The continued importance of surgical resection in the management of pulmonary neuroendocrine tumours
Original Article

The continued importance of surgical resection in the management of pulmonary neuroendocrine tumours

Urim Starova1 ORCID logo, Dominik Herrmann1, Melanie Oggiano1, Thorsten Walles2, Erich Hecker1 ORCID logo

1Department of Thoracic Surgery, Thoraxzentrum Ruhrgebiet, Evangelisches Krankenhaus, Herne, Germany; 2Department of Thoracic Surgery, Magdeburg University Hospital, Magdeburg, Germany

Contributions: (I) Conception and design: U Starova; (II) Administrative support: U Starova; (III) Provision of study materials or patients: U Starova; (IV) Collection and assembly of data: D Herrmann, M Oggiano; (V) Data analysis and interpretation: T Walles, E Hecker; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

Correspondence to: Erich Hecker, Dr. med. Department of Thoracic Surgery, Thoraxzentrum Ruhrgebiet, Evangelisches Krankenhaus, Hordeler Straße 7-9, 44651 Herne, Germany. Email: e.hecker@evk-herne.de.

Background: Neuroendocrine tumours (NETs) represent a heterogeneous group of neoplasms arising from neuroendocrine cells, which are diffusely distributed throughout the body. The lungs and gastrointestinal tract are the most frequent primary sites. This study aimed to evaluate 5-year overall survival (OS) rates across various subtypes of pulmonary NETs (PNETs) following anatomical resection. Furthermore, it sought to identify potential prognostic factors influencing survival outcomes.

Methods: A retrospective analysis was performed on patients diagnosed with PNETs who underwent anatomical resection at our institution between 2008 and 2023. Tumour staging was conducted in accordance with the 8th edition of the International Association for the Study of Lung Cancer (IASLC) classification. Survival outcomes were estimated using the Kaplan-Meier method, and prognostic factors were analysed via Cox regression analysis.

Results: Between 2008 and 2023, a total of 3,345 patients underwent anatomical resections for lung cancer, of whom 145 were diagnosed with NETs. The overall 5-year survival rate for this cohort was 77%. Subgroup analysis revealed survival rates of 87% for typical carcinoid (TC) tumours, 83% for atypical carcinoid (AC), and 86% for large cell neuroendocrine carcinoma (LCNEC). In contrast, the 5-year survival rate for patients with small cell lung carcinoma (SCLC) was 59%.

Conclusions: Surgical resection remains an effective therapeutic strategy for all histological subtypes of PNETs. Our 5-year survival analysis indicates that tumour histology, postoperative tumour category (T category), and N2 nodal status are the most significant prognostic factors influencing survival.

Keywords: Typical carcinoid (TC); atypical carcinoid (AC); large cell neuroendocrine carcinoma (LCNEC); small cell lung carcinoma (SCLC); surgical treatment


Submitted Jul 12, 2025. Accepted for publication Sep 17, 2025. Published online Nov 19, 2025.

doi: 10.21037/jtd-2025-1407


Highlight box

Key findings

• Tumour histology, nodal status, tumour category (T category), and surgical selection criteria play pivotal roles in determining the prognosis of pulmonary neuroendocrine tumours.

What is known and what is new?

• Pulmonary neuroendocrine neoplasms (NENs) are heterogeneous lung tumours. Well-differentiated tumours (typical carcinoid, atypical carcinoid) usually have favourable outcomes, while poorly differentiated tumours (large cell neuroendocrine carcinoma, small cell lung carcinoma) are aggressive. tumour stage, nodal involvement, and surgical approach influence survival, but comparative data across all subtypes remain limited.

• In 145 surgically treated patients, nodal status and T category were key prognostic factors. Early detection and parenchyma-sparing procedures, such as sleeve resections, improved overall survival even in poorly differentiated tumours. Findings support systematic mediastinal lymphadenectomy and tailored surgical strategies.

What is the implication, and what should change now?

• Early diagnosis, particularly for poorly differentiated tumours, reduces nodal involvement and improves survival.

