Time to recurrence and patient survival in recurrent oral squamous cell carcinoma

Weckx, Annelies; Riekert, Maximilian; Grandoch, Andrea; Schick, Volker; Zöller, Joachim E.; Kreppel, Matthias

doi:10.1016/j.oraloncology.2019.05.002

Cited by 55 publications

(60 citation statements)

References 38 publications

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“…Rogers et al (Rogers et al., 2009) report that the 5‐year life expectancy of those patients without recurrence is similar to their unaffected counterparts and that this reflects geographical and life style factors. Moreover, some groups (Camisasca et al., 2011; Chang et al., 2017; Kernohan et al., 2010; Rogers et al., 2009; Vázquez‐Mahía et al., 2012; Weckx et al., 2019) describe that not only the occurrence of a recurrence but also the time to recurrence influences the patient's prognosis. They found that an earlier recurrence is associated with an even worse OS and explain this by the fact that tumours that recur more quickly are biologically more aggressive and therefore have a poorer outcome.…”

Section: Discussionmentioning

confidence: 99%

“…They found that an earlier recurrence is associated with an even worse OS and explain this by the fact that tumours that recur more quickly are biologically more aggressive and therefore have a poorer outcome. Also, the presence of narrow/positive surgical margins or genetically altered tissue adjacent to the primary tumour could cause these very early relapses (Braakhuis, Bloemena, Leemans, & Brakenhoff, 2010; Weckx et al., 2019). These findings highlight the great importance of an early diagnosis of recurrent disease.…”

Section: Discussionmentioning

confidence: 99%

“…Although this poor prognosis in the presence of perineural infiltration was confirmed by most other investigators (Carrillo et al., 2016; Chatzistefanou, Lubek, Markou, & Ord, 2017; Chen et al., 2016; Jardim et al., 2015; Rogers et al., 2009; Wong et al., 2012; Woolgar, 2006; Yu et al., 2014; Zanoni et al., 2019)—Carrillo et al. (2016) even showed perineural infiltration to be an independent predictor for LRC in a multivariate analysis—some (Camisasca et al., 2011; Weckx et al., 2019) also deny a correlation. This can probably be explained by the inhomogeneous definition of perineural infiltration.…”

Section: Discussionmentioning

confidence: 99%

“…This poorer outcome was confirmed by others (Chen et al., 2016; González‐García et al., 2009; Kernohan et al., 2010; Lee et al., 2019; Rogers et al., 2009) and reflects the severity of the underlying pathology. It is caused by a combination of a more advanced disease with less favourable tumour characteristics, a limitation of the remaining salvage options and possibly radiation‐induced DNA damage (Kernohan et al., 2010; Robinson, Neugut, Murray, & Rennert, 1991; Weckx et al., 2019).…”

Section: Discussionmentioning

confidence: 99%

“…Tumour relapse remains one of the major problems in managing oral squamous cell carcinoma (OSCC) and is associated with a dramatic worsening of the patient's prognosis. After curative intended surgery and appropriate adjuvant therapy, recurrence rates of up to 47% have been reported (González‐García, Naval‐Gías, Román‐Romero, Sastre‐Pérez, & Rodríguez‐Campo, 2009; Safi et al., 2017; Shinn et al., 2018; Weckx et al., 2019; Yanamoto et al., 2012). The 5‐year overall survival decreases from 70% to 30% in case of a relapse (Camisasca et al., 2011; Ermer et al., 2015; Safi et al., 2017; Vázquez‐Mahía et al., 2012).…”

