scholarly journals Tumor-Infiltrating Lymphocytes in the Tumor Microenvironment of Laryngeal Squamous Cell Carcinoma: Systematic Review and Meta-Analysis

Biomedicines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 486
Author(s):  
Juan P. Rodrigo ◽  
Mario Sánchez-Canteli ◽  
Fernando López ◽  
Gregory T. Wolf ◽  
Juan C. Hernández-Prera ◽  
...  

The presence of tumor-infiltrating lymphocytes (TIL) in the tumor microenvironment has been demonstrated to be of prognostic value in various cancers. In this systematic review and meta-analysis, we investigated the prognostic value of TIL in laryngeal squamous cell carcinoma (LSCC). We performed a systematic search in PubMed for publications that investigated the prognostic value of TIL in LSCC. A meta-analysis was performed including all studies assessing the association between TIL counts in hematoxylin-eosin (HE)-stained sections, for CD8+ and/or CD3+/CD4+ TIL and overall survival (OS) or disease-free survival (DFS). The pooled meta-analysis showed a favorable prognostic role for stromal TIL in HE sections for OS (HR 0.57, 95% CI 0.36–0.91, p = 0.02), and for DFS (HR 0.56, 95% CI 0.34–0.94, p = 0.03). High CD8+ TIL were associated with a prolonged OS (HR 0.62, 95% CI 0.4–0.97, p = 0.04) and DFS (HR 0.73, 95% CI 0.34–0.94, p = 0.002). High CD3+/CD4+ TIL demonstrated improved OS (HR 0.32, 95% CI 0.16–0.9, p = 0.03) and DFS (HR 0.23, 95% CI 0.10–0.53, p = 0.0005). This meta-analysis confirmed the favorable prognostic significance of TIL in LSCC. High stromal TIL evaluated in HE sections and intra-tumoral and stromal CD3+, CD4+ and/or CD8+ TIL might predict a better clinical outcome.

2015 ◽  
Vol 22 (3) ◽  
pp. 704-713 ◽  
Author(s):  
Maria Vassilakopoulou ◽  
Margaritis Avgeris ◽  
Vamsidhar Velcheti ◽  
Vassiliki Kotoula ◽  
Theodore Rampias ◽  
...  

2021 ◽  
Author(s):  
Yuri Noda ◽  
Mitsuaki Ishida ◽  
Yasuhiro Ueno ◽  
Takuo Fujisawa ◽  
Hiroshi Iwai ◽  
...  

Abstract Background: Extranodal extension (ENE) is a poor prognostic factor for oral squamous cell carcinoma (OSCC). Identifying ENE by clinical and/or radiological examination is difficult, thereby leading to unnecessary neck dissections. Currently, no definitive predictors are available for ENE. Thus, we aimed to determine the histological predictors of ENE by routine histopathological examination using biopsy and surgically resected specimens.Methods: This retrospective study included 186 surgically resected OSCC and 83 matched biopsy specimens. Clinical features associated with the tumor microenvironment, including desmoplastic reaction (DR), tumor budding (TB), and tumor-infiltrating lymphocytes (TILs), were evaluated using hematoxylin and eosin-stained primary OSCC and neck dissection specimens. These histological features were divided into two groups: DR-immature (DR-I) and DR-mature (DR-M); TB-high (TB-H) and TB-low (TB-L); and TILs-low (TILs-L) and TILs-high (TILs-H). Clinical depth of invasion (cDOI) and pathological DOI (pDOI) were adapted for biopsies and resections, respectively; DOI was evaluated as DOI >10 mm and DOI ≤10 mm. The clinicopathological relationships between these histopathological features and ENE and the independent risk factors for ENE were analyzed. The histological predictors of ENE were evaluated.Results:The histological status of DR, TILs, and TB present in biopsy and resection specimens showed high accuracy with that of ENE. DR-I, TILs-L, and TB-H were significantly associated with lymph node metastasis, cDOI, and pDOI. Bivariate and multivariate analyses revealed that TB-H and pDOI >10 mm in resections were independent factors for the presence of ENE (ENE+). The combination of TB-H/pDOI >10 mm in resection specimens showed high specificity (91%) and accuracy (83%) regarding ENE+. Although there proved to be no independent factors in biopsies, DR-I and TILs-L were significantly associated with ENE+ (p<0.001). The combination of DR-I/TILs-L/cDOI >10 mm in biopsies exhibited high sensitivity and specificity with ENE+ (70% and 77%, respectively, p<0.001). These histological predictors could detect even minor ENE (<2 mm).Conclusions:The tumor microenvironment status in primary OSCC was significantly associated with that of ENE, and TB-H was an independent risk factor for ENE. The histological status of DR-I/TILs-L/cDOI >10 mm in biopsy specimens and TB-H/pDOI >10 mm in resection specimens is a useful predictor of ENE.


2020 ◽  
Vol 35 (1) ◽  
pp. 1258-1266 ◽  
Author(s):  
Alejandro I. Lorenzo-Pouso ◽  
Mercedes Gallas-Torreira ◽  
Mario Pérez-Sayáns ◽  
Cintia M. Chamorro-Petronacci ◽  
Oscar Alvarez-Calderon ◽  
...  

2020 ◽  
Vol 21 (19) ◽  
pp. 7255
Author(s):  
Shrabon Hasnat ◽  
Roosa Hujanen ◽  
Bright I. Nwaru ◽  
Tuula Salo ◽  
Abdelhakim Salem

Head and neck squamous cell carcinoma (HNSCC) is a group of tumours which exhibit low 5 year survival rates. Thus, there is an urgent need to identify biomarkers that may improve the clinical utility of patients with HNSCC. Emerging studies support a role of toll-like receptors (TLRs) in carcinogenesis. Therefore, this systematic review and meta-analysis was performed to assess the prognostic value of TLR immunoexpression in HNSCC patients. We compiled the results of thirteen studies comprising 1825 patients, of which six studies were deemed qualified for quantitative synthesis. The higher immunoexpression of TLR-1 to 5 and 9 was associated with a worsening of the clinical parameters of patients with HNSCC. Furthermore, induced levels of TLR-3, 4, 5, 7 and 9 were found to predict the patients’ survival time. The meta-analysis revealed that TLR-7 overexpression is associated with a decreased mortality risk in HNSCC patients (HR 0.51; 95%CI 0.13–0.89; I2 34.6%), while a higher expression of TLR-5 predicted shorter, but non-significant, survival outcome. In conclusion, this review suggests that TLRs may represent some prognostic value for patients with HNSCC. However, due to small sample sizes and other inherent methodological limitations, more well designed studies across different populations are still needed before TLRs can be recommended as a reliable clinical risk-stratification tool.


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