Bryne's grading system predicts poor disease-specific survival of oral squamous cell carcinoma: a comparative study among different histologic grading systems

Wagner, Vivian Petersen; Webber, Liana Preto; Curra, Marina; Klein, Isadora Peres; Meurer, Luíse; Carrad, Vinicius Coelho

doi:10.1016/j.oooo.2017.02.012

Cited by 32 publications

(41 citation statements)

References 22 publications

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“…The correct diagnosis of the different stages of OSCC patients played a significant role in the management and prognosis. 14,15 Although there were Table 3 The results of the classification of different T stage groups numerous algorithms to analyze and classify the spectral data, 6,[16][17][18] the PCA-LDA was mostly employed in the classification of Raman spectra and had a perfect performance. 2,7,19 In this study, it was the first time to classify and diagnose the different TNM stages and histologic grades of OSCC by using SERS and PCA-LDA based on the serum samples.…”

Section: Discussionmentioning

confidence: 99%

Surface-enhanced Raman spectroscopy of blood serum based on gold nanoparticles for tumor stages detection and histologic grades classification of oral squamous cell carcinoma

Xue

Yan²,

et al. 2018

IJN

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BackgroundTumor stages detection and histologic grades classification are essential for the diagnosis and prognosis of oral squamous cell carcinoma (OSCC). In this research, we apply surface-enhanced Raman spectroscopy (SERS) of blood serum to detect the tumor stages and histologic classification of OSCC.MethodsAccording to TNM classification and World Health Organization histologic grading system, the blood serum samples were collected from a total of 135 OSCC patients in the different tumor stages and histologic grades. Then the SERS spectra of serum samples from OSCC patients were diagnosed and classified into different groups using principal component analysis (PCA) and linear discriminant analysis (LDA) based on the tumor sizes, lymph node metastasis and histologic grades.ResultsThe SERS spectra of blood serum samples have shown the distinct changes and differences compared with each other, which were assigned to the biomolecule alterations (nucleic acids, proteins, lipids, and so on) in blood serums. And all accuracies of detection and classification reached above 85%.ConclusionThis study demonstrated that the SERS based on blood serum test had an enormous potential to carry out the preoperative assessment and prediction of the OSCC patients in different tumor stages and histologic classification.

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Section: Discussionmentioning

confidence: 99%

Surface-enhanced Raman spectroscopy of blood serum based on gold nanoparticles for tumor stages detection and histologic grades classification of oral squamous cell carcinoma

Xue

Yan²,

et al. 2018

IJN

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“…The pathological reports were examined for demographic data. The histological grade was revised by two oral pathologists according to a classification proposed by the World Health Organization (26) while the amount of inflammation was evaluated in the peritumoral areas. Immunohistochemistry was performed on 3 μm formalin-fixed paraffin-embedded tissue sections using the Ventana Benchmark GX automated system (Ventana Medical Systems Inc., Tucson, Arizona).…”

Section: Methodsmentioning

confidence: 99%

Different methods of cell quantification can lead to different results: a comparison of digital methods using a pilot study of dendritic cells in HIV-positive patients

Fernandes

Heerden²,

Ribeiro³

et al. 2020

Med Oral

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Background: Although new digital pathology tools have improved the positive cell quantification, there is a heterogeneity of the quantification methods in the literature. The aim of this study was to evaluate and propose a novel dendritic cells quantification method in squamous cell carcinoma comparing it with a conventional quantification method. Material and Methods: Twenty-six squamous cell carcinomas HIV-positive cases affecting the oropharynx, lips and oral cavity were selected. Immunohistochemistry for CD1a, CD83, and CD207 was performed. The immunohistochemical stains were evaluated by automated examination using a positive pixel count algorithm. A conventional quantification method (unspecific area method; UA) and a novel method (specific area method; SA) were performed obtaining the corresponding density of positive dendritic cells for the intratumoral and peritumoral regions. The Mann-Whitney U test was used to verify the influence of the quantification methods on the

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“…However, the WHO itself states this system has its limitations on prognosis of Oral Cancer but could be improved when margins are analysed. Broder's classification breaks down tumours into four different grades according to degree of differentiation and keratinisation of tumour cells; Anneroth's grading considers keratinisation, nuclear polymorphism, the number of mitoses, the pattern and stage of invasion and lymphoplasmacytic infiltration within thickness of tumour and Bryne's grading is based on assessing the invasive front excluding mitotic count [6].…”

Section: Histological Grading Systems Of Oral Cancermentioning

confidence: 99%

“…Furthermore, hypoxia plays an important role in cancer cell progression, whereby rapid growth of cancer cells leads to a hypoxic environment particularly at the centre of SCC lesions, further increasing their proliferative capacity and malignancy capability. Under these hypoxic conditions, cells undergo the 'Epithelial Mesenchymal Transition (EMT)' where epithelial cells become more fibroblastic in nature and thus more invasive with metastatic potential [6,8]. The presence of fibroblasts in the environment further leads to growth of epithelial cells with assisted keratinocyte growth factor stimulation.…”

Section: Predisposing Risk Factors For the Development Of Oral Cancermentioning

confidence: 99%

Oral Cancer and Potentially Malignant Disorders

Elimairi¹,

Sami²,

Yousef³

2018

Histopathology - An Update

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Oral Cancer remains a greatly problematic disease with rising distribution globally, particularly the disappointing presentation among younger age groups. Varying common risk factors exist, including but not limited to premalignant disorders such as human papilloma virus (HPV) infection and immunosuppression. Genetical abnormalities and the field of epigenetics remain a new and vital piece of the puzzle in the development of Oral Cancer. Squamous cell carcinoma (SCC) remains the main histological burden with its varying counterparts; however, many types of other Oral Cancers can present in the mouth and are discussed in this chapter. More so, Oral Cancer brings with it the challenging face of diagnosis and treatment as well as effective control of metastasis. We discuss in this chapter, the epidemiology of the disease, Oral Cancer nomenclature, histological advances, clinical presentations, important risk factors, and metastatic disease pathology.

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Bryne's grading system predicts poor disease-specific survival of oral squamous cell carcinoma: a comparative study among different histologic grading systems

Cited by 32 publications

References 22 publications

Surface-enhanced Raman spectroscopy of blood serum based on gold nanoparticles for tumor stages detection and histologic grades classification of oral squamous cell carcinoma

Surface-enhanced Raman spectroscopy of blood serum based on gold nanoparticles for tumor stages detection and histologic grades classification of oral squamous cell carcinoma

Different methods of cell quantification can lead to different results: a comparison of digital methods using a pilot study of dendritic cells in HIV-positive patients

Oral Cancer and Potentially Malignant Disorders

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