The Combination of Inflammatory Biomarkers as Prognostic Indicator in Salivary Gland Malignancy

Abbate, Vincenzo; Barone, Simona; Troise, Stefania; Laface, Claudia; Bonavolontà, Paola; Pacella, Daniela; Salzano, Giovanni; İaconetta, Giorgio; Califano, Luigi; Orabona, Giovanni Dell’Aversana

doi:10.3390/cancers14235934

Cited by 15 publications

(13 citation statements)

References 27 publications

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“…For example, pre-treatment neutrophil-to-lymphocyte ratio (NLR) has been investigated, and a strong statistical correlation was observed with positive neck occult metastasis in laryngeal squamous cell carcinoma [35]. Another study by Orabona et al confirmed the independent prognostic power of the systemic immune-inflammation index (SII) and the systemic inflammation response index (SIRI) on OS of patients who received malignant salivary gland tumor surgery [36].…”

Section: Discussionmentioning

confidence: 98%

Quantitative Spatial Characterization of Lymph Node Tumor for N Stage Improvement of Nasopharyngeal Carcinoma Patients

Zhang

Teng

Lam

et al. 2022

Cancers

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This study aims to investigate the feasibility of improving the prognosis stratification of the N staging system of Nasopharyngeal Carcinoma (NPC) from quantitative spatial characterizations of metastatic lymph node (LN) for NPC in a multi-institutional setting. A total of 194 and 284 NPC patients were included from two local hospitals as the discovery and validation cohort. Spatial relationships between LN and the surrounding organs were quantified by both distance and angle histograms, followed by principal component analysis. Independent prognostic factors were identified and combined with the N stage into a new prognostic index by univariate and multivariate Cox regressions on disease-free survival (DFS). The new three-class risk stratification based on the constructed prognostic index demonstrated superior cross-institutional performance in DFS. The hazard ratios of the high-risk to low-risk group were 9.07 (p < 0.001) and 4.02 (p < 0.001) on training and validation, respectively, compared with 5.19 (p < 0.001) and 1.82 (p = 0.171) of N3 to N1. Our spatial characterizations of lymph node tumor anatomy improved the existing N-stage in NPC prognosis. Our quantitative approach may facilitate the discovery of new anatomical characteristics to improve patient staging in other diseases.

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Section: Discussionmentioning

confidence: 98%

Quantitative Spatial Characterization of Lymph Node Tumor for N Stage Improvement of Nasopharyngeal Carcinoma Patients

Zhang

Teng

Lam

et al. 2022

Cancers

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“…In addition, the combination of these biomarkers, particularly the SII and SIRI scores, has been evaluated as useful in preoperative risk stratification to effectively guide the treatment strategy and postoperative follow-up of patients with salivary gland malignancies. This combination, consolidating all three parameters simultaneously in the formula, has the capacity to fully assess the balance between the host immune and inflammatory conditions [ 17 ]. Inflammatory biomarkers, in addition to playing a supportive role in the assessment of poor prognosis, can also be used as diagnostic tools in difficult cases to provide proper guidance for the treatment of these tumors.…”

Section: Discussionmentioning

confidence: 99%

Support Tools in the Differential Diagnosis of Salivary Gland Tumors through Inflammatory Biomarkers and Radiomics Metrics: A Preliminary Study

Committeri

Barone

Salzano

et al. 2023

Cancers

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Background: The purpose of this study was to investigate how the systemic inflammation response index (SIRI), systemic immune-inflammation index (SII), neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR), and radiomic metrics (quantitative descriptors of image content) extracted from MRI sequences by machine learning increase the efficacy of proper presurgical differentiation between benign and malignant salivary gland tumors. Methods: A retrospective study of 117 patients with salivary gland tumors was conducted between January 2015 and November 2022. Univariate analyses with nonparametric tests and multivariate analyses with machine learning approaches were used. Results: Inflammatory biomarkers showed statistically significant differences (p < 0.05) in the Kruskal–Wallis test based on median values in discriminating Warthin tumors from pleomorphic adenoma and malignancies. The accuracy of NLR, PLR, SII, and SIRI was 0.88, 0.74, 0.76, and 0.83, respectively. Analysis of radiomic metrics to discriminate Warthin tumors from pleomorphic adenoma and malignancies showed statistically significant differences (p < 0.05) in nine radiomic features. The best multivariate analysis result was obtained from an SVM model with 86% accuracy, 68% sensitivity, and 91% specificity for six features. Conclusions: Inflammatory biomarkers and radiomic features can comparably support a pre-surgical differential diagnosis.

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“…[5][6][7] Recently, blood inflammatory indices have also been recognized as prognostic indicators for MSGTs. Abbate et al 13 have demonstrated that the combination of SII + SIRI is a valid, fast, and low-cost prognostic system to stratify patients at a higher risk of disease progression.…”

Section: Discussionmentioning

confidence: 99%

Impact of Sarcopenia on Survival of Patients With Malignant Salivary Glands Tumors

Abbate,

Troise,

Togo

et al. 2023

Otolaryngol.--head neck surg.

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ObjectiveMalignant salivary glands tumors (MSGTs) are a quite rare and heterogeneous group of tumors. Management of these lesions remains controversial and challenging. Thus, finding new prognostic factors that can help to guide the decision‐making process, appears to be paramount. The aim of this study was to evaluate the prognostic performance of preoperative sarcopenia to stratify MSGTs patients at high risk of disease progression.Study DesignRetrospective study.SettingA single‐institution analysis (Maxillo‐facial Surgery Unit, University of Naples Federico II).MethodsThe study consists of a retrospective analysis of 74 patients surgically treated for MSGTs. For all patients, the skeletal muscle index (SMI) was calculated and sarcopenia was defined as SMI < 41 in females and <43 in males. The correlation between sarcopenia and tumor variables was analyzed. The prognostic performance of sarcopenia was evaluated through survival Kaplan‐Meier curves.ResultsSarcopenia resulted statistically related to age (P < .001), tumor size (P < .001), lymph node metastases (P < .001), and American Joint Committee on Cancer tumor, node, metastasis stage (P < .001). Kaplan‐Meier survival curves show that 47.3% of sarcopenic patients died before their final follow‐up.ConclusionData obtained from our study seem to confirm the correlation between sarcopenia and other high‐risk features. The early detection of sarcopenia in patients with negative prognostic factors could be used to implement the support therapeutic strategies aimed at restore the clinical conditions of the patients. Sarcopenia may be routinely investigated before surgery to suggest the implementation of precautionary therapeutic strategies to improve the standard treatment response, reducing possible complications.

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The Combination of Inflammatory Biomarkers as Prognostic Indicator in Salivary Gland Malignancy

Cited by 15 publications

References 27 publications

Quantitative Spatial Characterization of Lymph Node Tumor for N Stage Improvement of Nasopharyngeal Carcinoma Patients

Quantitative Spatial Characterization of Lymph Node Tumor for N Stage Improvement of Nasopharyngeal Carcinoma Patients

Support Tools in the Differential Diagnosis of Salivary Gland Tumors through Inflammatory Biomarkers and Radiomics Metrics: A Preliminary Study

Impact of Sarcopenia on Survival of Patients With Malignant Salivary Glands Tumors

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