Vol 75, No 1 (2024)
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Prediction of disease recurrence in patients after complete pancreatic NET (PanNET) G2 resection

Helena Olearska1, Anna Sowa-Staszczak1, Karolina Morawiec-Sławek1, Anna Kurzyńska1, Magdalena Kolasa2, Edyta Tkacz2, Małgorzata Szumińska2, Alicja Hubalewska-Dydejczyk1, Marta Opalinska1
Pubmed: 38497396
Endokrynol Pol 2024;75(1):102-108.

Abstract

Introduction: The number of detected pancreatic neuroendocrine tumours (PanNETs) has been increasing over the last decades. Surgical resection remains the only potentially curative treatment, but the management is still controversial. This study aimed to compare patients after radical PanNET G2 resection to determine the most important predictive factors for relapse.

Material and methods: All patients with histologically confirmed PanNET G2 who underwent successful surgery between 2006 and 2020 with the intention of radical treatment were enrolled.

Results: In total, 44 patients were eligible for the analysis. The average follow-up was 8.39 ± 4.5 years. Disease recurrence was observed in 16 (36.36%) patients. The dominant location of the primary tumour was the tail of the pancreas (43.18%), especially in the subgroup with disease recurrence (56.25%). The smallest tumour diameter associated with the PanNET G2 recurrence was 22 mm. The relationship
between the largest dimension of the tumour with a division of < 4 cm vs. > 4 cm and the relapse was close to statistical significance. Recurrence was associated with a larger tumour size (p = 0.018). There was a statistically significant relationship and a weak correlation between Ki-67 (p = 0.036, V Cramer = 0.371) and disease relapse.

Conclusion: For the group of PanNET G2 patients after radical surgery, the overall risk of recurrence was 36.36%, with the highest rate in the first 5 years after surgery, but in individual cases it occurred significantly later, even 10 years after surgery. The most important predictive factors of the PanNET G2 recurrence was Ki-67 over 5.75% and size of tumour > 4 cm.

Original paper

Endokrynologia Polska

DOI: 10.5603/ep.98635

ISSN 0423–104X, e-ISSN 2299–8306

Volume/Tom 75; Number/Numer 1/2024

Submitted: 21.12.2023

Accepted: 22.12.2023

Early publication date: 21.02.2024

Prediction of disease recurrence in patients after complete pancreatic NET (PanNET) G2 resection

Helena Olearska1Anna Sowa-Staszczak1Karolina Morawiec-Sławek1Anna Kurzyńska1Magdalena Kolasa2Edyta Tkacz2Małgorzata Szumińska2Alicja Hubalewska-Dydejczyk1Marta Opalińska1
1Chair and Department of Endocrinology, Jagiellonian University Medical College, Krakow, Poland
2Department of Endocrinology, Oncological Endocrinology, Nuclear Medicine and Internal Medicine, University Hospital, Krakow, Poland

Marta Opalińska, Department: Chair and Department of Endocrinology, Jagiellonian University Medical College, ul. Jakubowskiego 2, 30–688 Kraków, Poland, tel: +48 12 400 23 00; e-mail: marta.opalinska@uj.edu.pl

This article is available in open access under Creative Common Attribution-Non-Commercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0) license, allowing to download articles and share them with others as long as they credit the authors and the publisher, but without permission to change them in any way or use them commercially

Abstract
Introduction: The number of detected pancreatic neuroendocrine tumours (PanNETs) has been increasing over the last decades. Surgical resection remains the only potentially curative treatment, but the management is still controversial. This study aimed to compare patients after radical PanNET G2 resection to determine the most important predictive factors for relapse.
Material and methods: All patients with histologically confirmed PanNET G2 who underwent successful surgery between 2006 and 2020 with the intention of radical treatment were enrolled.
Results: In total, 44 patients were eligible for the analysis. The average follow-up was 8.39 ± 4.5 years. Disease recurrence was observed in 16 (36.36%) patients. The dominant location of the primary tumour was the tail of the pancreas (43.18%), especially in the subgroup with disease recurrence (56.25%). The smallest tumour diameter associated with the PanNET G2 recurrence was 22 mm. The relationship between the largest dimension of the tumour with a division of < 4 cm vs. > 4 cm and the relapse was close to statistical significance. Recurrence was associated with a larger tumour size (p = 0.018). There was a statistically significant relationship and a weak correlation between proliferation index Ki-67 (p = 0.036, V Cramer = 0.371) and disease relapse.
Conclusion: For the group of PanNET G2 patients after radical surgery, the overall risk of recurrence was 36.36%, with the highest rate in the first 5 years after surgery, but in individual cases it occurred significantly later, even 10 years after surgery. The most important predictive factors of the PanNET G2 recurrence was Ki-67 over 5.75% and size of tumour > 4 cm. (Endokrynol Pol 2024; 75 (1): 102–108)
Key words: PanNET G2; pancreatic NET; neuroendocrine tumours; pancreatic tumours; disease recurrence; NET

