Primary tumor volume as a predictor of distant metastases and survival in patients with sinonasal mucosal melanoma

Flukes, Stephanie; Lohia, Shivangi; Barker, Christopher A.; Cracchiolo, Jennifer R.; Ganly, Ian; Patel, Snehal G.; Roman, Benjamin R.; Shah, Jatin P.; Shoushtari, Alexander N.; Tabar, Viviane; Shah, Akash; Cohen, Marc A.

doi:10.1002/hed.26380

Cited by 4 publications

(3 citation statements)

References 40 publications

(51 reference statements)

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“…MMHN is an aggressive malignancy whose comprehensive treatment modalities are complex and clinical outcomes are still unsatisfactory 12 . The AJCC 8th edition staging system lacks the ability to predict prognosis 13 . MMHN patients in the same stage can have obviously different survival rates 14 .…”

Section: Discussionmentioning

confidence: 99%

WITHDRAWN: Establishing and Assessing a Nomogram Based on the Clinical Features of Mucosal Melanoma of the Head and Neck

Chen

et al. 2021

Preprint

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Objectives: The rarity of mucosal melanoma of the head and neck (MMHN) and the lack of prospective clinical trials has resulted in the limited knowledge of its clinical features and prognosis. We aimed to understand the clinical characteristics and developed a nomogram to better predict the prognosis of patients with MMHN.Methods: Based on a total of 300 patients with nonmetastatic MMHN, multivariable Cox regression was performed to analyze independent prognostic factors. The overall survival (OS), disease-free survival (DFS), distant metastasis-free survival (DMFS), and locoregional relapse-free survival (LRRFS) of MMHN patients could be monitored using the nomogram. To facilitate clinical application, an online dynamic nomogram was established.Results: Multivariate analysis identified primary tumor site, T stage and N stage as independent risk factors for survival. This factor-based nomogram had prognostic value for OS, DFS, DMFS, and LRRFS. Receiver operating characteristic analysis indicated the high diagnostic accuracy of the nomogram (AUC > 0.7). Kaplan–Meier survival curves indicated that the risk score of the nomogram effectively stratified MMHN patients with poor survival into a high-risk group (all P<0.001). Conclusions: The nomogram is conducive to stratifying MMHN patients into clinically meaningful taxonomies and subsequently providing individualized treatment.

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Section: Discussionmentioning

confidence: 99%

WITHDRAWN: Establishing and Assessing a Nomogram Based on the Clinical Features of Mucosal Melanoma of the Head and Neck

Chen

et al. 2021

Preprint

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“…Researches on other tumors also support this conclusion. GTV_P volume ≥5 cm 3 was associated with a significantly worse OS in patients with sinonasal mucosal melanoma [ 33 ]. Another finding suggested that a pathological tumor volume of ≥18 cm 3 was significantly correlated with shorter OS of oral squamous cell carcinoma [ 34 ].…”

Section: Discussionmentioning

confidence: 99%

Machine Learning of Dose-Volume Histogram Parameters Predicting Overall Survival in Patients with Cervical Cancer Treated with Definitive Radiotherapy

Yang

Liu

et al. 2022

Journal of Oncology

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Purpose. To analyze the effects of dosimetric parameters and clinical characteristics on overall survival (OS) by machine learning algorithms. Methods and Materials. 128 patients with cervical cancer were treated with definitive pelvic radiotherapy with or without chemotherapy followed by image-guided brachytherapy. The elastic-net models with integrating DVH parameters and baseline clinical factors, only DVH parameters and only baseline clinical factors were constructed in 5-folds cross-validations for 100 iteration bootstrapping, and then were compared using concordance index (C-index) criteria. Finally, the selected important factors were used to build multivariable Cox-pH models for OS and also shown in nomograms for clinical usage. Results. The median OS occurred was 25.78 months with 25 (19.53%) deaths. The elastic-net models integrating clinical and DVH factors had the best prediction performances (C-index 0.76 in the train set and C-index 0.74 in the test set). Three important factors were selected, including baseline hemoglobin level as the protective factor, primary tumor volume (GTV_P) volume, and body V5 as the risk factors. The final multivariable Cox-pH models were constructed using these important factors and had prediction performance (C-index: 0.78, 95%CI: 0.73–0.81). Conclusions. This is the first attempt to establish elastic-net models to study the contributions of DVH parameters for predicting OS in patients with cervical cancer. These results can facilitate individualized tailoring of radiation treatment in cervical cancer patients.

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“…The remarkable rate of distant metastasis regardless of the stage at presentation [4,142] makes MM similar to a systemic tumor, leading several authors to conclude that systemic therapy should be part of the future standard of care even in the curative setting [143]. Since tumor volume has been demonstrated to predict the risk of distant metastases and death, then it could be employed as a TDTC to implement systemic therapy in initial treatment [141,144]. Currently, chemotherapy has a limited role in the management of MM, especially in the curative setting [145].…”

Section: Mucosal Melanomamentioning

confidence: 99%

Precision Medicine in the Treatment of Malignancies Involving the Ventral Skull Base: Present and Future

Ferrari

Taboni

Contro

et al. 2023

Critical Issues in Head and Neck Oncology

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Cancers involving the ventral skull base are rare and exceedingly heterogeneous. The variety of malignant tumors that arise in the nasal cavity, paranasal sinuses, nasopharynx, and adjacent mesenchymal tissues translates into a proportionally vast spectrum of prognoses, with some histologies such as olfactory neuroblastoma being associated with rare disease-specific death to other histologies such as mucosal melanoma for which survival beyond 5 years is considered a fortunate exception. Parallel to prognosis, treatment of sinonasal cancers is complex, controversial, and deeply dependent upon the putative pretreatment diagnosis. Given their heterogeneity, cancers of the ventral skull base are particularly prone to multidisciplinary management, which is indispensable. The therapeutic options available to date for these cancers include surgery, which currently remains the mainstay of treatment in most cases, along with radiotherapy and chemotherapy. Biotherapy and immunotherapy are only anecdotally and compassionately used. For each histology, a careful selection of modalities and their timing is paramount to ensure the best chance of cure. In keeping with the principles of precision medicine, several nuances displayed by malignancies of the ventral skull base are being considered as treatment-driving characteristics. This current trend arose from the observation that a remarkable variability of behavior can be observed even within a single histology. Although evidence is lacking in this field and several potential customizations of treatment are still at a theoretical level, understanding of these cancers is rapidly evolving and practical applications of this increasing knowledge is the much-needed step forward in the management of such rare cancers. This chapter highlights the tumor characteristics that may serve as treatment-driving factors in the most relevant cancers invading the ventral skull base.

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Primary tumor volume as a predictor of distant metastases and survival in patients with sinonasal mucosal melanoma

Cited by 4 publications

References 40 publications

WITHDRAWN: Establishing and Assessing a Nomogram Based on the Clinical Features of Mucosal Melanoma of the Head and Neck

WITHDRAWN: Establishing and Assessing a Nomogram Based on the Clinical Features of Mucosal Melanoma of the Head and Neck

Machine Learning of Dose-Volume Histogram Parameters Predicting Overall Survival in Patients with Cervical Cancer Treated with Definitive Radiotherapy

Precision Medicine in the Treatment of Malignancies Involving the Ventral Skull Base: Present and Future

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