• Anatomical resection with systematic mediastinal lymphadenectomy remains the treatment cornerstone. Parenchyma-sparing techniques such as sleeve resection should be preferred over pneumonectomy whenever feasible.


Introduction

Pulmonary neuroendocrine neoplasms (NENs) are a diverse group of lung tumours characterised by neuroendocrine morphology and immunophenotypic markers (1,2). According to the 5th edition of the World Health Organization (WHO) classification (2021), NENs comprise four distinct subtypes. Although these subtypes share morphological and immunohistochemical features, they differ significantly in their biological behaviour. Typical carcinoid [TC, grade 1 (G1)] and atypical carcinoid [AC, grade 2 (G2)] tumours are well-differentiated and categorised as low- and intermediate-grade, respectively, whereas large cell neuroendocrine carcinoma [LCNEC, grade 3 (G3)] and small cell lung carcinoma [SCLC, grade 4 (G4)] are poorly differentiated high-grade malignancies (1,3-5).

In contrast to TC and AC, which may arise from diffuse idiopathic pulmonary neuroendocrine cell hyperplasia (DIPNECH)—a recognized preinvasive lesion within the spectrum of pulmonary neuroendocrine neoplasia (6)—no such precursor has been identified for LCNEC or SCLC (7). DIPNECH is also considered a precursor to tumourlets, defined as neuroendocrine cell proliferations extending beyond the basement membrane and measuring <5 mm in greatest dimension, in contrast to lesions exceeding 5 mm, which are classified as pulmonary neuroendocrine tumours (PNETs), commonly referred to as carcinoid tumours.

Recent data suggest that NENs account for approximately 20% of primary lung neoplasms (8), with SCLC comprising 15–20% of all invasive lung cancers (9).

The appropriate extent of surgical intervention in well-differentiated tumours and the role of surgery in poorly differentiated subtypes has been the subject of considerable debate in recent years. While several authors, including Daddi et al. (10) and Filosso et al. (11), have contributed to this discourse, the literature remains limited. Only a handful of studies (12-14) have systematically compared outcomes among the different neuroendocrine subtypes and examined prognostic factors following surgical treatment.

The aim of the present study was to determine the 5-year overall survival (OS) rates of patients with surgically resected PNETs and to identify key prognostic factors that influence clinical outcomes. We present this article in accordance with the STROBE reporting checklist (available at https://jtd.amegroups.com/article/view/10.21037/jtd-2025-1407/rc).


Methods

Between 2008 and 2023, a total of 214 patients diagnosed with PNETs underwent surgical treatment at our thoracic surgery centre. Patients exhibiting mixed histology—specifically those with concurrent non-small cell lung cancer—or those diagnosed with DIPNECH were excluded from the study (Figure 1).

Figure 1 Flow diagram of patient selection and inclusion in the study. DIPNECH, diffuse idiopathic pulmonary neuroendocrine cell hyperplasia.

All patients underwent standard functional evaluation, including blood gas analysis and body plethysmography. Patients with compromised pulmonary function—defined by a forced expiratory volume in 1 second (FEV1) and/or diffusing capacity for carbon monoxide (DLCO) below 75%—as well as those over 80 years of age, individuals with a Revised Cardiac Risk Index (RCRI) score of 2 or higher, and those scheduled for extensive resections (e.g. sleeve resection, bilobectomy, pneumonectomy), underwent further pre-operative assessment. This included cardiopulmonary exercise testing and lung perfusion scintigraphy. Patients demonstrating cardiac limitations were referred for cardiology consultation, often leading to coronary angiography.

Three patients were deemed unfit for anatomical resection based on functional limitations and were excluded from the analysis.

Comprehensive staging was performed fluorodeoxyglucose (FDG) positron emission tomography (PET)-computed tomography (CT), chest CT, and brain magnetic resonance imaging (MRI). Given the overexpression of somatostatin receptors in PNETs, additional imaging was performed using DOTATOC PET‑CT or, in some cases, octreotide scintigraphy following the diagnosis of TC or AC.

