scholarly journals Evaluation and Correlation of Clinicopathological Parameters of Oral Squamous Cell Carcinoma of Gingivobuccal Sulcus with Lymph Node Status - A Retrospective Institutional Analysis in Navi Mumbai

2021 ◽  
Vol 10 (30) ◽  
pp. 2294-2299
Author(s):  
Akash Shegaonkar ◽  
Shilpa Patel ◽  
Niharika Swain ◽  
Jigna Pathak ◽  
Rashmi Hosalkar ◽  
...  

BACKGROUND Mortality and Morbidity rates in the patients diagnosed with oral cancers remain static despite availability of advanced diagnostic and treatment modalities. For improving the survival status of the patients, a thorough understanding of the factors that predicts the progression of oral cancer is necessary to determine appropriate line of treatment. To do so in practise, critical knowledge regarding the prognostic factors that has high sensitivity holds immense importance. For determination of prognosis in oral cancer patients, clinical and histopathological parameters are widely used for assessment of treatment strategies. The primary objective of this study was to determine the clinical and histopathological prognostic factors in patients of oral squamous cell carcinoma of gingivobuccal sulcus (GBSSCC) treated by surgical intervention (neck dissection). METHODS Histopathological evaluation of archived samples of 60 GBSSCC patients which were treated by surgical intervention (Neck Dissection) in the time period from January 2011 to December 2020. Recurrent cases were excluded. Clinicopathological parameters such as age, sex, habit, tumour site, tumour size, tumour differentiation, depth of invasion, bone invasion, muscle invasion, perineural invasion & extracapsular spread were evaluated & then correlated with lymphnode status. RESULTS Among all the parameters, variables like habit (tobacco use) (P = 0.045), tumour size (P = 0.003), perineural invasion (P = 0.000) emerged as independent prognosticators and significantly correlated to the lymph node status of the patients. CONCLUSIONS This analysis suggests that habit, tumour size, perineural invasion to be consistent, easy to assess and reliable independent prognosticators which are significantly correlated to the lymph node status. To conclude, it is of paramount importance to include the aforementioned prognosticators in histopathological reports for the prediction of clinical outcome and archiving of valued data for future analysis. KEY WORDS Oral Squamous Cell Carcinoma, Gingivobuccal sulcus, Lymph Node Status, ClinicoPathological Prognosticators

2013 ◽  
Vol 28 (4) ◽  
pp. 329-335 ◽  
Author(s):  
Ling Gao ◽  
Wanjie Gu ◽  
Jingjing Zheng ◽  
Wenhao Ren ◽  
Su'e Chang ◽  
...  

Despite being already known that p27 can regulate cell proliferation, cell motility and apoptosis, the role of p27 expression in oral squamous cell carcinoma (OSCC) remains controversial. The purpose of this study was to comprehensively evaluate, with a meta-analysis, the clinicopathological and prognostic role of p27 expression in OSCC. A meta-analysis of eligible studies was performed to assess the effects of p27 expression on clinicopathological parameters and overall survival (OS) in patients with OSCC, using pooled relative risks with 95% confidence intervals. Heterogeneity and publication bias were also assessed. Fourteen studies involving a total of 1,010 patients met the inclusion criteria. Low p27 expression was significantly associated with advanced TNM stage (p<0.001), worse histology (p=0.025), and lymph node metastasis (p<0.001), but not with tumor size (p=0.181). The pooled RR of 0.743 (p=0.002) suggested that low p27 expression has a poor prognosis in patients with OSCC. A significant heterogeneity among studies was detected for lymph node status (χ2=34.60, I2=68.2%, p<0.001) and OS (χ2=14.86, I2=39.4%, p=0.095). We did not detect a significant publication bias in this meta-analysis. Our meta-analysis suggests that p27 expression status might be useful as a predictive biomarker in clinical practice, and might potently predict OS in OSCC patients.


PLoS ONE ◽  
2020 ◽  
Vol 15 (9) ◽  
pp. e0239783
Author(s):  
Inger-Heidi Bjerkli ◽  
Helene Laurvik ◽  
Elisabeth Sivy Nginamau ◽  
Tine M. Søland ◽  
Daniela Costea ◽  
...  

