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Erschienen in: BMC Oral Health 1/2024

Open Access 01.12.2024 | Research

Do patients with cN0 oral squamous cell carcinoma benefit from elective neck dissection? A large-scale population-based study

verfasst von: Qiuyu Wu, Yuanhang Xia, Ling Qiu, Shuqiong Wen, Qunxing Li, Xiang Gao, Wenrong Jiang, Tao Wang, Ping Ji, Zhanpeng Ou

Erschienen in: BMC Oral Health | Ausgabe 1/2024

Abstract

Background

The neck management of clinical-nodal negative (cN0) oral squamous cell carcinoma (OSCC) remains controversial. Elective neck dissection (END) and observation are the main strategies, but it is still not clear who could benefit the most from END. The purpose of this study was to clarify the potential clinical factors that affect the therapeutic value of END and to explore the actual characteristics associated with benefit from END.

Methods

Patients with cN0 OSCC were identified in the SEER database from 2000 to 2019. 5-year Overall survival (OS) and disease-specific survival (DSS) were analyzed using the Kaplan‒Meier method, and the hazard ratios (HRs) for survival were estimated using the Cox regression model. Multiple subgroup analyses of DSS and OS among different factors, comparing END and No END, were performed.

Results

A total of 17,019 patients with cN0 OSCC were included. The basic survival analysis and Cox regression model showed that END increased the probability of 5-year DSS and OS and was an independent prognostic factor. However, among patients who underwent only primary tumor surgery, no significant differences were found between the END and No END groups in 5-year DSS (P = 0. 585) and OS (P = 0.465). Further subgroup analysis showed that primary sites and T stage, but not other factors, might influence the benefit of END. Significant differences were found for T1 (P < 0.001 for OS) and T2 (P = 0.001 for DSS and < 0.001 for OS) tongue squamous cell carcinoma (TSCC) but not for other primary tumor sites.

Conclusion

This large-scale retrospective population-based cohort study suggests that not all patients with cN0 OSCC could benefit from END. Patients with cN0 TSCC are recommended to undergo END, especially with early-stage tumors.
Begleitmaterial
Additional file 1: Supplementary Figure 1. DSS curves of patients with cN0 OSCC according to (A) sex, (B) age group, (C) race, (D) marital status, (E) T, (F) M, (G) primary sites, (H) surgery, (I) radiation, (J) chemotherapy. Supplementary Figure 2. OS curves of patients with cN0 OSCC according to (A) sex, (B) age group, (C) race, (D) marital status, (E) T, (F) M, (G) primary sites, (H) surgery, (I) radiation, (J) chemotherapy. Supplementary Figure 3. Forest plots summarizing HR for (A) DSS and (B) OS. Supplementary Figure 4. DSS curves of patients with cN0 OSCC according to (A) age, (B) race, (C) primary sites, (D) T, (D) M, (E) Radiation, (F) Chemotherapy with END subgroups analysis. Supplementary Figure 5. OS curves of patients with cN0 OSCC according to (A) age, (B) race, (C) primary sites, (D) T, (D) M, (E) Radiation, (F) Chemotherapy with END subgroups analysis. Supplementary Figure 6. Subgroup analysis of END and surgery of patients with cN0 OSCC. Supplementary Figure 7. DSS and OS curves of patients with cN0 OSCC according to different treatment categories. Supplementary Figure 8. DSS of cN0 OSCC patients only performed primary sites surgery without radiation and chemotherapy according to (A) primary sites, (B) age, (C) race, (D) marital status and (E) M with END subgroups analysis. Supplementary Figure 9. OS of cN0 OSCC patients only performed primary sites surgery without radiation and chemotherapy according to (A) primary sites, (B) age, (C) race, (D) marital status and (E) M with END subgroups analysis.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12903-023-03632-5.
Qiuyu Wu, Yuanhang Xia and Ling Qiu contributed equally to this study.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
AI
American Indian/Alaska Native
API
Asian or Pacific Islander
B
Black
CI
Confidence interval
cN0
Clinical-nodal negative
DSS
Disease-specific survival
END
Elective neck dissection
HRs
Hazard ratios
MX
Unknown M stage
OS
Overall survival
OSCC
Oral squamous cell carcinoma
RCTs
Randomized controlled trials
SEER
The Surveillance, Epidemiology, and End Results
SLND
Sentinel lymph node dissection
TSCC
Tongue squamous cell carcinoma
W
White

