Literature DB >> 31398710

Clinicopathological features and survival for gallbladder NEN: a population-based study.

Dong Cen1,2, Hui Liu1, Zhe Wan1,2, Zhongjie Lin1,2, Yanting Wang3, Junjie Xu1,2, Yuelong Liang1,2.   

Abstract

PURPOSE: Gallbladder neuroendocrine neoplasm (GB-NEN) is a relatively rare neoplasm, accounting for 0.5% of all neuroendocrine neoplasm cases and 2.1% of gallbladder cancers. Because of the limited understanding of GB-NEN, the aim of this study was to explore the clinicopathology and survival of GB-NEN patients selected from the Surveillance, Epidemiology, and End Results (SEER) database.
METHODS: A total of 248 GB-NEN patients from the SEER database diagnosed between 2004 and 2015 were included. Kaplan-Meier curves were used to examine the survival time. Multivariate Cox proportional hazard models were used to estimate hazard ratios with 95% confidence intervals to analyze the impact of factors on overall survival and cancer-specific survival.
RESULTS: The majority of the GB-NEN patients were women (67.3%), white (77%), and married (61.7%). Most tumors were <2 cm in size (31.0%), G3 stage (25.8%), and distant SEER stage (41.1%). 62.9% and 64.5% of cases showed an absence of lymph node metastasis and tumor metastasis, respectively. Patients who received gallbladder surgery had significantly better survival outcomes (P < 0.001). However, patients who received both gallbladder surgery and lymph node resection did not have better survival outcome compared with patients who received only gallbladder surgery. Multivariate Cox proportional hazard models indicated that older age, unmarried status, large tumor size (>5 cm), and distant SEER stage were significant independent predictors for decreased overall survival time and cancer-specific survival time (P < 0.05).
CONCLUSION: Age, marital status, tumor size, and SEER stage were predictors for the survival of GB-NEN patients. Gallbladder surgery was associated with better survival, but the combination of gallbladder surgery and lymphadenectomy had no effect on survival outcomes.

Entities:  

Keywords:  SEER database; clinicopathological characteristics; gallbladder neuroendocrine neoplasm; survival

Year:  2019        PMID: 31398710      PMCID: PMC6733363          DOI: 10.1530/EC-19-0124

Source DB:  PubMed          Journal:  Endocr Connect        ISSN: 2049-3614            Impact factor:   3.335


Introduction

Neuroendocrine neoplasms (NENs) are a heterogeneous group of tumors that are derived from diffuse neuroendocrine cells. As a result of improved detection of early-stage disease and possibly stage migration, the incidence and prevalence of NEN are steadily increasing (1, 2). According to the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) database, the incidence rate of NEN has increased from 1.09 per 100,000 people in 1973 to 6.98 per 100,000 people in 2012. NEN can be found in various tissues and organs throughout the body, with the highest incidence in gastroenteropancreatic sites, followed by the lungs (1). The incidence of gastroenteropancreatic NEN (GEP-NEN) continues to increase especially in older adults of 78–84 years of age, with an incidence rate of 3.56 per 100,000 (1, 3). As a result of improvements in therapies, increased overall survival was found in patients with a distant stage of GEP-NEN (1). Regarding treatment, surgery remains effective for localized tumors and systemic treatment options have expanded for patients with metastatic status (4). According to the World Health Organization (WHO) classification of NEN, NEN includes differentiated neuroendocrine tumors, also designated as carcinoid tumors in some systems, and poorly differentiated neuroendocrine carcinoma (5). NEN in the gallbladder is a relatively rare histological tumor type, accounting for 0.5% of all NEN cases (6). The most common histological tumor type of gallbladder cancer (GBC) is adenocarcinoma, representing 76–90% of all GBC cases. By contrast, gallbladder NEN (GB-NEN) only represents 2.1% of GBC cases (7). The current knowledge of GB-NEN is limited to case reports and small series of studies. A study of ten GB-NEN patients reported that the 1-, 2-, and 3-year survival rates were 20, 10, and 0%, respectively, and the median survival time was 3 months (8). However, data on GB-NEN patients selected from the SEER database showed that the 1-, 2-, 3- and 4-year survival rates were 43–45, 30–33, 28–31, and 22–26%, respectively (7). In a study of biliary neuroendocrine neoplasms, the median survival of GB-NEN patients was 7.9 months and only grade 3 tumors, according to the 2010 WHO classification, were significantly related to poor survival (9). Because of the rarity of GB-NEN, the survival outcomes, risk factors, and clinicopathological characteristics of GB-NEN patients remain unclear. The aim of this study was to explore the clinicopathological features and survival outcomes of GB-NEN patients using a population-based study based on the SEER database.

