Extracapsular extension is not a significant prognostic indicator in non-squamous cancers of the major salivary glands

Oncologic outcomes of the most prevalent major salivary gland cancers: retrospective cohort study from single center

BACKGROUND

The preoperative diagnosis of salivary gland cancer (SGC) is crucial for the application of appropriate treatment, particularly involving the extension of the resection.

METHODS

Retrospective search of medical database identified 116 patients treated surgically with malignant tumors of salivary gland between 2010 and 2020. Analysis included the demographical data, clinical course, type of surgical and adjuvant treatment, histology type and margin status, perivascular invasion (LVI), perineural invasion (PNI), metastatic lymph nodes (LN). Facial nerve function, recurrence-free and overall survival were evaluated. Adequate statistics were used for data analysis.

RESULTS

The final cohort included 63 SGC patients, with adenoid cystic carcinoma the most common pathological type (27%, n = 17), followed by adenocarcinoma (17.4% n = 11). T1 and T2 patients accounted for majority cases (n = 46). The lymph node metastases were confirmed with the histopathology in 31.7% (n = 20). Distant metastases were observed in 4.8% of cases (n = 3). 38% (n = 24) of SGC were treated selectively with surgery, 49.2% (n = 31) had postoperative radiotherapy and 15.9% (n = 10)-radio-chemotherapy. The final facial nerve function was impaired in 38% of patients. Mean overall survival (OS) for all patients was 108.7 (± 132.1) months, and was the most favorable for acinar cell carcinoma (118.9 ± 45.4) and the poorest for squamous cell carcinoma (44 ± 32). Cox regression analysis of disease-free survival and OS identified significant association only with patients' age over 65 years, the hazard ratio of 7.955 and 6.486, respectively.

CONCLUSIONS

The efficacy of treatment modalities for SGC should be verified with regard to the histopathological type, but also the patients' age should be taken into account.

Extranodal Extension as an Indicator for Sinonasal Squamous Cell Carcinoma Prognosis

OBJECTIVE

Although extranodal extension (ENE) is a known indicator of poor prognosis for head and neck malignancies, its value as an indicator for sinonasal squamous cell carcinoma (SCC) has not been well characterized. This study seeks to assess the usefulness of ENE as a prognostic marker for sinonasal SCC.

STUDY DESIGN

Retrospective database review.

SETTING

National Cancer Database from 2010 to 2015.

METHODS

The National Cancer Database was queried from 2010 to 2015 for all patients with sinonasal SCC with available ENE status (n = 355). These cases were divided into those with pathologically confirmed ENE (n = 146) and those without ENE (n = 209). Univariate and multivariate analyses were used to examine survival differences and predictors of ENE status.

RESULTS

Most patients with ENE were ≥60 years old (61.7%), male (61.6%), and white (83.6%). Patients aged 60 to 69 and 80+ years were more likely to have ENE than those under 60 years (P < .05). Patients with ENE had worse 1-year overall survival than those without ENE (58.2% vs 70.8%, log-rank P = .008). After multivariate regression, however, there was no survival difference detected between ENE-positive and ENE-negative cases (hazard ratio, 1.14 [0.775-1.672], P = .508).

CONCLUSION

ENE status did not have a significant effect on survival in patients with sinonasal SCC. Thus, ENE alone may not necessarily be a helpful indicator for sinonasal SCC prognosis.

Anatomic extent of lymph node metastases as an independent prognosticator in node-positive major salivary gland carcinoma: A study of the US SEER database and a Chinese multicenter cohort

BACKGROUND

We aimed to explore whether the anatomic extent of lymph node metastases (AE-LNM) could independently predict prognosis of node-positive major salivary gland carcinoma (MaSGC).

METHODS

A total of 376 pathologically node-positive MaSGC patients were identified from the Surveillance, Epidemiology and End Results database and constituted the training cohort. Using the X-Tile program, these patients were divided into three groups based on AE-LNM degrees. Discrimination of overall survival (OS) and disease-specific survival (DSS) was evaluated and compared with the 8th American Joint Committee on Cancer (AJCC) pN classification. The results were externally validated by 220 patients in a Chinese multicenter cohort (Validation cohort).

RESULTS

Using the training cohort, AE-LNM was divided into Extent 1 (spread to parotid LNs or level I), Extent 2 (spread to level II-IV) and Extent 3 (spread to level V or bilateral LNs or rare LNs). Regarding both OS and DSS, the AE-LNM model revealed clear separation of survival curves, while the pN classification failed to discriminate the prognosis of pN1 and pN2 patients. When we incorporated both the AE-LNM model and AJCC pN classification into the same multivariate Cox analyses, AE-LNM was still an independent prognostic factor, while the AJCC pN classification lost its significance. These results were externally validated by the validation cohort.

CONCLUSION

AE-LNM is an independent nodal prognosticator for node-positive MaSGC and may have improved discriminative ability over the current AJCC pN classification. Integration of anatomic extent of LNM into the current AJCC N classification could be considered.