Tumor Depth of Invasion (Tumor > 4 cm/Depth > 10 mm and Depth > 20 mm) and Through Cortex/Skin Invasion are Both Valid Criteria for Classifying Tumors as pT4a in AJCC 2018 Oral Cavity Cancer Staging System

Margin status, adjuvant treatment and recurrence in buccal cancer

OBJECTIVE

To assess the prognostic importance of margin in resected buccal cancer within a framework of risk factor-driven postoperative adjuvant treatment.

MATERIALS AND METHODS

Consecutive, treatment naïve patients undergoing primary surgical treatment for buccal cancer. Margin was defined as clear (≥5 mm), close (1-4 mm) and involved (<1 mm). Main outcome was association of margin with local recurrence free survival (LRFS). Subgroup analysis of close margin was performed according to receipt or no receipt of adjuvant treatment. A numerical margin cut-off in mm that could independently predict LRFS was sought to be identified.

RESULTS

Of the 167 patients included, the frequency of clear, close and involved margins was 50 (30 %), 78 (47 %) and 39 (23 %) respectively, among whom 52 %, 44 % and 98 % received postoperative adjuvant treatment respectively. Clear and close margins had similar 3-year LRFS (89 % and 96 % respectively), while involved margin had worse 3-year LRFS at 65 %. Involved margin was confirmed to be strongly and independently associated with worse LRFS. Within close margin, receipt and no receipt of adjuvant treatment had similar 3-year LRFS (92 % and 100 % respectively). A margin cut-off of 2 mm was identified at or above which LRFS approximated that of clear margin.

CONCLUSIONS

This single center cohort study of patients with resected buccal cancer suggests that close margin is distinct from and has a better LRFS than involved margin. A subset of close margin, with margin size ≥ 2 mm and no other adverse features, might be spared adjuvant treatment without compromising outcomes.

Integrating DOI in T classification improves the predictive performance of laryngeal cancer staging

It has been recognized that depth of invasion (DOI) is closely associated with patient survival for most types of cancer. The purpose of this study was to determine the DOI optimal cutoff value and its prognostic value in laryngeal squamous carcinoma (LSCC). Most importantly, we evaluated the prognostic performance of five candidate modified T-classification models in patients with LSCC. LSCC patients from Harbin Medical University Cancer Hospital and Chinese Academy of Medical Sciences Cancer Hospital were divided into training group (n = 412) and validation group (n = 147). The primary outcomes were overall survival (OS) and relapse-free survival (RFS), and the effect of DOI on prognosis was analyzed using a multivariable regression model. We identified the optimal model based on its simplicity, goodness of fit and Harrell's consistency index. Further independent testing was performed on the external validation queue. The nomograms was constructed to predict an individual's OS rate at one, three, and five years. In multivariate analysis, we found significant associations between DOI and OS (Depth of Medium-risk invasion HR, 2.631; P < .001. Depth of high-risk invasion: HR, 5.287; P < .001) and RFS (Depth of high-risk invasion: HR, 1.937; P = .016). Model 4 outperformed the American Joint Committee on Cancer (AJCC) staging system based on a low Akaike information criterion score, improvement in the concordance index, and Kaplan-Meier curves. Inclusion of DOI in the current AJCC staging system can improve the differentiation of T classification in LSCC patients.

A Survival Nomogram Containing Lymph Node Ratio for Hypopharyngeal Carcinoma Patients After Neck Dissection

OBJECTIVE

The purpose of our study is to establish a survival nomogram based on lymph node ratio (LNR) in hypopharyngeal carcinoma.

STUDY DESIGN

Retrospective cohort study.

SETTING

Hypopharyngeal squamous cell carcinoma (HPSCC) is prone to regional metastasis. Emerging evidence has shown that LNR is a promising prognostic factor in HPSCC.

METHODS

From January 2004 to January 2018, 411 HPSCC patients who underwent neck dissection at our institution were retrospectively studied. The enrolled patients were divided into training and validation cohorts at a ratio of 7:3. A survival nomogram was finally built based on factors screened from multivariate analysis using the bidirectional stepwise method.

