Xeroderma pigmentosum: neck lymph node metastasis of a squamous cell carcinoma of the skin treated with cetuximab

2009 ◽  
Vol 19 (2) ◽  
pp. 163-165 ◽  
Author(s):  
Jordi Rubió Casadevall ◽  
Begoña Graña-Suárez ◽  
Xavier Hernandez-Yagüe ◽  
Jordi Vayreda Ribera ◽  
Oscar Huc Grasa ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Xeroderma Pigmentosum ◽  
Neck Lymph Node ◽  
Node Metastasis ◽  
Neck Lymph Node Metastasis

Clinical predictors for contralateral neck lymph node metastasis from unilateral squamous cell carcinoma in the oral cavity

Oral Oncology ◽  
2004 ◽  
Vol 40 (9) ◽  
pp. 898-903 ◽  
Author(s):  
Hiroshi Kurita ◽  
Takeshi Koike ◽  
Jun-nosuke Narikawa ◽  
Hironori Sakai ◽  
Atsushi Nakatsuka ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Oral Cavity ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Clinical Predictors ◽  
Neck Lymph Node ◽  
Node Metastasis ◽  
Neck Lymph Node Metastasis

scholarly journals Peri-tumoral Lymphovascular density by antipodoplanin antibody D2-40, as a predictor of nodal metastasis in oral squamous cell carcinoma

The Physician ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 1-11
Author(s):  
Kunwar Parvez ◽  
Vipin Arora ◽  
Neelam Wadhwa
Keyword(s):  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Oral Cancer ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Tumor Site ◽  
Neck Lymph Node ◽  
Node Metastasis ◽  
Neck Lymph Node Metastasis

BACKGROUND: The involvement of regional lymph nodes by cancer is a major determinant of prognosis in oral squamous cell carcinoma (OSCC) and is a significant predictor of patient survival. Peri-tumoral lymphangiogenesis is being studied as an important tool in predicting neck lymph node metastasis. Podoplanin, a transmembrane glycoprotein is expressed on lymphatic vessel endothelium and considered as a marker of lymphangiogenesis.  The high podoplanin expression has been associated with invasion, progression, and metastasis of oral cancer. D2-40, an anti-podoplanin monoclonal antibody, is a specific marker of lymphatic endothelial cells. The present study was designed to investigate the peritumoral lymphovascular density (PT-LVD) by evaluating D2-40 expression and its potential utility in predicting lymph node metastasis in OSCC. METHODS: Seventy-two patients with OSCC were enrolled (36 with early and 36 with advanced-stage tumors). Differential expression of peritumoral lymphovascular density (PT-LVD) was evaluated using D2-40 expression by immunohistochemistry (IHC). Expression was categorized as low and high, derived from the mean of a number of vessels per 10 high power fields in hot-spots. Statistical methods were employed to correlate expression with age, gender, tumor site, stage, and neck lymph node involvement.  RESULTS: We observed a significant association between peritumoral lymphovascular density (PT-LVD) with clinical neck lymph node status (p=0.001) and tumor stage (p=0.033).  There was no significant correlation of D2-40 expression with age, gender, tumor site, T stage, and tumor differentiation. CONCLUSION:  PT-LVD is a positive predictor of neck lymph node metastasis. It has translational potential, along with other clinical parameters for decision making in the treatment of the neck in oral cancer.

scholarly journals A nomogram to predict lymph node metastasis risk for early esophageal squamous cell carcinoma

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaofeng Duan ◽  
Xiaobin Shang ◽  
Jie Yue ◽  
Zhao Ma ◽  
Chuangui Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Squamous Cell Carcinoma ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Early Stage ◽  
Derivation Cohort ◽  
Node Metastasis

Abstract Background A nomogram was developed to predict lymph node metastasis (LNM) for patients with early-stage esophageal squamous cell carcinoma (ESCC). Methods We used the clinical data of ESCC patients with pathological T1 stage disease who underwent surgery from January 2011 to June 2018 to develop a nomogram model. Multivariable logistic regression was used to confirm the risk factors for variable selection. The risk of LNM was stratified based on the nomogram model. The nomogram was validated by an independent cohort which included early ESCC patients underwent esophagectomy between July 2018 and December 2019. Results Of the 223 patients, 36 (16.1%) patients had LNM. The following three variables were confirmed as LNM risk factors and were included in the nomogram model: tumor differentiation (odds ratio [OR] = 3.776, 95% confidence interval [CI] 1.515–9.360, p = 0.004), depth of tumor invasion (OR = 3.124, 95% CI 1.146–8.511, p = 0.026), and tumor size (OR = 2.420, 95% CI 1.070–5.473, p = 0.034). The C-index was 0.810 (95% CI 0.742–0.895) in the derivation cohort (223 patients) and 0.830 (95% CI 0.763–0.902) in the validation cohort (80 patients). Conclusions A validated nomogram can predict the risk of LNM via risk stratification. It could be used to assist in the decision-making process to determine which patients should undergo esophagectomy and for which patients with a low risk of LNM, curative endoscopic resection would be sufficient.

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