Materials and methods

Data source

The data in this study were from the SEER*Stat Database (version 8.3.5). The SEER program consists of 20 cancer registry points, covering 28% of the US population between 1973 and 2015. The SEER database is routinely updated and includes information on patient demographics, clinicopathological characteristics, treatment, and survival. Consent was obtained from each patient after full explanation of the purpose and nature of all procedures. As SEER data is publicly available and all patient data are de-identified, institutional review board approval and informed consent were not required for this study.

Study population

The strategy to identify GB-NEN cases is shown in Fig. 1. Using the primary site code (C23.9), International Classification of Disease for Oncology, third edition (ICDO-3) (8013/3, 8041/2, 8041/3, 8240/2, 8240/3, 8241/3, 8242/3, 8243/3, 8244/3, 8245/3, 8246/2, 8246/3, 8249/3) and diagnostic confirmation (positive histology), GB-NEN patients from 2004 to 2015 were selected from the database. Only patients with GB-NEN as a primary cancer were included. Patients that were younger than 18 years old and those for whom survival information was not available were excluded. Of the remaining 270 cases, 22 patients that lacked demographic, clinicopathological, or therapy information were also excluded. A total of 248 cases were finally included in this study.
Figure 1

Flowchart displaying the selection procedure of GB-NEN cases in the SEER database.

Flowchart displaying the selection procedure of GB-NEN cases in the SEER database.

Data extraction

Demographic information (age, sex, race, marital status, time at diagnosis), clinicopathological characteristics (tumor size, grade, SEER stage, lymph node metastasis, tumor metastasis), and therapy information (gallbladder surgery, lymph node surgery) were extracted from the SEER database. The original data from the SEER database was reviewed for sex, race, time at diagnosis, and tumor size information. Patients were divided into two groups according to age: younger than 65 years old vs older than 65 years of age. Because of the similar survival disadvantages to being unmarried, patients with divorced, separated, widowed, or single status were classified in the unmarried group for comparison with the married group in subsequent analysis. On the basis of the WHO classification of NEN, neuroendocrine carcinoma, small-cell carcinoma (SCC), large-cell neuroendocrine carcinoma (LCNEC) and mixed adenoneuroendocrine carcinoma (MANEC) of the gallbladder, can all be classified within gallbladder neuroendocrine carcinoma (GB-NEC). Carcinoid tumors and atypical carcinoid tumors of the gallbladder are classified within gallbladder neuroendocrine tumors (GB-NETs). Tumor grading was classified according to ICD-O-2 in the SEER database as G1 (well differentiated), G2 (moderately differentiated), G3 (poorly differentiated), or G4 (undifferentiated). According to the Collaborative Stage Data Collection System, TNM staging based on the Cancer Staging Manual (6th edition) of the American Joint Committee on Cancer was not applicable to GB-NEN. Staging was instead performed using the SEER Summary Stage 2000 (localized, regional, distant, or unknown). Lymph node metastatic status was classified as non-metastatic, metastatic, and unknown status (N0, N1, and unknown, respectively). Tumor metastatic status was classified as M0 (no metastasis) or M1 (metastasis). GB-NEN primary site therapy was categorized into two groups: the surgically treated patient group and the non-surgically treated patient group. As described in the SEER database, the surgery group included local tumor excision, simple/partial surgical removal of gallbladder, total surgical removal of gallbladder, and radical surgery. Lymph node surgery was divided into two groups: the surgically treated patient group and the non-surgically treated patient group. More details about data and variables can be found in the SEER database (http://seer.cancer.gov).

