Literature DB >> 31087628

The demographic and treatment options for patients with large cell neuroendocrine carcinoma of the lung.

Jianjun Gu1, Daohui Gong1, Yuxiu Wang2, Beiyuan Chi2, Jun Zhang1, Suwei Hu3,4, Lingfeng Min1.   

Abstract

INTRODUCTION: Lung large cell neuroendocrine carcinoma (L-LCNEC) is a rare, aggressive tumor, for which the optimal treatment strategies for LCNEC have not yet been established. In order to explore how to improve the outcome of prognosis for patients with LCNEC, this study investigated the effect of different treatments based on the data obtained from the Surveillance, Epidemiology, and End Results (SEER) database.
METHODS: A total of 2594 LCNEC cases with conditional information were extracted from SEER database. Propensity Score Matching (PSM) method was conducted to reduce possible bias between groups. One-way ANOVA was used to test the differences of characteristics between groups. Univariate and multivariate Cox proportional hazard models were applied to identify prognostic factors.
RESULTS: Clinicopathologic characteristics including gender, age, TNM stage, T stage, N stage, and M stage were all identified as independent prognostic factors. Surgery benefited stage I, II, and III LCNEC patients' prognoses. The combination treatment that surgery combining with chemotherapy was the optimal treatment for stage I, II, and III LCENC patients. Compared with palliative treatment, stage IV patients obtained better prognoses with the treatment of radiation, chemotherapy, or chemoradiation. When comparing the effect of the three treatments (radiation, chemotherapy, and chemoradiation) in achieving better prognosis for stage IV patients, chemotherapy alone was better than the other treatments.
CONCLUSION: Surgery combining with chemotherapy was the optimal treatment for stage I, II, and III LCNEC patients; chemotherapy alone achieves more benefit than the other treatments for stage IV patients.
© 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Entities:  

Keywords:  chemotherapy; large cell neuroendocrine carcinoma; prognosis; radiation; surgery

Mesh:

Year:  2019        PMID: 31087628      PMCID: PMC6558599          DOI: 10.1002/cam4.2188

Source DB:  PubMed          Journal:  Cancer Med        ISSN: 2045-7634            Impact factor:   4.452


large cell neuroendocrine carcinoma propensity score matching Surveillance, Epidemiology, and End Results

INTRODUCTION

Large cell neuroendocrine carcinoma (LCNEC) of the lung, accounting for 3% of all lung cancer cases, is a rare, aggressive tumor with poor prognosis and high recurrence rate.1 LCNEC closely correlated with smoke status, almost 90% of all the cases have smoke history. LCNEC was classified as a subtype of large cell carcinomas according to the World Health Organization (WHO) classification of lung tumors, while, in the 2015 WHO classification, it was classified as a neuroendocrine neoplasm along with small‐cell lung cancer. Considering LCNEC shares many similarities with SCLC, such as therapeutic targets and gene alterations,2 SCLC‐based chemotherapy was expected to achieve similar effectiveness in patients with LCNEC. Unfortunately, the reported prognoses of LCNEC treated with SCLC‐based chemotherapy are heterogeneous.3, 4 By now, no standard treatment regimen has been developed. LCNEC should be treated in a manner similar to that used for small cell lung cancer or similar to NSCLC is still on debating. Considering the optimum treatment for LCNEC patients remain undefined, to improve prognoses in patients with LCNEC, this study investigated the effect of different treatments for LCNEC based on the data obtained from the SEER database.

MATERIALS AND METHODS

Database and date extraction items

The SEER database is an opening database containing frequency and survival data. SEER*Stat 8.5.0 software was applied for data extraction. The variables including CS Schema v0204+ (lung), ICD‐0‐3 Hist/behav (8013/3), and AJCC 6th were used to extract the cases diagnosed with LCNEC registered in the SEER database. The demographic and clinicopathologic characteristics were selected as follows: race, age, gender, grade, AJCC stage, AJCC T stage, AJCC N stage, AJCC M stage, surgery, radiation, chemotherapy, follow‐up time, and outcome status. Based on the information of cases provided by the SEER database, we defined overall survival (OS) as the time from diagnosis to death from any cause, and patients alive were censored at the time of the last recording. We deleted the cases that do not contain all these data and obtained 2594 cases for further analysis.

Propensity score matching (PSM)

A propensity 1:1 matched analysis was conducted to reduce possible bias to a minimum in this study. Propensity scores were calculated using logistic regression model for each patient in the comparing groups. The covariates included in the regression were race, age, gender, grade, AJCC stage, AJCC T stage, AJCC N stage, AJCC M stage, surgery, radiation, and chemotherapy. Patients in two groups were matched based on the propensity score (0.02). Covariates balance between two groups was examined by χ2 test. The survival comparisons were then performed for the propensity score‐matched patients using the Kaplan‐Meier method.

Statistical analysis

SPSS (24.0) was used for statistical analysis. Overall survival was estimated using the Kaplan‐Meier method and compared by log‐rank test. One‐way ANOVA was used to test the statistical difference of race, age, gender, grade, AJCC stage, AJCC T stage, AJCC N stage, AJCC M stage, surgery, radiation, and chemotherapy between the groups. Univariate and multivariate Cox proportional hazard models, with hazard ratios (HRs) and 95% confidence intervals (CIs) reported, were applied to identify factors that associated with OS. The values of P < 0.05 were considered statistically significant.