Introduction

According to the GLOBOCAN 2020 database, there were 377,713 new cases (2.0% of the total) of lip and oral cavity cancer and 177,757 new deaths (1.8% of the total) from this condition in 2020, the majority of which were oral squamous cell carcinoma (OSCC) [1]. Surgical excision of the primary tumor is the major treatment for patients with OSCC according to the NCCN Clinical Practice Guidelines in Oncology for Head and Neck Cancers, combined with radiation therapy, chemotherapy and the newly introduced immunotherapy [2].
One of the defining features of OSCC is lymph node metastasis, which can be occult and dramatically affect the survival and prognosis of patients [3]. Although imaging technologies have evolved in decades, it is still impossible to detect all occult metastases in the cervical lymph nodes [4]. The best approach to neck management has not reached a consensus, especially for clinical-nodal negative (cN0) OSCC patients [5].
Elective neck dissection (END) and observation are the two main strategies for neck management, which are chosen mostly based on the judgments of surgeons [5]. Whether to perform END or just wait and observe has been debated for a long time but still remains controversial [6]. Many researchers found that END could significantly prolong the survival time and decrease regional recurrences in patients with tongue, floor of mouth, buccal mucosa or other sites of squamous cell carcinoma, advocating that END should be the upfront treatment to remove any occult metastasis [7, 8]. In contrast, other studies showed that the performance of END was not associated with improved rates of overall or disease-specific survival, especially in cT1-2 OSCC, and it was associated with higher rates of complications, including shoulder dysfunction, pain, and contour changes [911]. The conflict between these two decisions may be due to the lack of sufficient samples and multidimensional analysis of different kinds of patients with OSCC.
The Surveillance, Epidemiology, and End Results (SEER) database provides an appropriate opportunity to survey the necessity and benefit of END in patients with cN0 OSCC because of its large sample size and relatively comprehensive clinical records [12]. Based on the large-scale population of these patients, we thoroughly investigated the potential factors that modulate the benefit of END on patient survival and identified the optimal candidates who could gain maximum benefit from END with multiple subgroup analyses. To our knowledge, this retrospective study was conducted with the most updated data from the SEER database and the largest possible sample size. We sought to provide objective evidence for the management of the cN0 neck in patients with OSCC.

Methods

Data Sources

In this retrospective large-scale population-based study, the detailed information of patients from SEER database 17 registries (Nov 2021 Submission, 2000–2019) was downloaded using SEER*Stat 8.4.0 software with permission from NCI (reference number 12910-Nov2021). Patients who met the following criteria were extracted: (1) Histologic type ICD-O-3: 8050–8076, 8078, 8083, 8084, 8094; (2) primary sites: C02.0, C02.1, C02.2, C02.3, C02.8, C02.9, C03.0, C03.1, C03.9, C04.0, C04.9, C05.0, C06.0, C06.1, C06.2; (3) clinically node-negative (N0) neck. Exclusion criteria included (1) incomplete survival record; (2) incomplete END record; and (3) incomplete AJCC cancer staging record.
The variables investigated in this study included the age at diagnosis, year of diagnosis, sex, race recode, marital status at diagnosis, primary tumor site, derived AJCC T and M stages, SEER*Stat RX Summary-Surgery Primary Site, RX Summary-Scope Reg LN Sur, radiation recode, chemotherapy recode, survival months, vital status recode, cause of death to site recode and SEER cause-specific death classification. The primary study outcomes were overall survival (OS) and disease-specific survival (DSS), and the hazard ratios (HRs) was also calculated.This cohort study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