Introduction

Neuroendocrine neoplasms (NENs) are relatively rare and heterogeneous lesions, originating from neuroendocrine cells of the diffuse endocrine system. NENs comprise approximately 2% of all malignancies, and pancreatic neuroendocrine neoplasms (PanNENs) account for 1–2% of all pancreatic tumours. The number of detected PanNENs has been steadily increasing over the last decade. According to a study by the Copenhagen European Neuroendocrine Tumour Society (ENETS) centre of excellence, the number of incidental findings of pancreatic neuroendocrine tumours (PanNETs) among other NETs increased from 19% (2010–2011) to 57% (2019–2020) [1]. The apparent increase in frequency is attributed to the increased awareness of NENs and the more sensitive detection methods.

According to the European Neuroendocrine Tumour Society (ENETS), the histological maturity of the tumour (G grading) is of key clinical importance [1]. Since 2020, G2 PanNETs have been defined as tumours with a proliferation index (Ki-67) between 3% and 20% and a mitotic activity of 2–20 figures of division in 10 consecutive high-power fields (HPF). However, it has been suggested since the 1990s that Ki-67 > 5% may be an independent predictor of survival. Until now, the applicable ENETS, the World Health Organization (WHO), and national criteria do not recognize this value as a cut-off point [2–4]. It should be remembered that PanNETs G2 are a heterogeneous group of tumours in terms of Ki-67, lesion morphology, and other factors, all of which can determine the course of the disease and the probability of its recurrence.

Surgical resection is the only potentially curative treatment for PanNETs. However, numerous studies have shown that the prognosis of small localized PanNENs, especially G1, is good, and a watchful waiting strategy may be an alternative to surgery in patients with small, non-functioning tumours [2, 3].

Therefore, the management of non-functioning PanNENs, particularly G2, is still controversial [5, 6]. Despite evidence of a different malignancy potential of PanNETs G1 and G2, postoperative management is the same in all patients [3]. If radical removal of the G1 or G2 tumour is successful, there are no indications for adjuvant chemotherapy. So far, no consistent protocols have been developed based on the likelihood of relapse, although it affects nearly 20% of patients with well-differentiated PanNETs and significantly shortens their survival [4]. Ki-67 value, lymph node involvement, and tumour size are essential for prognostic significance. However, these parameters do not affect medical management after curative resection of PanNET G1 or G2. Various authors have already described the estimation of PanNET recurrence risk as challenging [7, 8]; better knowledge of prognostic factors will enable correct and personalized decisions regarding follow-up and treatment.

The aim of the study was to determine the most important clinical factors predisposing to relapse of PanNET G2 after radical resection.

Material and methods

The database of the Endocrinology Department at the University Hospital in Krakow was searched for patients with both functional and non-functional tumours, histologically confirmed as PanNET G2, who successfully underwent surgery with the intention of radical treatment from 2006 to 2020.

The exclusion criteria included PanNENs at a grade other than G2 at the time of diagnosis, PanNENs as a component of hereditary syndromes, NENs in more than one location, and a positive history of other malignancies.

A CONSORT diagram for the final study population is shown in Figure 1. Histological differentiation was assessed according to the current WHO classification for PanNEN, valid at the time of diagnosis, based on the morphological mitotic index [G1 < 2/10 high-power field (HPF), G2 2–20/10 HPF, and G3 > 20/10 HPF] or immunohistochemically evaluated tumour proliferative activity according to the Ki-67 index (G1, G2, and G3 < 3%, 3–20%, > 20%, respectively). In cases where the mitotic index differed from the Ki-67 index, a higher index was used.

178339.png
Figure 1. Patient inclusion and exclusion algorithm. PanNET pancreatic neuroendocrine tumour; NEC neuroendocrine carcinoma; MANEC mixed adenoneuroendocrine carcinoma

Recurrence of the disease was defined as local relapse or the appearance of local or distant metastases. The follow-up time was defined as the time from surgery to the patient’s last visit or the time to death.