Mediastinal staging was conducted via endobronchial ultrasound (EBUS) and video-assisted mediastinoscopic lymphadenectomy (VAMLA). Indications for VAMLA included left-sided tumours, mediastinal lymph node enlargement on CT, PET-positive nodal status, or a pre-operative histological diagnosis of LCNEC or SCLC obtained via bronchoscopy with EBUS or CT-guided biopsy.

One patient with a Pancoast tumour received neoadjuvant chemotherapy and mediastinal radiotherapy before surgery.

All resected specimens—including the primary tumour and systematically dissected hilar and mediastinal lymph nodes—were subjected to detailed histopathological analysis. Tumours were classified according to the 8th edition of the tumour-node-metastasis (TNM) staging system.

The surgical approach and extent of resection were determined in a multidisciplinary thoracic oncology meeting. Procedures were performed either via anterolateral thoracotomy or video-assisted thoracoscopic surgery (VATS), both under one-lung ventilation achieved with double-lumen endotracheal intubation. Thoracotomy was carried out through the 4th or 5th intercostal space. The three-port VATS technique included a utility incision in the 4th intercostal space anterior to the latissimus dorsi, with two additional ports positioned at the diaphragm level along the midaxillary and anterior axillary lines.

Patient data were retrospectively retrieved from histopathology records and discharge summaries. Mortality was cross-checked through the national health database, while survivors were contacted by telephone for follow-up. Outpatient evaluations were conducted at 3-month intervals during the first 2 years, including thoracic CT and chest radiography. In the 3rd and 4th years, follow-up was conducted semi-annually and annually during the 5th year.

Statistical analysis

Data entry was conducted using Microsoft Excel 365. For descriptive statistical analysis, SPSS for Windows version 23.09 (IBM-SPSS Inc., Armonk, NY, USA) was utilized. The Kruskal-Wallis rank test was employed to compare quantitative variables, followed by Dunn’s post hoc test. Non-parametric variables were analysed using the chi-square test. Continuous variables are presented as means with standard deviations (SDs) or medians with interquartile ranges, while categorical data are reported as counts and percentages. Statistical significance was set at P<0.05. Five-year OS and disease-free survival (DFS) were calculated using Kaplan-Meier analysis and are presented as the mean estimated survival.

Univariate analysis was conducted for factors expected to influence OS, such as tumour stage (T stage) and node stage (N stage), type of lung neuroendocrine neoplasms (L-NEN), and sex. Factors identified as impacting survival in the univariate analysis were included in the multivariate analysis using Cox regression. Variables with P<0.05 in the univariate analysis were included in the multivariate analysis, where statistical significance was set at a P value of less than 0.05.

Ethical statement

The study was conducted in accordance with the Declaration of Helsinki and its subsequent amendments, the International Council for Harmonisation Good Clinical Practice (ICH-GCP) guidelines, and the applicable national regulations, including the European Union General Data Protection Regulation (EU GDPR). The responsible Ethics Committee was consulted. Due to the retrospective design of the study, which relied exclusively on existing treatment data without any additional data collection or patient contact, formal ethical approval was waived by the Ethics Committee of Westphalia-Lippe. All patient data used for the analysis were pseudonymized prior to evaluation to ensure data protection and confidentiality. Informed consent was also not required.


Results

Patient characteristics: between 2008 and 2023, 145 patients with a diagnosis of PNETs underwent anatomical resection. The gender distribution slightly favoured females (54%) over males (46%), and the mean age at diagnosis was 64 years (Table 1).

