Literature DB >> 26668149

Impact and Clinical Predictors of Lymph Node Metastases in Nonfunctional Pancreatic Neuroendocrine Tumors.

Yu Jiang, Jia-Bin Jin, Qian Zhan, Xia-Xing Deng, Bai-Yong Shen1.   

Abstract

BACKGROUND: The optimal surgical management of nonfunctional pancreatic neuroendocrine tumors (NF-PNETs) is still controversial. Here, we evaluated the impact of lymph node status on postoperative recurrence in patients with NF-PNET and the potential of preoperative variables for predicting lymph node metastasis (LNM).
METHODS: In this mono-institutional retrospective cohort study conducted in 100 consecutive patients who underwent NF-PNET resection between January 2004 and December 2014, we evaluated risk factors for survival using the Kaplan-Meier method and the Cox regression model. Predictors of LNM were evaluated using the logistic regression model, and the power of predictive models was evaluated using receiver operating characteristic curve analysis.
RESULTS: Five-year disease-free survival of resected NF-PNET was 64.1%. LNM was independently associated with postoperative recurrence (hazard ratio = 3.995, P = 0.003). Multivariate analysis revealed tumor grade as an independent factor associated with LNM (G2 vs. G1: odds ratio [OR] =6.287, P = 0.008; G3 vs. G1: OR = 12.407, P = 0.001). When tumor grade was excluded, radiological tumor diameter >2.5 cm (OR = 5.430, P = 0.013) and presence of symptoms (OR = 3.366, P = 0.039) were significantly associated with LNM. Compared to neoplasms with radiological diameter >2.5 cm (32.1%), tumors ≤2.5 cm had an obviously lower risk of LNM (7.7%), indicating the reliability of this parameter in predicting LNM (area under the curve, 0.693). Incidentally discovered NF-PNETs ≤2.5 cm were associated with a low-risk of LNM and excellent survival.
CONCLUSIONS: LNM is significantly associated with postoperative recurrence. Radiological tumor diameter is a reliable predictor of LNM in NF-PNETs. Our results indicate that lymphadenectomy in small (≤2.5 cm) NF-PNETs is not routinely necessary.

Entities:  

Mesh:

Year:  2015        PMID: 26668149      PMCID: PMC4797510          DOI: 10.4103/0366-6999.171427

Source DB:  PubMed          Journal:  Chin Med J (Engl)        ISSN: 0366-6999            Impact factor:   2.628


INTRODUCTION

Pancreatic neuroendocrine tumors (PNETs) are a relatively rare and heterogeneous group of neoplasms comprising 1–2% of all pancreatic neoplasms and 2.6% of pancreatic cancers.[1234] Due to the widespread use of high-quality imaging techniques, the incidence of PNETs has remarkably increased from 0.17 to 0.43/100,000 over the past three decades in the United States.[25] Furthermore, autopsy studies indicate that the prevalence of PNETs may be even higher.[67] Depending on whether clinical symptoms are related to excessive secretion of endocrine hormones, PNETs are divided into functional and nonfunctional PNETs (NF-PNETs). NF-PNETs are defined by the absence of a hormone hypersecretion syndrome and account for approximately 90% of all PNETs.[8] NF tumors are asymptomatic or present with nonspecific symptoms related to local mass effect or metastatic disease[7] and are associated with a poorer prognosis than functional tumors, probably due to delayed diagnosis and higher malignant potential.[69] Compared to pancreatic ductal adenocarcinoma, NF-PNETs often have an indolent outcome but postoperative recurrence is not rare. Lymph node metastasis (LNM) is strictly correlated with survival in pancreatic ductal adenocarcinoma. Regarding NF-PNETs, lymph node status is regarded as an important prognostic factor in both the European Neuroendocrine Tumor Society (ENETS) TNM staging system and the American Joint Committee on Cancer (AJCC) cancer staging system.[1011] In current guidelines, indications for regional lymphadenectomy in NF-PNETs are not consistent. The National Comprehensive Cancer Network (NCCN) guidelines do not advocate routine lymphadenectomy in tumors <2 cm, while this procedure is recommended for tumors that are 1–2 cm because of the risk of LNM.[12] Moreover, previous reports have demonstrated that only 30–40% of patients with NF-PNETs present with LNM at diagnosis,[1314151617] which suggests the importance of preoperative recognition of patients at high-risk of LNM, who may benefit from regional lymphadenectomy. Therefore, the identification of reliable predictors of LNM is important in guiding clinical management decisions and avoiding an unnecessary lymphadenectomy in low-risk patients. The aims of this study were: (1) To evaluate the impact of LNM on postoperative recurrence of patients with surgically treated NF-PNET; (2) to evaluate the feasibility of preoperative prediction of LNM in NF-PNETs using preoperatively available variables.

METHODS

Patients

This was a mono-institutional retrospective cohort study of the clinical records of 100 patients who underwent pancreatic surgery with curative intent for NF-PNET between January 2004 and December 2014. The diagnosis of PNET was confirmed by histopathology. All patients who were diagnosed with NF-PNET were included (n = 111), whereas syndromic patients (n = 1), patients lost to the postoperative follow-up (n = 6) and patients with distal metastasis (n = 4), were excluded from this study. Nonfunctioning neoplasms were defined by the lack of any clinical syndrome caused by excess hormonal secretion. In total, 100 patients with nonsyndromic, NF localized PNET were finally selected for this study. Information about clinical presentation, demographics, data regarding surgical procedures, postoperative course and complications, pathologic findings, and follow-up was collected. All patients underwent presurgical computed tomography (CT) evaluation of the dimensions, local invasiveness, and the presence of lymph node or distant metastasis. The radiological presurgical diameter was defined as the largest diameter on the CT scans.[18] The pathological diameter of neoplasms was defined as the largest diameter of the surgical specimens.