RESULTS

Patients’ characteristics

The characteristics of the 2594 LCNEC patients were shown in Table 1. 2171 LCNEC patients were white people, the elderly patients were accounted for 1848, and there were 1465 males and 1129 females. The patients with stage I, II, III, and IV were 569, 135, 525, and 1365, respectively.
Table 1

Patients’ characteristics

VariableValue (2594)
AliveDeadTotal
Race
White46317082171
Black71242313
Others/unknown2486110
Age
<60198548746
≥6036014881848
Gender
Male28411811465
Female2748551129
Grade
I3912
II102131
III252632884
IV76213289
Unknown21711611378
TNM
I279290569
II4689135
III104421525
IV12912361365
T
Tx20203223
T022224
T1192351543
T2234593827
T324113137
T486754840
N
Nx79097
N0344616960
N154184238
N2118800918
N335346381
M
M04298001229
M112912361365
Patients’ characteristics

Identifying adverse prognosis factors for LCNEC patients

LCNEC is an aggressive tumor with grim prognosis; moreover, the diagnostic rate was increasing in recent years (Figure S1A). It is necessary to explore the factors that influenced long‐term survival of patients with LCNEC. Univariate and multivariate Cox regression analyses were performed to determine prognostic factors (Table 2). The results suggested that race, grade, T1, and N1 were not considered as independent adverse prognostic factors for LCNEC patients. However, other characteristics including gender [male vs female, 1 vs 0.847 (0.775‐0.926)], age [<60 vs ≥ 60, 1 vs 1.396 (1.264‐1.542)], TNM stage{[I vs II, 1 vs 1.525 (1.145‐2.032)]; [I vs III, 1 vs 1.762 (1.444‐2.149)]; [I vs IV, 1 vs 3.831 (3.199‐4.590)]}, T stage {[T0 vs T2, 1 vs 1.638 (1.065‐2.518)]; [T0 vs T3, 1 vs 1.985 (1.250‐3.154)]; [T0 vs T4, 1 vs 2.145 (1.400‐3.285)] ; [T0 vs Tx, 1 vs 1.650 (1.060‐2.569)]}, N stage {[N0 vs N2, 1 vs 1.253 (1.096‐1.432)]; [N0 vs N3, 1 vs 1.433 (1.226‐1.674)]; [N0 vs Nx, 1 vs 1.516 (1.188‐1.934)]}, M stage [M0 vs M1, 1 vs 3.831 (3.199‐4.590)] were all identified as independent prognostic factors.
Table 2

Univariate and multivariate analyses for LCNEC patients

CharacteristicUnivariate Cox regressionMultivariate Cox regression
HR (95% CI) P valueHR (95% CI) P value
Race
White1.00 Reference 1.00 Reference 
Black0.930 (0.813‐1.064)0.2900.911 (0.795‐1.044)0.181
Others1.013 (0.816‐1.259)0.9040.832 (0.669‐1.034)0.097
Age
<601.00 Reference 1.00 Reference 
≥601.306 (1.184‐1.440) 0.000 1.396 (1.264‐1.542) 0.000
Gender
Male1.00 Reference 1.00 Reference 
Female0.816 (0.747‐0.891) 0.000 0.847 (0.775‐0.926) 0.000
Grade
I1.00 Reference 1.00 Reference 
II0.760 (0.348‐1.660)0.4921.007 (0.460‐2.205)0.985
III0.901 (0.467‐1.740)0.7571.205 (0.623‐2.332)0.579
IV0.974 (0.500‐1.899)0.9381.283 (0.657‐2.505)0.466
Unknown1.524 (0.791‐2.937)0.2081.450(0.751‐2.800)0.268
TNM
I1.00 Reference 1.00 Reference 
II1.678 (1.323‐2.129) 0.000 1.525 (1.145‐2.032) 0.004
III2.591 (2.228‐3.014) 0.000 1.762 (1.444‐2.149) 0.000
IV5.488 (4.796‐6.279) 0.000 3.831 (3.199‐4.590) 0.000
T
T01.00 Reference 1.00 Reference 
T10.593 (0.385‐0.913) 0.017 1.456 (0.940‐2.256)0.093
T20.831 (0.543‐1.272)0.3951.638 (1.065‐2.518) 0.025
T31.124 (0.712‐1.774)0.6171.985 (1.250‐3.154) 0.004
T41.779 (1.164‐2.720) 0.008 2.145 (1.400‐3.285) 0.000
Tx1.640 (1.056‐2.546) 0.028 1.650 (1.060‐2.569) 0.027
N
N01.00 Reference 1.00 Reference 
N11.621 (1.374‐1.913) 0.000 1.118 (0.919‐1.359)0.264
N22.357 (2.119‐2.623) 0.000 1.253 (1.096‐1.432) 0.001
N33.076 (2.685‐3.523) 0.000 1.433 (1.226‐1.674) 0.000
Nx3.609 (2.884‐4.516) 0.000 1.516 (1.188‐1.934) 0.001
M
M01.00 Reference 1.00 Reference 
M13.373 (3.068‐3.708) 0.000 3.831 (3.199‐4.590) 0.000

Bold indicates the significance value (P < 0.05).