Statistical analysis

Clinical and demographic features were compared across subgroups using the chi-square or Fisher exact test. Overall survival (OS) time was calculated from diagnosis to death from any cause and was censored if the patient was alive at the last follow-up or up to 60 months. Disease-specific survival (DSS) time was calculated from diagnosis to death from “SEER cause-specific death classification”. Patients were censored if they died from other causes or were alive at the last follow-up or up to 60 months. Survival curves of OS and DSS were analyzed using the Kaplan‒Meier method, and survival differences between subgroups were compared using the log-rank test. Then, all significant factors were included in a multivariate analysis based on a multivariate Cox proportional hazards regression model that was used to estimate the HRs for survival. Statistical calculations were performed using IBM SPSS Statistics software (version 25.0, IBM Corp. US), and visualization was performed using the “survminer” and “forestmodel” packages in R (version 4.1.0). All statistical tests were 2-sided and considered significant at P < 0.05.
Since this study did not involve interactions with human subjects or the use of any personal identifying information, institutional review board approval for the use of this deidentified dataset was not needed.

Results

Baseline characteristics and survival analysis

A total of 17,019 patients with cN0 OSCC who met the inclusion criteria were identified. The median age at diagnosis was 67 years (range 6–85 +), and the mean follow-up time was 47.37 months. The majority of these patients were male (9448, 55.5%), white (14,540, 85.4%) and married (9059, 53.2%). END was performed in 4078 patients (24.0%), while the other 12,941 (76.0%) patients did not undergo END.
Significant differences in OS and DSS were found for END (Fig. 1), age, race, marital status, primary sites, T stage, M stage, surgery, radiation and chemotherapy (P < 0.001) but not for sex (P = 0.049 in DSS but = 0.74 in OS, Supplementary Figs. 12). The Cox regression model showed that age, race, marital status, primary sites, T stage, M stage, surgery, radiation, chemotherapy, and most importantly, END, were independent prognostic indicators (Supplementary Fig. 3). The END group was associated with prolonged DSS (HR, 0.72; 95% confidence interval [CI], 0.64–0.80; P < 0.001) and OS (HR, 0.77; 95% CI, 0.71–0.84; P < 0.001) compared with the No END group. As shown in Table 1, except for sex, the dead/alive ratio for age, race, marital status, primary sites, T stage, M stage, surgery, radiation, and chemotherapy were significantly different between the END group and the No END group, both for OS and DSS. These results were consistent with previous studies [13].
Table 1
Baseline characteristics of patients with cN0 OSCC
 
Disease-Specific Survival
Overall Survival
 
END
No END
END
No END
parameters
Alive
Dead
Total
P-value
Alive
Dead
Total
P-value
Alive
Dead
Total
P-value
Alive
Dead
Total
P-value
Sex
       
0.669c
       
0.669
    
0.930a
   
0.096
   
0.123
   
0.488
 Female
1524
190
1714(42b)
 
4454
1403
5857(45.3)
 
1434
280
1714(42)
 
3685
2172
5857(45.3)
 
 Male
2104
260
2364(58)
 
5475
1609
7084(54.7)
 
1934
430
2364(58)
 
4415
2669
7084(54.7)
 
Age (y)
       
0.279
       
0.279
    
 < 0.001
   
< 0.001
   
< 0.001
   
< 0.001
  ≤ 50
522
47
569(14)
 
1061
166
1227(9.5)
 
510
59
569(14)
 
1004
223
1227(9.5)
 
 50–59
846
92
938(23)
 
1997
409
2406(18.6)
 
797
141
938(23)
 
1827
579
2406(18.6)
 
 60–69
1109
122
1231(30.2)
 
2711
618
3329(25.7)
 
1036
195
1231(30.2)
 
2361
968
3329(25.7)
 
 70–79
798
91
889(21.8)
 
2359
746
3105(24)
 
737
152
889(21.8)
 
1862
1243
3105(24)
 
  ≥ 80
353
98
451(11.1)
 
1801
1073
2874(22.2)
 
288
163
451(11.1)
 
1046
1828
2874(22.2)
 
Race
       
0.918
       
0.918
    
0.015
   
< 0.001
   
< 0.001
   
< 0.001
 White
2959
390
3349(82.1)
 
