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. 2017 Jul 13;143(10):1049–1052. doi: 10.1001/jamaoto.2017.0947

Association of Number of Dissected Lymph Nodes With Survival in Clinically Node-Negative Oral Cavity Squamous Cell Carcinoma Patients Undergoing Primary Surgery

A Population-Based Analysis

Chiaojung Jillian Tsai 1,, Junting Zheng 2, Zhigang Zhang 2, Nadeem Riaz 1, Shrujal S Baxi 3, Richard J Wong 4, Nancy Y Lee 1
PMCID: PMC5824267  PMID: 28715521

Abstract

This population-based study examines the association of of lymph node dissection count with survival in patients with oral cavity squamous cell carcinoma using the National Cancer Database.


The standard treatment for early-stage oral cavity squamous cell carcinoma (OCSCC) is definitive surgery. A randomized clinical trial of ipsilateral elective vs therapeutic node dissection in cT1-2 patients with OCSCC demonstrated superior survival in the elective dissection group. Another recent analysis linked higher lymph node count to improved survival in all patients with head and neck cancer with heterogeneous clinical nodal presentations. However, the need for extensive neck dissection in cN0 patients with OCSCC remains unclear. We therefore evaluated the survival impact of lymph node count in these patients using the National Cancer Database (NCDB).

Methods

The NCDB is a joint project of the Commission on Cancer of the American College of Surgeons and the American Cancer Society. It captures approximately 70% of newly diagnosed malignant diseases in the United States. Institutional review board approval was waived by Memorial Sloan Kettering Cancer Center because all data used were public and deidentified. We queried the NCDB to identify cN0, M0, OCSCC patients diagnosed from 2004 to 2012 using the International Classification of Diseases for Oncology (third edition) codes (C020-023, C030-031, C039, C040-041, C048-050, C060-063, and C068-069). We excluded C028-029 to eliminate possible base of tongue cancers. We selected patients who received definitive surgery, and excluded those who received neoadjuvant therapy, died or were lost to follow-up within 3 months of diagnosis or surgery (immortal time bias), had no information on neck nodes, or no neck dissection. The primary end point of the analysis was overall survival (OS), measured from 3 months after surgery to death or lost to follow-up.

We investigated the distribution of node counts and its association with OS using restricted cubic spline and maximally selected rank statistics. A cut-off of 24 was selected based on maximally selected rank statistics. We used Kaplan-Meier methods to estimate OS and Cox regressions to examine the association between OS and clinical and/or surgical factors. We examined model discriminative ability using bootstrapping bias-adjusted concordance probability (c-index) and calibration against the Kaplan-Meier estimated survival. The c-index ranges between 0 and 1 (1 means the model predictions are perfectly concordant with the observed outcomes). Internal validation was performed using bootstrapping with 200 replications. All analyses were performed using SAS statistical software (version 9.4, SAS Institute Inc) and R statistical software (version 3.1, the R Foundation for Statistical Computing).

Results

Final analysis included 7811 patients, with a median follow-up of 48.3 months (95% CI, 47.5-49.3) and OS of 92.2 months (95% CI, 87.0-96.2). The median node count was 23 (range, 1-90); 5998 (77%) patients were pN0. Compared with patients who had 24 or more nodes, those with less than 24 nodes were more likely to have a younger age, advanced clinical and/or pathologic categories, negative margins, adjuvant therapy, surgery at an academic facility, and private insurance.

Patients with more than 24 nodes had longer OS compared with those who had 24 or fewer nodes in multivariable analyses (HR, 0.82; 95% CI, 0.75-0.88) (Figure) (Table). Increased age, comorbidity index, stage, and Medicare or Medicaid insurers were associated with increased mortality. Adjuvant radiation was associated with better OS. Similar results were obtained by using nodal cutoffs of 16 and 18 described elsewhere, and by analyzing the nodes by quartiles. The multivariable adjusted c-index was 0.66. There was no interaction of lymph node count and other covariates.

Figure. Overall Survival by Number of Resected Lymph Nodes (RLN).

Figure.

Kaplan-Meier estimates of overall survival by number of dissected lymph nodes. A, Overall survival by lymph nodes and pathologic T category. B, Overall survival by pathologic N category.

Table. Overall Survival Analysis by Lymph Node Status and Patient Characteristics.