In all patients, sex, age at diagnosis, presence of clinical symptoms, and diagnostic path were evaluated (Tab. 1). The differences between genders, tumour location, Ki-67 index, largest dimension, hormonal activity, and relapse were analysed.

Table 1. Patients’ complaints leading to diagnosis

Symptom

Number of patients

Symptomatic patients

15 (34.09%)

Abdominal pain and weight loss

8

Hypoglycaemia

4

Ankle swelling

1

Erythematous changes

2

Asymptomatic patients

29 (65.91%)

Statistical analysis

The statistical analysis was performed using IBM SPSS Statistics 26.0. The descriptive statistics were provided as mean, median, range, and percentage values. The normality of the data was tested using the Shapiro-Wilk test. Correlations were calculated using the Spearman’s rho correlation coefficient. The U Man-Whitney test, Kruskal-Wallis test, and c2 test were used to assess the statistical significance of differences between groups. For statistically significant values in the c2 test, Cramer’s V correlation coefficient was calculated. Receiver operating characteristic (ROC) curves were used to calculate the Youden index to define the optimum cut-off values for Ki-67 for the binary classification of patients. The results were considered to be statistically significant with p < 0.05.

Ethics statement

The study protocol was approved by the Local Ethics Committee of the Jagiellonian University in Krakow, decision number KB 1072.6120.106.2022 (25.05.2022). Written informed consent for participation was not required for this study, in accordance with the national legislation and the institutional requirements.

Results

We identified 183 patients diagnosed with confirmed PanNETs, who were treated and followed up in our centre from January 2006 to February 2020 (Fig. 1). The mean age of the patients was 58.4 ± 11.8 years (range 26–91), and 32% (n = 14) of patients were male. The dominant location of PanNETs was the tail of the pancreas (43.2%, n = 19). The average follow-up was 8.39± 4.5 years. Disease relapse was observed in 16 (36.36%) patients, and the mean time to recurrence was 3 years and 5 months (range: 3–132 months, median 26 months). The localization of metastatic lesions at recurrence is shown in Table 2. In 4 patients (4/42; 9.52%) relapse occurred within one year of follow-up. In 5-year follow up, 3 patients were lost and a further 7 experienced disease recurrence (7/39; 17.94%). Within 10 years, 2 more patients with progression were lost to follow-up, and the next 4 patients experienced relapse (4/37; 10.81%). On further observation, 2 patients with progression failed to follow-up, and one patient experienced relapse (1/35; 2.86%). Two others dropped out of the follow-up group. During the entire follow-up period, 4 patients died, 2 from NET progression (10 and 11 years after surgery, respectively) and 2 from causes other than NET.

Table 2. Localization of metastatic lesions at recurrence

Recurrence localization

Number of patients

Distant metastases

9 (56.25%)

Liver

5

Abdominal lymph nodes

2

Liver + abdominal lymph nodes

1

Bones

1

Local recurrence

5 (31.35%)

Local recurrence + liver metastases

2 (12.5%)

TOTAL

16 (100%)

At 5-year and 10-year follow-up, the OS (overall survival) was 100% and 88.57%, respectively, and recurrence-free survival (RFS) was 71.79% and 48.57%, respectively. Time to recurrence, OS, and RFS for the whole cohort are presented in Table 3.

Table 3. Frequency of relapse, overall survival (OS), and recurrence-free survival (RFS) for < 1 year, 1-5 years, 5-10 years, > 10 years follow-up

Time range

Relapse (%, mean age at relapse)

OS

RFS

< 1 year

4/42 (9.52%, 59.75 ± 5.74)

42/42 (100%)

38/42 (79.17%)

1–5 years

7/39 (17.94%, 58.28 ± 14.24)

39/39 (100%)

28/39 (71.79%)

5–10 years

4/37 (10.81%, 68.75 ± 7.14)

37/37 (100%)

22/37 (59.46%)

> 10 years

1/35 (2.86%, 78)

31/35 (88.57%)

17/35 (48.57%)

Clinical features influencing the risk of recurrence

All patients included in the study underwent surgery with the intention of radical treatment. The average time from diagnosis to surgical treatment was 3–5 months, and 2 patients who initially refused surgery were operated on 4 and 7 years after diagnosis, respectively. Distal pancreatectomy with splenectomy (n = 17, 38.6%) was the most common surgical procedure performed. The most frequent postoperative complication was the formation of an abscess in the surgical bed found in 15 (34.09%) patients. The Ki-67 ranged from 2.5% to 15% (median of 5%). The radical nature of surgery was confirmed by follow-up imaging studies, including computed tomography, and somatostatin receptor imaging (SRI). At the time of the first follow-up visit after the surgery, chromogranin A (CgA) was elevated in 50% of obtained samples, with the average level being 6.74 ± 5.05 nmol/L (ref. range 0–6 nmol/L). The patients’ and lesions’ characteristics are presented in Table 4.