8616
2575
11,191(86.5)
 
2734
615
3349(82.1)
 
6988
4203
11,191(86.5)
 
 Black
161
22
183(4.5)
 
379
200
579(4.5)
 
152
31
183(4.5)
 
281
298
579(4.5)
 
 AI
23
2
25(0.6)
 
48
15
63(0.5)
 
18
7
25(0.6)
 
38
25
63(0.5)
 
 API
455
36
491(12)
 
786
219
1005(7.8)
 
434
57
491(12)
 
696
309
1005(7.8)
 
 Other
30
0
30(0.7)
 
100
3
103(0.8)
 
30
0
30(0.7)
 
97
6
103(0.8)
 
Marital status
       
0.807
       
0.807
    
0.025
   
< 0.001
   
< 0.001
   
< 0.001
 Single
628
73
701(14.5)
 
1376
453
1829(17.1)
 
576
125
701(17.2)
 
1135
694
1829(14.1)
 
 Married
2019
228
2247(53.1)
 
5483
1329
6812(55.3)
 
1908
339
2247(55.1)
 
4680
2132
6812(52.6)
 
 Other
981
149
1130(32.4)
 
3070
1230
4300(27.6)
 
884
246
1130(27.7)
 
2285
2015
4300(33.2)
 
T
       
0.003
       
0.003
    
 < 0.001
   
< 0.001
   
< 0.001
   
< 0.001
 T1
1416
118
1534(37.6)
 
7128
1157
8285(64)
 
1333
201
1534(37.6)
 
6112
2173
8285(64)
 
 T2
1172
131
1303(32)
 
1885
886
2771(21.4)
 
1093
210
1303(32)
 
1399
1372
2771(21.4)
 
 T3
332
53
385(9.4)
 
319
290
609(4.7)
 
303
82
385(9.4)
 
197
412
609(4.7)
 
 T4
708
148
856(21)
 
597
679
1276(9.9)
 
639
217
856(21)
 
392
884
1276(9.9)
 
M
       
0.605
       
0.605
    
0.003
   
< 0.001
   
< 0.001
   
< 0.001
 M0
3619
445
4064(99.7)
 
9879
2929
12,808(99)
 
3362
702
4064
 
8076
4732
12,808
 
 M1
7
5
12(0.3)
 
30
75
105(0.8)
 
5
7
12
 
12
93
105
 
 MX
2
0
2(0)
 
20
8
28(0.2)
 
1
1
2
 
12
16
28
 
Primary sites
       
0.910
       
0.910
    
0.007
   
< 0.001
   
< 0.001
   
< 0.001
 Tongue
2088
216
2304(56.5)
 
5768
1465
7233(55.9)
 
1977
327
2304(56.5)
 
4905
2328
7233(55.9)
 
 Buccal mucosa
309
45
354(8.7)
 
834
322
1156(8.9)
 
283
71
354(8.7)
 
661
495
1156(8.9)
 
 Floor of mouth
501
71
572(14)
 
1407
422
1829(14.1)
 
442
130
572(14)
 
1046
783
1829(14.1)
 
 Gum
572
94
666(16.3)
 
1405
481
1886(14.6)
 
524
142
666(16.3)
 
1090
796
1886(14.6)
 
 Hard palate
66
9
75(1.8)
 
373
225
598(4.6)
 
57
18
75(1.8)
 
292
306
598(4.6)
 
 Others
92
15
107(2.6)
 
142
97
239(1.8)
 
85
22
107(2.6)
 
106
133
239(1.8)
 
Surgery
       
< 0.001
       
< 0.001
    
0.055
   
< 0.001
   
0.007
   
< 0.001
 No
7
3
10(0.2)
 
982
1157
2139(16.5)
 
5
5
10(0.2)
 
534
1605
2139(16.5)
 
 Yes
3621
447
4068(99.8)
 
8947
1855
10,802(83.5)
 
3363
705
4068(99.8)
 
7566
3236
10,802(83.5)
 