Univariate and multivariate analyses for LCNEC patients Bold indicates the significance value (P < 0.05).

Surgery benefit stage I, II, and III LCNEC patients’ prognosis

When cancer patients are diagnosed at early stage (stage I and II), patients were recommended to perform surgery to obtain better prognosis. To determine whether surgical treatment would benefit the early stage LCNEC patients’ prognoses or not, we firstly divided the stage I and II patients into surgery and non‐surgery group, PSM method was conducted to reduce the differences of variables between groups (Table 3). We found surgery benefit early stage patients’ prognoses (Figure 1A,B). We also found stage III LCNEC patients who undergone surgery had better prognoses than the non‐surgery patients (Figure 1C‐F, Tables S1 and S2). In clinic, the stage IV lung cancer patients are no longer suitable to perform surgery; however, we found that there are still some stage IV LCNEC patients have undergone surgery (Table 4). Because the variable differences such as age (P = 0.000), radiation (P = 0.029), and chemotherapy (P = 0.025) between the groups were exist even PSM method was conducted (Figure S1B,C, Table S3), it is uncertainty that whether surgery would benefit the prognoses or not for stage IV LCNEC patients. The results demonstrated that surgery benefited the stage I, II, and III LCNEC patients; patients at those stages should perform surgery to achieve better prognoses.
Table 3

Characteristics among surgical and non‐surgical early stage LCNEC patients before and after propensity score matching

CharacteristicsBefore PSM analysis P After PSM analysis P
Non‐Surgical (n = 107)Surgical (n = 597)Non‐Surgical (n = 76)Surgical (n = 76)
Race  0.105  0.158
White85503 5949 
Black2071 1621 
Others223 16 
Age   0.001   0.339
≥6091736 6156 
<6016251 1520 
Gender  0.946  0.050
Male55309 3927 
Female52288 3749 
Grade   0.000   0.181
I03 02 
II116 13 
III33327 3018 
IV12102 1115 
Unknown61149 3438 
TNM  0.509  0.851
I84485 5758 
II23112 1918 
T   0.032   0.628
Tx00 00 
T000 00 
T144284 3032 
T251287 3636 
T31226 108 
T400 00 
N  0.255  0.808
Nx00 00 
N096511 6766 
N11186 910 
N200 00 
N300 00 
Radiation   0.000   1.000
Yes6252 3131 
No45545 4545 
Chemotherapy  0.366  0.184
Yes39191 2533 
No68406 5143 

Bold indicates the significance value (P < 0.05).

Figure 1

Surgery benefited stage I, II, and III LCNEC patients’ prognoses. A, Surgery patients achieved better prognoses than non‐surgery patients in stage I and II LCNEC patients (P = 0.000). B, Surgery patients achieved better prognoses than non‐surgery patients in stage I and II LCNEC patients after PSM was conducted (P = 0.000). C, Surgery patients achieved better prognoses than non‐surgery patients in stage III A LCNEC patients (P = 0.005). D, Surgery patients achieved better prognoses than non‐surgery patients in stage III A LCNEC patients after PSM was conducted (P = 0.001). E, Surgery patients achieved better prognoses than non‐surgery patients in stage III B LCNEC patients (P = 0.009). F, Surgery patients achieved better prognoses than non‐surgery patients in stage III B LCNEC patients after PSM was conducted (P = 0.017)

Table 4

Treatment values of LCNEC patients in different stages

TreatmentValue
Stage IStage IIStage IIIStage IV
Palliative treatment25885337
Radiation32333184
Chemotherapy6679346
Chemoradiation216188411
Surgery354374723
Surgery + Radiation132514
Surgery + Chemotherapy107474118
Surgery + Chemoradiation11264732
Characteristics among surgical and non‐surgical early stage LCNEC patients before and after propensity score matching Bold indicates the significance value (P < 0.05). Surgery benefited stage I, II, and III LCNEC patients’ prognoses. A, Surgery patients achieved better prognoses than non‐surgery patients in stage I and II LCNEC patients (P = 0.000). B, Surgery patients achieved better prognoses than non‐surgery patients in stage I and II LCNEC patients after PSM was conducted (P = 0.000). C, Surgery patients achieved better prognoses than non‐surgery patients in stage III A LCNEC patients (P = 0.005). D, Surgery patients achieved better prognoses than non‐surgery patients in stage III A LCNEC patients after PSM was conducted (P = 0.001). E, Surgery patients achieved better prognoses than non‐surgery patients in stage III B LCNEC patients (P = 0.009). F, Surgery patients achieved better prognoses than non‐surgery patients in stage III B LCNEC patients after PSM was conducted (P = 0.017) Treatment values of LCNEC patients in different stages

Combination treatment of surgery and chemotherapy benefit stage I, II, III LCNEC patients more than the other treatments

LCNEC is an aggressive tumor with high rate of recurrence even after complete surgical resection in its early stage; therefore, surgery alone is not sufficient to treat patients with LCNEC. We firstly compared surgery alone with surgery combining with radiation, surgery combining with chemotherapy and surgery combining with chemoradiation, respectively. When surgery alone compared with the combination treatment of surgery and radiation or the combination treatment of surgery and chemotherapy, there were differences of variables between the groups (Tables S4 and S5); it was uncertainty that whether those combination treatments would achieve better benefit than surgery alone or not (Figure S2A‐D). However, we found, compared with surgery alone, the combination treatment of surgery and chemoradiation achieved better prognoses for stage I, II, and III LCNEC patients (Figure 2A,B, Table 5).
Figure 2