Table 4. Characteristics of patients and pancreatic neuroendocrine tumours (PanNET) G2 lesions. For variables with a distribution other than normal, the range is given in parentheses

Variable

All patients (n = 44)

Recurrence (n = 16)

No recurrence (n = 28)

Hormonally active (n = 15)

Hormonally inactive (n = 29)

Sex (female)

65.9%

31%

69%

75%

25%

p = 0.307

p = 0.336

Age at diagnosis

58.36 ± 11.84

59.31 ± 10.41

57.46 ± 12.58

57.07 ± 13.91

59.03 ± 10.82

p = 0.855

p = 0.508

Location: tail of pancreas (%)

43.18

56.25

35.71

40

48.27

p = 0.186

p = 0.954

Ki-67 (%)

Median (range)

Me = 5

(3–15)

Me = 5.5

(3–15)

Me = 4.0

(3–12)

Me = 5

(3–6)

Me = 5

(3–15)

Z = –1.640; p = 0.101

Z = –0.195, p = 0.846

Lesion (largest dimension) [mm]

Median (range)

Me = 26

(9-122)

Me = 25.0

(22–79)

Me = 25.0

(9–122)

Me = 25

(16–65)

Me = 27.17

(9–122)

Z = –2.372; p = 0.018

Z = –0.063, p = 0.949

CgA after surgery [nmol/L]

Mean ± SD

6.74 ± 5.25

6.87 ± 6.98

6.67 ± 4.02

7.49 ± 6.54

6.56 ± 5.12

p = 0.306

0.723

Relapse (%)

36.36

31.25

37.93

p = 0.906

Hormonal activity of lesion (%)

34.09

31.25

35.71

p = 0.906

No significant relationship was found between symptomatic presentation and the disease recurrence; however, the percentage of patients with relapse was higher for asymptomatic patients (42.9% vs. 25%). There was no significant relationship between location of the tumour and recurrence (p = 0.298); however, tumours in the pancreatic tail relapsed more frequently than in the body or head (47.4% vs. 42.9% vs. 21.4%, respectively). There was a trend showing a difference between the ages of symptomatic and asymptomatic patients at diagnosis (53.31 ± 13.12 years vs. 60.89 ± 10.12 years, respectively, p = 0.057), i.e. asymptomatic patients were older. Spearman’s rho correlation coefficient showed that higher age was negatively correlated with lower Ki-67 (p = 0.043) and postsurgical CgA (p = 0.002). No relationship was found between the relapse and the time to surgery or longer duration of symptoms.

Larger tumour size significantly increased the risk of recurrence; the mean diameter of tumours with recurrence was 46.3 mm vs. 28.9 mm in tumours that did not recur (p = 0.018). The smallest tumour that recurred had a diameter of 22 mm. Overall, there was a trend indicating that recurrences were more common in patients with tumours > 4 cm (62.5%) than in patients with tumours up to 4 cm (28.0%), p = 0.077.

In the histological examination, CgA and synaptophysin were positive in all patients. The other markers cannot be reliably compared due to the discrepancy of the tests performed by different laboratories and at different times. As PanNET G2 tumours are extremely rarely encapsulated, the lesion invades the pancreatic parenchyma in each case. Vascular infiltration (n = 5), adipose tissue infiltration (n = 2), or nerve infiltration (n = 1) were described as histopathological findings in 20% of patients.