Radiation
       
0.027
       
0.027
    
0.014
   
< 0.001
   
0.396
   
< 0.001
 No
2373
268
2641(64.8)
 
8376
1873
10,249(79.2)
 
2191
450
2641(64.8)
 
6979
3270
10,249(79.2)
 
 Yes
1255
182
1437(35.2)
 
1553
1139
2692(20.8)
 
1177
260
1437(35.2)
 
1121
1571
2692(20.8)
 
Chemotherapy
       
1.000
       
1.000
    
 < 0.001
   
< 0.001
   
< 0.001
   
< 0.001
 No
3382
386
3768(92.4)
 
9394
2495
11,889(91.9)
 
3144
624
3768(92.4)
 
7730
4159
11,889(91.9)
 
 Yes
246
64
310(7.6)
 
535
517
1052(8.1)
 
224
86
310(7.6)
 
370
682
1052(8.1)
 
AI American Indian/Alaska Native, API Asian or Pacific Islander, B Black, END Elective neck dissection, TSCC Tongue squamous cell carcinoma, W White
aChi-square test comparing survival rates between variables within each parameter
bproportion (%) of each variable within each parameter
cChi-square test comparing the proportion of each parameter between END and no END

Subgroup survival analysis

From the results above, it seems that END could increase the 5-year survival rates in cN0 OSCC patients, but it is still not clear which kind of patients could benefit most from END or who could not benefit from END. To further identify the actual candidates, we performed a subgroup analysis of all of the independent prognostic factors. Indeed, END significantly increased the probability of 5-year DSS and OS in most subgroups of age, race, marital status, primary sites, T stage, M stage, surgery, radiation and chemotherapy (P < 0.001 for both DSS and OS), except for age < 50 (P = 0.214 for DSS and P = 0.074 for OS), age 50–80 (P = 0.086 for DSS and P = 0.505 for OS), American Indian/Alaska Native (AI, P = 0.320 for DSS and P = 0.979 for OS) and unknown race (P = 0.382 for DSS and P = 0.250 for OS) and unknown M stage (MX, P = 0.442 for DSS and P = 0.883 for OS, Fig. 2, Supplementary Figs. 45).
To our surprise, the results of the surgery and END subgroup analyses showed that there was no difference in DSS and OS among the patients who underwent surgery, regardless of whether they received END (Supplementary Fig. 6). In contrast, patients had better survival if they underwent surgery in both the END and No END groups (Supplementary Fig. 6). In addition, the constituent ratios between the END and No END groups displayed significant differences only for T stage and surgery. A total of 99.8% of patients in the END group underwent surgery, while only 83.5% of patients did in the No END group (P < 0.001) (Table 1). These results indicated that the benefit brought by END might mostly come from undergoing surgery and further confirmed that not all patients with cN0 OSCC could benefit from END.

