Literature DB >> 28705205

Clinicopathological features and prognosis of gastroenteropancreatic neuroendocrine neoplasms in a Chinese population: a large, retrospective single-centre study.

Meng Zhang1, Ping Zhao1, Xiaodan Shi1, Ahong Zhao2, Lianfeng Zhang1, Lin Zhou3.   

Abstract

BACKGROUND: Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are the most common type of neuroendocrine tumors, accounting for more than half of neuroendocrine neoplasms (NENs). We performed a retrospective study in our center to investigate the clinicopathological features, risk factors of metastasis, and prognosis of GEP-NENs in a Chinese population.
METHODS: Four hundred forty patients with GEP-NENs treated at the First Affiliated Hospital of Zhengzhou University between January 2011 and March 2016 were analyzed retrospectively. Multivariate logistic regression was performed to identify independent risk factors for metastasis of the tumors. The Kaplan-Meier method was used for survival analysis, and log-rank tests for comparisons among groups.
RESULTS: Primary sites were the stomach (24.3%), rectum (24.1%), pancreas (20.5%), esophagus (12.3%), unknown primary origin (UPO-NEN) (8.0%), duodenum (6.1%). Three hundred eighty-nine of the 440 GEP-NENs cases (88.4%) were non-functional tumors, and patients had non-specific symptoms, which could have led to delay in diagnosis and treatment. Neuroendocrine tumor, neuroendocrine carcinoma, and mixed adenoendocrine carcinoma were 56.8%, 33.2% and 3.2%, respectively, of the cases. One hundred thirty (29.5%) of the tumors were G1, 120 (27.3%) G2, and 190 (43.2%) G3. The immunohistochemical positive rate of synaptophysin was 97.7% and of chromogranin 48.7%. Logistic regression analysis revealed that the diameter and pathological classification of tumors were the most important predictors for metastasis. The median survival time was 34 months for patients with well-differentiated neuroendocrine tumors grade G3 and 11 months for poorly differentiated neuroendocrine carcinoma. The median survival time of patients with localized disease, regional disease, and distant disease was 36 months, 15 month, and 6 months, respectively.
CONCLUSIONS: This study constitutes a comprehensive analysis of the clinicopathological features of GEP-NENs in a Chinese population. GEP-NENs may occur at any part of the digestive system. The diameter and pathological classification of tumor are the most important predictors for metastasis. The prognosis is poor for patients with poorly differentiated neuroendocrine cancers and distant metastases.

Entities:  

Keywords:  Carcinoid tumor; Gastrinoma; Gastro enteropancreatic neuroendocrine tumors; Islet cell tumor; Neuroendocrine cancers; Neuroendocrine neoplasms; Neuroendocrine tumors

Mesh:

Year:  2017        PMID: 28705205      PMCID: PMC5508659          DOI: 10.1186/s12902-017-0190-6

Source DB:  PubMed          Journal:  BMC Endocr Disord        ISSN: 1472-6823            Impact factor:   2.763


Background

Neuroendocrine neoplasms (NENs), which originate from neuroendocrine cells, comprise a heterogeneous family with a broad spectrum of clinical behavior [1]. The neoplasms occur in diverse sites throughout the body, and more than half are gastroenteropancreatic NENs (GEP-NENs) [2]. According to the Surveillance, Epidemiology, End Results database (SEER), which has the largest epidemiologic series, the incidence of NENs has risen substantially over the past 30 years [2]. Although the prevalence of GEP-NENs seems to be increasing in China, there is no accurate database of the characteristics of GEP- NENs in Chinese patients. In 2010, the World Health Organization [3] proposed a new classification of NENs, with comparisons of clinical, pathological, therapeutic, and prognostic factors. In western countries, the epidemiology, treatment, and survival rates of NENs have been well-studied [1, 2], but comparable information in Asian populations is limited [4, 5]. In order to investigate the clinical pathological characteristics, risk factors of metastasis, and prognosis of NENs in a Chinese population, we performed a comprehensive retrospective review of the recent 5-year experience with this disease in our center.

