scholarly journals Clinicopathological Study of Neo-adjuvant Chemotherapy for Oral Squamous Cell Carcinoma

1997 ◽  
Vol 51 (6) ◽  
pp. 761-767
Author(s):  
Hideo Kurokawa ◽  
Keiko Miura ◽  
Yoshihiro Yamashita ◽  
Shingo Tokudome ◽  
Tomoyuki Murata ◽  
...  
2021 ◽  
Vol 20 (11) ◽  
pp. 2419-2424
Author(s):  
Yilei Liang ◽  
Fujun Li ◽  
Jiajie Huang ◽  
Zhenni Zhang

Purpose: To investigate the clinical efficacy of different neo-adjuvant chemotherapy (NACT) regimens in the treatment of advanced oral squamous cell carcinoma (OSCC), and their influence on immune function of the patients.Methods: Advanced OSCC patients (n = 94) who received NACT served as subjects in this study. They were assigned to 2 different treatment groups. Forty patients received docetaxel and fluorouracil regimen (DF group), while 54 patients received taxotere, cisplatin and fluorouracil regimen (TPF group). Surgery was performed after NACT. Changes in clinical efficacy and immune function were monitored in both groups. The clinical baseline data of patients were assessed prior to the treatments. Independent indicators of prognosis were determined using Cox regression analysis (CRA).Results: Clinical treatment efficacy was higher in TPF group than in DF group (p < 0.05). Objective remission rate (ORR) in DF group was lower than that in TPF group (p < 0.05). After chemotherapy, both groups had increased levels of CD4+ and CD4+/CD8+, and reduced level of CD8+, when compared with pre-chemotherapy values, with higher levels of CD4+ and CD4+/CD8+ ratio, and lower level of CD8+ in TPF group than in DF group (p < 0.05). Multivariate CRA revealed that the independent factors for prognosis of oral carcinoma (OC) were tumor node metastasis (TNM) stage and lymph node metastasis.Conclusion: These results indicate that TFP regimen improves clinical efficacy and immune function in patients with advanced OSCC.


2018 ◽  
Vol 136 (2) ◽  
pp. 165-169 ◽  
Author(s):  
Amanda Almeida Leite ◽  
Augusto César Leal da Silva Leonel ◽  
Jurema Freire Lisboa de Castro ◽  
Elaine Judite de Amorim Carvalho ◽  
Pablo Agustin Vargas ◽  
...  

Biotherapy ◽  
1994 ◽  
Vol 8 (2) ◽  
pp. 91-98 ◽  
Author(s):  
Giovanni Mantovani ◽  
Alessandro Bianchi ◽  
Luigi Curreli ◽  
Massimo Ghiani ◽  
Maria Cristina Santona ◽  
...  

2009 ◽  
Vol 10 (5) ◽  
pp. 33-41 ◽  
Author(s):  
Robert P. Langlais ◽  
Aree Jainkittivong ◽  
Somporn Swasdison ◽  
Malee Thangpisityotin

Abstract Aim To conduct a clinicopathological review of oral squamous cell carcinoma (SCC) and to analyze it with respect to gender, age at diagnosis, clinical presentation, lesion location, and histological grading. Methods and Materials Information on the clinicopathological characteristics of SCC was obtained from pathology reports of 342 cases. Results The male to female ratio was 1:1 and the incidence increased with age. Among the patients 4.7% were younger than 40 years and males were predominant in this subgroup. The alveolar ridge and gingiva were the most commonly affected sites (50%). The majority of the SCC cases presented as ulcers or masses. Swelling and/or pain were the first signs and/ or symptoms in most patients (52.6%). The age at diagnosis in relation to the site of occurrence varied. Conventional SCC was the most common subtype (88%). Well-differentiated SCC was the most common histological grading (78.6%). Conclusion In the present study, the incidence of SCC was age-related and showed equal gender distribution. Clinical Significance Routine examination of the oral cavity by dental practitioners and other health care providers aids in the early detection of premalignant and malignant oral disease. Dentists can play a significant role in disseminating information regarding oral cancer. Citation Jainkittivong A, Swasdison S, Thangpisityotin M, Lnaglais RP. Oral Squamous Cell Carcinoma: A Clinicopathological study of 342 Thai Cases. J Contemp Dent Pract [Internet]. 2009 Sept; 10(5). Available from: http://www.thejcdp. com/journal/view/oralsquamous-cell-carcinoma-aclinicopathological- study-of-342-thai-cases.


Sign in / Sign up

Export Citation Format

Share Document