Genes ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1679
Author(s):  
Ruta Insodaite ◽  
Alina Smalinskiene ◽  
Vykintas Liutkevicius ◽  
Virgilijus Ulozas ◽  
Roberta Poceviciute ◽  
...  

Background: Genetic variations, localized in the 3′ untranslated region (UTR) in mitogen-activated protein kinase (MAPK) pathway-related genes, may alter the transcription and impact the pathogenesis of laryngeal squamous cell carcinoma (LSCC). The present study investigated the associations of single-nucleotide polymorphisms (SNP), localized in the 3′UTR) of the KRAS, NRAS, and MAPK1 genes with LSCC risk and clinicopathological features. Methods: Genomic DNA and clinical data were collected from 327 adult men with LSCC. The control group was formed from 333 healthy men. Genotyping of the SNPs was performed using TaqMan SNP genotyping assays. Five KRAS, NRAS, and MAPK1 polymorphisms were analyzed. All studied genotypes were in Hardy–Weinberg equilibrium and had the same allele distribution as the 1000 Genomes project Phase 3 dataset for the European population. Results: Significant associations of the studied SNPs with reduced LSCC risk were observed between NRAS rs14804 major genotype CC. Significant associations of the studied SNPs with clinicopathologic variables were also observed between NRAS rs14804 minor T allele and advanced tumor stage and positive lymph node status. SNP of MAPK1 rs9340 was associated with distant metastasis. Moreover, haplotype analysis of two KRAS SNPs rs712 and rs7973450 revealed that TG haplotype was associated with positive lymph node status in LSCC patients. Conclusions: According to the present study, 3′UTR SNP in the NRAS and MAPK1 genes may contribute to the identifications of patients at higher risk of LSCC lymph node and distant metastasis development.


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yu Zhang ◽  
Mingtao Chen ◽  
Zheqi Liu ◽  
Xu Wang ◽  
Tong Ji

Abstract Objective Although perineural invasion (PNI) is well-known to be correlated with and able to predict lymph node metastasis (LNM) in oral squamous cell carcinoma (OSCC), the clinical and molecular correlation between PNI and LNM has not been elucidated, and preoperative biomarkers for LNM prediction in OSCC are urgently needed. Materials and methods The correlation between PNI and LNM was retrospectively evaluated using a cohort of 218 patients diagnosed with OSCC. Candidate neuropeptides were screened based on TCGA database and verified via immunohistochemistry and Western blot analyses. ELISA was used to detect calcitonin gene-related peptide (CGRP) in patient plasma. In vitro assays were used to explore the effects of CGRP on OSCC cells. Results OSCC patients with PNI had a higher incidence of LNM (69.86% vs. 26.2%, P < 0.0001, n = 218). CGRP expression was upregulated in the PNI niche and in metastatic lymph nodes, and was correlated with poor overall survival of OSCC patients. Preoperative plasma CGRP levels were higher in OSCC patients (n = 70) compared to healthy donors (n = 60) (48.59 vs. 14.58 pg/ml, P < 0.0001), and were correlated with LNM (P < 0.0001) and PNI (P = 0.0002). Preoperative plasma CGRP levels alone yielded an AUC value of 0.8088 to predict LNM, and CGRP levels combined with preoperative T stage reached an AUC value of 0.8590. CGRP promoted proliferation and migration abilities of OSCC cells, which could be antagonized by either pharmacological or genetic blockade of the CGRP receptor. Conclusions The neuropeptide CGRP links PNI and LNM in OSCC, and preoperative plasma CGRP levels can be used to predict LNM in OSCC.


2020 ◽  
Vol 38 (6_suppl) ◽  
pp. 5-5 ◽  
Author(s):  
Jad Chahoud ◽  
Rachel Pham ◽  
Ming Guo ◽  
Curtis R. Pickering ◽  
Wei Qiao ◽  
...  