Further exploration of potential subgroups that benefited from END

To identify the patients who received the most benefit from END, we first performed subgroup analysis of different treatment strategies. As shown in Supplementary Fig. 7, there was a dramatic difference among these strategies, with surgery only being the optimal one for both DSS and OS. Among these subgroups, END outweighed No END only in the Surgery+Radiation+Chemotherapy group (P < 0.001 for both DSS and OS) and Surgery+Radiation+Chemotherapy+ group (P = 0.005 for DSS and P = 0.026 for OS). Interestingly, in the only surgery group, END still showed little difference from No END both in DSS (P = 0.585) and OS (P = 0.465), which further proved our assumption (Fig. 2).
Since radiation and chemotherapy could greatly interfere with the survival analysis of END, we excluded these patients and focused on the patients who merely underwent primary site surgery. A total of 11,836 patients were identified, 45.4% of whom were female and 54.6% of whom were male. Their median age was 66 years (range 6–85 +), and the majority were also white (10,257, 86.7%) and married (6533, 55.2%). There were a total of 9229 (78.0%) patients in the END group and 2607 (22.0%) in the No END group. We estimated the potential factors using a Cox regression model in these separate groups of patients. As displayed in Fig. 3, variables including age, sex, race, marital status, primary site, T stage, M stage and END were independent prognostic factors.
We then performed subgroup analysis of DSS and OS for these factors and surprisingly found that for most indicators, the difference in DSS and OS between the END group and the No END group was no longer significant, including sex, age, race, marital status and M stage (Supplementary Figs. 89). However, for primary site and T stage, END showed better results for tongue (P = 0.009 for OS), T1 (P = 0.003 for OS) and T2 (P < 0.001 for both DSS and OS, Fig. 4). Therefore, we focused on these two independent indicators and conducted cross-subgroup survival analysis in multiple subgroups, as shown in Fig. 5. The results showed that in tongue squamous cell carcinoma (TSCC), END lead to better prognostic outcomes in T1 (P = 0.001 for OS) and T2 (P < 0.001 for both DSS and OS). In cN0 T3 and T4 TSCC patients, the DSS and OS curves also showed a trend toward a benefit from END, but the differences were not significant, perhaps because of the lack of samples (T3: n = 197, 2.7%; T4: n = 99, 1.3%). There was no significant difference in DSS or OS between the END and No END groups at other primary sites. The detailed characteristics of the TSCC patients are listed in Table 2. All of these results suggested that patients with TSCC may benefit from END, espesially with early-stage tumors.
Table 2
Baseline characteristics of patients with cN0 TSCC only performed primary sites surgery without radiation and chemotherapy
 
Disease-Specific Survival
Overall Survival
 
END
no END
END
no END
parameters
Alive
Dead
Total
P-value
Alive
Dead
Total
P-value
Alive
Dead
Total
P-value
Alive
Dead
Total
P-value
Sex
       
0.670c
       
0.670
    
0.933a
   
0.077
   
0.438
   
0.101
 Female
646
56
702(43.8b)
 
2294
314
2608(46.7)
 
617
85
702(43.8)
 
2016
592
2608(46.7)
 
 Male
829
73
902(56.2)
 
2573
406
2979(53.3)
 
781
121
902(56.2)
 
2247
732
2979(53.3)
 
Age (y)
       
0.583
       
0.583
    
0.005
   
< 0.001
   
< 0.001
   
< 0.001
  ≤ 50
263
12
275(17.1)
 
682
44
726(13)
 
259
16
275(17.1)
 
658
68
726(13)
 
 50–59
373
26
399(24.9)
 
1085
120
1205(21.6)
 
360
39
399(24.9)
 
1033
172
1205(21.6)
 
 60–69
434
42
476(29.7)
 
1386
167
1553(27.8)
 
413
63
476(29.7)
 
1268
285
1553(27.8)
 
 70–79
279
28
307(19.1)
 
1030
168
1198(21.4)
 
265
42
307(19.1)
 
864
334
1198(21.4)
 
  ≥ 80
126
21
147(9.2)
 
684
221
905(16.2)
 
101
46
147(9.2)
 
440
465
905(16.2)
 
Race
       
0.954
       
0.954
    
0.046
   
0.016
   
0.044
   
< 0.001
 White
1238
115
1353(84.4)
 
4223
637
4860(87)
 
1165
188
1353(84.4)
 
3673
1187
4860(87)
 
 Black
36
3
39(2.4)
 
125
26
151(2.7)
 
36
3
39(2.4)
 
102
49
151(2.7)
 
 AI
6
0
6(0.4)
 
19
3
22(0.4)
 
5
1
6(0.4)
 
16
6
22(0.4)
 
 API
179
11
190(11.8)
 
435
53
488(8.7)
 
176
14
190(11.8)
 
408
80
488(8.7)
 
 Other
16
0
16(1)
 
65
1
66(1.2)
 
16
0
16(1)
 
64
2
66(1.2)
 
Marital status
       
0.677
       
0.677
    
0.775
   
< 0.001
   
0.944
   
< 0.001
 Single
253
21
274(17.1)
 
692
96
788(14.1)
 
240
34
274(17.1)
 
618
170
788(14.1)
 
 Married
845
78
923(57.5)
 
2810
336
3146(56.3)
 
