Impact of lymph node ratio and number of lymph node metastases on survival and recurrence in laryngeal squamous cell carcinoma

Molteni, Gabriele; Nocini, Riccardo; Mattioli, Francesco; Nakayama, Meijin; Dedivitis, Rogério Aparecido; Mannelli, Giuditta; Crosetti, Erika; Chiesa‐Estomba, Carlos Miguel; Sistiaga-Suárez, Jon Alexander; Giordano, Leone; Galli, Andrea; Lionello, Marco; Mercante, Giuseppe; Ralli, Massimo; Fermi, Matteo; Klein-Rodríguez, Alejandro; Mayo‐Yáñez, Miguel; Serafini, Edoardo; Pirola, Francesca; Paderno, Alberto; Cambria, Francesca; Sano, Daisuke; Boscolo‐Rizzo, Paolo; Marcuzzo, Alberto Vito; Parrinello, Giampiero; Marchi, Filippo; Saibene, Alberto Maria; Tucciarone, Manuel; Viscasillas, Guillem; Zeleník, Karol; Ramos, Daniel M.; Palacios-García, José María; Tirelli, Giancarlo; Pellini, Raul; Paludetti, Gaetano; Galli, Jacopo; Rossi, Giorgia; Vincentiis, Marco de; Cernea, Cláudio Roberto; Spriano, Giuseppe; Bussi, Mario; Peretti, Giorgio; Succo, Giovanni; Piazza, Cesare; Bertolin, Andy; Kowalski, Luiz Paulo; Presutti, Livio; Sacchetto, Andrea

doi:10.1002/hed.27471

Cited by 5 publications

(1 citation statement)

References 38 publications

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“…The TNM system is the most widely utilised framework to stage LSCC and provide valuable predictions of survival 2 . The prognostic heterogeneity inherent to laryngeal neoplasms, particularly for those at advanced stages, has been the subject of extensive studies from our group and others aimed at identification of potential predictors [3][4][5][6][7][8][9][10] . Several prognostic factors have been implicated in LSCC, including disease stage, surgical margin status, tumour differentiation, extranodal extension (ENE), and the presence of lympho-vascular (LVI) or perineural invasion (PNI) [11][12][13] .…”

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confidence: 99%

Thyroid cartilage infiltration in advanced laryngeal cancer: prognostic implications and predictive modelling

Montenegro,

Paderno,

Ravanelli

et al. 2024

Acta Otorhinolaryngol Ital

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SUMMARY Objective Detection of laryngeal cartilage invasion is of great importance in staging of laryngeal squamous cell carcinoma (LSCC). The role of prognosticators in locally advanced laryngeal cancer are still widely debated. This study aimed to assess the impact of volume of thyroid cartilage infiltration, as well as other histopathologic variables, on patient survival. Materials and methods We retrospectively analysed 74 patients affected by pT4 LSCC and treated with total laryngectomy between 2005 and 2021 at the Department of Otorhinolaryngology – Head and Neck Surgery of the University of Brescia, Italy. We considered as potential prognosticators histological grade, perineural (PNI) and lympho-vascular invasion (LVI), thyroid cartilage infiltration, and pTN staging. Pre-operative CT or MRI were analysed to quantify the volume of cartilage infiltration using 3D Slicer software. Results The 1-, 3-, and 5-year disease free survivals (DFS) were 76%, 66%, and 64%, respectively. Using machine learning models, we found that the volume of thyroid cartilage infiltration had high correlation with DFS. Patients with a higher volume (>670 mm 3 ) of infiltration had a worse prognosis compared to those with a lower volume. Conclusions Our study confirms the essential role of LVI as prognosticator in advanced LSCC and, more innovatively, highlights the volume of thyroid cartilage infiltration as another promising prognostic factor.

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Section: Introductionmentioning

confidence: 99%

Thyroid cartilage infiltration in advanced laryngeal cancer: prognostic implications and predictive modelling

Montenegro,

Paderno,

Ravanelli

et al. 2024

Acta Otorhinolaryngol Ital

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Integrating lymph node ratio into personalized radiotherapy for oral cavity squamous cell carcinoma

Zhang,

Zhu,

Cao

et al. 2024

Head & Neck

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PurposeThe use of postoperative radiotherapy (PORT) in patients with oral squamous cell carcinoma (OCSCC) lacks clear boundaries due to the non‐negligible toxicity accompanying its remarkable cancer‐killing effect. This study aims at validating the ability of deep learning models to develop individualized PORT recommendations for patients with OCSCC and quantifying the impact of patient characteristics on treatment selection.MethodsParticipants were categorized into two groups based on alignment between model‐recommended and actual treatment regimens, with their overall survival compared. Inverse probability treatment weighting was used to reduce bias, and a mixed‐effects multivariate linear regression illustrated how baseline characteristics influenced PORT selection.Results4990 patients with OCSCC met the inclusion criteria. Deep Survival regression with Mixture Effects (DSME) demonstrated the best performance among all the models and National Comprehensive Cancer Network guidelines. The efficacy of PORT is enhanced as the lymph node ratio (LNR) increases. Similar enhancements in efficacy are observed in patients with advanced age, large tumors, multiple positive lymph nodes, tongue involvement, and stage IVA. Early‐stage (stage 0–II) OCSCC may safely omit PORT.ConclusionsThis is the first study to incorporate LNR as a tumor character to make personalized recommendations for patients. DSME can effectively identify potential beneficiaries of PORT and provide quantifiable survival benefits.

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Number of positive lymph nodes and lymph node ratio predict recurrence and survival in hypopharyngeal cancer based on SEER database and validation of real-world data

Li,

Wang

2024

Eur Arch Otorhinolaryngol

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Impact of lymph node ratio and number of lymph node metastases on survival and recurrence in laryngeal squamous cell carcinoma

Cited by 5 publications

References 38 publications

Thyroid cartilage infiltration in advanced laryngeal cancer: prognostic implications and predictive modelling

Thyroid cartilage infiltration in advanced laryngeal cancer: prognostic implications and predictive modelling

Integrating lymph node ratio into personalized radiotherapy for oral cavity squamous cell carcinoma

Number of positive lymph nodes and lymph node ratio predict recurrence and survival in hypopharyngeal cancer based on SEER database and validation of real-world data

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