Statistical analyses

Overall survival (OS) was defined as the period from the date of diagnosis to the date of death from various causes. Cancer-specific survival (CSS), as the primary endpoint, was determined as the date of diagnosis to the date of cancer-specific death. The Kaplan–Meier method along with the log-rank test was performed for survival analysis. Multivariate Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for OS and CSS. Statistical analysis was performed using SAS 9.2 software (SAS Institute Inc.). Two-tailed P values less than 0.05 were considered statistically significant.

Results

A total of 248 GB-NEN cases from the SEER database diagnosed between 2004 and 2015 were included in this study. The general demographic characteristics of patients are shown in Table 1. The majority of GB-NEN patients were 65 years of age or younger (52.8%), women (67.3%), white (77%), married (61.7%), and diagnosed in 2012–2015 period of time (42.2%). Among the 248 GB-NEN cases, there were 88 cases with neuroendocrine carcinoma, 70 cases with carcinoid tumor, 60 cases with SCC, 21 cases with LCNEC, 8 cases with MANEC and 1 case with an atypical carcinoid tumor.
Table 1

General characteristics of gallbladder neuroendocrine neoplasm patients.

VariablesTotal patients, n (%)LCNECSCCCarcinoid tumorNeuroendocrine carcinomaMANECAtypical carcinoid tumor
Age at diagnosis, years
 ≤65131 (52.8)7 (33.3)30 (50.0)51 (72.9)38 (43.2)4 (50.0)1 (100.0)
 >65117 (47.2)14 (66.7)30 (50.0)19 (27.1)50 (56.8)4 (50.0)0
Gender
 Male81 (32.7)10 (47.6)17 (28.3)29 (41.4)23 (26.1)2 (25.0)0
 Female167 (67.3)11 (52.4)43 (71.7)41 (58.6)65 (73.9)6 (75.0)1 (100.0)
Race
 White191 (77.0)17 (81.0)47 (78.3)55 (78.6)64 (72.7)7 (87.5)1 (100.0)
 Black37 (14.9)2 (9.5)11 (18.3)12 (17.1)11 (12.5)1 (12.5)0
 Asian/American Indian20 (8.1)2 (9.5)2 (3.3)3 (4.3)13 (14.8)00
Marital status
 Married153 (61.7)19 (90.5)32 (53.3)46 (65.7)51 (58.0)5 (62.5)0
 Unmarrieda95 (38.3)2 (9.5)28 (46.7)24 (34.3)37 (42.0)3 (37.5)1 (100.0)
Year at diagnosis
 2004–200769 (27.8)2 (9.5)17 (28.3)25 (35.7)25 (28.4)00
 2008–201174 (29.8)6 (28.6)17 (28.3)24 (34.3)27 (30.7)00
 2012–2015105 (42.2)13 (61.9)26 (43.4)21 (30.0)36 (40.9)8 (100.0)1 (100.0)

aUnmarried included single, divorced, widowed, and separated.

LCNEC, large-cell neuroendocrine carcinoma; MANEC, mixed adenoneuroendocrine carcinoma; SCC, small-cell carcinoma.

General characteristics of gallbladder neuroendocrine neoplasm patients. aUnmarried included single, divorced, widowed, and separated. LCNEC, large-cell neuroendocrine carcinoma; MANEC, mixed adenoneuroendocrine carcinoma; SCC, small-cell carcinoma. The clinicopathological features are presented in Table 2. Where known, patients had a higher proportion of smaller tumor sizes (<2 cm) (31.0%) and G3 stage (25.8%). Regarding SEER stage, most cases were of distant stage (41.1%), followed by localized (31.5%) and regional stage (27.4%). An increased number of GB-NEN patients showed a lack of lymph node and tumor metastases. The majority of patients (70.6%) underwent primary site surgery, that is, gallbladder surgery. Only a small proportion of patients had lymph node surgery (24.6%).
Table 2

Clinicopathologic characteristics of gallbladder neuroendocrine neoplasm patients.