The combination treatment of surgery and chemotherapy benefited stage I, II, and III LCNEC patients better than the other treatments. A, Compared with surgery alone, surgery combining with chemoradiation had no benefit for stage I, II, and III LCNEC patients (P = 0.555). B, Surgery combining with chemoradiation achieved better prognosis than surgery alone in stage I, II, and III LCNEC patients after PSM was conducted (P = 0.044). C, Surgery combining with chemotherapy achieved better prognosis than surgery combining with radiation (P = 0.035). D, Compared with surgery combining with chemoradiation, surgery combining with chemotherapy achieved better prognosis for patients (P = 0.025). E, Surgery combining with chemotherapy did not have significant difference when compared with surgery combining with chemoradiation in improving patients’ prognoses after the differences of variables between the groups were reduced (P = 0.499). F, Survival comparisons between treatments showed surgery combining with chemotherapy have advantage in improving patients’ prognoses than the other treatments (P = 0.033)

Table 5

Characteristics among surgery alone (S) and surgery combining with chemoradiation (S + C + R) in stage I, II, and III LCNEC patients before and after propensity score matching

CharacteristicsBefore PSM analysis P After PSM analysis P
S (n = 438)S + C + R (n = 84)S (n = 73)S + C + R (n = 73)
Race  0.380  0.891
White36873 6262 
Black547 67 
Others164 54 
Age   0.001   1.000
≥6033850 4747 
<6010034 2626 
Gender  0.465  0.393
Male22647 4944 
Female21237 2429 
Grade  0.229  0.192
I31 11 
II132 22 
III23651 3340 
IV5913 1213 
Unknown12717 2517 
TNM   0.000   0.411
Stage I35411 1211 
Stage II3726 3321 
Stage III4747 2841 
T   0.000   0.263
Tx00 00 
T020 10 
T123221 3320 
T217235 2028 
T31115 814 
T42113 1111 
N   0.000   0.735
Nx00 00 
N037627 2725 
N13220 2715 
N22836 1932 
N321 01 

Bold indicates the significance value (P < 0.05).

The combination treatment of surgery and chemotherapy benefited stage I, II, and III LCNEC patients better than the other treatments. A, Compared with surgery alone, surgery combining with chemoradiation had no benefit for stage I, II, and III LCNEC patients (P = 0.555). B, Surgery combining with chemoradiation achieved better prognosis than surgery alone in stage I, II, and III LCNEC patients after PSM was conducted (P = 0.044). C, Surgery combining with chemotherapy achieved better prognosis than surgery combining with radiation (P = 0.035). D, Compared with surgery combining with chemoradiation, surgery combining with chemotherapy achieved better prognosis for patients (P = 0.025). E, Surgery combining with chemotherapy did not have significant difference when compared with surgery combining with chemoradiation in improving patients’ prognoses after the differences of variables between the groups were reduced (P = 0.499). F, Survival comparisons between treatments showed surgery combining with chemotherapy have advantage in improving patients’ prognoses than the other treatments (P = 0.033) Characteristics among surgery alone (S) and surgery combining with chemoradiation (S + C + R) in stage I, II, and III LCNEC patients before and after propensity score matching Bold indicates the significance value (P < 0.05). To explore the optimal treatment for stage I, II, and III LCNEC patients, we then compared the prognoses of the three groups (surgery combining with chemotherapy, surgery combining with radiation, and surgery combining with chemoradiation), respectively. We found, compared with the combination treatment of surgery and radiation, surgery combining with chemotherapy showed advantage to improve patients’ prognoses (Figure 2C, Table 6); however, addition of radiation did not achieve better prognosis (Figur2D‐F, Table 7). The results demonstrated that the optimal treatment for stage I, II, and III LCNEC patients was surgery combining with chemotherapy.
Table 6

Characteristics among surgery combining with radiation (S + R) and surgery combining with chemotherapy (S + C) in stage I, II, and III LCNEC patients

CharacteristicsBefore PSM analysis P
S + R (n = 20)S + C (n = 195)
Race  0.716
White16167 
Black220 
Others28 
Age  0.164
≥6015115 
<60580 
Gender  0.061
Male7111 
Female1384 
Grade  0.199
I00 
II04 
III9108 
IV545 
Unknown638 
TNM  0.260
Stage I13107 
Stage II247 
Stage III541 
T  0.833
Tx01 
T000 
T1752 
T27115 
T3513 
T4114 
N  0.338
Nx00 
N015112 
N1445 
N2127 
N301 
Table 7

Characteristics among surgery combining with chemotherapy (S + C) and surgery combining with chemoradiation (S + C + R) in stage I, II, and III LCNEC patients before and after propensity score matching

CharacteristicsBefore PSM analysis p After PSM analysis P
S + C (n = 195)S + C + R (n = 84)S + C (n = 73)S + C + R (n = 73)
Race  0.691  0.633
White16773 6664 
Black207 45 
Others84 34 
Age  0.932  0.407
≥6011550 3944 
<608034 3429 
Gender  0.881  0.511
Male11147 3539 
Female8437 3834 
Grade  0.795  0.488
I01 01 
II42 22 
III10851 4846 
IV4513 1210 
Unknown3817 1114 
TNM   0.000   0.287
Stage I10711 1111 
Stage II4726 3724 
Stage III4147 2538 
T   0.015    0.000
Tx10 00 
T000 00 
T15221 3214 
T211535 2933 
T31315 1114 
T41413 112 
N   0.000   0.065
Nx00 00 
N012227 1825 
N14520 3419 
N22736 2128 
N311 01 

Bold indicates the significance value (P < 0.05).

