Identification of novel diagnostic markers for sinonasal undifferentiated carcinoma

Targeting sinonasal undifferentiated carcinoma with a combinatory immunotherapy approach

PURPOSE

Sinonasal undifferentiated carcinoma (SNUC) is a rare, aggressive malignancy of the sinonasal cavity with poor prognosis and limited treatment options. To investigate the potential for SNUC sensitivity to combinatory immunotherapy, we performed in vitro studies with SNUC cell lines and used multi-spectral immunofluorescence to characterize the in vivo patient SNUC tumor immune microenvironment (TIME).

EXPERIMENTAL DESIGN

Human-derived SNUC cell lines were used for in vitro studies of tumor cell susceptibility to natural killer (NK) cell-based immunotherapeutic strategies. Tumor samples from 14 treatment naïve SNUC patients were examined via multi-spectral immunofluorescence and clinical correlations assessed.

RESULTS

Anti-PD-L1 blockade enhanced NK cell lysis of SNUC cell lines ∼5.4 fold (P ≤ 0.0001). This effect was blocked by a CD16 neutralizing antibody demonstrating activity through an antibody-dependent cellular cytotoxicity (ADCC) mediated pathway. ADCC-dependent lysis of SNUC cells was further enhanced by upregulation of PD-L1 on tumor cells by exogenous interferon-gamma (IFN-γ) administration or interleukin-15 (IL-15) stimulated IFN-γ release from NK cells. Combination treatment with anti-PD-L1 blockade and IL-15 superagonism enhanced NK-cell killing of SNUC cells 9.6-fold (P ≤ 0.0001). Untreated SNUC patient tumor samples were found to have an NK cell infiltrate and PD-L1+ tumor cells at a median of 5.4 cells per mm2. A striking 55.7-fold increase in CKlow tumor cell/NK cell interactions was observed in patients without disease recurrence after treatment (P = 0.022). Patients with higher CD3+CD8+ in the stroma had a significantly improved 5-year overall survival (P = 0.0029) and a significant increase in CKlow tumor cell/CD8+ cytotoxic T cell interactions was noted in long-term survivors (P = 0.0225).

CONCLUSION

These data provide the pre-clinical rationale for ongoing investigation into combinatory immunotherapy approaches for SNUC.

Neuroendocrine and undifferentiated sinonasal and skull base tumors: An up-to-date narrative review

Tumors located in the nasal cavity, paranasal sinuses and the skull base comprise a wide range of histologic subtypes. Among them, neuroendocrine and undifferentiated tumors are rare but noteworthy, because of their distinctive features, aggressive nature, and diagnostic complexities. A literature search was conducted in the PubMed/MEDLINE and the Scopus databases from 2019 until inception. The keywords "neuroendocrine", "undifferentiated", "nose", "sinonasal", "paranasal", "skull base" were used. Thirty-eight articles referring to neuroendocrine and undifferentiated tumors of the nose, paranasal sinuses and the skull base were finally included and analyzed. Neuroendocrine and undifferentiated tumors of the nose, paranasal sinuses and the skull base are infrequent malignancies, most commonly affecting middle-aged men. They usually present with non-specific symptoms, even though ocular or neurologic manifestations may occur. Prognosis is generally poor; however, novel targeted and immunological therapies have shown promising results. Sinonasal Neuroendocrine Carcinomas (SNECs) carry distinct histological and immunohistochemical features. Management consists of surgical resection coupled with systematic therapy. Sinonasal Undifferentiated Carcinomas (SNUCs) lack specific squamous or glandular features. They typically stain positive for pancytokeratin and INI1 antibody. Treatment includes induction chemotherapy, followed by a combination of chemotherapy and radiotherapy. Olfactory neuroblastomas (ONBs) have neuroepithelial or neuroblastic features. They show diffuse positivity for various markers, including synaptophysin, chromogranin, and neuron-specific enolase (NSE). Surgical resection plus radiotherapy is considered the treatment of choice. In conclusion, neuroendocrine and undifferentiated tumors arising from the nose, paranasal sinuses and the skull base represent a unique group of malignancies. A thorough understanding of their clinical features, molecular changes, diagnostic approaches, treatment modalities, and prognostic factors is critical for providing optimal patient care. Still, continued research efforts and multidisciplinary collaboration are warranted, in order to improve outcomes for patients diagnosed with these rare and aggressive tumors.

Does Reorganization of Clinicopathological Information Improve Prognostic Stratification and Prediction of Chemoradiosensitivity in Sinonasal Carcinomas? A Retrospective Study on 145 Patients

Background

The classification of sinonasal carcinomas (SNCs) is a conundrum. Consequently, prognosis and prediction of response to non-surgical treatment are often unreliable. The availability of prognostic and predictive measures is an unmet need, and the first logical source of information to be investigated is represented by the clinicopathological features of the disease. The hypothesis of the study was that clinicopathological information on SNC could be exploited to better predict prognosis and chemoradiosensitivity.