VariablesTotal patients, n (%)LCNECSCCCarcinoid tumorNeuroendocrine carcinomaMANECAtypical carcinoid tumor
Grade
 G131 (12.5)0024 (34.3)7 (8.0)00
 G25 (2.0)002 (2.9)3 (3.4)00
 G364 (25.8)8 (38.1)15 (25.0)037 (42.0)4 (50.0)0
 G438 (15.3)11 (52.4)10 (16.7)014 (15.9)3 (37.5)0
 Unknown110 (44.3)2 (9.5)35 (58.3)44 (62.8)37 (30.7)1 (12.5)1 (100.0)
N stage
 N0156 (62.9)14 (66.7)22 (36.7)67 (95.7)50 (56.8)2 (25.0)1 (100.0)
 N173 (29.4)4 (19.0)33 (55.0)2 (2.9)28 (31.8)6 (75.0)0
 Unknown19 (7.7)3 (14.3)5 (8.3)1 (1.4)10 (11.4)00
M stage
 M0160 (64.5)14 (66.7)25 (41.7)67 (95.7)48 (54.6)5 (62.5)1 (100.0)
 M188 (35.5)7 (33.3)35 (58.3)3 (4.3)40 (45.4)3 (37.5)0
Tumor size (cm)
 ≤277 (31.0)1 (4.8)6 (10.0)55 (78.6)14 (15.9)01 (100.0)
 2–547 (19.0)6 (28.6)15 (25.0)1 (1.4)20 (22.7)5 (62.5)0
 >546 (18.6)9 (42.8)15 (25.0)019 (21.6)3 (37.5)0
 Unknown78 (31.4)5 (23.8)24 (40.0)14 (20.0)35 (39.8)00
SEER stage
 Localized78 (31.5)2 (9.5)3 (5.0)62 (88.6)10 (11.4)01 (100.0)
 Regional68 (27.4)10 (47.6)18 (30.0)5 (7.1)30 (34.1)5 (62.5)0
 Distant102 (41.1)9 (42.9)39 (65.0)3 (4.3)48 (54.5)3 (37.5)0
Surgery at primary site
 No73 (29.4)5 (23.8)33 (55.0)1 (1.4)33 (37.5)1 (12.5)0
 Yes175 (70.6)16 (76.2)27 (45.0)69 (98.6)55 (62.5)7 (87.5)1 (100.0)
Surgery at other site
 No228 (91.9)16 (76.2)57 (95.0)68 (97.1)81 (92.0)5 (62.5)1 (100.0)
 Yes20 (8.1)5 (23.8)3 (5.0)2 (2.9)7 (8.0)3 (37.5)0
LN surgery
 No187 (75.4)16 (76.2)48 (80.0)55 (78.6)64 (72.7)3 (37.5)1 (100.0)
 Yes61 (24.6)5 (23.8)12 (20.0)15 (21.4)24 (27.3)5 (62.5)0

LCNEC, large-cell neuroendocrine carcinoma; MANEC, mixed adenoneuroendocrine carcinoma; SCC, small-cell carcinoma.

Clinicopathologic characteristics of gallbladder neuroendocrine neoplasm patients. LCNEC, large-cell neuroendocrine carcinoma; MANEC, mixed adenoneuroendocrine carcinoma; SCC, small-cell carcinoma. Survival analysis was performed using the Kaplan–Meier method for both CSS (Fig. 2) and OS (Fig. 3) based on SEER stage, pathological grade, tumor size, status of lymph node metastasis, status of tumor metastasis, and tumor histological type (GB-NEC, GB-NET). The survival time was similar for OS and CSS. Patients with G1/G2 tumors, no lymph node metastasis, no tumor metastasis and GB-NET had longer survival times than patients with G3/G4 tumors, lymph node metastasis, tumor metastasis and GB-NEC. With the increased severity of SEER stage, the survival rate of patients gradually decreased. Furthermore, patients with a smaller tumor size showed better survival outcome. All differences were statistically significant (P < 0.001). We also found that patients who received gallbladder surgery had a significantly better outcome in both CSS and OS (P < 0.001) (Fig. 4). Among the patients who had gallbladder surgery, we analyzed whether combined lymph node surgery had an effect on survival. However, no increasing survival time was found in the combined treatment group compared with patients who only had gallbladder surgery.
Figure 2

Kaplan–Meier curves of cancer-specific survival according to SEER stage (A), grade (B), tumor size (C), lymph node metastasis (D), tumor metastasis (E), and histological type (F).