According to our study, the cut-off point based on the Youden index in the ROC analysis for Ki-67 in relation to the recurrence was 5.75% (recurrence risk 55.6% vs. 21.7%, p = 0.064). There was a statistically significant relationship and weak correlation between sex and Ki-67 value; Ki-67 > 5.75% was more frequent in women (42.1% vs. 7.7%, p = 0.033, V Cramer = 0.376). There was no difference between the risk of relapse in men and in women (46.7% vs. 31%; p = 0.307). No relationship was found between values of Ki-67 (over vs. under 5.75%) and the hormonal activity of the tumour, the occurrence of symptoms before diagnosis, the presence of postoperative complications, or the location of the tumour within the pancreas. Patients with Ki-67 > 5.75% had larger tumours on histopathological examination (45.0 vs 25.0 mm, p = 0.028). Tumours > 4 cm were more frequently connected with Ki-67 > 5.75% (p = 0.053). Patients with tumours of Ki-67 > 5.75% showed a trend toward shorter time to recurrence (p = 0.076). The comparison of patients with Ki-67 < 5.75% and > 5.75% in terms of quantitative variables is shown in Table 5.

Table 5. Comparison of patients with proliferation index Ki-67 < 5.75% and > 5.75% in terms of quantitative variables

Variables

Ki-67 (%)

Mann-Whitney U Test

< 5.75

> 5.75

M ± SD/Me

M ± SD/Me

Z

p

Age at diagnosis [years]

58.65 ± 12.63

51.00 ± 10.86

–1.637

0.102

Time to surgery [months]

4.0

3.0

–0.696

0.486

Lesion (largest dimension) [mm]

25.00

45.00

–2.202

0.028

CgA after surgery [nmol/l]

5.55

4.32

–0.435

0.664

Recurrence-free survival [months]

29.40

16.10

–1.776

0.076

Discussion

The grading and staging of PanNETs are prognostically useful in the assessment of the course of the disease [9–12]. To date, several attempts have been made to identify prognostic factors affecting the risk of PanNET recurrence. Ausania et al. indicated that tumour size > 2 cm, Ki-67 > 5%, or MC > 2 HPF, as well as lymph node metastases, allow the identification of patients with G1–G2 PanNENs with a high risk of recurrence after tumour resection and therefore a much shorter survival [13]. Takikawa et al. developed a new preoperative scoring system for predicting the aggressiveness of non-functioning PanNETs (NF-PanNETs). They identified tumour size > 2 cm on contrast-enhanced computed tomography (CT), tumour non-vascularity, and Ki-675% on endoscopic ultrasound-guided fine-needle aspiration specimens as independent factors associated with relapse [4]. Genç et al. proposed a new categorization G1/G2 PanNET to predict recurrence after curative resection based on the Ki-67 index. Lesions with Ki-67 6–20% were more likely to relapse within 5 years and cause significantly shorter survival, thereby Genç et al. stratified patients with such lesions into a high-risk group [6].

Literature reports about PanNET size determining unfavourable prognosis are inconsistent [14]. In the current study, tumour size > 4 cm seems a reasonable cut-off point because it was close to statistical significance. Genç et al. reached similar conclusions in 2018, stating that size > 4 cm is independently associated with recurrence [6].

Also, the value of Ki-67 being a cut-off point is under debate. A Dutch study involving 280 patients confirmed that shifting the cut-off point for PanNET G2 tumours to Ki-67 > 5% will allow for better identification of tumours at high risk of disease recurrence [2]. In this way, patients with Ki-67 in the 3–5% range will avoid unnecessary tests that burden both them and the health care system. In our study 80% of patients with disease recurrence had Ki-67 > 5%, and the cut-off point based on the Youden index in the ROC analysis for Ki-67 in relation to the recurrence was 5.75%, i.e. even higher. Genç et al. indicated that tumour size greater than 4 cm, tumour grade according to WHO, Ki-67 > 5%, lymph node metastases, perineural invasion, and vascular infiltration were unfavourable prognostic factors for recurrence within 5 years of surgery. It is worth noting that cases of late relapse even 10 years after curative surgery have been described in the literature [4], which was also seen in our observation.

Sixty to ninety per cent of PanNETs are hormonally inactive, and they used to be detected in advanced stages due to their asymptomatic course. This trend changed in recent years with improvements in diagnostic methods [6]. Partelli et al. found no correlation between age and NF-PanNET size or proliferative index in patients after curative resection; therefore, an a priori aggressive approach is not justified in young patients with small NF-PanNET, because the long-life expectancy probably does not increase the risk of malignant transformation [15]. Li et al. stated that asymptomatic course, primary location other than head of the pancreas, and being female and married were protective factors, especially in the elderly, among the whole population with PanNET [16].