Methods

Patients

The study was conducted on 440 patients from the First Affiliated Hospital of Zhengzhou University between January 2011 and March 2016. The study was approved by the hospital’s Ethics Committee, and informed consent was obtained from all patients. All patients had received a pathological diagnosis of GEP-NENs according to the World Health Organization classification [3] and the China Consensus Guideline [6]. Collected information consisted of clinical characteristics (gender, age, location of tumors, and symptoms); diagnostic procedures (endoscopic and radiographic); tumor characteristics (size, grading, histopathology of primary tumor, metastases); treatments; and follow-up. The pathological diagnosis of the NENs depended on typical morphological findings and immunohistochemical staining of chromogranin (CgA) and/or synaptophysin (Syn) [7]. Grading was based on morphological criteria and tumor proliferative activity. According to the Ki-67 index, the grading was G1, G2 and G3 ≤ 2%, 3 ~ 20%, >20%, respectively. Similarly, tumors with mitotic rates of less than two in 10 high-power fields (HPF) were classified as G1, 2 ~ 20/HPF as G2, and >20/HPF as G3. If the grading of the Ki-67 index differed from that of the mitotic rate, the higher of the two was given priority. Therefore, GEP-NENs were classified as neuroendocrine tumor (NET) (G1 and G2), neuroendocrine carcinoma (NEC) (G3), and mixed adenoendocrine carcinoma (MANEC) (G3) [3, 4]. The well-differentiated G3 NENs (Ki-67 positive index >20%; generally less than 60%) were classified as well-differentiated NET (NET G3) [8, 9].

Statistical analysis

All statistical analyses were performed using SPSS 17.0 for Windows (IBM Corporation. Armonk, NY, USA). Normally distributed continuous variables were expressed as mean and standard deviation, and statistical differences between groups were assessed with the independent samples t-tests. Differences in categorical variables were compared with chi-square test or Fisher ‘s exact test. Multivariate logistic regression was performed to identify independent risk factors for tumor metastasis. Overall survival was defined as the time from diagnosis to death or, in living patients, the time to last follow-up. Survival curves were drawn according to the Kaplan-Meier method, and differences between subgroups were assessed with the log-rank test. P-values<0.05 were considered statistically significant.

Results

Clinical features

Among the 440 patients with GEP-NENs, 259 (58.9%) were men and 181 (41.1%) were women; the male to female ratio was 1.43. Ages ranged from 9 to 86 years, and the mean age was (54.3 ± 13.5) years. The mean age of men was (55.5 ± 13.5), women was (52.7 ± 13.3). The most common tumor site was the stomach (24.3%, 107/440), followed by the rectum (24.1%, 106/440), pancreas (20.5%, 90/440), esophagus (12.3%, 54/440), unknown primary origin (UPO-NEN) (8.0%, 35/440), duodenum (6.1%, 27/440), and other sites: appendix, jejunum/ileum, and colon (4.7%, 21/440). Non-functional tumors comprised the majority of GEP-NENs (389/440, 88.4%); the other 51 (11.6%) were functional. The most frequent initial presentation was abdominal pain (101/440, 23%), which was not specific for the diagnosis of tumor, followed by dysphagia (45/440, 10.2%), bleeding (38/440, 8.6%), diarrhea (19/440, 4.3%), jaundice (16/440, 3.6%), and abdominal distention. Forty-one (9.3%) cases were found during routine physical examination. Insulinoma comprised 90.2% (46/51) of functional tumors, all of which were located in the pancreas, and typical symptoms were those of hypoglycemia and epileptic seizure. Seven patients with insulinoma were treated as epilepsy before the diagnosis of NENs, and 2 cases were initially treated as psychiatric disorders. The other functional tumors were gastrinoma (3/51, 5.9%) and glucagonoma (2/51, 3.9%), expressed as multiple refractory peptic ulcer, diarrhea, secondary diabetes mellitus and cutaneous erythema. There was no patient presented with carcinoid syndrome in our study.