805
118
923(57.5)
 
2533
613
3146(56.3)
 
 Other
377
30
407(25.4)
 
1365
288
1653(29.6)
 
353
54
407(25.4)
 
1112
541
1653(29.6)
 
T
       
0.001
       
0.001
    
< 0.001
   
< 0.001
   
< 0.001
   
< 0.001
 T1
845
54
899(56)
 
4150
489
4639(83)
 
813
86
899(56)
 
3694
945
4639(83)
 
 T2
516
52
568(35.4)
 
618
171
789(14.1)
 
487
81
568(35.4)
 
498
291
789(14.1)
 
 T3
80
10
90(5.6)
 
77
30
107(1.9)
 
70
20
90(5.6)
 
56
51
107(1.9)
 
 T4
34
13
47(2.9)
 
22
30
52(0.9)
 
28
19
47(2.9)
 
15
37
52(0.9)
 
M
       
1.000
       
1.000
    
< 0.001
   
0.001
   
< 0.001
   
< 0.001
 M0
1474
127
1601(99.8)
 
4852
713
5565(99.6)
 
1398
203
1601(99.8)
 
4253
1312
5565(99.6)
 
 M1
1
2
3(0.2)
 
6
6
12(0.2)
 
0
3
3(0.2)
 
2
10
12(0.2)
 
 MX
0
0
0(0)
 
9
1
10(0.2)
 
0
0
0(0)
 
8
2
10(0.2)
 
AI American Indian/Alaska Native, API Asian or Pacific Islander, B Black, END Elective neck dissection, TSCC Tongue squamous cell carcinoma, W White
aChi-square test comparing survival rates between variables within each parameter
bproportion (%) of each variable within each parameter
cChi-square test comparing the proportion of each parameter between END and no END

Discussion

Based on the large-population survival analysis of patients with cN0 OSCC acquired from the SEER database, we found that END was an independent prognostic factor. Surprisingly, in the subgroup analysis, END did not affect survival in patients who underwent primary site surgery. After excluding the influence of radiation or chemotherapy on survival, we found that not all patients with cN0 OSCC could definitely benefit from END. Further analysis showed that patients with TSCC, even those with early-stage tumors, could benefit from END, but END did not lead to significantly better survival results for tumors arising from other sites.
In recent decades, researchers around the world have continuously focused on END in OSCC patients, especially those with early-stage tumors. Before 2010, four randomized controlled trials (RCTs) were carried out with small samples (only 67–71), three of which did not find differences in survival between END or observation [1417]. A surgical team from Brazil found that patients treated with elective supraomohyoid neck dissection had a significant benefit in terms of disease-free survival (DFS) only in those whose tumor thickness was > 4 mm and a later stage, leaving the question unanswered [16]. In 2015, D’Cruz AK and his team performed the largest single-center RCT, the Mumbai trial [18], comparing END and therapeutic node dissection (watchful waiting followed by neck dissection for nodal relapse). Their results showed an improved rate of overall survival (80.0% vs. 67.5%, P = 0.01) and disease-free survival with END relative to those in the therapeutic surgery group (69.5% vs. 45.9%, P < 0.001), with similar complication rates (6.6% vs. 3.6%). Nevertheless, these studies could not provide conclusive evidence because of the low quality of the trials [19]. Later, the high-quality SEND study [19] in 2019 with 27 hospitals in the UK and 250 randomized patients indicated that those who underwent END had a lower risk of death or local recurrence, even with small tumors. However, the lack of enough samples from extensive areas still limits the generalization of END in cN0 OSCC patients.
Many researchers have conducted meta-analyses to summarize the effect of END from a larger cohort [20, 21], but the inherent heterogeneity among different studies, especially between RCTs and retrospective studies, makes it difficult to provide convincing conclusions [22]. Three meta-analyses, which included only the RCTs mentioned above, were conducted in 2011 [23], 2015 [24] and 2019 [25]. Their results revealed that END significantly reduced the risk of regional recurrences and the risk of disease-specific death and revealed a longer OS and DFS compared to observation. These studies, however, included low-quality RCTs, leading to their inferior reliability.
The SEER Program of the National Cancer Institute is a relatively comprehensive source of information on cancer incidence and survival in the United States, covering 48% of the U.S. population currently [25]. Several studies have investigated cN0 OSCC patients within this database [26]. Alimujiang et al. performed two SEER-based analyses comparing END and observation in cT1N0 or T2N0 OSCC patients separately [13, 27]. Through survival analysis and the Cox regression model, they showed that END was an independent prognostic indicator, improving both DSS and OS. These results are in accordance with our findings, but in our study, we further explored the potential factors that affect the survival of END-treated patients and the actual characteristics that predict a benefit from END.
To our knowledge, our study is the first to evaluate the effect of END in cN0 OSCC with multidimensional subgroup analysis. However, there are still several shortcomings of this study. An analysis of pathological grade was not included because the records of pathological grade were missing in most cases, and those with this record were censored at 2 years. Another disadvantage lies in the missing data of the actual affected lymph node distribution in different areas of the neck in those who underwent END, making it impossible to elucidate which district should be surgically excised among the different sites [28].

