Prognostic significance of tumor budding thresholds in oral tongue squamous cell carcinoma

Mascitti, Marco; Togni, Lucrezia; Caponio, Vito Carlo Alberto; Zhurakivska, Khrystyna; Muzio, Lorenzo Lo; Rubini, Corrado; Santarelli, Andrea; Troiano, Giuseppe

doi:10.1111/odi.14193

Cited by 6 publications

(25 citation statements)

References 74 publications

(240 reference statements)

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“…Single cut-off: 3 buds/field [ 31 , 32 , 44 , 64 ] 4 buds/field [ 55 ] 5 buds/fields [ 16 , 23 , 24 , 26 , 29 , 33 , 34 , 37 , 38 , 40 , 43 , 53 , 58 , 59 , 60 , 63 , 64 , 67 , 69 , 71 ] 10 buds/field [ 15 , 19 , 61 , 62 ] 15 buds/field [ 24 ] …”

Section: Tumor Budding In Oral Squamous Cell Carcinomamentioning

confidence: 99%

“…5 buds/fields [ 16 , 23 , 24 , 26 , 29 , 33 , 34 , 37 , 38 , 40 , 43 , 53 , 58 , 59 , 60 , 63 , 64 , 67 , 69 , 71 ]…”

Section: Tumor Budding In Oral Squamous Cell Carcinomaunclassified

“…Double cut-off: 0 and 5 buds/field [ 68 , 72 ] 3 and 5 buds/field [ 18 ] 5 and 10 buds/field [ 28 , 29 , 36 , 64 , 65 , 73 ] …”

Section: Tumor Budding In Oral Squamous Cell Carcinomamentioning

confidence: 99%

“…n. of HPF evaluated: 1, 5, 10 1 [ 5 , 15 , 16 , 18 , 19 , 23 , 24 , 25 , 26 , 28 , 29 , 30 , 32 , 34 , 36 , 37 , 38 , 40 , 43 , 44 , 53 , 54 , 55 , 56 , 57 , 60 , 61 , 62 , 63 , 64 , 65 , 67 , 68 , 69 , 71 , 73 , 74 ] 5 [ 15 , 33 ] 10 [ 19 , 24 , 66 …”

Section: Tumor Budding In Oral Squamous Cell Carcinomaunclassified

“…1 [ 5 , 15 , 16 , 18 , 19 , 23 , 24 , 25 , 26 , 28 , 29 , 30 , 32 , 34 , 36 , 37 , 38 , 40 , 43 , 44 , 53 , 54 , 55 , 56 , 57 , 60 , 61 , 62 , 63 , 64 , 65 , 67 , 68 , 69 , 71 , 73 , 74 ]…”

Section: Tumor Budding In Oral Squamous Cell Carcinomaunclassified

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The Emerging Impact of Tumor Budding in Oral Squamous Cell Carcinoma: Main Issues and Clinical Relevance of a New Prognostic Marker

Togni

Caponio

Zerman

et al. 2022

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Tumor Budding (TB) represents a single cancer cell or a small cluster of less than five cancer cells on the infiltrative tumor front. Accumulating evidence suggests TB is an independent prognostic factor in oral squamous cell carcinoma (OSCC). However, its exact role is not yet elucidated, and a standardized scoring system is still necessary. The study aims to extensively review the literature data regarding the prognostic role of TB in OSCC. The results of TB are an independent prognostic factor of poor survival outcomes in OSCC. To date, the manual detection of hematoxylin and eosin-staining or pancytokeratin-immunostaining sections are the most commonly used methods. Between the several cut-offs, the two-tier system with five buds/field cut-offs provides better risk stratification. The prognostic role of the BD model in predicting survival outcomes was extensively validated; however, the inclusion of DOI, which is already a staging parameter, encouraged other authors to propose other models, integrating TB count with other adverse risk factors, such as the tumor–stroma ratio and tumor-infiltrated lymphocytes. The prognostic relevance of TB in OSCC highlights its evaluation in daily pathological practice. Therefore, the TB detection method and the TB scoring system should be validated based on tumor stage and site.