5 Background: Penile Squamous Cell Carcinoma (PSCC) is associated with high risk human papillomavirus (HR-HPV) in about 50% of cases. The immunohistochemical test for p16INK4a (p16) is highly correlated with HR-HPV expression and used as prognostic marker for squamous cell carcinomas in various sites. The prognostic role of this marker in PSCC remains unclear. We studied whether the expression of HPV or p16INK4a is associated with survival in a large PSCC cohort. Methods: We conducted a single institution analysis of PSCC patients who received treatment between 1991-2017.Patients with a confirmed diagnosis of PSCC and available tissue were tested for HR-HPV status using the Cobas PCR assay. Histological subtype, tumor grade, LVI and p16 staining patterns were confirmed by an experienced pathologist. Patient characteristics were summarized using descriptive statistics of clinico-pathologic variables. Kaplan-Meier was used to estimate median overall survival (OS) and cancer specific survival (CSS). Log rank test, univariate and multivariate Cox models were applied to identify the prognostic factors for survival. Results: We identified 147 patients with PSCC, with available tissue for testing. The median follow-up was 5.2 years (95% CI; 4.48, 6.68y). Patients with p16(+) tumors showed a significantly longer median OS and CSS in comparison to the p16(–) group (p=0.038 and p=0.012), with respective 5 year OS probability of 73% (95% CI; 0.74, 0.98) in comparison to 56% (95% CI; 0.46, 0.67) and 5 year CSS probability of 89% (95% CI; 0.7, 1) in comparison to 64% (95% CI; 0.54, 0.75). In contrast, HPV status by PCR did not predict survival outcomes, with 5 year CSS probability for HPV(+) of 75% (95% CI; 0.61, 0.91) compared to 65% (95% CI; 0.55, 0.78) for HPV(–) patients. Multivariable analysis to evaluate the association with CSS, showed that p16(+) along with lymph node status was associated with lower risk of death (HR=0.28, 95%CI; 0.09-0.8, p=0.002), and OS (HR=0.49, 95%CI; 0.19-1.24, p=0.13) after adjusting for the covariates. Conclusions: Tumor p16 status was an independent prognostic factor for CSS in our PSCC cohort providing unique information above that of lymph node status alone.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
B. S. M. S. Siriwardena ◽  
H. D. N. U. Karunathilaka ◽  
P. V. R. Kumarasiri ◽  
W. M. Tilakaratne

Background. Nodal metastasis is a critical factor in predicting the prognosis of oral squamous cell carcinoma (OSCC). When patients present with a clinically positive neck, the treatment of choice is radical neck dissection. However, management of a clinically negative neck is still a subject of significant controversy. Aim. This study was carried out in order to propose a model to predict regional lymph node metastasis of OSCC using histological parameters such as tumour stage, tumour size, pattern of invasion (POI), differentiation of tumour, and host immune response, together with the expression levels of six biomarkers (periostin, HIF-1α, MMP-9, β-catenin, VEGF-C, and EGFR), and, furthermore, to compare the impact of all these parameters on recurrence and 3 yr and 5 yr survival rates. Materials and Method. Histological materials collected from the archives were used to evaluate histological parameters and immunohistochemical profiles. Standard methods were used for immunohistochemistry and for evaluation of results. Data related to recurrence and survival (3 and 5 years) was also recorded. Clinical data was collected from patients’ records. Results. Male to female ratio was 3 : 1. The commonest site of OSCC was the buccal mucosa, and majority of them were T3 or T4 tumours presented at stage 4. 62.5% of the tumours were well differentiated. Three-year and 5-year survival rates were significantly associated with lymph node metastasis and recurrence. POI was significantly correlated with tumour size, stage, 3-year survival, EGFR, HIF-1α, periostin, and MMP-9 ( p < 0.05 ). Expression of EGFR showed a direct association with metastasis ( p < 0.05 ). Conclusion. POI, level of differentiation, and expression of EGFR are independent prognostic markers for lymph node metastasis. Therefore, these parameters may help in treatment planning of a clinically negative neck.


2014 ◽  
Vol 47 (6) ◽  
pp. 1022-1026 ◽  
Author(s):  
Yasuhiro Tsutani ◽  
Shuji Murakami ◽  
Yoshihiro Miyata ◽  
Haruhiko Nakayama ◽  
Masahiro Yoshimura ◽  
...  

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