Imaging studies

The results of imaging examinations are summarized in Table 1. All imaging examinations can be found in any grade of tumors. Endoscopy, endoscopic ultrasound (EUS) and positron emission computed tomography imaging (PET-CT, using with 18F-FDG) were positive in >90% of cases. Magnetic resonance imaging was the least often positive (79.5%). But MRI and PET-CT, was performed in only about 10% of patients, respectively. MRI is mainly used for the detection of pancreatic and liver tumors and PET-CT for tumors in any part of the digestive system. EUS was performed on 41 patients, of which a lesion was found in 38 patients. At endoscopy, which is used for the detection of gastrointestinal tract tumors, the GEP-NENs usually appeared as ulcers or polypoid prominences. Ultrasound and endoscopic ultrasound (EUS) usually revealed the GEP-NENs as hypoechoic and well-vascularized masses. By computed tomography (CT) and magnatic resonance imaging (MRI), the tumors appeared as local space-occupying lesions, with heterogeneous enhancement on contrast-enhanced CT. PET-CT usually revealed high glucose metabolism in GEP-NENs, especially in poorly differentiated NENs. Seven tumors, initially identified in the liver, were found located in the pancreas by EUS-guided fine-needle biopsy.
Table 1

Characteristics of imaging studies

Imaging studySiteCases tested (n)Positive tests
n%
Endoscopygastrointestinal22622499.1%
EUSpancreas, duodenum, stomach413892.7%
Ultrasoundpancreas, liver, biliary tree16514386.7%
CT scanall of above32127485.4%
MRIpancreas, liver393179.5%
FDG PET-CTall of above292793.1%

EUS endoscopic ultrasonography, CT computed tomography, MRI magnetic resonance imaging, FDG PET-CT fluorodeoxyglucose positron emission computed tomography imaging

Characteristics of imaging studies EUS endoscopic ultrasonography, CT computed tomography, MRI magnetic resonance imaging, FDG PET-CT fluorodeoxyglucose positron emission computed tomography imaging

Histopathologic characteristics

The histopathologic characteristics (size, World Health Organization 2010 classification, and metastases) of the 440 GEP-NENs are given in Table 2. The most common tumor type was NET (250, 56.8%), followed by NEC (146, 33.2%) and MANEC (14, 3.2%); the other 30 cases of G3 were classified as NET G3. Local infiltration and lymphatic metastasis occurred in 63% (277/440) and 12.3% (54/440) of patients, respectively. Distant metastases were found in 90 (20.5%) patients at initial diagnosis; during follow-up, the number increased to 109 (24.8%). Distant metastases were present at initial diagnosis in 38.4% (73/190) of patients with G3 tumors. The most frequent site of distant metastasis was liver (67/109, 61.5%), followed by peritoneum (18.3%, 20/109), lung (10.1%, 11/109) and bone (6.4%, 7/109). Among the 67 patients with liver metastases, 55 presented with synchronous lesions and 12 with metachronous lesions during follow-up. The positive rates of immunohistochemistry of Syn and CgA were 97.7% (416/426) and 48.7% (135/277, respectively.
Table 2

Histopathological characteristics of the GEP-NENs (n = 440)

StomachEsophagusDuodenumJejunum/ileumColonAppendixRectumUPO-NENPancreasTotal
n = 107 n = 54 n = 27 n = 8 n = 5 n = 8 n = 106 n = 35 n = 90 n = 440(%)
Size
 <2 cm2451510367437156(35.5)
 2 ~ 4 cm12103200261651(11.6)
 >4 cm31123321181172(16.4)
 Unclear40276234361726161(36.6)
WHO2010
 G1170611570327130(29.5)
 G22111120226750120(27.3)
 G3695310541102513190(43.2)
Metastases
 Local431618428941973277(63)
 Loco-regional2814121034154(12.3)
 Distant3624822091216109(24.8)
Histopathological characteristics of the GEP-NENs (n = 440) The clinicopathologic characteristics related to metastasis were listed in Table 3. The risk factors of GEP-NENs metastases were then analyzed by the logistic regression method. Multivariate logistic regression analysis revealed that the diameter and pathological classification of tumors were the most important predictors for metastasis (Table 4).
Table 3