Surgical treatment of nonfunctional pancreatic neuroendocrine tumors

All patients underwent surgical resection with curative intent. Standard or parenchyma-preserving resection was selected for according to tumor size and anatomical location. Standard resections included pancreaticoduodenectomy or distal pancreatectomy with or without splenectomy. Parenchyma-preserving resections included middle pancreatectomy or enucleation.[192021] All patients in this study had at least one lymph node sampled on resected specimens. Standard resections were always performed in association with regional lymphadenectomy. Lymphadenectomy during parenchyma-preserving resection was usually limited to the peripancreatic nodes. If lymph node involvement was suspected, regional lymphadenectomy was performed. The extent of regional lymphadenectomy was the same as that performed in cases of pancreatic ductal adenocarcinoma. For tumors located in the pancreatic head, regional nodes consisted of those located along the common bile duct, common hepatic artery, portal vein, superior mesenteric vein, posterior and anterior pancreatic head, and the right lateral wall of the superior mesenteric artery. For tumors located in the pancreatic body or tail, regional nodes included those along the common hepatic artery, celiac axis, splenic artery, and splenic hilum.

Pathological examination and staging system

The pathological diagnosis of PNETs depends on classic histological and immunohistochemical features. The surgical specimens of all cases were classified according to the World Health Organization (WHO) classification criteria (2010).[22] All PNETs were divided according to a grading scheme based on mitotic count or Ki67 index into G1 (mitotic count <2/10 high-power fields (HPF) and/or ≤2% Ki67 index), G2 (mitotic count 2–20/10 HPF and/or 3–20% Ki67 index), and G3 (mitotic count >20/10 HPF and/or >20% Ki67 index). The ENETS recommended TNM staging system was used for tumor staging.[10] Primary tumors (T stage) were classified into four categories: T1, tumor limited to the pancreas and size <2 cm; T2, tumor limited to the pancreas and size 2–4 cm; T3, tumor limited to the pancreas and size >4 cm or invading the duodenum or bile duct; and T4, tumor invading adjacent organs (stomach, spleen, colon, and adrenal gland) or the wall of large vessels (celiac axis or superior mesenteric artery). Primary tumor angioinvasion and local infiltration were also evaluated in pathological samples. Malignant behavior was defined as LNM or local invasion on histology.

Follow-up

All patients enrolled in this study underwent a postoperative clinical and radiological follow-up. All patients underwent a radiological examination by CT scans every 6–12 months after surgery, and magnetic resonance imaging was performed if necessary. If patients had any symptoms suspected to be associated with tumor progression during follow-up, a radiological examination was performed immediately to rule out recurrence or distant metastasis. The radiological examination was performed more frequently in patients with progressive disease or carcinoma. Disease-free survival (DFS) was calculated as the months between surgery and 30 Jun 2015 or the first documented disease recurrence. An acute postoperative mortality was defined as death which occurred within 30 days after surgery. The data on the operation and postoperative morbidity was collected from the electronic patient records of our institution. Phone interviews were conducted for all patients with a response rate of 95% (105 patients) and data on survival status, date of death, and tumor recurrence were collected. For all living patients, the last follow-up was updated by 30 Jun 2015.

Statistical analysis

Data were expressed as a mean ± standard deviation for continuous variables and as number and percentage for categorical variables. The comparison between subgroups was performed by the analysis of variance for quantitative variables and by the chi-square test or Fisher exact test for categorical variables, when necessary. Survival probability was estimated according to the Kaplan–Meier method. The Cox regression model was used in univariate and multivariate analyses to evaluate the independent predictive factors of postoperative recurrence. Hazard ratios (HR) and 95% confidence intervals (CI) were also calculated. Variables with P ≤ 0.05 in univariate analysis were included in the multivariate model. Logistic regression analysis performed in a stepwise fashion with backward selection was used to evaluate the value of clinical factors for predicting LNM and to establish the preoperative predictive model. Receiver operating characteristic (ROC) curve analysis was performed to assess the predictive power of the models through calculating the area under the curve (AUC). A two-sided P < 0.05 was considered to indicate statistical significance. SPSS version 20.0 (IBM, USA) was used to perform all the data analysis.

RESULTS

Demographics, operative details, pathological findings

The clinical and pathological data of the 100 NF-PNETs are shown in Table 1. Among the 100 patients, more than 50% (n = 53) were symptomatic at the time of diagnosis. The most common presenting symptom was abdominal pain (n = 34). Overall, 81 patients (81%) underwent standard pancreatic resection, while 19 patients (19%) underwent parenchyma-preserving pancreatic resection. Postsurgical complications occurred in 55 patients (55%), among which, postoperative pancreatic fistula (POPF) (50.9%) was the most common. Approximately, 40% of POPFs were classified as grade A according to the International Study Group of Pancreatic Fistula criteria. 2 patients underwent reoperation before discharge due to postoperative hemorrhage. No operation-related mortality occurred.
Table 1

Clinical and pathological data of patients with nonfunctioning PNETs

CharacteristicsAll patients (n = 100) n (%)
Sex
 Male46 (46)
 Female54 (54)
Age (years)
 ≤6074 (74)
 ˃6026 (26)
Presence of symptoms
 No47 (47)
 Yes53 (53)
Primary site
 Head55 (55)
 Body/tail45 (45)
Tumor size (cm)
 <229 (29)
 2–442 (42)
 ˃429 (29)
Surgery
 Enucleation9 (9)
 Middle pancreatectomy10 (10)
 Whipple43 (43)
 Distal pancreatectomy38 (38)
Surgery approach
 Open69 (69)
 Laparoscopic7 (7)
 Robotic24 (24)
 Morbidity55 (55)
Grade*
 Grade 161 (61)
 Grade 224 (24)
 Grade 315 (15)
Tb
 T129 (29)
 T235 (35)
 T331 (31)
 T45 (5)
Node status
 Positive20 (20)
 Negative80 (80)
ENETS stage
 I27 (27)
 IIa32 (32)
 IIb21 (21)
 IIIa0
 IIIb19 (19)
 IV0

*WHO 2010 classification;[22] †ENETS recommended TNM staging system.[10] PNETs: Pancreatic neuroendocrine tumors; ENETS: European Neuroendocrine Tumor Society; TNM: Tumor-node-metastasis; WHO: World Health Organization.