Variable Univariable Analysis Multivariable Analysis
HR (95%CI) P Value HR (95%CI) P Value
No. of resected nodes, quartilesa
1-14 1 [Reference] <.001 NA NA
15-24 0.94 (0.86-1.04)
25-35 0.80 (0.72-0.89)
36-90 0.88 (0.79-0.98)
No. of resected nodes
≤24 1 [Reference] NA 1 [Reference] <.001
>24 0.86 (0.8-0.93) 0.82 (0.75-0.88)
Age, y
<60 1 [Reference] <.001 1 [Reference] <.001
≥60 1.68 (1.55-1.82) 1.3 (1.19-1.43)
Sex
Male 1 [Reference] .07 1 [Reference] .02
Female 0.93 (0.86-1.01) 0.91 (0.85-0.99)
Race
White 1 [Reference] .05 1 [Reference] .61
Black 1.17 (1-1.37) 1.07 (0.91-1.25)
Other 0.88 (0.73-1.06) 0.95 (0.78-1.15)
Comorbidity
0-1 1 [Reference] <.001 1 [Reference] <.001
2 1.76 (1.53-2.01) 1.57 (1.37-1.81)
Disease site
Oral tongue 1 [Reference] <.001 1 [Reference] .002
Floor of mouth 1.31 (1.19-1.44) 1.01 (0.91-1.12)
Gum 1.31 (1.17-1.46) 0.81 (0.71-0.91)
Palate 1.49 (1.08-2.05) 0.99 (0.88-1.11)
Other 1.44 (1.29-1.59) 0.87 (0.62-1.2)
Payer
Private 1 [Reference] <.001 1 [Reference] <.001
Medicaid or Medicare 1.9 (1.75-2.06) 1.52 (1.38-1.66)
Not insured 1.14 (0.93-1.4) 1.02 (0.83-1.26)
Other 1.54 (1.09-2.19) 1.31 (0.92-1.87)
Pathologic T category
1 1 [Reference] <.001 1 [Reference] <.001
2 1.68 (1.52-1.86) 1.54 (1.39-1.7)
3 2.5 (2.15-2.91) 2.12 (1.81-2.48)
4 2.52 (2.29-2.77) 2.25 (2.01-2.52)
Pathologic N category
0 1 [Reference] <.001 1 [Reference] <.001
1 1.62 (1.45-1.8) 1.62 (1.45-1.8)
2 2.82 (2.56-3.11) 2.68 (2.41-2.99)
3 8.75 (3.28-23.34) 9.57 (3.51-26.05)
Depth of invasion, mm
<40 1 [Reference] 0.21 1 [Reference] .64
≥40 1.02 (0.86-1.22) 0.94 (0.79-1.12)
Unknown 1.1 (0.98-1.24) 0.95 (0.84-1.06)
Academic center
No 1 [Reference] <.001 1 [Reference] .12
Yes 0.92 (0.85-1.01) 0.76 (0.58-0.99)
Unknown 0.44 (0.34-0.57) 0.97 (0.89-1.06)
Adjuvant chemotherapy
None 1 [Reference] <.001 1 [Reference] .11
Yes 1.62 (1.47-1.8) 0.77 (0.6-0.99)
Unknown 0.9 (0.7-1.16) 1.03 (0.91-1.16)
Adjuvant radiation
No or <5000 cGy 1 [Reference] <.001 1 [Reference] <.001
≥5000 cGy 1.31 (1.21-1.41) 0.84 (0.77-0.92)
Margins
Negative 1 [Reference] <.001 1 [Reference] <.001
Positive 1.9 (1.71-2.11) 1.5 (1.35-1.68)
Unknown 1.88 (1.4-2.51) 1.5 (1.12-2.02)
ECE in pN+a
No 1 [Reference] <.001 1 [Reference] NA
Yes 1.59 (1.26-1.99)
Unknown 1.19 (1.01-1.4)

Abbreviations: ECE, extracapsular extension; NA, not applicable.

a

Number of resected nodes in quartiles and ECE (only in pN+) are not included in the multivariable model.

Discussion

In this analysis, higher nodal yield (>24) was associated with lower mortality in cN0 patients with OCSCC receiving definitive surgery. Because OCSCC is treated primarily by curative surgery, it is imperative to analyze this disease as a separate entity and account for tumor depth of invasion, a crucial prognostic factor. Furthermore, since locoregional recurrent OCSCC patients have poor salvage outcomes, it is appropriate to use a more stringent nodal yield than previously described.

Limitations

Potential biases of this study include unmeasured confounders, missing data, selection bias, and reporting errors. Regardless, we were able to analyze a large homogeneous cohort to answer a clinically important question.

Conclusion

Based on this analysis, thorough surgical neck evaluation should be advocated for cN0 patients with OCSCC.

References

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Articles from JAMA Otolaryngology-- Head & Neck Surgery are provided here courtesy of American Medical Association

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