Clinicopathological characteristics related to metastasis

Pathologic characteristicsTotalMetastasisNon-metastasis χ 2 P
Sex
 Male259112(43.2%)147(56.8%)10.370<0.01
 Female18151(28.2%)130(71.8%)
Age
  ≤ 5015833 (20.9%)125 (79.1%)27.602<0.01
 >50282130 (46.1%)152 (53.9%)
Site
 Stomach10764(59.8%)43(40.2%)67.249<0.01
 Rectum10612(11.3%)94(88.7%)
 Pancreas9017(18.9%)73(81.1%)
Functional status
 Functional512 (3.9%)49 (96.1%)25.556<0.01
 Nonfunctional389161 (41.4%)228 (58.6%)
Tumor diameter
  ≤ 2 cm15614(9.0%)142(91.0%)80.879<0.01
 2-4 cm5123(45.1%)28(54.9%)
  ≥ 4 cm7247(65.3%)25(34.7%)
Tumor grading
 G11304(3.1%)126(96.9%)182.475<0.01
 G212022(18.3%)98(81.7%)
 G3190137(72.1%)53(27.9%)
Tumor type
 NET25026(10.4%)224(89.6%)182.746<0.01
 NEC146113(77.4%)33(22.6%)
 MANEC148 (57.1%)6 (42.9%)
Table 4

The logistic regression for the relationship between the clinicopathological characteristics and metastasis

VariableCoefficientStandard ErrorWald χ 2 P Odds ratio95%CI
Tumor diameter0.7900.23910.9090.0012.2031.3793.521
Grading1.9980.32637.510<0.017.3733.89013.974
Constant−6.8870.81172.106<0.010.001----
Clinicopathological characteristics related to metastasis The logistic regression for the relationship between the clinicopathological characteristics and metastasis

Therapeutic interventions

About two-thirds of the patients (62.5%; 275/440) underwent an operation with curative intent or palliation; 50 patients were treated with endoscopic radical surgery, mainly for rectal lesions. Seventy-three patients received chemotherapy, 34 of whom received postoperative adjuvant chemotherapy. The combination of cisplatin and etoposide was the most widely used chemotherapeutic agents. Six patients received octreotide, a somatostatin analogue, as a biological therapy combined with surgery or chemotherapy. Local-regional therapies, such as transcatheter hepatic arterial chemoembolization, radiofrequency, or other ablative techniques were used in eight patients.

Survival and prognostic factors

Four hundred fourteen of the 440 patients were followed for periods of 3–60 months. Due to the short follow-up time and a low number of deaths in NET (G1 and G2) patients, median survival time was not obtained for them during the observation period. The 1-, 3- and 5- year survival rates of all patients were 78.7%, 60.8% and 54.5, respectively. The 1-, 3- and 5- year survival rates of patients with G3 lesions were 54.3%, 19.4% and 7.8%, respectively. The major causes of death were tumor-related complications (82.7%), treatment-related adverse events (13.4%), and other diseases (3.9%). For patients with G3 NENs, age, gender, primary tumor site, differentiation, and characterization of metastasis were analyzed in order to identify prognostic factors for survival (Table 5). Univariate analysis confirmed that patients with NET G3 and patients without regional or distant metastasis survived longer than did other patients with NENs G3, but age, gender, and primary tumor site had no discernable impact on overall survival. Median overall survival among all the patients with G3 NENs was 13.0 months, and survival was significantly longer for these patients (median 34 months) than for those with NEC (median 11 months). Median overall survival of patients with localized G3 NENs was 36 months, 15 months for patients with regional disease, and 6 months for patients with distant disease. Survival curves are displayed in Fig. 1, a-f.
Table 5

Overall survivals of G3-NENs

FactorsOverall survival
NumberMean(months)95%CI χ 2 P
All patients1801310.9-15.1
Sex2.3860.122
 Male1231411.7-16.3
 Female57116.4-15.6
Age0.4660.495
  ≤ 50321611.2-20.8
 >501481311.0-15.0
Site0.5200.771
 Gastrointestinal tract14313.511.8-15.2
 Pancreas1385.0-11.0
 Others24122.9-21.1
Differentiation9.1860.002
 NEC137118.5-13.5
 NET G3303410.7-57.3
Metastasis85.3050.000
 Local483625.9-46.1
 Loco-reginal451513.9-16.2
 Distant7164.7-7.3
Fig. 1

