Prognostic markers in oropharyngeal squamous cell carcinoma: focus on CD70 and tumour infiltrating lymphocytes

Pathology ◽  
2017 ◽  
Vol 49 (4) ◽  
pp. 397-404 ◽  
Author(s):  
Astrid De Meulenaere ◽  
Tijl Vermassen ◽  
Sandrine Aspeslagh ◽  
Karen Zwaenepoel ◽  
Philippe Deron ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Markers ◽  
Oropharyngeal Squamous Cell Carcinoma ◽  
Tumour Infiltrating Lymphocytes ◽  
Infiltrating Lymphocytes

scholarly journals FGFR Family Members Protein Expression as Prognostic Markers in Oral Cavity and Oropharyngeal Squamous Cell Carcinoma

2016 ◽  
Vol 20 (4) ◽  
pp. 363-374 ◽  
Author(s):  
Koos Koole ◽  
Martijn J. A. M. Clausen ◽  
Robert J. J. van Es ◽  
Pauline M. W. van Kempen ◽  
Lieuwe J. Melchers ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Cavity ◽  
Protein Expression ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Markers ◽  
Family Members ◽  
Oropharyngeal Squamous Cell Carcinoma

Molecular prognostic markers in oropharyngeal squamous cell carcinoma: The role of phospho-Akt

2005 ◽  
Vol 23 (16_suppl) ◽  
pp. 5517-5517
Author(s):  
Z. Yu ◽  
P. M. Weinberger ◽  
C. T. Sasaki ◽  
B. Haffty ◽  
R. Camp ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Markers ◽  
Oropharyngeal Squamous Cell Carcinoma

Computerized features of spatial interplay of tumor-infiltrating lymphocytes predict disease recurrence in p16+ oropharyngeal squamous cell carcinoma: A multisite validation study.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 6559-6559
Author(s):  
Germán Corredor ◽  
Cheng Lu ◽  
Can Koyuncu ◽  
Kaustav Bera ◽  
Paula Toro ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
High Risk ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Univariate Analysis ◽  
Tumor Infiltrating Lymphocytes ◽  
Disease Recurrence ◽  
Oropharyngeal Squamous Cell Carcinoma ◽  
Training Set ◽  
Infiltrating Lymphocytes

6559 Background: While overall, patients with p16+ oropharyngeal squamous cell carcinoma (OPSCC) have a favorable prognosis, subsets of patients experience disease recurrence (DR) and death despite aggressive multimodality treatment. Aside from routine staging criteria, there are no biomarkers of tumor behavior routinely employed in OPSCC to identify patients at higher risk of DR. In this study we sought to evaluate whether the interplay between tumor-infiltrating lymphocytes (TILs) & cancer cells, in both stromal and epithelial compartments from digitized H&E-stained slides, can predict DR in OPSCC patients. Methods: OPSCC resected specimens from 354 patients (66 with DR) were retrospectively collected from 3 different sites. 107 (16 DR) patients from site 1 formed the training set and 247 (50 DR) patients from sites 2 & 3 formed the independent validation cohort. Computerized algorithms automatically identified 4 types of nuclei (TILs & non-TILs in both stromal & epithelial regions), defined clusters for each nuclei type based on cell proximity, and used network graph concepts to capture measurements relating to the arrangement of these clusters. The top 10 features determined by a statistical selection method (LASSO) were used to train a Cox regression model that assigns a risk of DR to each patient on the training set. The median risk score was used as threshold for stratifying patients on the validation set into low and high-risk of DR. Survival analysis was used to evaluate the stratification given by the trained model. Results: Patients identified by the TIL interplay model as high risk for DR had statistically worse disease specific survival. Univariate analysis yielded an HR=2.49 (95% CI: 1.22-5.07, p=0.04) for site 2 and HR=3.62 (95% CI: 1.39-9.43, p=0.03) for site 3. Multivariate analysis controlling the effect of different clinical variables is shown in the attached table. Conclusions: We introduce a prognostic model based on the automated quantification of the interplay between tumor microenvironment cells that is able to help distinguish OPSCC patients with higher DR risk from those who will experience longer disease-free survival. [Table: see text]

scholarly journals The presence of tumour-infiltrating lymphocytes (TILs) and the ratios between different subsets serve as prognostic factors in advanced hypopharyngeal squamous cell carcinoma

2020 ◽  
Author(s):  
Jie Wang ◽  
Shu Tian ◽  
Ji Sun ◽  
Jiahao Zhang ◽  
Lan Lin ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Immune Cells ◽  
Univariate Analysis ◽  
Prognostic Significance ◽  
Free Survival ◽  
Hypopharyngeal Squamous Cell Carcinoma ◽  
Tumour Infiltrating Lymphocytes ◽  
Infiltrating Lymphocytes

Abstract Background: Cancer cells induce the infiltration of various immune cells that are located or distributed in different sites and play multiple roles, which have recently been proposed to predict clinical outcomes. We therefore studied the prognostic significance of the presence of tumour-infiltrating lymphocytes (TILs) and the ratios between different types of immune cells in hypopharyngeal squamous cell carcinoma (HPSCC). Methods: We retrospectively analysed 132 consecutive patients diagnosed with advanced HPSCC in 2013-2017. Tumoural parenchyma was immunohistochemically counted manually for the number of CD8, CD4 and Foxp3 cells. The ratios of CD8/Foxp3 and CD8/CD4 ratios were calculated for each specimen and analyzed with respect to patient clinicopathological variables and prognosis. Results: HPSCC patients with high levels of TILs showed evident correlations with well differentiated tumors (P < 0.05). Moreover, Foxp3+ TIL is also associated with overall staging group and T category (P =0.048 and P= 0.046, respectively). Kaplan-Meier analysis showed that high CD8 and FoxP3 infiltration correlated with favourable overall survival (OS, P = 0.019 and P = 0.001), disease-free survival (DFS, P = 0.045 and P = 0.028) and distant metastasis-free survival (DMFS, P = 0.034 and P = 0.009), respectively, but only Foxp3 displayed prognostic significance for DMFS in multivariate analysis (MVA). In the lymphocyte ratio analysis, CD8/Foxp3 appeared to play a pivotal role, and patients with a high CD8/Foxp3 ratio had a superior 3-year DFS and DMFS compared with those a low CD8/Foxp3 ratio in both univariate analysis (UVA) and MVA (P = 0.015 and P=0.011). A high CD8/CD4 ratio was associated with better DFS and local relapse-free survival (LRFS) in UVA, and was an independent prognostic factor for improved LRFS in MVA (P = 0.040).Conclusion: Although high TILs levels were determined to be prognostically significant in advanced HPSCC, the ratios of these subsets may be more informative. Particularly, a higher ratio of CD8/Foxp3 accurately predicts prognosis for improved DFS and DMFS, and an increased CD8/CD4 ratio is an independent predictor for favourable LRFS.

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