Soft tissue sarcoma of the head & neck: nomogram validation and analysis of staging systems

The inflammatory-nutritional score and nomogram for R0 resected head and neck soft tissue sarcoma

OBJECTIVES

To explore the predictive value of inflammatory-nutritional score (INS) and a nomogram for survivals in head and neck soft tissue sarcoma (HNSTS) patients with negative resection margins (R0).

METHODS

Clinical characteristics and hematological features of 315 HNSTS patients underwent R0 surgery were analyzed.

RESULTS

The 5-year overall survival (OS) rate, 3-year recurrence-free survival rate and disease-free survival (DFS) rate were 77.3%, 61.0% and 55.4%, respectively. High INS was associated with a deep tumor location (p < 0.001), high tumor grade (p < 0.001), and advanced AJCC stage (p < 0.001). The low-risk group (INS 0) exhibited a higher 5-year OS rate and 3-year DFS rate than others (87.6% vs. 81.3% vs. 53.3%, p < 0.001; 62.2% vs. 56.9% vs. 37.9%, p = 0.007). The INS (p = 0.023), tumor depth (p < 0.001), pT classification (p = 0.022), pN classification (p < 0.001) and tumor grade (p < 0.001) were independent survival predictors. Moreover, a novel nomogram for predicting OS was generated and assessed by the concordance index, exhibiting a better performance than the p7TNMG classification alone (p < 0.001).

CONCLUSIONS

For R0 resected HNSTS patients, the oncological outcomes can be predicted using the INS system and a specific nomogram.

Time to Local Recurrence as a Predictor of Survival in Adult Head and Neck Soft Tissue Sarcoma

OBJECTIVES

We sought to evaluate the impact of the time interval from surgical resection to local recurrence (TTLR) on clinical outcomes in head and neck soft tissue sarcoma (HNSTS).

METHODS

A total of 401 patients who underwent R0 resection for primary HNSTS were included in this study. Patients with local recurrence as the first event after their initial resection were divided into early local recurrence (ELR) or late local recurrence (LLR) groups according to TTLR. Multiple survival analyses were performed to identify the independent prognostic predictors of overall survival (OS) and survival after local recurrence (SAR).

RESULTS

Two hundred and nine of the 401 patients (52.1%) developed local recurrence during a median follow-up period of 134.6 months. Patients in the ELR group had a shorter median OS time (35.0 vs. 120.6, p < 0.001) and lower 5-year OS rate (47.7% vs. 80.9%, p < 0.001) than those in the LLR group. Moreover, the ELR group exhibited worse SAR (p = 0.001) than the LLR group, and multivariate analyses demonstrated TTLR as an independent prognostic factor for SAR (p = 0.048) and OS (p = 0.004). Additionally, re-resection significantly prolonged SAR than other salvage interventions or no treatment (p < 0.001).

CONCLUSION

In patients with HNSTS, ELR after R0 resection presents adverse effects on OS and SAR than those with LLR, and TTLR could serve as a promising predictor for survival. Salvage therapies, especially the re-resection could improve SAR and should be recommended when there are surgical indications after recurrence.

LEVEL OF EVIDENCE

3 Laryngoscope, 133:2174-2182, 2023.

A Random Forest Model for Post-Treatment Survival Prediction in Patients with Non-Squamous Cell Carcinoma of the Head and Neck

BACKGROUND

Compared to squamous cell carcinoma, head and neck non-squamous cell carcinoma (HNnSCC) is rarer. Integrated survival prediction tools are lacking.

METHODS

4458 patients of HNnSCC were collected from the SEER database. The endpoints were overall survivals (OSs) and disease-specific survivals (DSSs) of 3 and 5 years. Cases were stratified-randomly divided into the train & validation (70%) and test cohorts (30%). Tenfold cross validation was used in establishment of the model. The performance was evaluated with the test cohort by the receiver operating characteristic, calibration, and decision curves.

RESULTS

The prognostic factors found with multivariate analyses were used to establish the prediction model. The area under the curve (AUC) is 0.866 (95%CI: 0.844-0.888) for 3-year OS, 0.862 (95%CI: 0.842-0.882) for 5-year OS, 0.902 (95%CI: 0.888-0.916) for 3-year DSS, and 0.903 (95%CI: 0.881-0.925) for 5-year DSS. The net benefit of this model is greater than that of the traditional prediction methods. Among predictors, pathology, involved cervical nodes level, and tumor size are found contributing the most variance to the prediction. The model was then deployed online for easy use.

CONCLUSIONS

The present study incorporated the clinical, pathological, and therapeutic features comprehensively and established a clinically effective survival prediction model for post-treatment HNnSCC patients.