Bettini et al. showed a close correlation between the tumour size and its malignancy in non-functioning PanNETs, and in randomly detected, asymptomatic PanNETs2 cm in size a non-operative approach is recommended [17]. Other authors suggest preoperative biopsy and determination of Ki-67 in patients with tumours 1–2 cm in size to evaluate the indications for surgery [18]. Such a management appears rational; in our cohort the smallest lesion associated with recurrence was 22 mm in diameter. In the retrospective work of Primavesi et al., patient histories were analysed in terms of preoperative diagnosis, postoperative complications, and subsequent control, treatment, and the disease recurrence. Tumour size of 2 cm, 60 years of age, poor grading, and metastatic disease at the time of surgery were independently associated with worse overall survival (OS) [19]. A comparison of Primavesi’s results with the conclusions of this article is not possible due to the different groups of patients; in Primavesi, patients with G2 or G3 tumours were analysed as one group, and Ki-67 values for individual patients were not provided. Prospective studies such as ASPEN are necessary to determine the predictors with greater accuracy [20]. Lingaku Lee et al. found CgA and NETest to be most useful during the follow-up period in the diagnosis of residual disease, as well as in the early detection of relapse [21]. However, the determination of CgA concentration appears to be imperfect because it is influenced by factors not related to neuroendocrine tumours (in particular medications used and /or kidney insufficiency), and the NETest is not performed routinely.

PanNETs are rarely encapsulated, which makes tissue infiltration of the surrounding structures an important problem. According to the ENETS 2017 guidelines, a necessary element in the histopathological report is the evaluation of the surgical margins; however, long-term survival was confirmed also among patients with G2 PanNETs that infiltrates surgical margins [22]. Zhang et al. showed in a multivariate analysis that perivascular invasion, vascular invasion, and positive margins had no significant effect on postoperative PanNET recurrence [23]. Similarly, in our study, the tissue infiltration seems to have little to no impact on disease recurrence.

Ziogas et al. tried to analyse whether surgery for non-functional PanNETs of 1–2 cm would be beneficial or if surgery should be individualized [24]. At the same time, other authors stated that surgery is currently the only curative option [24, 25]; therefore, surgery should be offered to each patient with lesions > 2 cm and is absolutely necessary in those with lesions > 4 cm. However, some authors suggest that survival in patients with PanNET is driven mostly by tumour grade and not by other factors [26].

The main limitation of our study is the retrospective nature of collecting data from only one centre. This led to the analysis of a relatively small group of patients with different follow-up times. In addition, the patients were selected from the group who underwent surgery, so we did not compare them with patients selected for PanNET follow-up.

Conclusion

For the entire group of PanNET G2 patients after radical surgery, the overall risk of recurrence was 36.4%, with the highest rate in the first 5 years after surgery, but in individual cases it occurred significantly later, even 10 years after surgery. Due to the relevant heterogeneity of G2 tumours, it is advisable to individualize its management, taking into account the tumour parameters. The most important predictive factors of the PanNET G2 recurrence after radical surgery were Ki-67 > 5.75% and the largest dimension of the tumour > 4 cm. The smallest tumour diameter associated with PanNET G2 recurrence was 22 mm. Age at diagnosis was negatively correlated with Ki-67. To determine the significance of these parameters, it is necessary to analyse a larger number of patients with disease relapse combined with a longer follow-up.

Acknowledgments

None declared.

Data availability statement

The data presented in this study are available on request from the corresponding author.

Author contributions

H.O., M.O., and A.S.S. contributed to the conception of the work; H.O., K.M.S., A.K., M.K., and E.T. extracted data; M.O., H.O., and M.S. drafted the manuscript and contributed to the acquisition, analyses, and interpretation; M.O., A.S.S., and A.H.D. critically revised the manuscript and contributed to interpretation. All authors gave final approval and agreed to be accountable for all aspects of the work, ensuring integrity and accuracy. All authors have read and agreed to the published version of the manuscript.

Conflict of interest

None declared.

Funding

None declared.

Acknowledgements

None declared.