Conclusions

To conclude, primary tumor site and T stage are the essential factors that influence the benefit of END on patient survival, and END is recommended in patients with cN0 TSCC, especially those with early-stage tumors. In the future, the potential immunological or molecular mechanism of END should be clarified, and large-scale multicenter RCTs investigating new surgical methods, such as sentinel lymph node dissection (SLND), are urgently needed [29].

Acknowledgements

The authors wish to give special thanks for the efforts of the SEER tumor registry team. The authors are also grateful to American Journal Experts (https://​www.​aje.​com) for checking the English of the article.

Declarations

Ethics approval was not required for this SEER-based study.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Anhänge

Supplementary Information

Additional file 1: Supplementary Figure 1. DSS curves of patients with cN0 OSCC according to (A) sex, (B) age group, (C) race, (D) marital status, (E) T, (F) M, (G) primary sites, (H) surgery, (I) radiation, (J) chemotherapy. Supplementary Figure 2. OS curves of patients with cN0 OSCC according to (A) sex, (B) age group, (C) race, (D) marital status, (E) T, (F) M, (G) primary sites, (H) surgery, (I) radiation, (J) chemotherapy. Supplementary Figure 3. Forest plots summarizing HR for (A) DSS and (B) OS. Supplementary Figure 4. DSS curves of patients with cN0 OSCC according to (A) age, (B) race, (C) primary sites, (D) T, (D) M, (E) Radiation, (F) Chemotherapy with END subgroups analysis. Supplementary Figure 5. OS curves of patients with cN0 OSCC according to (A) age, (B) race, (C) primary sites, (D) T, (D) M, (E) Radiation, (F) Chemotherapy with END subgroups analysis. Supplementary Figure 6. Subgroup analysis of END and surgery of patients with cN0 OSCC. Supplementary Figure 7. DSS and OS curves of patients with cN0 OSCC according to different treatment categories. Supplementary Figure 8. DSS of cN0 OSCC patients only performed primary sites surgery without radiation and chemotherapy according to (A) primary sites, (B) age, (C) race, (D) marital status and (E) M with END subgroups analysis. Supplementary Figure 9. OS of cN0 OSCC patients only performed primary sites surgery without radiation and chemotherapy according to (A) primary sites, (B) age, (C) race, (D) marital status and (E) M with END subgroups analysis.
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Metadaten
Titel
Do patients with cN0 oral squamous cell carcinoma benefit from elective neck dissection? A large-scale population-based study
verfasst von
Qiuyu Wu
Yuanhang Xia
Ling Qiu
Shuqiong Wen
Qunxing Li
Xiang Gao
Wenrong Jiang
Tao Wang
Ping Ji
Zhanpeng Ou
Publikationsdatum
01.12.2024
Verlag
BioMed Central
Erschienen in
BMC Oral Health / Ausgabe 1/2024
Elektronische ISSN: 1472-6831
DOI
https://doi.org/10.1186/s12903-023-03632-5

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