Figure 3

Kaplan–Meier curves of overall survival according to SEER stage (A), grade (B), tumor size (C), lymph node metastasis (D), tumor metastasis (E), and histology (F).

Figure 4

Kaplan–Meier curves of overall survival and cancer-specific survival according to surgery at the primary site (A and B) and lymph node dissection for surgical patients (C and D).

Kaplan–Meier curves of cancer-specific survival according to SEER stage (A), grade (B), tumor size (C), lymph node metastasis (D), tumor metastasis (E), and histological type (F). Kaplan–Meier curves of overall survival according to SEER stage (A), grade (B), tumor size (C), lymph node metastasis (D), tumor metastasis (E), and histology (F). Kaplan–Meier curves of overall survival and cancer-specific survival according to surgery at the primary site (A and B) and lymph node dissection for surgical patients (C and D). Multivariate Cox proportional hazard models were then used to analyze risk factors impacting the prognosis of GB-NEN patients (Table 3). Older age, unmarried status, primary tumors greater than 5 cm, and extensive SEER stage were regarded as significant risk factors for decreased OS. Similar risk factors were identified for decreased CSS. In addition, gallbladder surgery and a histological type of GB-NET were associated with prolonged OS and CSS, respectively.
Table 3

Multivariate cox proportional hazards regression analysis for gallbladder neuroendocrine neoplasm patients.

VariablesCancer-specific survivalOverall survival
HR (95% CI)PHR (95% CI)P
Age at diagnosis, years≤651.001.00
>651.65 (1.14–2.40)0.0081.78 (1.26–2.52)0.001
Marital statusMarried1.001.00
Unmarrieda1.89 (1.27–2.81)0.0021.91 (1.33–2.73)<0.001
Tumor size (cm)≤21.001.00
2–51.83 (0.84–4.01)0.1291.50 (0.79–2.84)0.215
>52.95 (1.37–6.39)0.0062.15 (1.13–4.09)0.020
Unknown4.84 (2.29–10.21)<0.0013.32 (1.82–6.06)<0.001
SEER stageLocalized1.001.00
Regional4.50 (1.62–12.49)0.0046.06 (3.05–12.06)<0.001
Distant9.42 (3.32–26.73)<0.00110.60 (5.15–21.82)<0.001
N stageN01.00NA
N11.03 (0.68–1.57)0.881
Unknown2.16 (1.19–3.91)0.011
Histological categorybGB-NEC1.00NA
GB-NET0.22 (0.06–0.86)0.030
Surgery at primary siteNoNA1.00
Yes0.58 (0.37–0.90)0.014

aUnmarried included single, divorced, widowed, and separated; bGB-NEC included neuroendocrine carcinoma, large-cell neuroendocrine carcinoma, small-cell carcinoma, and mixed adenoneuroendocrine carcinoma of the gallbladder and GB-NET included carcinoid tumors and atypical carcinoid tumors of the gallbladder. Bold indicates statistical significance.

Multivariate cox proportional hazards regression analysis for gallbladder neuroendocrine neoplasm patients. aUnmarried included single, divorced, widowed, and separated; bGB-NEC included neuroendocrine carcinoma, large-cell neuroendocrine carcinoma, small-cell carcinoma, and mixed adenoneuroendocrine carcinoma of the gallbladder and GB-NET included carcinoid tumors and atypical carcinoid tumors of the gallbladder. Bold indicates statistical significance.

