P16 positivity and regression grade predict survival after neoadjuvant radiotherapy of <scp>OSCC</scp>

Eder-Czembirek, Christina; Sulzbacher, Irene; Fuereder, Thorsten

doi:10.1111/odi.12814

Cited by 4 publications

(2 citation statements)

References 39 publications

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“…These discrepancies could be due to such factors as differences in sampling techniques, preparation and detection methods. In our study, the median concentration of p16 in the study group was higher in the tumour tissue than in the margin samples, which seemed to confirm the results of studies carried out with the use of the bioinformatics instruments and IHC [ 48 , 49 , 50 , 51 , 52 ]. Interestingly, it has been speculated that the p16 concentration could be higher in OSCC patients with HPV infection [ 53 ].…”

Section: Discussionsupporting

confidence: 90%

The Potential Association between E2F2, MDM2 and p16 Protein Concentration and Selected Sociodemographic and Clinicopathological Characteristics of Patients with Oral Squamous Cell Carcinoma

Świętek

Gołąbek

Hudy

et al. 2023

CIMB

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Background: E2F transcription factor 2 (E2F2), murine double minute 2 (MDM2) and p16 are some of the key proteins associated with the control of the cell cycle. The aim of this study was to evaluate E2F2, MDM2 and p16 concentrations in the tumour and margin samples of oral squamous cell carcinoma and to assess their association with some selected sociodemographic and clinicopathological characteristics of the patients. Methods: The study group consisted of 73 patients. Protein concentrations were measured by enzyme-linked immunosorbent assay (ELISA). Results: There were no statistically significant differences in the levels of E2F2, MDM2 or p16 in the tumour samples as compared to the margin specimens. We found that patients with N0 showed significantly lower E2F2 concentrations than patients with N1 in the tumour samples and the median protein concentration of E2F2 was higher in HPV-negative patients in the tumour samples. Moreover, the level of p16 in the margin samples was lower in alcohol drinkers as compared to non-drinkers. Similar observations were found in concurrent drinkers and smokers compared to non-drinkers and non-smokers. Conclusions: E2F2 could potentially promote tumour progression and metastasis. Moreover, our results showed a differential level of the analysed proteins in response to alcohol consumption and the HPV status.

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Section: Discussionsupporting

confidence: 90%

The Potential Association between E2F2, MDM2 and p16 Protein Concentration and Selected Sociodemographic and Clinicopathological Characteristics of Patients with Oral Squamous Cell Carcinoma

Świętek

Gołąbek

Hudy

et al. 2023

CIMB

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“…As with most previous studies, our multivariate Cox regression analysis suggested that age is a signi cant risk factor for survival in BSCC patients. Our nomogram indicates that pathological grade is the most important factor, while age is the second most important one [15,16], and there is no signi cant difference between grades I and II. Multivariate analyses indicated that older age was an independent risk variable, with older patients having a lower survival rate [9,17,18].…”

Section: Discussionmentioning

confidence: 90%

Nomogram for predicting cancer-specific survival of patients with buccal squamous cell carcinoma: a population-based study

Wang

chu²,

Yang

et al. 2020

Preprint

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Background The use of the traditional American Joint Committee on Cancer (AJCC) staging system alone has limitations in predicting the survival of buccal squamous cell carcinoma (BSCC) patients. We aimed to establish a comprehensive prognostic nomogram whose prognostic value compared with AJCC system. Methods Patients were obtained from the SEER (Surveillance, Epidemiology, and End Result) database. The Cox regression model was used to select variables using a backward stepwise selection method. Based on the predictive model for determining prognostic factors, a nomogram was developed to predict the cancer-specific survival rates of BSCC patients at 3, 5 and 8 years. We used several standard model validation methods to evaluate the performance of the survival model: concordance index (C-index), area under the time-dependent receiver operating characteristic curve (AUC), net reclassification improvement (NRI), calibration plots, decision curve analyses (DCAs), and integrated discrimination improvement (IDI). Results Multivariate analysis showed that age, AJCC stage, N stage, M stage, pathological grade, and surgical status were risk factors for survival. The c-index chart, the AUC chart, and the calibration chart show that the performance of the nomogram is better, and the NRI and IDI values show that the performance of the nomogram is better than that of the AJCC staging system. The 3-year, 5-year and 8-year DCA curves of nomogram show that it has more net benefit than traditional AJCC staging system, both in terms of training and validation queues. Conclusion We developed and validated the first BSCC prognosis nomogram, which has a better prognostic value than the separate AJCC staging system. Our BSCC prognosis nomogram is a valuable tool for explaining the risks of the next 3, 5 and 8 years in clinical practice.

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Trop2 inhibition of P16 expression and the cell cycle promotes intracellular calcium release in OSCC

Jia¹,

Wang²,

Ding

et al. 2020

International Journal of Biological Macromolecules

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P16 positivity and regression grade predict survival after neoadjuvant radiotherapy of OSCC

Cited by 4 publications

References 39 publications

The Potential Association between E2F2, MDM2 and p16 Protein Concentration and Selected Sociodemographic and Clinicopathological Characteristics of Patients with Oral Squamous Cell Carcinoma

The Potential Association between E2F2, MDM2 and p16 Protein Concentration and Selected Sociodemographic and Clinicopathological Characteristics of Patients with Oral Squamous Cell Carcinoma

Nomogram for predicting cancer-specific survival of patients with buccal squamous cell carcinoma: a population-based study

Trop2 inhibition of P16 expression and the cell cycle promotes intracellular calcium release in OSCC

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