Clinical and pathological data of patients with nonfunctioning PNETs *WHO 2010 classification;[22] †ENETS recommended TNM staging system.[10] PNETs: Pancreatic neuroendocrine tumors; ENETS: European Neuroendocrine Tumor Society; TNM: Tumor-node-metastasis; WHO: World Health Organization. According to the 2010 WHO classification,[23] among the 100 NF-PNETs, 61 patients (61%) were diagnosed as G1 tumors, 24 (24%) patients as G2 tumors, and 15 (15%) as G3 tumors. Among the 85 patients with G1 or G2 tumors, 44 (51.8%) were asymptomatic. In contrast, among the patients with G3 tumors, 12 (80%) had symptoms before surgery. Compared to G1 neoplasms, G2 or G3 neoplasms had larger diameter (G2 vs. G1: 4.4 cm ± 2.6 cm vs. 2.8 cm ± 2.1 cm, P = 0.001; G3 vs. G1: 4.6 cm ± 2.0 cm vs. 2.8 cm ± 2.1 cm, P = 0.004). Overall, 20 patients presented with LNM (LN+). Tumor size in LN+ patients was larger than that in LN-patients (4.7 cm ± 2.6 cm vs. 3.2 cm ± 2.2 cm, P = 0.01). According to the ENETS recommended TNM staging system,[10] 29 (29%) patients had T1 tumors, 35 (35%) had T2, 31 (31%) had T3, and 5 (5%) had T4. Among the 100 patients, 27 patients (27%) had Stage I neoplasms, 32 (32%) had Stage IIa, 22 (22%) had Stage IIb, and 19 (19%) had Stage IIIb. Malignant behavior was defined as LNM or local invasion on histology. Pathological examination revealed the presence of angioinvasion and perineural invasion in 15 patients (15%) and 7 patients (7%), respectively. Malignant behavior was found in 31 (31%) of all NF-PNETs and four (8.5%) of 47 patients with radiological tumor size <2.5 cm with LNM identified in 3 (75%) of these patients.

Long-term outcomes

The 1, 5, and 8-year DFS was 90.2, 64.1–47.1%, respectively [Figure 1]. During the follow-up period, 21 patients (21%) presented postoperative recurrence. Of these patients, 15 had liver metastasis and six had a local recurrence. Three patients underwent reoperation due to local recurrence. Variables associated with DFS in the univariate analysis are shown in Table 2. In the multivariate analysis, lymph node positive (HR = 3.995, 95% CI: 1.585–10.06, P = 0.003), angioinvasion (HR = 4.049, 95% CI: 1.472 - 11.135, P = 0.007), and high tumor grading (G3 vs. G1 + G2: HR = 7.286, 95% CI: 2.7797–18.980, P = 0.000048) were significantly associated with decreased DFS in patients with resected NF-PNET [Table 2]. The 5- and 8-year DFS was 79.4% and 71.4%, respectively, for LN-patients compared to 24.9% and 8.3%, respectively, for patients with LN+ disease (P = 0.000001) [Figure 2].
Figure 1

Disease-free survival of patients with nonfunctional pancreatic neuroendocrine tumors. The 1, 5, and 8-year disease-free survival was 90.2%, 64.1% and 47.1%, respectively.

Table 2

Univariate and multivariate analysis of risk factors of DFS

ItemsnUnivariate analysisMultivariate analysis


5 years DFS (%) ± SDPHR (95% CI)P
Gender
 Male4653.8 ± 14.30.207
 Female5471.2 ± 9.8
Age (years)
 ≤607473.6 ± 7.40.267
 >602657.7 ± 15.6
Presence of symptom
 No4768.8 ± 16.90.053
 Yes5360.1 ± 9.3
CA199 (U/ml)
 Normal8869.6 ± 8.60.0361
 Elevated1232.7 ± 18.41.622 (0.535–4.916)0.393
Tumor size (cm)*
 ≤2351000.0141
 >26553.9 ± 9.21.635 (0.158–16.895)0.680
Tumor location
 Head5563 ± 11.50.806
 Body/tail4564.9 ± 11.5
Grade
 Grade 1 + Grade 28578.8 ± 7.90.0000001
 Grade 31510.5 ± 9.67.286 (2.797–18.980)0.000048
T
 T1 + T26492.4 ± 5.20.0000191
 T3 + T43633.2 ± 11.82.798 (0.765–10.235)0.120
Nodal status
 Negative8079.4 ± 8.30.0000011
 Positive2024.9 ± 12.03.995 (1.585–10.06)0.003
Angioinvasion
 No8573.3 ± 7.10.0000111
 Yes1523.3 ± 13.164.049 (1.472–11.135)0.007
Perineural invasion
 No9369.7 ± 8.50.0000001
 Yes702.215 (0.440–11.048)0.332
LN examined
 ≤66060 ± 11.40.618
 >64068.8 ± 11.7
Focality
 Unifocal9764.6 ± 8.30.807
 Multifocal366.7 ± 27.2

*Size on resected specimens; †WHO 2010 classification;[22] ‡ENETS recommended TNM staging system.[10] DFS: Disease-free survival; SD: Standard deviation; HR: Hazard ratio; 95% CI: 95% confidence interval; LN: Lymph node; ENETS: European Neuroendocrine Tumor Society; TNM: Tumor-node-metastasis; WHO: World Health Organization.