Characteristics among surgery combining with radiation (S + R) and surgery combining with chemotherapy (S + C) in stage I, II, and III LCNEC patients Characteristics among surgery combining with chemotherapy (S + C) and surgery combining with chemoradiation (S + C + R) in stage I, II, and III LCNEC patients before and after propensity score matching Bold indicates the significance value (P < 0.05). Although surgery benefit stage I, II, and III LCNEC patients’ prognoses, there were still some patients did not perform surgery (Table 4). To achieve better prognosis for non‐surgery stage I, II, and III patients, we compared the effect of palliative treatment, radiation, chemotherapy, and chemoradiation for those patients; the prognoses of the under treated patients were better than the palliative treatment group (Figure S3A‐F, Tables S6‐S8). There was no difference between chemotherapy and radiation in proving patients’ prognoses (Figure 3A,B, Table 8). Combination treatment of radiation and chemotherapy achieved better prognosis than chemotherapy alone (Figure 3C,D, Table 9). Interestingly, when compared the combination treatment of radiation and chemotherapy with radiation alone, the combination treatment did not show advantage to achieve better prognoses for patients (Figure S4A,B, Table S9).
Figure 3

The effect of treatments in non‐surgical stage I, II, and III LCNEC patients. A, Radiation achieved better benefit than chemotherapy for the non‐surgical stage I, II, and III LCNEC patients (P = 0.023). B, After the differences of variables between the groups were reduced, compared with chemotherapy, radiation did not showed advantage in proving patients’ prognoses (P = 0.839). C, Chemoradiation achieved better prognosis than chemotherapy alone (P = 0.000). D, Chemoradiation showed advantage than chemotherapy in improving patients’ prognoses after PSM method was conducted (P = 0.003)

Table 8

Characteristics among chemotherapy (C) and radiation (R) in stage I, II, and III LCNEC patients before and after propensity score matching

CharacteristicsBefore PSM analysis P After PSM analysis P
R (n = 68)C (n = 91)R (n = 41)C (n = 41)
Race  0.751  0.883
White5470 3333 
Black1116 67 
Others35 21 
Age  0.224  0.538
≥605566 3234 
<601325 97 
Gender  0.280  0.513
Male3656 2320 
Female3235 1821 
Grade  0.277  0.243
I10 10 
II11 00 
III2132 1316 
IV615 47 
Unknown3943 2318 
TNM   0.000   0.888
Stage I326 66 
Stage II36 32 
Stage III3379 3233 
T   0.000   0.610
Tx67 61 
T010 10 
T1216 73 
T22123 814 
T338 32 
T41647 1621 
N   0.000   0.737
Nx12 12 
N03617 1010 
N124 23 
N22143 2015 
N3825 811 

Bold indicates the significance value (P < 0.05).

Table 9

Characteristics among chemotherapy (C) and chemoradiation (C + R) in stage I, II, and III LCNEC patients before and after propensity score matching

CharacteristicsBefore PSM analysis P After PSM analysis P
C (n = 91)C + R (n = 215)C (n = 89)C + R (n = 89)
Race  0.503  0.846
White70174 6968 
Black1633 1516 
Others58 55 
Age  0.521  0.203
≥6066148 6456 
<602567 2533 
Gender  0.223  0.650
Male56116 5451 
Female3599 3538 
Grade  0.178  0.754
I01 01 
II11 11 
III3268 3035 
IV1522 1510 
Unknown43123 4342 
TNM  0.185  0.675
Stage I621 64 
Stage II66 65 
Stage III79188 7780 
T   0.019   0.947
Tx712 77 
T002 00 
T1638 66 
T22359 2321 
T3817 813 
T44787 4542 
N  0.566  1.000
Nx22 20 
N01742 1520 
N148 47 
N243124 4345 
N32539 2517 

Bold indicates the significance value (P < 0.05).

The effect of treatments in non‐surgical stage I, II, and III LCNEC patients. A, Radiation achieved better benefit than chemotherapy for the non‐surgical stage I, II, and III LCNEC patients (P = 0.023). B, After the differences of variables between the groups were reduced, compared with chemotherapy, radiation did not showed advantage in proving patients’ prognoses (P = 0.839). C, Chemoradiation achieved better prognosis than chemotherapy alone (P = 0.000). D, Chemoradiation showed advantage than chemotherapy in improving patients’ prognoses after PSM method was conducted (P = 0.003) Characteristics among chemotherapy (C) and radiation (R) in stage I, II, and III LCNEC patients before and after propensity score matching Bold indicates the significance value (P < 0.05). Characteristics among chemotherapy (C) and chemoradiation (C + R) in stage I, II, and III LCNEC patients before and after propensity score matching Bold indicates the significance value (P < 0.05).

