scholarly journals Worst Pattern of Perineural Invasion Redefines the Spatial Localization of Nerves in Oral Squamous Cell Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Yong Fu ◽  
Xinwen Zhang ◽  
Zhuang Ding ◽  
Nisha Zhu ◽  
Yuxian Song ◽  
...  

As a key histopathological characteristic of tumor invasion, perineural invasion (PNI) assists tumor dissemination, whereas the current definition of PNI by dichotomy is not accurate and the prognostic value of PNI has not reached consensus. To define PNI status in each patient when mixed types of PNI occurred simultaneously, we here further subclassified the traditional PNI in 183 patients with oral squamous cell carcinoma (OSCC). The spatial localization of nerves in OSCC microenvironment was thoroughly evaluated and successfully concluded into four types of PNI: 0, tumor cells away from nerves; 1, tumor cells encircling nerves less than 33%; 2, tumor cells encircling nerves at least 33%; and 3, tumor cells infiltrating into nerve sheathes. Sequentially, patients were stratified by single and mixed types of PNI. Traditionally, types 0 and 1 were defined as PNI−, while types 2 and 3 were PNI+, which predicted shorter survival time. When multiple types of PNI existed within one tumor, patients with higher score of PNI types tended to have a relatively worse prognosis. Therefore, to define the status of PNI more precisely, the new variable worst pattern of PNI (WPNI) was proposed, which was taken as the highest score of PNI types present in each patient no matter how focal. Results showed that patients with WPNI 1 had longest survival time, and WPNI 2 correlated with better overall survival (p = 0.02), local-regional recurrence-free survival (p = 0.03), and distant metastasis-free survival (p = 0.046) than WPNI 3. Multivariate Cox analysis confirmed that only WPNI 3 could independently predict patients’ prognosis, which could be explained by a more damaged immune response in WPNI 3 patients with less CD3+CD8+ T cells and CD19+ B cells. Conclusively, WPNI by trichotomy provide more meticulous and precise pathological information for tumor-nerve interactions in OSCC patients.

2020 ◽  
Vol 9 (4) ◽  
pp. 1035 ◽  
Author(s):  
Yasmen Ghantous ◽  
Aysar Nashef ◽  
Imad Abu-Elnaaj

Oral squamous cell carcinoma (OSCC) is a fatal disease caused by complex interactions between environmental, genomic, and epigenetic alterations. In the current study, we aimed to identify clusters of genes whose promoter methylation status correlated with various tested clinical features. Molecular datasets of genetic and methylation analysis based on whole-genome sequencing of 159 OSCC patients were obtained from the The Cancer Genome Atlas (TCGA) data portal. Genes were clustered based on their methylation status and were tested for their association with demographic, pathological, and clinical features of the patients. Overall, seven clusters of genes were revealed that showed a significant association with the overall survival/recurrence free survival of patients. The top ranked genes within cluster 4, which showed the worst prognosis, primarily acted as paraneoplastic genes, while the genes within cluster 6 primarily acted as anti-tumor genes. A significant difference was found regarding the mean age in the different clusters. No significant correlation was found between the tumor staging and the different clusters. In conclusion, our result provided a proof-of-principle for the existence of phenotypic diversity among the epigenetic clusters of OSCC and demonstrated the utility of the use epigenetics alterations in devolving new prognostic and therapeutics tools for OSCC patients.


2015 ◽  
Vol 19 (3) ◽  
pp. 335 ◽  
Author(s):  
BK Varsha ◽  
MB Radhika ◽  
Soumya Makarla ◽  
MoniAbraham Kuriakose ◽  
GVV Satya Kiran ◽  
...  

2015 ◽  
Vol 117 (1) ◽  
pp. 118-125 ◽  
Author(s):  
Yuvaraj Sambandam ◽  
Sashank Sakamuri ◽  
Sundaravadivel Balasubramanian ◽  
Azizul Haque

2019 ◽  
Vol 33 (6) ◽  
pp. 1015-1032 ◽  
Author(s):  
Maria J. De Herdt ◽  
Senada Koljenović ◽  
Berdine van der Steen ◽  
Stefan M. Willems ◽  
Rob Noorlag ◽  
...  

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