Table 1

Patient baseline characteristics and patient outcomes

Variables Total TC AC LCNEC SCLC
Total 145 (100.0) 62 (42.8) 18 (12.4) 18 (12.4) 47 (32.4)
Demographic data
   Age (years) 62.21 (12.4) 60.6 (14.1) 59.3 (14.0) 65.4 (9.7) 64.3 (9.8)
   Female gender 78 (53.7) 41 (66.1) 10 (6.8) 5 (27.7) 23 (48.9)
T category
   T1 88 (60.8) 49 (79.0) 12 (66.7) 10 (55.6) 17 (36.2)
   T2 33 (22.7) 9 (14.6) 5 (27.8) 4 (22.2) 15 (31.9)
   T3 14 (9.6) 2 (3.2) 0 2 (11.1) 10 (21.3)
   T4 10 (6.9) 2 (3.2) 1 (5.5) 2 (11.1) 5 (10.6)
N category
   N0 111 (76.5) 53 (85.5) 15 (83.3) 15 (83.3) 28 (59.6)
   N1 27 (18.6) 6 (9.7) 3 (16.7) 3 (16.7) 15 (31.9)
   N2 7 (4.9) 3 (4.8) 0 0 4 (8.5)
   N3 0 0 0 0 0
UICC stage
   I 92 (63.4) 48 (77.4) 15 (83.3) 10 (55.5) 19 (40.4)
   II 29 (20.0) 10 (16.1) 2 (11.1) 3 (16.7) 14 (29.8)
   III 24 (16.6) 4 (6.5) 1 (5.6) 5 (27.8) 14 (29.8)
   IV 0 0 0 0 0
Extent of resection
   Segmentectomy 12 (8.3) 5 (8.1) 0 4 (22.2) 3 (6.4)
   Lobectomy 101 (69.7) 44 (71.0) 14 (77.7) 11 (61.1) 32 (68.1)
   Sleeve resection 14 (9.7) 10 (16.1) 1 (5.6) 0 3 (6.4)
   Double sleeve resection 6 (4.1) 2 (3.2) 1 (5.6) 0 3 (6.4)
   Bilobectomy 4 (2.7) 1 (1.6) 2 (11.1) 0 1 (2.1)
   Pneumonectomy 8 (5.5) 0 0 3 (16.7) 5 (10.6)
30-day mortality (%) 3 1 1 0 1
5-year OS (%) 77 87 83 86 59
5-year DFS (%) 75 83 82 72 55
Relapse 6 (4.1) 2 (3.2) 0 1 (5.5) 3 (6.3)
Hospitalisation 10.4 (7.2) 9.2 (5.3) 9.0 (4.1) 10.1 (4.9) 12.6 (10.1)

Data are presented as the mean (SD) or n (%), unless otherwise stated. AC, atypical carcinoid; DFS, disease-free survival; LCNEC, large cell neuroendocrine carcinoma; N, node; OS, overall survival; SCLC, small cell lung carcinoma; SD, standard deviation; T, tumour; TC, typical carcinoid; UICC, Union for International Cancer Control.

Among these patients, 62 were diagnosed with TC tumours, 18 with ACs, 18 with LCNEC, and 47 with SCLC. Histological confirmation was achieved via bronchoscopy with EBUS in 64 patients and through CT-guided biopsy in 11 cases.

Pre-operative nodal involvement was identified in 34 patients: 24 had N1 disease and 10 had N2 status. A total of 59 patients underwent video-assisted mediastinoscopy, which, together with EBUS, downstaged three patients previously classified as N2 based on PET-CT findings.

All patients underwent anatomical resection. The most frequently performed procedure was lobectomy (n=101), followed by sleeve resection (n=14) and double sleeve resection (n=6). Segmentectomy was performed in 12 cases, while bilobectomy and pneumonectomy were performed in 4 and 8 patients, respectively. Complete (R0) resection was achieved in all cases.

Postoperative complications are summarized in Table 2.

Table 2

Postoperative complications

Complication Number of patients
Haemothorax 5
Parenchymal fistula 3
Pleural empyema 3
Bronchial stump insufficiency 2
Anastomotic insufficiency 1

The 30-day mortality rate was 2.7% (4 cases). Among patients with poorly differentiated tumours, 65 received adjuvant chemotherapy and/or radiotherapy, primarily a cisplatin‑etoposide regimen.

The OS rate was 77%. OS varied significantly by histology (P=0.001). In total, 87% in TC, 83% in AC, 86% in LCNEC, and 59% in SCLC (Figure 2). The OS by T category was 87% T1, 68% T2, 50% T3, and 44% for T4 (P<0.01; Figure 3). Among SCLC patients, OS by T stage was 83% T1, 60% T2, 42% T3, and 20% for T4 (P=0.003). As shown in Figure 4, nodal status significantly impacted survival: OS was 80% (pN0), 78% (pN1), and 45% (pN2) (P<0.001). The DFS rate was 75%, differing by histology (P=0.002; Figure 5).