Figure 2

Impact of lymph node status on disease-free survival. The 5-year disease-free survival was 79.4% for lymph node-patients compared to 24.9% for patients with LN + disease (P = 0.000001), LN: Lymph node.

Disease-free survival of patients with nonfunctional pancreatic neuroendocrine tumors. The 1, 5, and 8-year disease-free survival was 90.2%, 64.1% and 47.1%, respectively. Univariate and multivariate analysis of risk factors of DFS *Size on resected specimens; †WHO 2010 classification;[22] ‡ENETS recommended TNM staging system.[10] DFS: Disease-free survival; SD: Standard deviation; HR: Hazard ratio; 95% CI: 95% confidence interval; LN: Lymph node; ENETS: European Neuroendocrine Tumor Society; TNM: Tumor-node-metastasis; WHO: World Health Organization. Impact of lymph node status on disease-free survival. The 5-year disease-free survival was 79.4% for lymph node-patients compared to 24.9% for patients with LN + disease (P = 0.000001), LN: Lymph node.

Predictors of lymph node metastasis

Among these 100 patients with NF-PNETs, 92 who underwent regional lymphadenectomy were selected for analysis of predictors of LNM. Of these patients, LNM was eventually confirmed in 20 (21.7%). Variables that could be measured preoperatively were selected for the univariate analysis of the feasibility of preoperative prediction of LN status. In the univariate analysis, factors associated with LN metastasis were radiological tumor diameter >2.5 cm (odds ratio [OR] =5.667, P = 0.010), Elevated CA199 (OR = 4.714, P = 0.017), high tumor grading (G2:G1, OR = 6.125, P = 0.007; G3:G1, OR = 14.000, P = 0.000322), and presence of symptoms (OR = 3.545, P = 0.026) [Table 3]. In the multivariate analysis, tumor grading (G2 vs. G1: OR = 6.287, P = 0.008; G3 vs. G1: OR = 12.407, P = 0.001) was an independent predictor of LNM [Table 3]. The rate of LNM progressively increased from G1 to G3 (G1, G2 vs. G3: 7.5%, 33.3% vs. 53.3%). Considering the difficulty of preoperative retrievability of tumor grade, we excluded tumor grade from the analysis, and as a result, radiological tumor size >2.5 cm (OR = 5.430, P = 0.013) and presence of symptoms (OR = 3.366, P = 0.039) were independently associated with LNM [Table 3]. Radiological diameter was consistent with pathological diameter (34.1 mm vs. 34.7 mm, P = 0.237). When tumor size was treated as a continuous variable, the correlation with LN metastasis also reached significance (OR = 1.313, P = 0.016). ROC analysis demonstrated radiological tumor diameter was a reliable and feasible predictor of LNM in patients with resectable NF-PNET with an AUC of 0.693 [Figure 3a]. Compared to neoplasms with radiological size >2.5 cm (32.1%), tumors ≤2.5 cm had an obviously lower risk of LNM (7.7%). The various clinicopathologic factors reviewed in this study stratified by a tumor size cut-off of 2.5 cm are summarized in Table 4. Compared to tumors ≤2.5 cm, tumors >2.5 cm had higher tumor grade and greater malignant potential. A cut-off of >2.5 cm was associated with a sensitivity of 85% for the presence of LN+ disease. The negative predictive value of tumor size ≤2.5 cm was 92.3%. Other cut-offs were also examined [Table 5]. With the purpose of promoting the predictive power, we constructed a preoperative predictive model of LN metastasis based on radiological tumor size combined with symptoms. ROC analysis was performed to evaluate the predictive power of this model. The AUC of this model was 0.747 [Figure 3b], and the probability of LN+ for every patient was calculated. For the patients with an LN+ risk of ≤20%, 89.6% of these patients were, actually, LN-negative. Of the 21 incidentally discovered patients with tumors size ≤2.5 cm on CT scans, only one (4.8%) had LNM and none presented a postoperative recurrence during follow-up.
Table 3

Univariate and multivariate logistic regression analysis of LN metastasis

ItemsUnivariate analysisMultivariate analysisMultivariate analysis



OR (95% CI)POR (95% CI)POR (95% CI)P
Gender
 Male1
 Female0.504 (0.184–1.382)0.183
Age (years)
 ≤601
 >600.607 (0.181–2.032)0.418
Tumor location
 Head1
 Body/tail0.907 (0.148–1.240)0.899
CA125
 Normal1
 Elevated2.750 (0.693–10.909)0.150
CA199
 Normal111
 Elevated4.714 (1.324–16.788)0.0173.731 (0.869–16.021)0.0772.832 (0.717–11.189)0.137
Radiological size
 ≤2.5 cm111
 >2.5 cm5.667 (1.527–21.032)0.0102.456 (0.561–10.755)0.2335.430 (1.431–20.603)0.013
Symptoms
 No111
 Yes3.345 (1.165–10.793)0.0262.319 (0.670–8.032)0.1843.366 (1.063–10.656)0.039
Grading*
 Grade 111//
 Grade 26.125 (1.626–23.073)0.0076.287 (1.615–24.478)0.008//
 Grade 314.000 (3.324–58.969)0.00033212.407 (2.827–54.450)0.001//

*WHO 2010 classification;[22] †Multivariate analysis excluding tumor grade. OR: Odds ratio; 95% CI: 95% confidence interval; LN: Lymph node; WHO: World Health Organization.

