Survival after surgery for oral cancer: a 30-year experience

Ong, T.K.; Murphy, Conor; Smith, Adam B.; Kanatas, Anastasios; Mitchell, David

doi:10.1016/j.bjoms.2017.08.362

Cited by 48 publications

(49 citation statements)

References 21 publications

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“…Some of the studies claimed that prognosis at a young age was similar (Blanchard et al, ; de Morais et al, ; Farquhar et al, ; Martinez et al, ), worse (Zhang et al, ), or better (Sommers et al, ) compared to that of older patients. We found that male gender was associated with a poorer prognosis, which was in accordance with previous studies (Ong, Murphy, Smith, Kanatas, & Mitchell, ; Santos et al, ). However, when we analyzed the demographic data in the context of CAF density, a clear trend of subclassification of the patients could be performed in terms of clinical outcomes, namely that male patients with high CAF density had a better prognosis than female patients.…”

Section: Discussionsupporting

confidence: 93%

Oral cancer‐associated fibroblasts predict poor survival: Systematic review and meta‐analysis

et al. 2019

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Objectives To perform systematic review and meta‐analysis on correlations between cancer‐associated fibroblasts (CAFs) and the risk of death for patients with oral squamous cell carcinoma. Subjects and methods English literature (1966–2018) was systematically analyzed for studies that immunohistochemically assessed CAF density by alpha‐smooth muscle actin and presented 5 year survival rates by Kaplan–Meier plots. Mean age of patients, proportion of male/female patients, and male/female majority (>50% male/female patients) per study were also collected. Significance level for statistical models was p < 0.05. Results Meta‐analysis comprised 11 studies/1,040 patients. Univariate Cox regressions showed that high CAF density was a negative prognostic factor in studies with female and male majority [OR 5.329 (95% CI 3.223–8.811), p < 0.001, and OR 2.208 (95% CI 1.717–2.839), p < 0.001, respectively]. High CAF density with male majority was associated with a more favorable prognosis [OR 0.996 (95% CI 0.979–1.013), p < 0.001]. Multivariate Cox regressions showed that death risk was significantly higher among patients with high CAF density compared to low CAF [OR 2.741 (95% CI 2.220–3.384) p < 0.001]. High mean age and male proportion were significantly protective [OR 0.940 (95% CI 0.925–9.955), p < 0.001, OR 0.125 (95% CI 0.018–0.867), p = 0.035), respectively]. Conclusions CAFs increased death risk, male majority, and higher mean age were protective. A clinically validated cutoff for CAF density could serve as a reliable prognostic tool.

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Section: Discussionsupporting

confidence: 93%

Oral cancer‐associated fibroblasts predict poor survival: Systematic review and meta‐analysis

et al. 2019

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“…The 5‐year OS rate of our patient population was 81%. This value is higher as most survival rates described by other authors, which range between 41% and 70% (Bloebaum, Poort, Böckmann, & Kessler, 2014; Gil et al., 2009; González‐García et al., 2009; Jardim, Francisco, Gondak, Damascena, & Kowalski, 2015; Ong, Murphy, Smith, Kanatas, & Mitchell, 2017; Rogers et al., 2009; Wong et al., 2012; Zanoni et al., 2019). The 5‐year DFS and 5‐year LRC rate were 66% and 75%, respectively.…”

Section: Discussionmentioning

confidence: 56%

“…Furthermore, the T‐ and the N‐classification are very strong prognosticators for OS in both the uni‐ and multivariate analysis. They also significantly influence DFS and LRC (Caldeira, Soto, de Aguiar, & Martins, 2019; Carrillo et al., 2016; Chen et al., 2016; DeConde et al., 2012; Gil et al., 2009; Jardim et al., 2015; Mizrachi et al., 2018; Ong et al., 2017; Rogers et al., 2009; Shinn et al., 2018; Wong et al., 2012; Zanoni et al., 2019). Larger primary tumours are, especially when infiltrating the adjacent tissue and particularly in case of bone invasion, associated with a worse prognosis (Wong et al., 2012; Woolgar, 2006).…”

Section: Discussionmentioning

confidence: 99%

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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“…Although diagnostic and therapeutic modalities have improved, the prognosis of patients with advanced oral squamous cell carcinoma (OSCC) still remains relatively poor, with 5-year survival rates of approximately 50%. 1 The poor prognosis is mainly due to the lack of early detection of OSCC, the high incidence of metastasis/recurrence after surgery, and the chemoresistance of OSCC. 2 , 3 A new optical imaging method capable of sensitively and specifically detecting OSCC must be developed to improve the prognosis of OSCC.…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Near-Infrared Fluorescence Imaging Method for the Detection of Oral Cancers in Mice Using an Indocyanine Green–Labeled Podoplanin Antibody

Ito

Ohta

Kato

et al. 2018

Technol Cancer Res Treat

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Podoplanin is distinctively overexpressed in oral squamous cell carcinoma than oral benign neoplasms and plays a crucial role in the pathogenesis and metastasis of oral squamous cell carcinoma but its diagnostic application is quite limited. Here, we report a new near-infrared fluorescence imaging method using an indocyanine green (ICG)–labeled anti-podoplanin antibody and a desktop/a handheld ICG detection device for the visualization of oral squamous cell carcinoma–xenografted tumors in nude mice. Both near-infrared imaging methods using a desktop (in vivo imaging system: IVIS) and a handheld device (photodynamic eye: PDE) successfully detected oral squamous cell carcinoma tumors in nude mice in a podoplanin expression–dependent manner with comparable sensitivity. Of these 2 devices, only near-infrared imaging methods using a handheld device visualized oral squamous cell carcinoma xenografts in mice in real time. Furthermore, near-infrared imaging methods using the handheld device (PDE) could detect smaller podoplanin-positive oral squamous cell carcinoma tumors than a non-near-infrared, autofluorescence-based imaging method. Based on these results, a near-infrared imaging method using an ICG-labeled anti-podoplanin antibody and a handheld detection device (PDE) allows the sensitive, semiquantitative, and real-time imaging of oral squamous cell carcinoma tumors and therefore represents a useful tool for the detection and subsequent monitoring of malignant oral neoplasms in both preclinical and some clinical settings.

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Survival after surgery for oral cancer: a 30-year experience

Cited by 48 publications

References 21 publications

Oral cancer‐associated fibroblasts predict poor survival: Systematic review and meta‐analysis

Oral cancer‐associated fibroblasts predict poor survival: Systematic review and meta‐analysis

Survival outcomes after surgical treatment of oral squamous cell carcinoma

A Real-Time Near-Infrared Fluorescence Imaging Method for the Detection of Oral Cancers in Mice Using an Indocyanine Green–Labeled Podoplanin Antibody

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