References

  1. Stensbøl AB, Krogh J, Holmager P, et al. Incidence, Clinical Presentation and Trends in Indication for Diagnostic Work-Up of Small Intestinal and Pancreatic Neuroendocrine Tumors. Diagnostics (Basel). 2021; 11(11), doi: 10.3390/diagnostics11112030, indexed in Pubmed: 34829377.
  2. Bettini R, Partelli S, Boninsegna L, et al. Tumor size correlates with malignancy in nonfunctioning pancreatic endocrine tumor. Surgery. 2011; 150(1): 75–82, doi: 10.1016/j.surg.2011.02.022, indexed in Pubmed: 21683859.
  3. Kurita Y, Hara K, Kuwahara T, et al. Comparison of prognosis between observation and surgical resection groups with small sporadic non-functional pancreatic neuroendocrine neoplasms without distant metastasis. J Gastroenterol. 2020; 55(5): 543–552, doi: 10.1007/s00535-019-01655-w, indexed in Pubmed: 31858231.
  4. Kos-Kudła B, Foltyn W, Malczewska A, et al. Update of the diagnostic and therapeutic guidelines for gastro-entero-pancreatic neuroendocrine neoplasms (recommended by the Polish Network of Neuroendocrine Tumours) [Aktualizacja zaleceń ogólnych dotyczących postępowania diagnostyczno-terapeutycznego w nowotworach neuroendokrynnych układu pokarmowego (rekomendowane przez Polską Sieć Guzów Neuroendokrynnych)]. Endokrynol Pol. 2022; 73(3): 387–454, doi: 10.5603/EP.a2022.0049, indexed in Pubmed: 36059171.
  5. Kurita Y, Hara K, Kuwahara T, et al. Comparison of prognosis between observation and surgical resection groups with small sporadic non-functional pancreatic neuroendocrine neoplasms without distant metastasis. J Gastroenterol. 2020; 55(5): 543–552, doi: 10.1007/s00535-019-01655-w, indexed in Pubmed: 31858231.
  6. Genç CG, Falconi M, Partelli S, et al. Recurrence of Pancreatic Neuroendocrine Tumors and Survival Predicted by Ki-67. Ann Surg Oncol. 2018; 25(8): 2467–2474, doi: 10.1245/s10434-018-6518-2, indexed in Pubmed: 29789972.
  7. Kelgiorgi D, Dervenis C. Pancreatic neuroendocrine tumors: the basics, the gray zone, and the target. F1000Res. 2017; 6: 663, doi: 10.12688/f1000research.10188.1, indexed in Pubmed: 28529726.
  8. Yang M, Ke NW, Zhang Yi, et al. TNM staging of pancreatic neuroendocrine tumors: an observational analysis and comparison by both AJCC and ENETS systems from 1 single institution. Medicine (Baltimore). 2015; 94(12): e660–82795, doi: 10.1097/MD.0000000000000660, indexed in Pubmed: 25816036.
  9. Scarpa A, Mantovani W, Capelli P, et al. Pancreatic endocrine tumors: improved TNM staging and histopathological grading permit a clinically efficient prognostic stratification of patients. Mod Pathol. 2010; 23(6): 824–833, doi: 10.1038/modpathol.2010.58, indexed in Pubmed: 20305616.
  10. Pezzilli R, Partelli S, Cannizzaro R, et al. Ki-67 prognostic and therapeutic decision driven marker for pancreatic neuroendocrine neoplasms (PNENs): A systematic review. Adv Med Sci. 2016; 61(1): 147–153, doi: 10.1016/j.advms.2015.10.001, indexed in Pubmed: 26774266.
  11. Shyr BS, Shyr BU, Chen SC, et al. Impact of tumor grade on pancreatic neuroendocrine tumors. Asian J Surg. 2022; 45(12): 2659–2663, doi: 10.1016/j.asjsur.2022.01.094, indexed in Pubmed: 35246343.
  12. Kos-Kudła B, Rosiek V, Borowska M, et al. Pancreatic neuroendocrine neoplasms - update of the diagnostic and therapeutic guidelines (recommended by the Polish Network of Neuroendocrine Tumours) [Nowotwory neuroendokrynne trzustki - uaktualnione zasady diagnostyki i leczenia (rekomendowane przez Polską Sieć Guzów Neuroendokrynych)]. Endokrynol Pol. 2022; 73(3): 491–548, doi: 10.5603/EP.a2022.0050, indexed in Pubmed: 36059173.