Figure 3

Receiver operating characteristic curve of predictors of lymph node metastasis. The area under the curve of radiological tumor size (a) is 0.693, while the area under the curve of the constructed predictive model (b) is 0.747.

Table 4

Clinicopathologic factors stratified by radiological tumor size

Items≤2.5 cm (n = 39)>2.5 cm (n = 53)P
Gender, n (%)
 Male15 (38.5)28 (52.8)0.172
 Female24 (61.5)25 (47.2)
Age (years), median ± SD50.87 ± 11.3852.68 ± 13.340.497
Tumor location, n (%)
 Head19 (48.7)31 (58.5)0.352
 Body/tail20 (51.3)22 (41.5)
Symptoms, n (%)
 No21 (53.8)23 (43.4)0.321
 Yes18 (46.2)30 (56.6)
Surgery, n (%)*
 Standard32 (82.1)49 (92.5)0.193
 Atypical7 (17.9)4 (7.5)
Surgical approach, n (%)
 Open19 (48.7)45 (84.9)0.000193
 Minimal invasive20 (51.3)8 (15.1)
Morbidity, n (%)
 No16 (41.0)28 (52.8)0.296
 Yes23 (59.0)25 (47.1)
Grade, n (%)
 Grade 131 (79.5)22 (41.5)0.001
 Grade 27 (19.9)17 (32.1)
 Grade 31 (2.6)14 (26.4)
Primary tumor, n (%)§
 T129 (61.7)00.000000
 T217 (36.2)18 (34)
 T31 (2.1)30 (56.6)
 T405 (9.4)
LN status, n (%)
 Negative36 (92.3)36 (67.9)0.005
 Positive3 (7.7)17 (32.1)
Angioinvasion, n (%)
 No39 (100)38 (71.7)0.000282
 Yes015 (28.3)
Perineural invasion, n (%)
 No38 (97.4)47 (88.7)0.232
 Yes1 (2.6)6 (11.3)

*Standard resections include pancreaticoduodenectomy and distal pancreatectomy. Atypical resections include middle pancreatectomy and enucleation; †Laparoscopic and robotic surgery; ‡WHO 2010 classification;[22] §ENETS recommended TNM staging system.[10] SD: Standard deviation; LN: Lymph node; WHO: World Health Organization; ENETS: European Neuroendocrine Tumor Society; TNM: Tumor-node-metastasis.

Table 5

Predictive values of different radiological size cut-offs for LN metastasis in patients with NF-PNETs

Cut-off (cm)Sensitivity (%)Specificity (%)NPV (%)PPV (%)AUC
1.590.022.288.924.30.561
285.033.388.926.20.592
2.585.050.092.332.10.675
370.055.687.030.40.628
3.565.062.586.532.50.638
465.069.487.737.10.672

NPV: Negative predictive value; PPV: Positive predictive value; AUC: Area under the curve; NF-PNETs: Nonfunctional pancreatic neuroendocrine tumors; LN: Lymph node.

Univariate and multivariate logistic regression analysis of LN metastasis *WHO 2010 classification;[22] †Multivariate analysis excluding tumor grade. OR: Odds ratio; 95% CI: 95% confidence interval; LN: Lymph node; WHO: World Health Organization. Receiver operating characteristic curve of predictors of lymph node metastasis. The area under the curve of radiological tumor size (a) is 0.693, while the area under the curve of the constructed predictive model (b) is 0.747. Clinicopathologic factors stratified by radiological tumor size *Standard resections include pancreaticoduodenectomy and distal pancreatectomy. Atypical resections include middle pancreatectomy and enucleation; †Laparoscopic and robotic surgery; ‡WHO 2010 classification;[22] §ENETS recommended TNM staging system.[10] SD: Standard deviation; LN: Lymph node; WHO: World Health Organization; ENETS: European Neuroendocrine Tumor Society; TNM: Tumor-node-metastasis. Predictive values of different radiological size cut-offs for LN metastasis in patients with NF-PNETs NPV: Negative predictive value; PPV: Positive predictive value; AUC: Area under the curve; NF-PNETs: Nonfunctional pancreatic neuroendocrine tumors; LN: Lymph node.