Kaplan-Meier analysis of overall survival. a Overall survival by histological grading. b Overall survival by age of of patients with G3 tumors. c Overall survival by sex of patient with G3 tumors. d Overall survival by site of G3 tumors. e Overall survival by differentiation of G3 tumors. f Overall survival by characteristics of metastasis of G3 tumors

Overall survivals of G3-NENs Kaplan-Meier analysis of overall survival. a Overall survival by histological grading. b Overall survival by age of of patients with G3 tumors. c Overall survival by sex of patient with G3 tumors. d Overall survival by site of G3 tumors. e Overall survival by differentiation of G3 tumors. f Overall survival by characteristics of metastasis of G3 tumors

Discussion

This retrospective study explored the clinicopathological characteristics, risk factors of metastasis, treatment, and prognosis of GEP-NENs in a relatively large population of Chinese patients. Tumors located at any possible site within the digestive system were analyzed. In addition, the NENs G3 were classified as NET G3 (well-differentiated NET with a G3 grading) or NEC, and the prognoses of these were compared. The study will contribute to establishing a database of the epidemiology, clinical pathological features, treatment, and prognosis of GEP-NENs in Chinese or Asian patients. It also will permit comparisons between GEP-NENS in these populations and those in western nations. As others have reported [2], we found that most NENs are present in the gastrointestinal tract. The distribution of GEP-NENs in our population (stomach > rectum > pancreas > duodenum) was similar to that found in Korean [10], Japanese [11], and other Chinese populations [4, 12, 13]. A large-scale analysis of GEP-NENs in the SEER database from the United States in North America found that the rectum and jejunum/ileum were the most common sites for NENs [2]. Ethnic, regional and sample-size differences may lead to differences in the reported distribution of the primary sites of GEP-NENs. NENs can be classified as functional and non-functional tumors according to the presence or absence of symptoms associated with hormone overproduction [14]. In this study, the majority of tumors were non-functional, which may have led to misdiagnosis or delay in making the diagnosis and treating the patients promptly. The study found also that insulinoma comprised the largest number of functional NENs and accounted for about one-half of all NENs. None of the patients presented with carcinoid syndrome due to overproduction of 5-hydroxytryptamine, a finding similar to a low reported frequency of these tumors in Asian populations [4, 12, 13]. However, the incidence of carcinoid syndrome (11.5% to 31.1%) in the Western population is relatively high [15-17]. Carcinoid syndrome occurs mainly in the neuroendocrine neoplasms of jejunum/ileum. In the western population, the proportion of neuroendocrine neoplasms of jejunum/ileum is high, which is only 1.8% in our study. These data also indicated that functional NENs were mainly located in the pancreas, and the gastrointestinal neuroendocrine neoplasms were mainly non-functional. Several studies have used serum CgA as a circulating biomarker of GEP-NENs, with sensitivity and specificity rates in the range of 60% to 100% [18]. Serum CgA was mot measured in our series, but we favor measuring it since it is a simple screening test and can shorten the time needed to make the diagnosis of a NEN. Since non-functional GEP-NENs in the early stage often have no specific symptoms, imaging examinations are especially important in locating the tumors and assessing their extent. CT scan was the most frequently used imaging modality, whereas endoscopy had the highest yield of tumor detection (99.1%). Because of its convenience and non-invasive nature, ultrasound was chosen as the first screening method for solid organs, where the detection rate was 87%. EUS provides unique advantages in evaluating the upper gastrointestinal tract and pancreas, especially for tumors less than 1.0 cm in diameter and micrometastases [19]. The 92.3% detection rate of GEP-NENs in our series is within the range (91.9% to 97.4%) reported by others [4, 13]. The most common primary site of metastatic liver NENs is the pancreas, so EUS-guided fine-needle biopsy of the pancreas in patients with metastatic liver NENs is helpful for early detection of the primary lesion. Somatostatin receptor scintigraphy is considered a comprehensive imaging modality for many neuroendocrine tumors [20, 21], but, unfortunately, this