Chemotherapy alone benefited stage IV LCNEC patients more than the other treatments

As shown in Table 4, the main treatments for stage IV patients were palliative treatment, chemotherapy, radiation, and chemoradiation, we attempted to explore the better treatment for the late stage patients. Compared with palliative treatment, chemotherapy achieved better OS (Figure 4A). To reduce the difference of variable between the groups (age, P = 0.030), PSM method was conducted, 308 patients were matched. After PSM, variables between the two groups had no significant differences (Table 10). Chemotherapy treatment has longer OS than palliative treatment (Figure 4B). Furthermore, radiation (Figure S4C, Table S10) and chemoradiation (Figure S4D, Table S11) also achieved better prognoses than palliative treatment.
Figure 4

Chemotherapy alone achieved better prognosis than the other treatments in Stage IV LCNEC patients. A, Chemotherapy achieved better prognosis than palliative treatment (P = 0.000). B, Chemotherapy achieved better prognosis than palliative treatment after PSM was conducted (P = 0.000). C, Chemotherapy achieved better prognosis than radiation treatment (P = 0.000). D, Chemoradiation achieved better prognosis than radiation (P = 0.000). E, Chemoradiation achieved better prognosis than radiation after PSM was conducted (P = 0.000). F, Chemoradiation did not have advantage than chemotherapy alone in proving patients’ prognoses (P = 0.688)

Table 10

Characteristics among palliative treatment (P) and chemotherapy (C) in stage IV LCNEC patients before and after propensity score matching

CharacteristicsBefore PSM analysis P After PSM analysis P
P (n = 337)C (n = 411)P (n = 308)C (n = 308)
Race  0.536  0.789
White294292 266267 
Black3135 3027 
Others1216 1214 
Age   0.030   0.843
≥60271254 243245 
<606692 6563 
Gender  0.842  0.934
Male203211 194193 
Female134135 114115 
Grade  0.067  0.604
I04 04 
II12 10 
III6787 6674 
IV2330 2123 
Unknown247223 220207 
T  0.970  1.000
Tx5460 5050 
T043 43 
T13429 3024 
T28093 7684 
T31313 1212 
T4152148 136135 
N  0.654  1.000
Nx3521 3118 
N05854 4967 
N13124 3021 
N2149157 139140 
N36490 5982 

Bold indicates the significance value (P < 0.05).

Chemotherapy alone achieved better prognosis than the other treatments in Stage IV LCNEC patients. A, Chemotherapy achieved better prognosis than palliative treatment (P = 0.000). B, Chemotherapy achieved better prognosis than palliative treatment after PSM was conducted (P = 0.000). C, Chemotherapy achieved better prognosis than radiation treatment (P = 0.000). D, Chemoradiation achieved better prognosis than radiation (P = 0.000). E, Chemoradiation achieved better prognosis than radiation after PSM was conducted (P = 0.000). F, Chemoradiation did not have advantage than chemotherapy alone in proving patients’ prognoses (P = 0.688) Characteristics among palliative treatment (P) and chemotherapy (C) in stage IV LCNEC patients before and after propensity score matching Bold indicates the significance value (P < 0.05). To determine which one of the treatments (chemotherapy, radiation, chemoradiation) benefits more for the late stage patients, we firstly compared radiation with chemotherapy. Chemotherapy benefited patients more than radiation (Figure 4C, Table 11). Then, we compared radiation with chemoradiation after PSM, 184 patients were matched (Table S12). As shown in Figure 4D,E, chemoradiation obtained better benefit than radiation alone. While compared with chemotherapy alone, the combination treatment chemoradiation did not achieve more benefit (Figure 4F, Figure S4E, Table S13). The results demonstrated that chemotherapy alone was the better treatment than palliative treatment, radiation, and chemoradiation for the stage IV LCNEC patients.
Table 11

Characteristics among radiation (R) and chemotherapy (C) in stage IV LCNEC patients before propensity score matching

CharacteristicsBefore PSM analysis P
R (n = 184)C (n = 346)
Race  0.301
White151292 
Black2435 
Others916 
Age  0.503
≥60140254 
<604492 
Gender  0.111
Male99211 
Female85135 
Grade  0.565
I04 
II12 
III4287 
IV1430 
Unknown127223 
T  0.384
Tx2360 
T033 
T11929 
T24993 
T31013 
T480148 
N  0.066
Nx1321 
N04754 
N11624 
N277157 
N33190 
Characteristics among radiation (R) and chemotherapy (C) in stage IV LCNEC patients before propensity score matching