DISCUSSION

NF-PNETs are relatively rare and heterogeneous pancreatic neoplasms with a remarkably increasing incidence.[2] Compared to functional neoplasms, NF neoplasms show a worse outcome in part due to the delay of diagnosis and higher malignant potential.[69] The optimal management for PNET is still controversial. Given its positive impact on survival,[2324252627] surgical resection has become the treatment choice for most patients with NF-PNETs. In recent years, small NF-PNETs are increasingly being discovered incidentally in cross-sectional imaging for other purposes and routine regional lymphadenectomy when surgical resection is considered in such cases remains controversial. For these reasons, we conducted a mono-institutional retrospective study of resectable NF-PNETs with the purpose of (1) elucidating the clinical significance of LNM and (2) identifying reliable predictors of LNM to help surgeons to make informed treatment decisions. Our clinical data demonstrated that the 5-year DFS of resectable NF-PNETs was 64.1%. LNM is a significant prognostic predictor for most malignant tumors, although the impact of LNM on the survival of patients with NF-PNETs remains open to debate.[13141617282930] Many previous studies have yielded conflicting evidence regarding the prognostic value of LNM for PNET. The difference in patient selection and low lymph node sampling rates during resection for PNETs may account for these inconsistencies.[31] In accordance with our results, several previous studies have demonstrated LNM is significantly associated with a poor prognosis.[13172831323334] Both the ENETS-TNM staging system and the AJCC cancer staging system regard lymph node status as an important prognostic factor.[1011] In our study, patients with LNM had a significantly higher risk (nearly 4-fold) of postoperative recurrence compared with those without LNM, which supports the necessity for regional lymphadenectomy in patients with high-risk of lymph node involvement. Since LNM is apparently related to prognosis, the ability to distinguish patients with high-risk of LNM preoperatively is of great importance. NF-PNETs classified, according to the criteria of the 2010 WHO classifications, were divided into three groups using a grading scheme based on the Ki-67 index or mitotic count. Our study confirmed the significant correlation between the 2010 WHO grading system and postoperative recurrence, which is consistent with recent studies.[13] In addition, LNM occurred more frequently in patients with G2 or G3 NF-PNETs than in those with G1 tumors (G1, G2 vs. G3: 7.5%, 33.3%, 53.3%); therefore, it was presumed that these patients would benefit from node clearance and routine lymphadenectomy was recommended. However, classification of tumor grade usually depends on pathological examination and the possibility of a preoperative evaluation of Ki-67 is still questionable. Endoscopic ultrasonography (EUS) combined with fine-needle aspiration (FNA) or Tru-cut needle biopsy (TCB) can be used to evaluate tumor pathology preoperatively. Preoperative evaluation of Ki-67 index, combined with lesion size and imaging findings may help surgeons to decide on the best therapeutic approach and whether lymphadenectomy should be performed. However, there is a lack of data regarding the accuracy of FNA cytology in the assessment of Ki-67 value. All of the available reports describe studies with small sample sizes. In a recent study, the concordance rate for WHO classification between EUS FNA and resected specimens was 77.8%.[35] Use of EUS TCB needles can overcome many of the problems that reduce the accuracy of FNA, but they are not feasible for most patients as they are often performed only at high-volume centers, can be challenging for small masses, and are associated with a risk of pancreatitis and bleeding. Moreover, intratumoral Ki-67 heterogeneity limits the accurate preoperative evaluation of Ki-67 value by EUS FNA.[35] Considering the limitations of preoperative evaluation of Ki-67 index, an alternative variable is required. Since tumor size can easily be obtained preoperatively by use of radiological techniques, it has been extensively studied to identify the patients with LNM. Increasing tumor size is strongly correlated with positive LN status and poor prognosis.[183637] Partelli et al. reported that radiological tumor size ˃4 cm was an independent predictor of nodal metastasis in low and intermediate grade NF-PNETs.[13] In a retrospective study of 116 patients undergoing resection for NF-PNET, Toste et al. demonstrated that radiological tumor size ≥2 cm predicted nodal metastasis with a sensitivity of 93.8% and only two (7.4%) of 27 patients with tumor size <2 cm had LNM.[15] Hashim et al. reported that patients with tumor diameter >1.5 cm were 4.7 times more likely to have LNM compared to those with smaller tumor diameters. They also found two (12%) of 17 patients with tumor size ≤1 cm and five (13%) of 38 patients with tumor size ≤1.5 cm had LNM.[17] In contrast, some studies indicate that tumor size is not an accurate predictor of LNM. Parekh et al. reported that there was no difference in tumor size for patients with and without nodal metastasis (5.2 cm vs. 4.6 cm). Interestingly, 31% of patients with tumor size <3 cm had nodal metastasis, while only 1 patient in their series with a tumor <2 cm was LN positive.[38] Gratian et al. reported there was no association between decreasing tumor size and decreased percentage of cases presenting with regional nodal metastasis.[16] Our study suggests radiological tumor size is a sensitive predictor of lymph node status and demonstrates a strong correlation between increasing radiological tumor size and LNM. The incidence of LNM in patients with radiological size >2.5 cm was more than 4 times greater than that in patients with a tumor size ≤2.5cm. A cut-off of >2.5 cm was associated with a sensitivity of 85% for the presence of positive LNs. Three of 39 (7.7%) patients with a tumor size ≤2.5 cm had nodal metastasis and 2 patients (11.1%) with a tumor size ≤1.5 cm had nodal metastasis. Given that smaller tumors are associated with low rates of LNM, better histology, and a better outcome than larger tumors, it is unclear whether lymphadenectomy should be avoided for small NF-PNETs. In a retrospective study of 1854 patients with NF-PNETs ≤2 cm, Gratian et al. demonstrated that there was no difference in 5-year overall survival in patients undergoing surgical resection between those who underwent lymphadenectomy and those who did not.[16] Interestingly, in this study, 29% of tumors ≤2 cm and 33% of tumors ≤0.5 cm presented with regional LNM with a median of eight lymph nodes sampled, which was unexpectedly higher than had been reported previously. However, patient selection bias might overestimate the malignant potential of these tumors and account for the high rate of LNM. NCCN guidelines suggest that lymphadenectomy should not be performed routinely for tumors <2 cm but should be considered in tumors that are 1–2 cm in size.[39] The benefits of lymphadenectomy in patients with small tumors is still unknown and more clinical data or well-designed clinical trials are needed to resolve this problem; however, such clinical trials are limited by the relative rarity and indolent behavior of small NF-PNETs. In our study, patients with small tumors (≤2.5 cm) has a very low-risk of LNM. In addition, recurrence occurred in only one of the patients with small tumors 84 months after surgery, and no deaths caused by these tumors were reported during the follow-up. These results suggest that lymphadenectomy should not perform routinely in these patients. NCCN guidelines and current staging systems use the same cut-off of 2 cm as that used in pancreatic ductal adenocarcinoma,[101112] although patients with NF-PNETs have a much better prognosis than those with PDA. A cut-off of 2 cm has a low specificity for estimating the risk of LNM; consequently, many patients undergo unnecessary lymphadenectomy under this criterion. Based on our results, a cut-off of 2.5 cm was shown to be appropriate and safe. Compared to 2 cm, a cut-off of 2.5 cm had a similar sensitivity, but higher specificity and negative predictive value, showing that a cut-off of 2.5 cm is more effective in distinguishing the patients who require LN resection. Given the previously demonstrated strict correlation between tumor diameter and poor survival after resection of NF-PNETs,[3436] raising the threshold may result in some tumors with malignant potential being considered benign. Preoperative evaluation of Ki-67 index, combined with lesion size and imaging findings, may help surgeons to decide the best therapeutic approach. Since low-grade tumors are associated with a very low-risk of LNM and excellent survival, relaxing the indications for lymphadenectomy seems to be feasible. Based on the results of this study, we identified radiological tumor size as a noninvasive and reliable factor to predict LNM in NF-PNETs. A radiological diameter ˃2.5 cm yielded a powerful correlation with the risk of LNM. The presence of symptoms at diagnosis was also shown to be a predictor of LNM. Although the symptoms of patients with NF-PNETs are always unspecific, they are thought to be related to local mass effect or metastatic disease; in other words, tumor burden.[718] Incidental detection of tumors is a strong prognostic factor for postoperative progression.[40] In this study, incidentally discovered tumors were slightly smaller in size (3.2 cm vs. 3.7 cm) and associated with a much lower risk of LNM (12.2% vs. 29.2%). Asymptomatic NF-PNETs smaller than 2 cm are unlikely to show aggressive behavior.[182641] Bettini et al. reported only 6% of NF-PNETs ≤2 cm were malignant when discovered incidentally.[18] In our study, incidentally discovered small (≤2.5 cm) NF-PNETs had a very low-risk of LNM (4.2%) and no cases of postoperative recurrence or death due to the disease occurred. Considering the low-risk of LN involvement and the positive outcomes, routine lymphadenectomy is not recommended as an addition to pancreatic resection in cases of asymptomatic small NF-PNETs when surgery is considered. In conclusion, LNM was identified as a significant predictor of postoperative recurrence in NF-PNETs. Tumor grade was associated with DFS and LNM. Preoperative prediction of LN involvement is feasible and radiological tumor size, which can be measured easily and accurately, was shown to be a useful and alternative variable correlated with LN involvement. Tumors ≤2.5 cm in preoperative imaging were unlikely to have positive LNs. The preoperative predictive model showed good predictive power for LN involvement. Our results suggest that parenchyma-sparing resection without regional lymphadenectomy is a reasonable option for selected patients with incidentally discovered NF-PNETs ≤2.5 cm when surgical resection is considered because of the low probability of LNM and a good outcome. In contrast, lymphadenectomy should be performed routinely in patients with NF-PNETs >2.5cm.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  39 in total