RESULTS

LNR was superior to other nodal classifications for survival prediction and was used to establish the R classification. A nomogram was developed using R classification (p < .001), pT classification (p < .001), tumor invasive depth (p < .001), and internal jugular vein adhesion (p = .001). The C-indexes were 0.712 and 0.703 in the training and validation dataset. The 36- and 60-month AUCs were 0.767 and 0.766 in the training dataset and 0.713 and 0.757 in the validation dataset, respectively. The calibration curves showed relatively good agreement between the predicted and actual probability.

CONCLUSION

Based on the LNR, we developed a survival nomogram for HPSCC after neck dissection, which will be a practical tool to discriminate patients with different survival risks.

Correlation between radiologic depth of invasion and pathologic depth of invasion in oral cavity squamous cell carcinoma: A systematic review and meta-analysis

OBJECTIVES

To comprehensively assess the correlation between radiologic depth of invasion (rDOI) and pathologic depth of invasion (pDOI) in oral cavity squamous cell carcinoma (OSCC) by meta-analysis.

MATERIALS AND METHODS

PubMed and Embase databases were searched to find pertinent articles reporting rDOI of OSCC. Studies evaluating the correlations and mean differences (MDs) between rDOI and pDOI were included. The rDOI was measured based on ultrasound (US), computed tomography (CT), or magnetic resonance imaging (MRI). The correlation coefficients and MDs between rDOI and pDOI were meta-analytically pooled. Between-study heterogeneity was assessed using Higgins' inconsistency index (I²). Subgroup analysis was performed based on imaging modality.

RESULTS

Twenty-three studies with 1787 patients were included. The pooled correlation coefficient and MD were 0.86 (95 % confidence interval [CI], 0.82-0.90; I² = 66.9 %) and 1.84 mm (95 % CI, 1.02-2.65 mm; I² = 88.2 %), respectively. In subgroup analysis, MRI showed the largest MD (n = 12, 2.61 mm), followed by US (n = 2, -0.41 mm) and CT (n = 2, 0.12 mm). US showed the highest correlation coefficient (n = 3, 0.91), followed by MRI (n = 12, 0.85) and CT (n = 3, 0.82).

CONCLUSION

rDOI measured by US, CT, and MRI demonstrated excellent correlations with pDOI.

Comparison of Different Staging Systems Applied to a Cohort of Patients With Oral Tongue and Floor of the Mouth Cancer

Purpose: The present work compares the effects produced by the application of the 7th edition of the tumor node metastasis (TNM) staging system (TNM7), 8th Edition (TNM8) with its two subsequent revisions, and pN-N+ classification on a cohort of patients with oral tongue and floor of the mouth cancer. Methods: A monocentric cohort of 148 patients was retrospectively analyzed. Patients were staged according to the TNM7, TNM8 and revisions, and pN-N+ classification. Stage migration was assessed and overall survival (OS) analyzed with the Kaplan-Meier method. The pT, pN, and stage stratification was evaluated with univariate and multivariate Cox regression and comparing adjacent categories with the log-rank method. Results: pT3-T4a categories showed significant differences in comparison to pT1-T2 for each staging metric employed in both uni- and multivariate analysis. When comparing adjacent pT categories, OS was significantly different only between pT2 and pT3 categories of the TNM8. Disproportionate patient distribution among pN categories was observed in the TNM8, and stratification was scarce. Conversely, in the pN-N+ classification the difference between pN2 and pN3a categories was significant. Only stage IVa reached statistical significance in TNM7, whereas stage III and above were significant in TNM8 and revisions in both uni- and multivariate analysis. However, no significant difference was noted comparing adjacent stages. Conclusion: The TNM8 pT classification differentiated low- from high-risk diseases. Nonetheless, it failed to separate pT1 from pT2 and pT3 from pT4a categories. Conversely, although TNM8 nodal staging was inaccurate, the number of metastatic lymph nodes was more valuable.

Nomograms predicting the overall and cancer-specific survival of patients with buccal mucosa cancer

OBJECTIVES

To construct predictive models for predicting overall survival (OS) and cancer-specific survival (CSS) of patients with buccal mucosa cancer (BMC).

STUDY DESIGN

Data of 936 patients with BMC were extracted from the Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2015. Nomograms were constructed based on multivariate Cox regression analyses, and validated using calibration plots, time-dependent receiver operating characteristic curves, and decision curve analyses.