Figure 2 Survival curves by histology. AC, atypical carcinoid; LCNEC, large cell neuroendocrine carcinoma; SCLC, small cell lung carcinoma; TC, typical carcinoid.
Figure 3 Survival curves by T status. pT, pathological tumour; T, tumour.
Figure 4 Survival curves by N status. pN, pathological node; N, node.
Figure 5 DFS curves by histology. AC, atypical carcinoid; DFS, disease-free survival; LCNEC, large cell neuroendocrine carcinoma; SCLC, small cell lung carcinoma; TC, typical carcinoid.

Univariable analysis identified older age, male sex, SCLC histology, T3/T4 stage, N2 status, Union for International Cancer Control (UICC) stage III, and pneumonectomy as negative prognostic factors, while TC histology and T1 status were favourable. In multivariable analysis, T3, T4, and N2 status remained independent negative factors, whereas T1 status was positive (Table 3).

Table 3

Risk factors for death

Predictor variables Univariable analysis Multivariable analysis
HR 95% CI P HR 95% CI P
Age 0.04 1–1.07 0.02 0.01 0.97–1.06 0.59
Male 0.09 0.27–1.12 0.09 0.48 0.21–1.08 0.78
Histological type
   TC −1.07 0.15–0.79 0.014 0.34 0.15–13.3 0.77
   AC −0.36 0.21–2.3 0.55 0.15 0.21–6,20 0.86
   LCNEC −0.84 0.1–1.8 0.24 −1.29 0.03–2.35 0.24
   SCLC 1.42 2.02–8.45 0.001 0.59 0.62–5.22 0.28
T category
   T1 −1.53 0.1–0.47 <0.001 −2.03 0.03–0.51 0.003
   T2 0.69 0.95–4.16 0.06 3.06 0.64–5.45 0.08
   T3 0.95 1.06–6.33 0.034 1.94 1.3–37.04 0.02
   T4 0.98 1–7.16 0.005 1.97 1.14–45.08 0.03
N category
   N0 −0.47 0.29–1.32 0.22 −0.28 0.54–2.79 0.46
   N1 0 0.41–2.43 0.99 0.37 0.220–9.70 0.85
   N2 1.46 1.5–12.36 0.007 3.29 3.87–18.79 0.001
UICC stage
   I −0.68 0.25–1.03 0.06 −1.46 0.30–1.74 0.15
   II −0.59 0.19–1.59 0.27 −2.03 0.02–8.78 0.34
   III 1.35 1.87–7.96 <0.001 1.63 0.88–28.93 0.06
Extent of resection
   Segmentectomy −0.42 0.16–2.75 0.56 -0.83 0.92–4.76 0.69
   Lobectomy −0.09 0.44–1.9 0.81 0.78 0.21–22.52 0.51
   Sleeve resection 0.34 0.58–3.42 0.45 1.49 0.19–102.31 0.35
   Bilobectomy −11.5 0–3.4 0.95 −18.8 0.32–5.7 0.99
   Pneumonectomy 1.09 1.05–8.52 0.047 0.15 0.24–3.02 0.82

AC, atypical carcinoid; CI, confidence interval; HR, hazard ratio; LCNEC, large cell neuroendocrine carcinoma; N, node; SCLC, small cell lung carcinoma; T, tumour; TC, typical carcinoid; UICC, Union for International Cancer Control.


Discussion

Between 2008 and 2023, we performed 145 anatomical resections for neuroendocrine lung tumours. These cases were retrospectively reviewed to assess 5-year overall and DFS rates, as well as to identify key prognostic factors influencing outcomes.

PNETs exhibit distinct prognostic profiles based on histological subtype and biological aggressiveness. A well-established distinction exists between well-differentiated and poorly differentiated subtypes, with the former generally associated with more favourable outcomes and the latter with significantly poorer survival. This division is supported by findings from Filosso et al. (11), which are consistent with our results.