Discussion

GB-NEN is a rare primary neoplasm of the gallbladder, accounting for 0.5% of all NEN cases and 2% of all GBC cases (6, 7). For example, a study of 435 GBC patients included only 13 GB-NEN cases (3%) (10). Given that only case reports of a small sample of GB-NEN cases have been published, the biological behavior and survival prognosis of GB-NEN cases have remained unclear. We used data from the SEER database to explore the clinicopathological features and survival of GB-NEN. Joel et al. reported the first GB-NEN case in 1929 (7). A retrospective study of 25 GB-NEN patients found that the mean age was 64 years old (ranging from 40 to 71 years) and 68% of the cases were women (11). In a single-center GB-NEN study of ten patients, the average age was 59 years, and eight cases were in women (8). Of the 248 patients included in the study, female patients accounted for a higher proportion. The majority of the cases was of white ethnicity and married social status. A few case reports have been published on the different histologic types of GB-NEN, including neuroendocrine carcinoma, LCNEC, SCC, MANEC, carcinoid tumors, and atypical carcinoid tumors (12, 13, 14, 15, 16, 17, 18, 19). A previous study of GB-NEN cases from the SEER database between 2000 and 2005 reported that among 105 GB-NEN cases, 1% were LCNEC, 30.5% were SCC, 32.4% were carcinoid tumors, 34.3% were neuroendocrine carcinoma, and 1.9% were MANEC (7). In this study, among the 248 GB-NEN cases included between 2004 and 2015, 8.5% were LCNEC, 24.2% were SCC, 28.2% were carcinoid tumors, 35.5% were neuroendocrine carcinoma, and 3.2% were MANEC. Neuroendocrine carcinoma and carcinoid tumors were more common than other types of GB-NEN. SCC and LCNEC are poorly differentiated neuroendocrine carcinoma types and SCC cases are more frequently observed than LCNEC. For example, one report analyzed the clinicopathological characteristics of 36 SCC cases (20). However, only eight LCNEC cases of GB-NEN were reported from 2001 to 2016 (13). In a previous study on GB-NEN between 1973 and 2005, 2.4, 7.3, 26.3, and 63.4% of cases were classified as G1, G2, G3, and G4, respectively (7). While in our study, 22.5% were G1, 3.6% were G2, 46.4% were G3, and 27.5% were G4, indicating a marked increase in G1 cases and a significantly reduced number of G4 cases compared with the previous study. We also found that the number of diagnosed GB-NEN cases increased in more recent years. Among the total patient group, 27.8, 29.8, and 42.2% of cases were diagnosed during 2004–2007, 2008–2011, and 2012–2015, respectively. This trend may result from the increased awareness of physical examination and the advancement of examination technology, such as X-ray computed tomography, magnetic resonance imaging, and PET-CT. With the improvements in diagnostic ability, more GB-NEN cases of early grade (G1 and G2) tumors are being detected. Several studies have examined the risk factors for the prognosis of NEN at various sites. Cao et al. found that age, sex, T stage, M stage, and histological type were independent prognostic factors for gastric NEN (21). Zhang et al. showed that lymph node metastasis and distant metastasis were independent predictors of OS for NEN of the gastroesophageal junction (22). Lee et al. identified 43 patients with biliary NEN, including 11 GB-NEN cases, and the only factor related to poor prognosis was G3 staging according to the WHO classification (9). Copy number variations of somatic SNVs and small insertions and deletions in primary and metastatic GB-NEN tissues were identified by whole-genome sequencing, which could be valuable prognostic factors or indicators of the treatment response (23). However, to the best of our knowledge, no study has examined the survival prognosis for GB-NEN. In this study, the Kaplan–Meier method and multivariate Cox proportional hazard models were performed to evaluate the predictors of survival for GB-NEN. Advanced SEER stage, aggressive grade, increased tumor size, lymph node metastasis, and distant metastasis were statistically significantly related to decreased survival time. In addition, older age, unmarried status, primary tumors greater than 5 cm, and progressive SEER stage were regarded as independent significant risk factors for survival. Gallbladder surgery was a significant factor for OS. GB-NET was a risk factor for decreased cancer-specific survival time. The prognosis is different between neuroendocrine carcinoma and neuroendocrine tumor (5); this was taken into consideration in the Kaplan–Meier method and multivariate analysis. It was found that the classification GB-NET was associated with a better survival outcome. The classification GB-NET was also a factor for increased cancer-specific survival time. These predictors will be useful for physicians to estimate the prognosis for GB-NEN patients. Surgery is currently considered the most important method to treat GB-NEN. The lesion can be removed by surgery and can be examined to define the histological type and provide clinical characteristics for postoperative treatment. Because there are few reports on the biological characteristics and clinicopathological features of GB-NEN, there are currently no standardized surgical strategies and guidelines for GB-NEN. However, radical surgery results in a significant improvement in the prognosis of GBC (24, 25), which can provide a reference for the treatment of GB-NEN. For carcinomas confined to the mucosa, cholecystectomy can be performed. For progressive tumors without distant metastasis, radical resection of the gallbladder, peripheral lymph node dissection, and partial hepatectomy are recommended. For cases that cannot be cured by surgery, patient quality of life can be improved by palliative surgery. In addition, preoperative comprehensive treatment can be used to reduce the tumor burden and to actively seek surgical treatments (24). In this study, we found that patients undergoing gallbladder surgery had better survival than patients without surgical treatment. However, among cases that received gallbladder surgery, the further addition of lymph node surgery had no effect on survival. A previous study on pancreatic NEN also showed that extended lymphadenectomy was not associated with better OS (26). This study has several limitations. First, data on patient postoperative complications, recurrence and neoadjuvant chemotherapy are not available to the public in the SEER database. Because these factors may affect the prognosis of GB-NEN, the predictive model in this study should be modified if these factors are available. Second, although this study contained the largest number of GB-NEN patients to date, GB-NEN studies of larger sample size are needed to confirm our findings. In future research on GB-NEN, stratification analysis may be used to further analyze the prognostic factors. In addition, the information in the SEER database comes from various registries. Notably, SEER quality improvement methods have been developed using appropriate statistical procedures that provide measures to evaluate the performance of SEER registries. In conclusion, we found that age, marital status, tumor size, and SEER stage are predictors for the survival of GB-NEN patients. Surgical treatment of gallbladder tumors is associated with increased survival time, but surgery combined with lymphadenectomy has no effect on survival outcomes.