Methods

All patients affected by SNC who received curative treatment, including surgery, at the Unit of Otorhinolaryngology—Head and Neck Surgery of the University of Brescia between October 1998 and February 2019 were included in the analysis. The institutional series was reviewed and a survival analysis was performed. Machine learning and multivariable statistical methods were employed to develop, analyze, and test 3 experimental classifications (classification #1, based on cytomorphological, histomorphological, and differentiation information; classification #2, based on differentiation information; and classification #3, based on locoregional extension) of SNC, based on the inherent clinicopathological information. The association of experimental classifications with prognosis and chemoradiosensitivity was tested.

Results

The study included 145 patients. From a prognostic standpoint, the machine learning-generated classification of SNC provided better prediction than the current World Health Organization classification. However, the prediction of the chemoradiosensitivity of SNC was not achievable.

Conclusions

Reorganization of clinicopathological information, with special reference to those related to tumor differentiation, can improve the reliability of prognosis of SNC. Prediction of chemoradiosensitivity remains an unmet need and further research is required.

Molecular Biomarkers in Sinonasal Cancers: New Frontiers in Diagnosis and Treatment

Purpose of Review

Sinonasal tumors are rare and heterogeneous diseases which pose challenges in diagnosis and treatment. Despite significant progress made in surgical, oncological, and radiotherapy fields, their prognosis still remains poor. Therefore, alternative strategies should be studied in order to refine diagnosis and improve patient care.

Recent Findings

In recent years, in-depth molecular studies have identified new biological markers, such as genetic abnormalities and epigenetic variations, which have allowed to refine diagnosis and predict prognosis. As a consequence, new histological entities have been described and specific subgroup stratifications within the well-known histotypes have been made possible. These discoveries have expanded indications for immunotherapy and targeted therapies in order to reduce tumor spread, thus representing a valuable implementation of standard treatments.

Summary

Recent findings in molecular biology have paved the way for better understanding and managing such rare and aggressive tumors. Although further efforts need to be made in this direction, expectations are promising.

Survival Outcomes in Sinonasal Poorly Differentiated Squamous Cell Carcinoma

OBJECTIVE

Sinonasal squamous cell carcinoma (SCC) is rare with no consensus on treatment regimen. Our goal is to analyze treatment outcomes in poorly differentiated SCC (PDSCC) using a large national database.

STUDY DESIGN

Retrospective database study.

METHODS

The National Cancer Database was queried for sinonasal invasive SCC, grade 3 (poorly differentiated) from 2004 to 2014. Patient demographics and tumor and treatment characteristics were tabulated. Kaplan-Meier (KM) analysis was performed to compare overall survival (OS) between histology subtype and primary site. Multivariable Cox proportional hazards regression was performed for statistical analysis of treatment regimen on OS.

RESULTS

A total of 1,074 patients were identified. The maxillary sinus was the most common site (45%). T4 tumors were observed in 50% of patients, with most patients treated at high-volume facilities (77%). In KM analysis, spindle cell SCC histological subtype, primary tumors of the maxillary sinus, and poorly differentiated grade had worse OS. In our Cox-PH model, higher T stage and age were associated with worse OS. Those treated at a high-volume facility and those who underwent surgical resection followed by adjuvant radiation had improved OS. Chemotherapy within the treatment regimen did not confer survival benefit except in surgical patients when positive margins were present, and surgery with adjuvant chemoradiation trended toward improved survival.

CONCLUSIONS

Sinonasal PDSCC appears to be best treated at high-volume centers with surgical resection followed by adjuvant radiation. Poorly differentiated grade has worse OS compared to more differentiated tumors. Chemotherapy along with adjuvant radiation may have a role in patients with positive surgical margins.

LEVEL OF EVIDENCE

4 Laryngoscope, 131:E1040-E1048, 2021.

Novel Biomarkers in Sinonasal Cancers: from Bench to Bedside

PURPOSE OF REVIEW

Sinonasal cancers are a heterogenous group of rare cancers for which histopathological diagnosis can be very challenging and treatment options are limited for advanced disease in particular. Here, we review the candidacy of novel diagnostic and prognostic biomarkers, and therapeutic targets for sinonasal cancers.

RECENT FINDINGS

Molecular multidimensional analyses of sinonasal cancers have been lagging behind other major cancers, but there are numerous publications describing the discovery of novel candidate biomarkers, e.g. the methylation classifier, originally developed for brain cancers, and gene expression panels for the prediction of response to induction chemotherapy in sinonasal undifferentiated carcinoma. The most promising biomarkers are summarized and discussed further with regard to their clinical applicability and future potential. Many of the described novel biomarkers for sinonasal cancers will eventually overcome the pitfalls associated with the frequently non-specific immunohistological tests. With comprehensive, multidimensional molecular testing of these tumours in collaborative consortia projects, our better understanding of the molecular mechanisms of sinonasal cancers and their carcinogenesis will determine the most useful diagnostic and prognostic biomarkers, allow stringent multi-institutional validation and guide trials on targeted therapies.