Biological characterization and analysis of metastasis-related genes in cell lines derived from the primary lesion and lymph node metastasis of a squamous cell carcinoma arising in the mandibular gingiva

Background: Primary Oral Squamous Cell Carcinoma can metastasize in the cervical lymph nodes. Objective: The purpose of the present study was to see the association of Anneroth’s scoring and frequency of cervical lymph node metastasis among primary oral squamous cell carcinoma patients. Methodology: This cross sectional study was conducted in the Department of Oral and Maxillofacial Surgery, Dhaka Dental College and Hospital, Dhaka, Bangladesh from November 2009 to December 2010 for a period of one year. Patients attending in the place of study with diagnosed case of oral squamous cell carcinoma were selected for the study after fulfilling the inclusion criteria. The resected primary lesion and neck lymph nodes were sent for histopathological examination. Histopathological grading of the primary lesion was done and neck lymphodes were graded as metastatic and non-metastatic. Results: This prospective study with 50 cases of oral squamous cell carcinoma was taken of which 28 cases were non-metastasis tumor. Each case was graded according to TNM classification, Broder’s grading and Anneroth’s classification. Both Anneroth’s classification (p=0.002) and Broder’s grading (p=0.017) were significant but Anneroth’s one was more significant than Broder’s. Conclusions: There is an association between Anneroth’s grading system with lymph node metastasis. Journal of Current and Advance Medical Research 2019;6(2): 69-72

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Faculty Opinions recommendation of Incidence of level IIB lymph node metastasis in supraglottic laryngeal squamous cell carcinoma with clinically negative neck--a prospective study.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.717597858.792952907 ◽

2012 ◽

Author(s):

Giulio Cantu ◽

Stefano Riccio ◽

Sarah Colombo

Keyword(s):

Squamous Cell Carcinoma ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Prospective Study ◽

Cell Carcinoma ◽

Squamous Cell ◽

Laryngeal Squamous Cell Carcinoma ◽

Node Metastasis ◽

A Prospective Study

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Identification of potential biomarkers of lymph node metastasis in oral squamous cell carcinoma by cDNA microarray analysis

International Journal of Cancer ◽

10.1002/ijc.11283 ◽

2003 ◽

Vol 106 (5) ◽

pp. 683-689 ◽

Cited By ~ 105

Author(s):

Masaki Nagata ◽

Hajime Fujita ◽

Hiroko Ida ◽

Hideyuki Hoshina ◽

Tatsuo Inoue ◽

...

Keyword(s):

Squamous Cell Carcinoma ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Oral Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Microarray Analysis ◽

Squamous Cell ◽

Cdna Microarray Analysis ◽

Node Metastasis ◽

Potential Biomarkers

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

BMC Cancer ◽

10.1186/s12885-021-08077-z ◽

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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