Declaration of interest

The authors declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.

Funding

This work was supported by Zhejiang Public Welfare Technology Research Project (LGF18H160011, China); Zhejiang Provincial Natural Science Foundation of China (LQ17H260001, LQ19H160026, LY19H200004); and National Natural Science Foundation of China (No. 81602623).
  26 in total

1.  Gallbladder cancer (GBC): 10-year experience at Memorial Sloan-Kettering Cancer Centre (MSKCC).

Authors:  A Duffy; M Capanu; G K Abou-Alfa; D Huitzil; W Jarnagin; Y Fong; M D'Angelica; R P Dematteo; L H Blumgart; E M O'Reilly
Journal:  J Surg Oncol       Date:  2008-12-01       Impact factor: 3.454

2.  Whole-genome sequencing reveals the mutational landscape of metastatic small-cell gallbladder neuroendocrine carcinoma (GB-SCNEC).

Authors:  Maolan Li; Fatao Liu; Yijian Zhang; Xiangsong Wu; Wenguang Wu; Xu-An Wang; Shuai Zhao; Shibo Liu; Haibin Liang; Fei Zhang; Qiang Ma; Shanshan Xiang; Huaifeng Li; Lin Jiang; Yunping Hu; Wei Gong; Yun Zhang; Tieliang Ma; Kai Zhang; Yun Liu; Yingbin Liu
Journal:  Cancer Lett       Date:  2016-12-29       Impact factor: 8.679

3.  Incidence and survival trends for gastric neuroendocrine neoplasms: An analysis of 3523 patients in the SEER database.

Authors:  Long-Long Cao; Jun Lu; Jian-Xian Lin; Chao-Hui Zheng; Ping Li; Jian-Wei Xie; Jia-Bin Wang; Qi-Yue Chen; Mi Lin; Ru-Hong Tu; Chang-Ming Huang
Journal:  Eur J Surg Oncol       Date:  2018-01-31       Impact factor: 4.424

Review 4.  One hundred years after "carcinoid": epidemiology of and prognostic factors for neuroendocrine tumors in 35,825 cases in the United States.