method is not available in our institution. The definitive diagnosis of GEP-NENs depends on the pathological analysis of biopsy, including cell morphology and immunohistochemical staining. The World Health Organization revised its nomenclature and classification of GEP-NENs in 2010 [3], and China reported its own classification system soon thereafter [6]. Rates of positive immunohistochemical staining for Syn (97.7%) and CgA (48.7%) in our series indicate that Syn has high sensitivity, and CgA has high specificity [22]. In our series, the rate of distant metastases (20.5% initially and 24.8% during follow-up) was modestly lower than the rate reported from Spain (44%) [23] but in the range reported from the United States (21%) [2] and in other Chinese series (10.4% to 23.0%) [4, 12, 13]. The liver was the most frequent site of metastatic tumors. The rate of distant metastases at diagnosis was high, which indicates that GEP-NENs, especially the non-functional tumors, were occult, a characteristic that could have led to delayed diagnosis and increased risk of metastasis. The rate of transfer factors of GEP-NENs was related to location of the primary tumors, with the metastasis rate of gastric NENs significantly higher than that of pancreatic or rectal tumors. The reported rate of metastasis of pancreatic NENs (69.2%) in a Western population [24] was higher than in our series (18.9%); the possible reasons for this difference could be differences in the ratio of non-functional to functional pancreatic NENS, with differences in time duration between onset of symptoms and diagnosis, or sample size. Also, we admit that the rate of missed diagnosis of pancreatic NENs in China may be high. Surgical treatment is the first choice for GEP-NENs, even if there are nodal or distant metastases. When possible, the primary tumor should be removed, lymph nodes dissected, and distant metastases excised [25]. In this study, 275 patients underwent surgical treatment, including radical surgery and palliative surgery, with 50 patients treated by endoscopy. Early diagnosis is crucial in order that resection can be performed before local invasion or distant disease occurs. Chemotherapy is the first treatment option for poorly differentiated or rapidly progressive, advanced GEP-NENs. In our series, as in other reports [26], the combination of cisplatin and etoposide was the most widely used chemotherapy regimen. Radiofrequency ablation, transcatheter hepatic arterial chemoembolization, or other ablative treatments, which can be used to treat liver lesions, were used in only 8 patients in our series, and only 6 patients were treated with biological therapy. Limited financial resources in our area may have contributed to the infrequent use of newer or experimental therapies for GEP-NENs such as peptide receptor radionuclide therapy and targeted agents. The prognosis of GEP-NENs is more favorable than that of adenocarcinomas of the digestive system. In our series, the overall 5-year survival rate was 54.5%, which is similar to that quoted the SEER registry and in Chinese data [2, 4], but lower than the rate in some Europe countries [23]. These differences may be due to the ethnic, regional, or simple-size differences. Due to the short follow-up time and a low number of deaths in NET (G1 and G2) patients, we did not determine median survival times during the observation period, and limited our survival estimates to patients with NENs G3; their 5-year survival rate was 7.8%, which is similar to rates of 6%–11% in European series [27]. Very few data comparing NET G3 and NEC are available [8, 9]. In our series, there was a significant difference in the survival time between the G3 NET and NEC (34 months vs 11 months), which are similar results to those of other series [9, 28, 29]. While most NENs G3 are poorly differentiated, a subgroup of well-differentiated NET with G3 grading is not reflected in the latest Word Health Organization classification. It has been suggested that these two high-grade cancers differ in prognosis, somatostatin receptor scintigraphy uptake and response to chemotherapy regimens [29, 30] and therefore should be classified separately. The small size of our series of NET G3 tumors precluded doing a multivariate analysis to estimate their independent prognostic factors; evaluation in a larger population of such tumors is needed. Unsurprisingly, we found that distant metastasis of GEP-NENs was associated with a poor outcome; thus, early diagnosis of the tumors is very important in improving patients’ prognosis.