1.  Surgical treatment of pancreatic endocrine tumours in Italy: results of a prospective multicentre study of 262 cases.

Authors:  Alessandro Zerbi; Vanessa Capitanio; Letizia Boninsegna; Claudio Pasquali; Guido Rindi; Gianfranco Delle Fave; Marco Del Chiaro; Riccardo Casadei; Massimo Falconi
Journal:  Langenbecks Arch Surg       Date:  2010-09-21       Impact factor: 3.445

2.  Implications of incidentally discovered, nonfunctioning pancreatic endocrine tumors: short-term and long-term patient outcomes.

Authors:  Alex B Haynes; Vikram Deshpande; Thun Ingkakul; Parsia A Vagefi; Jackie Szymonifka; Sarah P Thayer; Cristina R Ferrone; Jennifer A Wargo; Andrew L Warshaw; Carlos Fernández-del Castillo
Journal:  Arch Surg       Date:  2011-05

3.  Prognostic factors in pancreatic endocrine neoplasms: an analysis of 136 cases with a proposal for low-grade and intermediate-grade groups.

Authors:  Steven N Hochwald; Sui Zee; Kevin C Conlon; Roberto Colleoni; Otway Louie; Murray F Brennan; David S Klimstra
Journal:  J Clin Oncol       Date:  2002-06-01       Impact factor: 44.544

4.  Non-functional neuroendocrine carcinoma of the pancreas: incidence, tumor biology, and outcomes in 2,158 patients.

Authors:  Jan Franko; Wentao Feng; Linwah Yip; Elizabeth Genovese; A James Moser
Journal:  J Gastrointest Surg       Date:  2009-12-09       Impact factor: 3.452

5.  Prognostic factors at diagnosis and value of WHO classification in a mono-institutional series of 180 non-functioning pancreatic endocrine tumours.

Authors:  R Bettini; L Boninsegna; W Mantovani; P Capelli; C Bassi; P Pederzoli; G F Delle Fave; F Panzuto; A Scarpa; M Falconi
Journal:  Ann Oncol       Date:  2008-01-21       Impact factor: 32.976

6.  Parenchyma-sparing resections for pancreatic neuroendocrine tumors.

Authors:  Rim Cherif; Sébastien Gaujoux; Anne Couvelard; Safi Dokmak; Marie-Pierre Vuillerme; Philippe Ruszniewski; Jacques Belghiti; Alain Sauvanet
Journal:  J Gastrointest Surg       Date:  2012-08-22       Impact factor: 3.452

7.  Pancreatic neuroendocrine tumors: the impact of surgical resection on survival.

Authors:  Joshua S Hill; James T McPhee; Theodore P McDade; Zheng Zhou; Mary E Sullivan; Giles F Whalen; Jennifer F Tseng
Journal:  Cancer       Date:  2009-02-15       Impact factor: 6.860

8.  Small, nonfunctioning, asymptomatic pancreatic neuroendocrine tumors (PNETs): role for nonoperative management.

Authors:  Louis C Lee; Clive S Grant; Diva R Salomao; Joel G Fletcher; Naoki Takahashi; Jeff L Fidler; Michael J Levy; Marianne Huebner
Journal:  Surgery       Date:  2012-10-24       Impact factor: 3.982