RESULTS

Age at diagnosis, marital status, grade, histopathology, SEER stage, tumor size, and surgery were associated with OS, whereas age at diagnosis, grade, histopathology, SEER stage, tumor size, and surgery were associated with CSS (all P < .05). The concordance indexes for OS and CSS were 0.79 and 0.80 in the training cohort, respectively, and those in the validation cohort were 0.78 and 0.80. Time-dependent receiver operating characteristic curves showed great predictability in nomograms. Decision curve analyses demonstrated good clinical value for OS (4%-88%) and CSS (3%-77%) nomograms. Patients were stratified into 3 risk groups, with the worst prognosis in the high-risk subgroup (P < .001).

CONCLUSIONS

We developed and validated 2 nomograms predicting OS and CSS and established the corresponding risk classification systems in patients with BMC. These models assisted in precise administration of individual therapeutic regimens.

Integrating depth of invasion in T classification improves the prognostic performance of the American Joint Committee on Cancer primary tumor staging system for cutaneous squamous cell carcinoma of the head and neck

BACKGROUND

The last revision of the American Joint Committee on Cancer (AJCC) Cancer Staging Manual included a specific system for cutaneous squamous cell carcinoma (CSCC) of the head and neck. Here, we assessed the prognostic performance of six candidate modified T-classification models in head and neck CSCC patients.

METHODS

Analysis of 916 patients with head and neck CSCC given treatment with curative intent at The University of Texas MD Anderson Cancer Center between 1995 and 2019 was performed. The main outcome was disease-specific survival (DSS), and the impact of depth of invasion (DOI) was analyzed using multivariable regression models. Candidate models were developed using the optimal DOI cut points for each AJCC T classification based on goodness of fit of the model and the simplicity of the model. Staging systems were compared using Harrell's concordance index.

RESULTS

Median age was 70 years (range, 19-97years) and median follow-up time of 22 months (range, 1-250months). The median DOI was 6.0 mm (range, 0.1-70.0 mm). The five-year DSS rate was 80.7% (95%CI, 77.4-83.7%). We found significant association between DOI (hazard ratio, 1.21 [95%CI: 1.01-1.43]) and DSS on multivariable analysis. Based on a low Akaike information criterion score, improvement in the concordance index, and Kaplan-Meier curves, model 6 surpassed the AJCC staging system.

CONCLUSIONS

Incorporation of DOI in the current AJCC staging system improves discrimination of T classifications in head and neck CSCC patients.

LAY SUMMARY

The current staging system for head and neck cutaneous squamous cell carcinoma demonstrates wide prognostic variability and provides suboptimal risk stratification. Incorporation of depth of invasion in the T-classification system improves risk prediction and patient counseling.

PRECIS

We propose improved head and neck cutaneous squamous cell carcinoma T staging that will include depth of invasion and should be considered in future versions of the American Joint Committee on Cancer after external validation.

Clinicopathologic predictors of survival in buccal squamous cell carcinoma

BACKGROUND

Buccal squamous cell carcinoma (SCC) is a locoregionally aggressive malignancy, representing a small subset of oral cancers in North America. We investigated the prognostic value of several clinicopathologic factors in a cohort of patients diagnosed with buccal SCC.

METHODS

Between years 1992 and 2017, 52 patients were diagnosed with conventional buccal SCC. Archival surgical pathology material was retrospectively reviewed for reportable findings according to the latest reporting guidelines published by the College of American Pathologists. Clinical data were obtained through chart review.

RESULTS

The majority of patients were of older age, current or past smokers, and without specific gender predilection. Most presented at a clinically advanced stage and were treated with surgery alone, or surgery followed by adjuvant radiotherapy. The tumor recurred in about 40% of patients, and almost half of the patients died from the disease by the end of the follow-up period. The worst pattern of invasion (WPOI) was associated with greater depth of invasion (DOI) (P = .031) and perineural invasion (P < .001). In univariate analyses, older age (P = .004), positive nodal status (P = .047), lymphovascular invasion (P = .012), perineural invasion (P = .05), and WPOI-5 (P = .015) were adverse predictors of 5-year overall survival (OS). In multivariate analysis, older age (P = .011), WPOI-5 (P < .001), and perineural invasion (P = .001) remained statistically significant independent prognosticators of worse 5-year OS.

CONCLUSIONS

Older age, WPOI-5, and perineural invasion are significant prognosticators of worse OS. WPOI is associated with DOI, a finding which may have important implications for the pathogenesis and biologic behavior of the disease.