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Section: Tumor Budding In Oral Squamous Cell Carcinomamentioning

confidence: 99%

“…5 buds/fields [ 16 , 23 , 24 , 26 , 29 , 33 , 34 , 37 , 38 , 40 , 43 , 53 , 58 , 59 , 60 , 63 , 64 , 67 , 69 , 71 ]…”

Section: Tumor Budding In Oral Squamous Cell Carcinomaunclassified

“…Double cut-off: 0 and 5 buds/field [ 68 , 72 ] 3 and 5 buds/field [ 18 ] 5 and 10 buds/field [ 28 , 29 , 36 , 64 , 65 , 73 ] …”

Section: Tumor Budding In Oral Squamous Cell Carcinomamentioning

confidence: 99%

Section: Tumor Budding In Oral Squamous Cell Carcinomaunclassified

“…1 [ 5 , 15 , 16 , 18 , 19 , 23 , 24 , 25 , 26 , 28 , 29 , 30 , 32 , 34 , 36 , 37 , 38 , 40 , 43 , 44 , 53 , 54 , 55 , 56 , 57 , 60 , 61 , 62 , 63 , 64 , 65 , 67 , 68 , 69 , 71 , 73 , 74 ]…”

Section: Tumor Budding In Oral Squamous Cell Carcinomaunclassified

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The Emerging Impact of Tumor Budding in Oral Squamous Cell Carcinoma: Main Issues and Clinical Relevance of a New Prognostic Marker

Togni

Caponio

Zerman

et al. 2022

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Prediction of cervical lymph node metastasis from immunostained specimens of tongue cancer using a multilayer perceptron neural network

et al. 2022

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Background Although cervical lymph node metastasis is an important prognostic factor for oral cancer, occult metastases remain undetected even by diagnostic imaging. We developed a learning model to predict lymph node metastasis in resected specimens of tongue cancer by classifying the level of immunohistochemical (IHC) staining for angiogenesis‐ and lymphangiogenesis‐related proteins using a multilayer perceptron neural network (MNN). Methods We obtained a dataset of 76 patients with squamous cell carcinoma of the tongue who had undergone primary tumor resection. All 76 specimens were IHC stained for the six types shown above (VEGF‐C, VEGF‐D, NRP1, NRP2, CCR7, and SEMA3E) and 456 slides were prepared. We scored the staining levels visually on all slides. We created virtual slides (4560 images) and the accuracy of the MNN model was verified by comparing it with a hue–saturation (HS) histogram, which quantifies the manually determined visual information. Results The accuracy of the training model with the MNN was 98.6%, and when the training image was converted to grayscale, the accuracy decreased to 52.9%. This indicates that our MNN adequately evaluates the level of staining rather than the morphological features of the IHC images. Multivariate analysis revealed that CCR7 staining level and T classification were independent factors associated with the presence of cervical lymph node metastasis in both HS histograms and MNN. Conclusion These results suggest that IHC assessment using MNN may be useful for identifying lymph node metastasis in patients with tongue cancer.

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High-grade tumor budding is a risk factor for survival in patients with laryngeal squamous cell carcinoma

Luo,

Liu

2023

Brazilian Journal of Otorhinolaryngology

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Prognostic significance of tumor budding thresholds in oral tongue squamous cell carcinoma

Cited by 6 publications

References 74 publications

The Emerging Impact of Tumor Budding in Oral Squamous Cell Carcinoma: Main Issues and Clinical Relevance of a New Prognostic Marker

The Emerging Impact of Tumor Budding in Oral Squamous Cell Carcinoma: Main Issues and Clinical Relevance of a New Prognostic Marker

Prediction of cervical lymph node metastasis from immunostained specimens of tongue cancer using a multilayer perceptron neural network

High-grade tumor budding is a risk factor for survival in patients with laryngeal squamous cell carcinoma

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