Section: Introductionmentioning

confidence: 99%

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Survival outcomes after surgical treatment of oral squamous cell carcinoma

et al. 2020

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Objective To identify the clinicopathological parameters that influence survival in patients with oral squamous cell carcinoma, in order to allow for the development of individualized surveillance programmes and reduce the delay in diagnosis of recurrence. Materials and Methods Retrospective chart review of 553 patients with a treatment‐naïve primary oral squamous cell carcinoma, who underwent primarily curative intended surgery. Exclusion criteria were neoadjuvant radio(chemo)therapy, follow‐up < 1 year, perioperative death, inoperable disease, synchronous multiple malignancies and inadequate information on clinicopathological parameters. Results The clinicopathological factors that influence overall survival, disease‐free survival and locoregional control were calculated. In the multivariate survival analysis, the occurrence of recurrence, presence of extracapsular spread, T‐ and N‐classification were shown to be independent risk factors for overall survival. Conclusion The identification of these risk factors can lead to the development of individualized follow‐up programmes based on risk stratification. This allows for the earliest possible diagnosis of relapse which is essential to offer the patient a realistic second treatment chance and to improve survival rates.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Survival outcomes after surgical treatment of oral squamous cell carcinoma

et al. 2020

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Association of genetic variants of CircCHST15 with oral squamous cell carcinoma in the Chinese Han population

Wang

Zhang

et al. 2023

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Background Oral squamous cell carcinoma (OSCC) is the most common cancer in the oral cavity. The relationship between the genetic susceptibility of circCHST15 and OSCC remains unclear. Methods Genetic variants of circCHST15 were screened using a genotyping analysis from 1044 patients with OSCC and 3199 healthy participants. The circCHST15 expression was detected in 32 pairs of OSCC tissues. The circular RNA quantitative trait locus analysis and the reporter gene assay were performed for verification. Results The circCHST15 expression was upregulated in OSCC (Wilcoxon p < 1e−3). The genotyping analysis screened out 61 loci in circCHST15 associated with the risk of OSCC. After adjustment and annotation, rs28707473 (A > C, odds ratio = 1.21, 95% CI: 1.076–1.361, p = 1.453e−3) was selected. This genetic variation could elevate the circCHST15 expression level possibly by altering the structure of circular RNAs and affecting transcription factor binding. Conclusions The results of this study suggested that genetic variants of circCHST15 may contribute to OSCC susceptibility.

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Novel Machine Learning Model to Predict Interval of Oral Cancer Recurrence for Surveillance Stratification

et al. 2022

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Objective(s) We aimed to develop a machine learning (ML) model to accurately predict the timing of oral squamous cell carcinoma (OSCC) recurrence across four 1‐year intervals. Methods Patients with surgically treated OSCC between 2012–2018 were retrospectively identified from the Yale‐New Haven Health system tumor registry. Patients with known recurrence or minimum follow‐up of 24 months from surgery were included. Patients were classified into one of five levels: four 1‐year intervals and one level for no recurrence (within 4 years of surgery). Three sets of data inputs (comprehensive, feature selection, nomogram) were combined with 4 ML architectures (logistic regression, decision tree (DT), support vector machine (SVM), artificial neural network classifiers) yielding 12 models in total. Models were primarily evaluated using mean absolute error (MAE), lower values indicating better prediction of 1‐year interval recurrence. Secondary outcomes included accuracy, weighted precision, and weighted recall. Results 389 patients met inclusion criteria: 102 (26.2%) recurred within 48 months of surgery. Median follow‐up time was 25 months (IQR: 15–37.5) for patients with recurrence and 44 months (IQR: 32–57) for patients without recurrence. MAE of 0.654% and 80.8% accuracy were achieved on a 15‐variable feature selection input by 2 ML models: DT and SVM classifiers. Conclusions To our knowledge, this is the first study to leverage multiclass ML models to predict time to OSCC recurrence. We developed a model using feature selection data input that reliably predicted recurrence within 1‐year intervals. Precise modeling of recurrence timing has the potential to personalize surveillance protocols in the future to enhance early detection and reduce extraneous healthcare costs. Level of Evidence 3 Laryngoscope, 133:1652–1659, 2023

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Time to recurrence and patient survival in recurrent oral squamous cell carcinoma

Cited by 55 publications

References 38 publications

Survival outcomes after surgical treatment of oral squamous cell carcinoma

Survival outcomes after surgical treatment of oral squamous cell carcinoma

Association of genetic variants of CircCHST15 with oral squamous cell carcinoma in the Chinese Han population

Novel Machine Learning Model to Predict Interval of Oral Cancer Recurrence for Surveillance Stratification

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