DISCUSSION

The optimal treatment strategies for LCNEC patients have not yet been established. In order to improve prognoses in patients with LCNEC, this study investigated the effect of different treatments based on the data obtained from the SEER database. We found that age, gender, TNM stage, T stage, N stage, and M stage were all independent prognostic factors. Surgery benefited stage I, II, and III LCNEC patients’ prognoses. Surgery combining with chemotherapy was the optimal treatment for stage I, II, and III LCNEC patients. Chemotherapy alone achieved better prognosis than palliative treatment, radiation, or chemoradiation for stage IV LCNEC patients. Surgical treatment can achieve satisfactory results for suitable patients. As for LCNEC, the patients who suit to perform surgery have no standard by now. Surgical resection was indicated for stage I and II patients to obtain better prognosis.5 However, the 1‐year OS rate of stage I, II, and III ALCNEC patients who underwent surgery was better (88.9%) than those who did not undergo surgery (51.9%).6 Except the stages reported before, in this study, we also found stage III B LCNEC patients achieved benefit upon surgical treatment. Comparing with previous studies, tumor patients exhibiting both LCNEC and the other kind of tumors as well as the lung metastasis tumors were removed; all the patients analyzed in this study were pure LCNEC patients. Moreover, a bigger cohort of patients was analyzed, and the differences of variables between the groups that may influence the effect of surgery for patients’ prognoses were reduced. Thus, we demonstrate that stage I, II, and III LCNEC patients should perform surgery to achieve better prognosis. LCNEC is an aggressive tumor with high rate of recurrence even after complete surgical resection in its early stage;7 therefore, surgery alone is not sufficient to treat patients with LCNEC, and adjuvant treatment such as chemotherapy or radiation is necessary. Prophylactic cranial irradiation could decrease the incidence of brain metastasis and improve survival rate in patients with SCLC.8 Pulmonary neuroendocrine carcinoma patients with brain metastasis could be effectively treated with either whole‐brain radiation therapy or stereotactic radiosurgery (SRS).9 However, radiation did not make any benefit in improving LCNEC patients’ prognosis.10 Chemoradiation achieved better overall response rate than chemotherapy alone;11 unlike the result found in literature, in our study, we found that chemoradiation did not make may benefit in proving stage I, II, and III surgery patients’ prognoses or stage IV patients’ prognoses. The effect of radiation for LCNEC patients is limited and should be reconsidered thoroughly. Contrast with radiation, chemotherapy showed significant advantage. For example, when patients were diagnosed at stage I, II, and III, surgery combining with chemotherapy was the optimal treatment; in stage IV patients, chemotherapy alone achieved better prognosis than the others treatment. Our study demonstrated advantageous position of chemotherapy in improving patients’ prognoses for LCNEC. In conclusion, through this study, we recommend that stage I, II, and III LCNEC patients should perform surgery to obtain better prognoses, surgery combining with chemotherapy is the optimal treatment for stage I, II, and III LCNEC patients, and chemotherapy alone is better than the other treatments for stage IV patients.

CONFLICT OF INTEREST

There is no conflict of interest in this manuscript. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file. Click here for additional data file.
  12 in total

1.  Management of Brain Metastasis in Patients With Pulmonary Neuroendocrine Carcinomas.

Authors:  Rupesh Kotecha; Amy Zimmerman; Erin S Murphy; Zain Ahmed; Manmeet S Ahluwalia; John H Suh; Chandana A Reddy; Lilyana Angelov; Michael A Vogelbaum; Gene H Barnett; Samuel T Chao
Journal:  Technol Cancer Res Treat       Date:  2015-06-03

2.  Clinical features of unresectable high-grade lung neuroendocrine carcinoma diagnosed using biopsy specimens.

Authors:  Yoshihisa Shimada; Seiji Niho; Genichiro Ishii; Tomoyuki Hishida; Junji Yoshida; Mitsuyo Nishimura; Kiyotaka Yoh; Koichi Goto; Hironobu Ohmatsu; Yuichiro Ohe; Kanji Nagai
Journal:  Lung Cancer       Date:  2011-09-13       Impact factor: 5.705

3.  Large cell neuroendocrine carcinoma: retrospective analysis of 24 cases from four oncology centers in Turkey.

Authors:  Bala Başak Oven Ustaalioglu; Arife Ulas; Onur Esbah; Nedim Turan; Ahmet Bilici; Umut Demirci; Necati Alkıs; Mesut Seker; Berna Oksuzoglu; Mahmut Gumus
Journal:  Thorac Cancer       Date:  2013-05       Impact factor: 3.500

4.  Predictors of survival after operation among patients with large cell neuroendocrine carcinoma of the lung.

Authors:  Florian Eichhorn; Hendrik Dienemann; Thomas Muley; Arne Warth; Hans Hoffmann
Journal:  Ann Thorac Surg       Date:  2015-01-14       Impact factor: 4.330

5.  [Prognosis of surgically treated large cell neuroendocrine carcinoma].

Authors:  Natsumi Matsuura; Nariyasu Nakashima; Hitoshi Igai; Shintarou Tarumi; Sung-Soo Chang; Noriyuki Misaki; Dage Liu; Tetsuhiko Go; Shinya Ishikawa; Cheng-Long Huang; Hiroyasu Yokomise
Journal:  Kyobu Geka       Date:  2011-03

6.  [Treatment strategy for neuroendocrine carcinoma of the lung].