Conclusions

The results of this study provide a comprehensive analysis of the clinicopathological features of GEP-NENs in a Chinese population. It was found that GEP-NENs may originate from any part of the digestive system, and the majority are non-functional tumors, whose early symptoms are occult, thus often resulting in delay in the diagnosis being made. Tumor diameter and classification are important factors in predicting metastasis. The prognosis of GEP-NENs is more favorable than that of gastrointestinal carcinomas, but the prognosis is poor for patients with high-grade poorly differentiated NEC and distant metastases. It is our hope that this extensive analysis of GEP-NENs will improve physicians’ knowledge of the tumors and result in earlier recognition and treatment for Chinese patients. And limited financial resources in our area may lead to the infrequent use of newer or experimental therapies for GEP-NENs. Perhaps this could be a probable explanation on poorer prognosis compared to Western data.
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1.  The high-grade (WHO G3) pancreatic neuroendocrine tumor category is morphologically and biologically heterogenous and includes both well differentiated and poorly differentiated neoplasms.

Authors:  Olca Basturk; Zhaohai Yang; Laura H Tang; Ralph H Hruban; Volkan Adsay; Chad M McCall; Alyssa M Krasinskas; Kee-Taek Jang; Wendy L Frankel; Serdar Balci; Carlie Sigel; David S Klimstra
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2.  Gastroenteropancreatic neuroendocrine tumors: incidence and treatment outcome in a single institution in Korea.

Authors:  Taekyu Lim; Jeeyun Lee; Jae J Kim; Jong Kyun Lee; Kyu Taek Lee; Young Ho Kim; Kwang-Won Kim; Sung Kim; Tae Sung Sohn; Dong Wook Choi; Seong Ho Choi; Ho-Kyung Chun; Woo Young Lee; Kyoung-Mee Kim; Kee-Taek Jang; Young Suk Park
Journal:  Asia Pac J Clin Oncol       Date:  2011-09       Impact factor: 2.601

Review 3.  [Chromogranin A and neuroendocrine tumors].

Authors:  José Ángel Díaz Pérez; Maria Currás Freixes
Journal:  Endocrinol Nutr       Date:  2012-12-25

4.  Pathology reporting of neuroendocrine tumors: application of the Delphic consensus process to the development of a minimum pathology data set.

Authors:  David S Klimstra; Irvin R Modlin; N Volkan Adsay; Runjan Chetty; Vikram Deshpande; Mithat Gönen; Robert T Jensen; Mark Kidd; Matthew H Kulke; Ricardo V Lloyd; Cesar Moran; Steven F Moss; Kjell Oberg; Dermot O'Toole; Guido Rindi; Marie E Robert; Saul Suster; Laura H Tang; Chin-Yuan Tzen; Mary Kay Washington; Betram Wiedenmann; James Yao
Journal:  Am J Surg Pathol       Date:  2010-03       Impact factor: 6.394

Review 5.  Incidence, patterns of care and prognostic factors for outcome of gastroenteropancreatic neuroendocrine tumors (GEP-NETs): results from the National Cancer Registry of Spain (RGETNE).

Authors:  R Garcia-Carbonero; J Capdevila; G Crespo-Herrero; J A Díaz-Pérez; M P Martínez Del Prado; V Alonso Orduña; I Sevilla-García; C Villabona-Artero; A Beguiristain-Gómez; M Llanos-Muñoz; M Marazuela; C Alvarez-Escola; D Castellano; E Vilar; P Jiménez-Fonseca; A Teulé; J Sastre-Valera; M Benavent-Viñuelas; A Monleon; R Salazar
Journal:  Ann Oncol       Date:  2010-02-05       Impact factor: 32.976

6.  Clinicopathological features and prognosis of gastroenteropancreatic neuroendocrine tumors: analysis from a single-institution.

Authors:  Yu-Jie Zeng; Lu Liu; Heng Wu; Wei Lai; Jie-Zhi Cao; He-Yang Xu; Jie Wang; Zhong-Hua Chu
Journal:  Asian Pac J Cancer Prev       Date:  2013

7.  Somatostatin receptor imaging with 68Ga DOTATATE PET/CT: clinical utility, normal patterns, pearls, and pitfalls in interpretation.

Authors:  Michael S Hofman; W F Eddie Lau; Rodney J Hicks
Journal:  Radiographics       Date:  2015 Mar-Apr       Impact factor: 5.333

Review 8.  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 9.  Somatostatin receptor PET/CT in neuroendocrine tumours: update on systematic review and meta-analysis.