Staging Systems and Nomograms for Soft Tissue Sarcoma

Reliable tools for prognosis prediction are crucially needed by oncologists so they can tailor individual treatments. However, the wide spectrum of histologies and prognostic behaviors of sarcomas challenges their development. In this field, nomograms could definitely better account for their granularity compared to the more widely used AJCC/UICC TNM staging system. Nomograms are predictive tools that incorporate multiple risk factors and return a numerical probability of a clinical event. Since the development of the first nomogram in 2002, several other nomograms have been built, either general, site-specific, histology-specific, or both. Recently, some new “dynamic” nomograms and prognostic tools have been developed, allowing doctors to “recalculate” a patient’s prognosis by taking into account the time since primary surgery, the event history, and the potential time-dependent effect of covariates. Due to these new tools, prognosis prediction is no longer limited to the time of the first computation but can be adapted and recalculated based on the occurrence (or not) of any event as time passes from the first computation. In this review, we aimed to give an overview of the available nomograms for STS and to help clinicians in the process of selecting the best tool for each patient.

Head and neck adult-type soft tissues sarcomas: survival analysis and comparison between the last two editions of the TNM staging system

PURPOSE

Head and neck soft tissues sarcomas (HNSTS) are a heterogeneous group of rare tumours. The 8th edition of the TNM staging system (8TNM) considered these lesions separately for the first time. The aim of this study is to assess its effectiveness and identify the most significant prognostic factors for HNSTS.

METHODS

A retrospective survival analysis on 101 HNSTS operated between 1995 and 2015 at the National Cancer Institute of Milan was carried out. The variables considered were pathological stage (according to both the 7TNM and 8TNM), site, histotype, depth, grading, surgical radicality, (neo)adjuvant radiotherapy and/or chemotherapy.

RESULTS

According to the 7TNM, the T category distribution was 35 T1a, 23 T1b, 11 T2a, and 32 T2b. Applying the 8TNM, the distribution changed to 19 T1, 18 T2, 35 T3, and 29 T4. Five-year overall and disease-specific survivals were 74.3 and 76.2%, respectively. Univariate analysis demonstrated an increased hazard ratio (HR) for deep lesions invading adjacent structures, high-grade, surgery with close/microscopically positive margins, and chemotherapy. Multivariate analysis confirmed an increased HR for deep location and size > 5 cm, G2-G3 tumours, and marginal surgery. No significant difference was found among T categories of the 8TNM.

CONCLUSION

The present study underlines the negative prognostic impact of depth, size > 5 cm, high grade, and marginal treatment for HNSTS. Our results did not allow to validate the 8TNM staging system since, apparently, it was not associated with meaningful prognostic stratification. Further studies with wider multicentric cohorts should, however, be performed to obtain more powerful statistical data.

Radiotherapy for parapharyngeal space tumors

A wide variety of tumors, both benign and malignant, occur in the parapharyngeal space. Depending on histology and extent, treatment may include surgery and/or radiotherapy (RT). Herein we discuss the role of RT in the management of some of the more commonly encountered neoplasms, including salivary gland tumors, paragangliomas, schwannomas, and soft-tissue sarcomas.

Ending 40 years of silence: Rationale for a new staging system for soft tissue sarcoma of the head and neck

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For 40 years, all soft tissue sarcoma (STS) used the same TNM where T1 was <=5 cm.

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This staging is unsuited for STS of the head and neck (STSHN) since only a minority are >5 cm.

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Despite smaller size, local recurrence is higher in STSHN compared to other STS.

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A new T classification with 2 and 4 cm cut-offs for STSHN was introduced in TNM-8.

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Future requirements for STSHN Stage Group development are mentioned.

The tumor, node, metastases (TNM) anatomic staging system plays a pivotal role in cancer care, research, and cancer control activities. Since the first edition of the American Joint Committee on Cancer TNM staging classification published in 1977, soft tissue sarcomas have been staged in an anatomic site agnostic fashion whereby the primary tumor size (T) was categorized as T1 if <=5 cm and T2 if >5 cm; this remained unchanged through the 7th edition of the TNM. However, soft tissue sarcomas of the head and neck (STSHN) usually present smaller than sarcomas of other sites, but carry a disproportionate risk of local recurrence. Up to 70% of tumors are less than 5 cm at presentation, and therefore classified together as T1. Given the rarity of STSHN, there is a paucity of data to guide progress in their classification. Moreover, the majority of publications only report tumor size as less than or greater than 5 cm, presumably based on conventions of the TNM system that remained unchanged for 40 years, thereby affecting progress of STSHN classification. This formed the impetus for change in the 8th edition in 2 key ways: 1) several soft tissue sarcoma site based changes occurred including STSHN now having its own system, and 2) primary tumor size cut-offs of 2 cm and 4 cm used in STSHN now reflect sizes that head and neck specialists commonly encounter in their practice. This update was pragmatic in modifying the TNM from a system with a T category not serving STSHN and which was originally based on sarcoma data from non-head and neck anatomic sites. The background to this change is outlined which provides a framework in which data can be reported to generate evidence for future staging modifications.