Authors:  James C Yao; Manal Hassan; Alexandria Phan; Cecile Dagohoy; Colleen Leary; Jeannette E Mares; Eddie K Abdalla; Jason B Fleming; Jean-Nicolas Vauthey; Asif Rashid; Douglas B Evans
Journal:  J Clin Oncol       Date:  2008-06-20       Impact factor: 44.544

Review 5.  Carcinoid tumour of the gall bladder: two case reports and a review of published works.

Authors:  D J Deehan; S D Heys; N Kernohan; O Eremin
Journal:  Gut       Date:  1993-09       Impact factor: 23.059

6.  Gallbladder neuroendocrine carcinoma: report of 10 cases and comparision of clinicopathologic features with gallbladder adenocarcinoma.

Authors:  Chen Chen; Lin Wang; Xi Liu; Guanjun Zhang; Yaling Zhao; Zhimin Geng
Journal:  Int J Clin Exp Pathol       Date:  2015-07-01

Review 7.  Gastroenteropancreatic Neuroendocrine Tumors.

Authors:  Mauro Cives; Jonathan R Strosberg
Journal:  CA Cancer J Clin       Date:  2018-10-08       Impact factor: 508.702

8.  Trends in the Incidence, Prevalence, and Survival Outcomes in Patients With Neuroendocrine Tumors in the United States.

Authors:  Arvind Dasari; Chan Shen; Daniel Halperin; Bo Zhao; Shouhao Zhou; Ying Xu; Tina Shih; James C Yao
Journal:  JAMA Oncol       Date:  2017-10-01       Impact factor: 31.777

9.  Clinicopathological features and outcome for neuroendocrine neoplasms of gastroesophageal junction: A population-based study.

Authors:  Panpan Zhang; Wei Wang; Ming Lu; Changqing Zeng; Jie Chen; Enxiao Li; Huangying Tan; Wei Wang; Xianjun Yu; Qiyun Tang; Jiemin Zhao; Lin Shen; Jie Li
Journal:  Cancer Med       Date:  2018-07-31       Impact factor: 4.452

10.  A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal.

Authors:  Guido Rindi; David S Klimstra; Behnoush Abedi-Ardekani; Sylvia L Asa; Frederik T Bosman; Elisabeth Brambilla; Klaus J Busam; Ronald R de Krijger; Manfred Dietel; Adel K El-Naggar; Lynnette Fernandez-Cuesta; Günter Klöppel; W Glenn McCluggage; Holger Moch; Hiroko Ohgaki; Emad A Rakha; Nicholas S Reed; Brian A Rous; Hironobu Sasano; Aldo Scarpa; Jean-Yves Scoazec; William D Travis; Giovanni Tallini; Jacqueline Trouillas; J Han van Krieken; Ian A Cree
Journal:  Mod Pathol       Date:  2018-08-23       Impact factor: 7.842

View more
  3 in total

1.  Comprehensive Clinical Analysis of Gallbladder Neuroendocrine Neoplasms: A Large-Volume Multicenter Study During One Decade.

Authors:  Yangyang Wang; Bingfeng Huang; Qihan Fu; Jianing Wang; Mao Ye; Manyi Hu; Kai Qu; Kai Liu; Xiao Hu; Shumei Wei; Ke Sun; Wenbo Xiao; Bo Zhang; Haijun Li; Jingsong Li; Qi Zhang; Tingbo Liang
Journal:  Ann Surg Oncol       Date:  2022-07-18       Impact factor: 4.339

2.  Update in clinical management for gallbladder neuroendocrine carcinoma.

Authors:  Hongwu Chu; Ying Shi; Junwei Liu; Dongsheng Huang; Jungang Zhang; Changwei Dou
Journal:  Medicine (Baltimore)       Date:  2021-04-09       Impact factor: 1.817

3.  Biliary Neuroendocrine Neoplasms: Analysis of Prognostic Factors and Development and Validation of a Nomogram.

Authors:  Shengnan Zhou; Shitao Jiang; Weijie Chen; Haixin Yin; Liangbo Dong; Hao Zhao; Shaoqi Han; Xiaodong He
Journal:  Front Oncol       Date:  2021-07-19       Impact factor: 6.244

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.