Authors:  Håkan Geijer; Lars H Breimer
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10.  Are G3 ENETS neuroendocrine neoplasms heterogeneous?

Authors:  Fritz-Line Vélayoudom-Céphise; Pierre Duvillard; Lydia Foucan; Julien Hadoux; Cecile N Chougnet; Sophie Leboulleux; David Malka; Joël Guigay; Diane Goere; Thierry Debaere; Caroline Caramella; Martin Schlumberger; David Planchard; Dominique Elias; Michel Ducreux; Jean-Yves Scoazec; Eric Baudin
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Journal:  Int J Clin Exp Pathol       Date:  2022-05-15

2.  Survival and prognostic factors analysis of 151 intestinal and pancreatic neuroendocrine tumors: a single center experience.

Authors:  Fanny Foubert; Maëva Salimon; Clotilde Dumars; Nicolas Regenet; Paul Girot; Aurélien Venara; Hélène Senellart; Marie-Françoise Heymann; Tamara Matysiak-Budnik; Yann Touchefeu
Journal:  J Gastrointest Oncol       Date:  2019-02

3.  Value of computed tomography evaluation in pathologic classification and prognosis prediction of gastric neuroendocrine tumors.

Authors:  Shida Yan; Tongtong Liu; Ying Li; Yongjian Zhu; Jun Jiang; Liming Jiang; Hong Zhao
Journal:  Ann Transl Med       Date:  2019-10

4.  A novel and validated nomogram to predict overall survival for gastric neuroendocrine neoplasms.

Authors:  Sheng Zhang; Yi Xin Tong; Xin Hua Zhang; Yu Jie Zhang; Xiang Shang Xu; Ai Tang Xiao; Teng Fei Chao; Jian Ping Gong
Journal:  J Cancer       Date:  2019-10-15       Impact factor: 4.207

5.  Development and validation of a nomogram for predicting the overall survival of patients with gastroenteropancreatic neuroendocrine neoplasms.

Authors:  Si Xie; Lei Li; Xiaotong Wang; Lequn Li
Journal:  Medicine (Baltimore)       Date:  2021-01-15       Impact factor: 1.817

6.  Patterns of Lymph Node Metastasis in Patients With T1/T2 Gastroduodenal Neuroendocrine Neoplasms: Implications for Endoscopic Treatment.

Authors:  Yu-Jie Zhou; Qi-Wen Wang; Qing-Wei Zhang; Jin-Nan Chen; Xin-Yuan Wang; Yun-Jie Gao; Xiao-Bo Li
Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-28       Impact factor: 5.555

7.  Neuroendocrine carcinoma of the gastric stump: A case report and literature review.

Authors:  Fu-Hai Ma; Li-Yan Xue; Ying-Tai Chen; Yi-Bin Xie; Yu-Xin Zhong; Quan Xu; Yan-Tao Tian
Journal:  World J Gastroenterol       Date:  2018-01-28       Impact factor: 5.742

8.  Global burden of neuroendocrine tumors and changing incidence in Kentucky.

Authors:  Aman Chauhan; Qian Yu; Neha Ray; Zainab Farooqui; Bin Huang; Eric B Durbin; Thomas Tucker; Mark Evers; Susanne Arnold; Lowell B Anthony
Journal:  Oncotarget       Date:  2018-04-10

9.  LncNEN885 inhibits epithelial-mesenchymal transition by partially regulation of Wnt/β-catenin signalling in gastroenteropancreatic neuroendocrine neoplasms.

Authors:  Ya-Ling Wei; Jie Hua; Xiao-Yu Liu; Xiu-Mei Hua; Cheng Sun; Jian-An Bai; Qi-Yun Tang
Journal:  Cancer Sci       Date:  2018-08-18       Impact factor: 6.716

10.  Association between MGMT status and response to alkylating agents in patients with neuroendocrine neoplasms: a systematic review and meta-analysis.

Authors:  Zhirong Qi; Huangying Tan
Journal:  Biosci Rep       Date:  2020-03-27       Impact factor: 3.840

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