Case Report: Exome sequencing reveals recurrent RETSAT mutations and a loss-of-function POLDIP2 mutation in a rare undifferentiated tongue sarcoma

Soft tissue sarcoma of the tongue represents a very rare head and neck cancer with connective tissue features, and the genetics underlying this rare cancer are largely unknown. There are less than 20 cases reported in the literature thus far. Here, we reported the first whole-exome characterization (>×200 depth) of an undifferentiated sarcoma of the tongue in a 31-year-old male. Even with a very good sequencing depth, only 19 nonsynonymous mutations were found, indicating a relatively low mutation rate of this rare cancer (lower than that of human papillomavirus (HPV)-positive head and neck cancer). Yet, among the few genes that are somatically mutated in this HPV-negative undifferentiated tongue sarcoma, a noticeable deleterious frameshift mutation (with a very high allele frequency of >93%) of a gene for DNA replication and repair, namely POLDIP2 (DNA polymerase delta interacting protein 2), and two recurrent mutations of the adipogenesis and adipocyte differentiation gene RETSAT (retinol saturase), were identified. Thus, somatic events likely affecting adipogenesis and differentiation, as well as potential stem mutations to POLDIP2, may be implicated in the formation of this rare cancer. This identified somatic whole-exome sequencing profile appears to be distinct from that of other reported adult sarcomas from The Cancer Genome Atlas, suggesting a potential unique genetic profile for this rare sarcoma of the tongue. Interestingly, this low somatic mutation rate is unexpectedly found to be accompanied by multiple tumor protein p53 and NOTCH1 germline mutations of the patient’s blood DNA. This may explain the very early age of onset of head and neck cancer, with likely hereditary predisposition. Our findings are, to our knowledge, the first to reveal a unique genetic profile of this very rare undifferentiated sarcoma of the tongue.

Soft tissue sarcoma nomograms and their incorporation into practice

The accurate prediction of prognosis in patients with soft tissue sarcoma (STS) is a challenging issue. Extreme variability in the clinical and pathological characteristics of this family of tumors hinders the simple stratification of patients into meaningful prognostic cohorts. Precision medicine tools for the prediction of prognosis, such as nomograms, enable personalized computation of outcome based on clinical and pathological characteristics of both patient and tumor. The eighth edition of the American Joint Committee on Cancer staging manual moved from a "population-based" to a "personalized" approach endorsing high-quality nomograms to improve clinician prediction ability in definite patient subgroups. The first nomogram for STS was published in 2002, and this was followed by several prognostic predictors offered to clinicians. Focusing on a specific STS subgroup or site, nomograms can take into consideration highly specific factors relevant only in that particular scenario, thereby maximizing prognostic ability. The objective of this review was to critically evaluate available nomograms for patients with STS to provide clinicians and researchers with a choice of the most optimal tool for each specific patient. Cancer 2017;123:2802-20. © 2017 American Cancer Society.

Survival and Margin Status in Head and Neck Radiation-Induced Sarcomas and De Novo Sarcomas

Objective To describe histologic subtypes and oncologic outcomes among patients with radiation-induced and de novo sarcomas of the head and neck. Study Design Retrospective case series with chart review. Setting Tertiary academic center. Subject and Methods In total, 166 adult patients with sarcoma of the head and neck treated from January 1, 1985, to January 1, 2010, were included. Tumors were characterized as radiation induced (15.1%) vs de novo sarcomas (84.9%). Clinical and tumor characteristics were compared. The primary outcomes were overall survival (OS) and disease-specific survival (DSS). Results Radiation-induced sarcomas were more likely to be high grade ( P = .006) and advanced stage ( P = .03). Chondrosarcoma was more common in de novo tumors ( P = .02) while leiomyosarcoma ( P = .01), sarcoma not otherwise specified ( P = .02), and undifferentiated pleomorphic sarcoma ( P < .001) were more common in radiation-induced sarcomas. Radiation-induced sarcomas were associated with statistically significantly worse DSS ( P = .019) and OS ( P = .005) compared with de novo sarcomas, but when only high-grade soft tissue sarcomas were analyzed, neither DSS ( P = .48) nor OS ( P = .29) differed. Margin status was a significant predictor of survival as both R0 and R1 resections correlated with statistically better DSS and OS compared with R2 ( P < .001) resections and patients treated with radiation therapy/chemoradiation therapy alone ( P = .005). Conclusion Radiation-induced sarcomas of the head and neck correlate with worse survival compared with de novo tumors; however, when controlling for tumor grade and resection status, there is no statistically significant difference in observed outcomes.

Current update on the diagnosis and management of head and neck soft tissue sarcomas

Head and neck soft tissue sarcomas are a group of rare heterogeneous tumours arising from embryonic mesoderm. They comprise <1% of all head and neck malignancies and 5-15% of all sarcomas with most head and neck sarcomas arising from soft tissues. Although rare, they are associated with both high recurrence and mortality rates. We review the current management of head and neck soft tissue sarcomas.