Importantly, our analysis highlights the critical prognostic role of nodal status in patients with poorly differentiated NENs. This is corroborated by Girelli et al. (14), who reported inferior survival in patients with LCNEC and nodal metastases compared to those without. Similar results were described by Lim et al. (15), whose cohort also included patients with small cell lung cancer SCLC, reinforcing the high prevalence and prognostic burden of nodal involvement in poorly differentiated tumours.

Interestingly, our findings diverge from previous reports in that nodal involvement among patients with LCNEC was lower in our cohort. This discrepancy may explain the comparatively higher survival rates observed in this subgroup and underscores the importance of early lung cancer detection (16).

Another potential explanation for the improved OS and lower 30-day mortality rate in our cohort lies in the surgical selection criteria. In addition to favouring anatomical resections in patients with peripheral tumours, we preferred parenchyma-sparing sleeve resections over pneumonectomy or bilobectomy for centrally located tumours (17-20). In contrast, series by Lim et al. (15), Veronesi et al. (21), and Raman et al. (22), which focused on SCLC and LCNEC, reported lower survival rates—likely due, in part, to their higher rates of pneumonectomy, a procedure we identified as a negative prognostic factor in our univariate analysis. This is further supported by a series from Strand et al. (23), which reported higher 30-day mortality associated with pneumonectomy.

Furthermore, our data demonstrate a clear correlation between increasing T category and reduced OS across all histological subtypes (P<0.001). This finding is consistent with the work of Cattoni et al. (24) and Travis et al. (25), who identified T stage as an important prognostic indicator in bronchial carcinoids and LCNEC. In contrast, Lim et al. (12) reported no significant association between T stage and survival in SCLC patients. However, our analysis revealed favourable survival outcomes among SCLC patients with T1 tumours and a marked decline in those with T4 tumours (P<0.01), two of whom underwent pneumonectomy. These results further support the prognostic value of T classification, even in aggressive subtypes such as SCLC, and challenge the concept of definitive chemoradiotherapy in patients with localized SCLC disease.

Limitations

This retrospective study included a relatively small cohort of 145 patients, limiting generalisability.

Although the findings for LCNEC and SCLC appear promising, the limited sample sizes in these subgroups reduce the statistical power of the analyses, and thus the results should be interpreted cautiously.

Detailed data on adjuvant therapy (duration, toxicity) were unavailable and may have influenced survival.

Propensity score matching was not employed, potentially introducing selection bias.


Conclusions

Tumour histology, nodal status, and T category significantly influence prognosis in PNETs. Early diagnosis, particularly for poorly differentiated tumours, reduces nodal involvement and improves survival.

Anatomical resection with systematic mediastinal lymphadenectomy remains the treatment cornerstone. Parenchyma-sparing techniques such as sleeve resection should be preferred over pneumonectomy whenever feasible.


Acknowledgments

None.


Footnote

Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://jtd.amegroups.com/article/view/10.21037/jtd-2025-1407/rc

Data Sharing Statement: Available at https://jtd.amegroups.com/article/view/10.21037/jtd-2025-1407/dss

Peer Review File: Available at https://jtd.amegroups.com/article/view/10.21037/jtd-2025-1407/prf

Funding: None.

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jtd.amegroups.com/article/view/10.21037/jtd-2025-1407/coif). The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki and its subsequent amendments, the International Council for Harmonisation Good Clinical Practice (ICH-GCP) guidelines, and the applicable national regulations, including the European Union General Data Protection Regulation (EU GDPR). The responsible Ethics Committee was consulted. Due to the retrospective design of the study, which relied exclusively on existing treatment data without any additional data collection or patient contact, formal ethical approval was waived by the Ethics Committee of Westphalia-Lippe. All patient data used for the analysis were pseudonymized prior to evaluation to ensure data protection and confidentiality. Informed consent was also not required.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


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Cite this article as: Starova U, Herrmann D, Oggiano M, Walles T, Hecker E. The continued importance of surgical resection in the management of pulmonary neuroendocrine tumours. J Thorac Dis 2025;17(11):9528-9536. doi: 10.21037/jtd-2025-1407

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