  13. Ausania F, Senra Del Rio P, Gomez-Bravo MA, et al. Can we predict recurrence in WHO G1-G2 pancreatic neuroendocrine neoplasms? Results from a multi-institutional Spanish study. Pancreatology. 2019; 19(2): 367–371, doi: 10.1016/j.pan.2019.01.007, indexed in Pubmed: 30683515.
  14. Dąbkowski K, Starzyńska T. Management of small, asymptomatic, non-functioning pancreatic neuroendocrine tumours: follow-up, ablation, or surgery? Endokrynol Pol. 2023; 74(1): 25–30, doi: 10.5603/EP.a2022.0080, indexed in Pubmed: 36519652.
  15. Partelli S, Muffatti F, Rancoita PM, et al. The size of well differentiated pancreatic neuroendocrine tumors correlates with Ki-67 proliferative index and is not associated with age. Dig Liver Dis. 2019; 51(5): 735–740, doi: 10.1016/j.dld.2019.01.008, indexed in Pubmed: 30723019.
  16. Li G, Tian ML, Bing YT, et al. Clinicopathological features and prognosis factors for survival in elderly patients with pancreatic neuroendocrine tumor: A STROBE-compliant article. Medicine (Baltimore). 2019; 98(11): e14576, doi: 10.1097/MD.0000000000014576, indexed in Pubmed: 30882623.
  17. Bettini R, Partelli S, Boninsegna L, et al. Tumor size correlates with malignancy in nonfunctioning pancreatic endocrine tumor. Surgery. 2011; 150(1): 75–82, doi: 10.1016/j.surg.2011.02.022, indexed in Pubmed: 21683859.
  18. Milione M, Maisonneuve P, Pellegrinelli A, et al. Ki-67 and presence of liver metastases identify different progression-risk classes in pancreatic neuroendocrine neoplasms (pNEN) undergoing resection. Eur J Surg Oncol. 2019; 45(5): 755–760, doi: 10.1016/j.ejso.2018.10.052, indexed in Pubmed: 30366875.
  19. Primavesi F, Klieser E, Cardini B, et al. ASSO pNEN Study Group. Exploring the surgical landscape of pancreatic neuroendocrine neoplasia in Austria: Results from the ASSO pNEN study group. Eur J Surg Oncol. 2019; 45(2): 198–206, doi: 10.1016/j.ejso.2018.08.016, indexed in Pubmed: 30262324.
  20. Partelli S, Ramage JK, Massironi S, et al. Management of Asymptomatic Sporadic Nonfunctioning Pancreatic Neuroendocrine Neoplasms (ASPEN) ≤2 cm: Study Protocol for a Prospective Observational Study. Front Med (Lausanne). 2020; 7: 598438, doi: 10.3389/fmed.2020.598438, indexed in Pubmed: 33425946.
  21. Lee L, Ito T, Jensen RT. Prognostic and predictive factors on overall survival and surgical outcomes in pancreatic neuroendocrine tumors: recent advances and controversies. Expert Rev Anticancer Ther. 2019; 19(12): 1029–1050, doi: 10.1080/14737140.2019.1693893, indexed in Pubmed: 31738624.
  22. Arvold ND, Willett CG, Fernandez-del Castillo C, et al. Pancreatic neuroendocrine tumors with involved surgical margins: prognostic factors and the role of adjuvant radiotherapy. Int J Radiat Oncol Biol Phys. 2012; 83(3): e337–e343, doi: 10.1016/j.ijrobp.2011.12.068, indexed in Pubmed: 22414286.
  23. Zhang P, Li YL, Qiu XD, et al. Clinicopathological characteristics and risk factors for recurrence of well-differentiated pancreatic neuroendocrine tumors after radical surgery: a case-control study. World J Surg Oncol. 2019; 17(1): 66, doi: 10.1186/s12957-019-1606-8, indexed in Pubmed: 30975157.
  24. Ziogas IA, Schmitz R, Moris D, et al. The Role of Surgery for Pancreatic Neuroendocrine Tumors. Anticancer Res. 2022; 42(2): 629–639, doi: 10.21873/anticanres.15520, indexed in Pubmed: 35093860.
  25. Orditura M, Petrillo A, Ventriglia J, et al. Pancreatic neuroendocrine tumors: Nosography, management and treatment. Int J Surg. 2016; 28 Suppl 1: S156–S162, doi: 10.1016/j.ijsu.2015.12.052, indexed in Pubmed: 26708853.
  26. Fahmy JN, Varsanik MA, Hubbs D, et al. Pancreatic neuroendocrine tumors: Surgical outcomes and survival analysis. Am J Surg. 2021; 221(3): 529–533, doi: 10.1016/j.amjsurg.2020.12.037, indexed in Pubmed: 33375953.