Authors:  Akikazu Kawase; Kanji Nagai
Journal:  Gan To Kagaku Ryoho       Date:  2009-10

7.  Genomic Profiling of Large-Cell Neuroendocrine Carcinoma of the Lung.

Authors:  Tomohiro Miyoshi; Shigeki Umemura; Yuki Matsumura; Sachiyo Mimaki; Satoshi Tada; Hideki Makinoshima; Genichiro Ishii; Hibiki Udagawa; Shingo Matsumoto; Kiyotaka Yoh; Seiji Niho; Hironobu Ohmatsu; Keiju Aokage; Tomoyuki Hishida; Junji Yoshida; Kanji Nagai; Koichi Goto; Masahiro Tsuboi; Katsuya Tsuchihara
Journal:  Clin Cancer Res       Date:  2016-08-09       Impact factor: 12.531

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Authors:  Jong-Mu Sun; Myung-Ju Ahn; Jin Seok Ahn; Sang-Won Um; Hojoong Kim; Hong Kwan Kim; Young Soo Choi; Joungho Han; Jhingook Kim; O Jung Kwon; Young Mog Shim; Keunchil Park
Journal:  Lung Cancer       Date:  2012-05-11       Impact factor: 5.705

9.  Outcome and prognostic factors of multimodal therapy for pulmonary large-cell neuroendocrine carcinomas.

Authors:  Juliane Rieber; Julian Schmitt; Arne Warth; Thomas Muley; Jutta Kappes; Florian Eichhorn; Hans Hoffmann; Claus Peter Heussel; Thomas Welzel; Jürgen Debus; Michael Thomas; Martin Steins; Stefan Rieken
Journal:  Eur J Med Res       Date:  2015-08-14       Impact factor: 2.175

10.  The demographic and treatment options for patients with large cell neuroendocrine carcinoma of the lung.

Authors:  Jianjun Gu; Daohui Gong; Yuxiu Wang; Beiyuan Chi; Jun Zhang; Suwei Hu; Lingfeng Min
Journal:  Cancer Med       Date:  2019-05-14       Impact factor: 4.452

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Review 1.  Surgical Principles in the Management of Lung Neuroendocrine Tumors: Open Questions and Controversial Technical Issues.

Authors:  Debora Brascia; Giuseppe Marulli
Journal:  Curr Treat Options Oncol       Date:  2022-10-21

2.  The demographic and treatment options for patients with large cell neuroendocrine carcinoma of the lung.

Authors:  Jianjun Gu; Daohui Gong; Yuxiu Wang; Beiyuan Chi; Jun Zhang; Suwei Hu; Lingfeng Min
Journal:  Cancer Med       Date:  2019-05-14       Impact factor: 4.452

Review 3.  Survival outcomes of surgery in patients with pulmonary large-cell neuroendocrine carcinoma: a retrospective single-institution analysis and literature review.

Authors:  Yeye Chen; Jiaqi Zhang; Cheng Huang; Zhenhuan Tian; Xiaoyun Zhou; Chao Guo; Hongsheng Liu; Shanqing Li
Journal:  Orphanet J Rare Dis       Date:  2021-02-12       Impact factor: 4.123

4.  Anterior mediastinal large cell neuroendocrine carcinoma with elevated AFP: A case report and review.

Authors:  Justin Komisarof; Haoming Qiu; Moises J Velez; Deborah Mulford
Journal:  Mol Clin Oncol       Date:  2020-12-22

5.  Outcomes of Patients with Pulmonary Large Cell Neuroendocrine Carcinoma in I-IV Stage.

Authors:  Anna Lowczak; Agnieszka Kolasinska-Cwikla; Karolina Osowiecka; Lidia Glinka; Jakub Palucki; Robert Rzepko; Anna Doboszynska; Jaroslaw B Cwikla
Journal:  Medicina (Kaunas)       Date:  2021-01-28       Impact factor: 2.430

Review 6.  Large Cell Neuro-Endocrine Carcinoma of the Lung: Current Treatment Options and Potential Future Opportunities.

Authors:  Miriam Grazia Ferrara; Alessio Stefani; Michele Simbolo; Sara Pilotto; Maurizio Martini; Filippo Lococo; Emanuele Vita; Marco Chiappetta; Alessandra Cancellieri; Ettore D'Argento; Rocco Trisolini; Guido Rindi; Aldo Scarpa; Stefano Margaritora; Michele Milella; Giampaolo Tortora; Emilio Bria
Journal:  Front Oncol       Date:  2021-04-15       Impact factor: 6.244

7.  Clinical features and treatment outcomes of resected large cell neuroendocrine carcinoma of the lung.

Authors:  Jin Young Moon; Seo Hee Choi; Tae Hyung Kim; Joongyo Lee; Ji Hoon Pyo; Yong Tae Kim; Seo Jin Lee; Hong In Yoon; Jaeho Cho; Chang Geol Lee
Journal:  Radiat Oncol J       Date:  2021-12-08

Review 8.  Management of Large Cell Neuroendocrine Carcinoma.

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Journal:  Front Oncol       Date:  2021-08-27       Impact factor: 6.244

9.  Surgical resection versus stereotactic body radiation therapy in early stage bronchopulmonary large cell neuroendocrine carcinoma.

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Journal:  Thorac Cancer       Date:  2019-12-20       Impact factor: 3.500

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Authors:  Hubertus Hautzel; Yazan Alnajdawi; Wolfgang P Fendler; Christoph Rischpler; Kaid Darwiche; Wilfried E Eberhardt; Lale Umutlu; Dirk Theegarten; Martin Stuschke; Martin Schuler; Clemens Aigner; Ken Herrmann; Till Plönes
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