Christian Godballe ◽  
Jesper Grau Eriksen ◽  
Stine Rosenkilde Larsen ◽  
...  

2021 ◽  
Vol 114 (9) ◽  
pp. 681-687
Author(s):  
Kazuki Chiyonobu ◽  
Hajime Ishinaga ◽  
Hiroyuki Morishita ◽  
Kazuhiko Takeuchi

2021 ◽  
Vol 20 ◽  
pp. 153303382110352
Author(s):  
Wen-Mei Jiang ◽  
Lei-Lei Wu ◽  
Huan-Ye Wei ◽  
Qi-Long Ma ◽  
Quan Zhang

Objectives: To construct a simplified prognostic risk model to predict overall survival after adjuvant radiotherapy for parotid gland carcinoma patients with stage T1-4aN1-3M0. Materials and Methods: We evaluated 879 patients who were pathological diagnosed as stage T1-4aN1-3M0 parotid gland cancer. Those eligible patients treated with parotidectomy and neck lymph node dissection between 2004 and 2015 in the Surveillance Epidemiology and End Results database. All cases received adjuvant radiotherapy. Independent prognostic factors included in the original model were identified by Cox regression analysis. The primary endpoint was overall survival. The model’s prediction power was evaluated by the concordance index. The entire cohort was categorized into new low- and high-risk groups using X-tile software according to the results of prognostic model. Kaplan-Meier method was used to depict the survival curves. And the statistical significance was determined by log-rank test. Besides, a heat map was visually described the association between the survival time and 2 most significant prognostic factors. Results: In the univariable and multivariate analyses, 4 independent factors for overall survival were age, tumor size, pTNM stage, and the number of positive lymph nodes, which were all selected in the parsimonious prognostic model. The concordance indices of the prognostic model and pTNM stage were 0.652 and 0.565, respectively. Patients in the low-risk group had better overall survival over patients in the high-risk group [unadjusted hazard ratio =  2.578, 95% confidence interval 2.095-3.172, P  < 0.001]. The results of the heat map revealed that patients with smaller tumor size and fewer positive lymph nodes had much longer survival time. Conclusions: This parsimonious prognostic model could estimate the long-term survival after adjuvant radiotherapy for parotid gland carcinoma with stage T1-4aN1-3N0M0. The tools may be valuable to guide multidisciplinary team in making treatment decisions.


Author(s):  
Hossein Taghizadeh ◽  
Leonhard Müllauer ◽  
Robert M. Mader ◽  
Thorsten Füreder ◽  
Gerald W. Prager

Summary Background Advanced therapy-refractory parotid gland carcinomas have a poor prognosis with limited therapy options. We used molecular profiling to offer molecular guided therapies to patients with advanced metastatic parotid gland malignancies. Methods In this retrospective analysis we describe the molecular profiling of ten patients diagnosed with therapy-refractory metastatic parotid gland malignancies. Results We identified seven genetic aberrations in five patients: two mutations in CDKN2A and one mutation in APC, ATM, TP53, SMARCB1 and FGFR1, respectively. No mutations were detected in five patients. The IHC demonstrated frequent expressions of EGFR and p‑mTOR, as well as PTEN in eight patients. For four fifths (n = 8) of the patients, a targeted therapy was suggested. Eventually, three patients received the targeted therapy recommendation and one patient achieved stable disease for 14 months. Conclusion A total of eight therapy recommendations were provided. Based on our observations, molecular-guided therapies may be a feasible treatment approach for this rare disease entity.


2020 ◽  
Author(s):  
Takuya Mikoshiba ◽  
Hiroyuki Ozawa ◽  
Yoshihiro Watanabe ◽  
Mariko Sekimizu ◽  
Shin Saito ◽  
...  

2020 ◽  
Vol 129 (6) ◽  
pp. 570-574
Author(s):  
Sven Schneider ◽  
Ulana Kotowski ◽  
Lorenz Kadletz ◽  
Markus Brunner ◽  
Isabella Stanisz ◽  
...  

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