9.  Surgical treatment of pancreatic endocrine neoplasms.

Authors:  Fernando Gomez-Rivera; Ashley E Stewart; J Pablo Arnoletti; Selwyn Vickers; Kirby I Bland; Martin J Heslin
Journal:  Am J Surg       Date:  2007-04       Impact factor: 2.565

10.  TNM staging of foregut (neuro)endocrine tumors: a consensus proposal including a grading system.

Authors:  G Rindi; G Klöppel; H Alhman; M Caplin; A Couvelard; W W de Herder; B Erikssson; A Falchetti; M Falconi; P Komminoth; M Körner; J M Lopes; A-M McNicol; O Nilsson; A Perren; A Scarpa; J-Y Scoazec; B Wiedenmann
Journal:  Virchows Arch       Date:  2006-09-12       Impact factor: 4.064

View more
  12 in total

Review 1.  Prognostic and predictive factors on overall survival and surgical outcomes in pancreatic neuroendocrine tumors: recent advances and controversies.

Authors:  Lingaku Lee; Tetsuhide Ito; Robert T Jensen
Journal:  Expert Rev Anticancer Ther       Date:  2019-11-27       Impact factor: 4.512

2.  Significance of lymph node metastasis in pancreatic neuroendocrine tumor.

Authors:  Katsunobu Taki; Daisuke Hashimoto; Shigeki Nakagawa; Nobuyuki Ozaki; Shinjiro Tomiyasu; Masaki Ohmuraya; Kota Arima; Takayoshi Kaida; Takaaki Higashi; Keita Sakamoto; Kazuya Sakata; Hirohisa Okabe; Hidetoshi Nitta; Hiromitsu Hayashi; Akira Chikamoto; Toru Beppu; Hiroshi Takamori; Masahiko Hirota; Hideo Baba
Journal:  Surg Today       Date:  2017-02-22       Impact factor: 2.549

3.  Indications for resection and perioperative outcomes of surgery for pancreatic neuroendocrine neoplasms in Germany: an analysis of the prospective DGAV StuDoQ|Pancreas registry.

Authors:  Ioannis Mintziras; Tobias Keck; Jens Werner; Stefan Fichtner-Feigl; Uwe Wittel; Norbert Senninger; Thorsten Vowinkel; Jörg Köninger; Matthias Anthuber; Bernd Geißler; Detlef Klaus Bartsch
Journal:  Surg Today       Date:  2019-06-25       Impact factor: 2.549

4.  Preoperative prediction of lymph node metastasis in nonfunctioning pancreatic neuroendocrine tumors from clinical and MRI features: a multicenter study.

Authors:  Hai-Bin Zhu; Pei Nie; Liu Jiang; Juan Hu; Xiao-Yan Zhang; Xiao-Ting Li; Ming Lu; Ying-Shi Sun
Journal:  Insights Imaging       Date:  2022-10-08

5.  Risk factors for lymph node metastasis in patients with pancreatic neuroendocrine neoplasms.

Authors:  Yosuke Nakao; Hiromitsu Hayashi; Yo-Ichi Yamashita; Ofuchi Takashi; Kazuki Matsumura; Norio Uemura; Fumimasa Kitamura; Rumi Itoyama; Toshihiko Yusa; Katsunobu Taki; Tatsunori Miyata; Takaaki Higashi; Shigeki Nakagawa; Hirohisa Okabe; Katsunori Imai; Hideo Baba
Journal:  World J Clin Oncol       Date:  2022-06-24

6.  A Lymph Node Ratio-Based Staging Model Is Superior to the Current Staging System for Pancreatic Neuroendocrine Tumors.

Authors:  Apostolos Gaitanidis; Dhaval Patel; Naris Nilubol; Amit Tirosh; Electron Kebebew
Journal:  J Clin Endocrinol Metab       Date:  2018-01-01       Impact factor: 5.958

7.  Preoperative neutrophil-to-lymphocyte ratio and tumor-related factors to predict lymph node metastasis in nonfunctioning pancreatic neuroendocrine tumors.

Authors:  Bo Zhou; Junfang Deng; Lifeng Chen; Shusen Zheng
Journal:  Sci Rep       Date:  2017-12-13       Impact factor: 4.379

8.  Pancreatic neuroendocrine tumor Grade 1 patients followed up without surgery: Case series.

Authors:  Mitsuru Sugimoto; Tadayuki Takagi; Rei Suzuki; Naoki Konno; Hiroyuki Asama; Ko Watanabe; Jun Nakamura; Hitomi Kikuchi; Yuichi Waragai; Mika Takasumi; Satoshi Kawana; Yuko Hashimoto; Takuto Hikichi; Hiromasa Ohira
Journal:  World J Clin Oncol       Date:  2017-06-10

9.  A Direct Comparison of Patients With Hereditary and Sporadic Pancreatic Neuroendocrine Tumors: Evaluation of Clinical Course, Prognostic Factors and Genotype-Phenotype Correlations.

Authors:  Przemysław Soczomski; Beata Jurecka-Lubieniecka; Aleksandra Krzywon; Alexander Jorge Cortez; Stanisław Zgliczynski; Natalia Rogozik; Małgorzata Oczko-Wojciechowska; Agnieszka Pawlaczek; Tomasz Bednarczuk; Barbara Jarzab
Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-28       Impact factor: 5.555

10.  Nomograms predict survival outcomes for distant metastatic pancreatic neuroendocrine tumor: A population based STROBE compliant study.

Authors:  Gang Li; Mao-Lin Tian; Yun-Tao Bing; Hang-Yan Wang; Chun-Hui Yuan; Dian-Rong Xiu
Journal:  Medicine (Baltimore)       Date:  2020-03       Impact factor: 1.817

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.