Analysis of the clinicopathological features and prognostic factors of primary hepatic neuroendocrine tumors

Introduction

Neuroendocrine neoplasms are a group of heterogeneous tumors that originate from peptidergic neurons and neuroendocrine cells (1). With the widespread use of immunohistochemical techniques and electron microscopy in the pathological diagnosis of tumors, neuroendocrine tumors (NETs) have been found not only in endocrine but also in non-endocrine organs, such as the gastrointestinal tract, pancreas, gall bladder and lung. (2). The incidence of NETs in the gastrointestinal tract was reported to be 45% in the small intestine, 20% in the rectum, 17% in the appendix, 11% in the colon, and 7% in the stomach (2).

NETs of the gastrointestinal tract often spread to the liver, while primary hepatic NETs (PHNETs), first described by Edmondson in 1958, are very rare (3). Existing reports about PHNETs are mostly of small sample sizes, and the clinicopathological characteristics and prognostic factors of PHNETs are still unclear (4–7). Here, we collected and classified the clinicopathological features of 28 PHNETs patients [9 in Wuhan Union Hospital (Wuhan, China), 15 in Tongji Hospital (Wuhan, China), and 4 in Hubei Cancer Hospital (Wuhan, China)] and discussed whether the related clinicopathological indicators can be used to improve the prognostic analysis of PHNETs.

Materials and methods

Ethical approval

Ethical approval was requested and obtained from the Medical Ethics Committee of Tongji Medical College (Wuhan, China). Written informed consent was obtained from all participants.

Clinical data collection

We collected liver tissue specimens by excision or needle biopsy from 32 patients who were diagnosed with PHNETs in Wuhan Union Hospital, Tongji Hospital, and Hubei Cancer Hospital between 2012 and 2017. Among them, 28 patients were of pathological and follow-up data integrity, and thus eligible for histopathological and prognostic analysis. The clinicopathological features of all patients were reviewed and analyzed. Cases were examined by imaging, histopathological and immunohistochemical analysis, and long-term postoperative follow-ups, including ultrasound, enhanced chest computed tomography (CT), and upper and lower gastrointestinal endoscopic examination, were conducted. No primary extrahepatic lesions were found, so all patients were eventually diagnosed with PHNETs. We confirm that we obtained informed consent of all 28 patients.

Observation indexes

Clinical indicators for observation: Tumor size (≤5/>5 cm) and treatment (radical surgery/others). Biochemical indicators: Alpha fetoprotein (AFP; ≤400/>400 ug/l), carcinoembryonic antigen (CEA; ≤5/l/>5 ug/l), carbohydrate antigen 125 (CA125; ≤35/>35 ug/ml), ALT (≤40/>40 U/l), aspartate aminotransferase (AST; ≤40/>40 U/l), albumin (≤35/>35 G/l), and hemoglobin (HB; ≤110/>110 G/l). Pathological indicators: Tumor grading (G1, G2/G3), Ki-67 PI (≤20/>20%), and chromogranin A (CGA; -/+; Fig. 1).

Figure 1. Histological findings in liver tumors. (A) NET G1, histological examination showed that the tumor cells were arranged into trabeculae, gland bubbles or gyrus. The nucleus was centered. Small and round, with relatively uniform size. (B) NET G2, histological examination showed that the tumor cells were arranged in the adenocarcinoma or cerebral gyrus, and the core was larger than NET G1, and moderately atypical. (C) NEC G3, histological examination showed that the tumor cells were arranged in large nests or parenchyma, without organs, and the nuclei were round, elliptical, irregular or spindle, and can be seen in giant cells of the tumor. (D) Immunohistochemistry revealed the tumor cells were positive for Ki-67. (E) Immunohistochemistry revealed the tumor cells were positive for synaptophysin. (F) Immunohistochemistry revealed the tumor cells were positive for chromorgranin A (magnification, ×100). NET, neuroendocrine tumor; G1-3, tumor grades 1–3; NEC, neuroendocrine carcinoma.

Follow-up results

28 patients were followed up. Follow-up time ranged from 2 to 50 months (mean, 18.7 months; median survival time, 18.0 months). No tumor recurrence was found in any of the cases who received a liver transplantation until the end of the follow up. One case had no diarrhea after treatment and survived tumor-free for 16 months. Of the 18 dead cases, 15 were neuroendocrine carcinoma (NEC) and 3 were NET G2. One case of NEC died after a follow-up period of two months. The rest of cases were followed up for more than 5 months.

WHO classification (2010) of tumors of the digestive system. NET classification criteria were as follows: NET G1: Mitotic figure <2/10 HPF and/or PI ≤2%; NET G2: Mitotic figure (2–20)/l0 HPF and/or PI 3–20%; and NEC/G3: Mitotic figure >20/10 HPF and/or Ki-67 PI >20% (8).

Statistical analysis

SPSS statistical software (version 18.0) was used for statistical processing. The indexes age, sex, tumor size, tumor grade, AFP, CEA, CA125, ALT, albumin, HB, CGA, surgery received, and Ki-67 PI were compared between NET (G1, G2) and NEC (G3) applying the Mann-Whitney and Pearson chi-square tests. Variance analysis of the effects of the pathologic indexes on the prognosis was performed by the Kaplan-Meier survival curve and the log-rank test; P<0.05 was considered to indicate a statistically significant difference.

Results

Clinicopathological data

Among the 28 patients, 15 were male and 13 were female, corresponding to a male/female ratio of 1.15:1.0. Patients were aged between 32 and 76 years (mean=53 years). Sixteen patients had clinical symptoms, with 15 patients having epigastric discomfort as their first symptom and one having diarrhea. For the rest 12 patients, no obvious clinical symptoms, except hepatoncus, were found during physical examination (Fig. 2). Five patients had a history of hepatitis B. Auxiliary examinations showed that 1 case (3.5%) had an elevated serum AFP, information of 2 cases (7.1%) were not available, and the rest of cases were in the normal range. For CEA, 1 case (3.5%) had an elevated serum CEA, information of 2 cases (7.1%) were not available, and the rest of cases were in the normal range. For CA199, 4 cases (14.3%) had an elevated serum CA199, information of 2 cases (7.1%) were not available, and the rest of cases were in the normal range. For CA125, 3 cases (10.6%) had an elevated serum CA125, information of two cases (7.1%) were not available, and the rest of the cases were in the normal range. Twenty-two cases were single tumors (78.6%), and 6 cases were multiple tumors (21.4%; Table I). All cases (100%, 28/28) were immunohistochemically positive for synaptophysin. Among these cases were 20 cases (71.4%) in the G3 group, and 14 cases (50%) received the radical operation.

Figure 2. Dynamic liver computed tomography scan revealed a 12×6.5 cm mass in the left lobe of the liver. (A) The arterial phase revealed marked non-uniform enhancement of the tumor and notable necrosis in the center of the mass. (B) The enhanced attenuation of the portal tumor evolved into a low-density shadow. Arrows indicate tumor sites.

Table I. Main demographic, biochemical and clinical characteristics of the 28 primary hepatic neuroendocrine tumor patients.

Table I.

Main demographic, biochemical and clinical characteristics of the 28 primary hepatic neuroendocrine tumor patients.

Variable	Unit	Value
Age	Years	53 (32–76)
Sex	Male	15 (53.5%)
Albumin	g/l	39 (25–49)
ALT	U/l	83 (11–834)
AST	U/l	63 (16–159)
PHNET diameter	cm	6.5 (1.5–18)
AFP	ng/ml	56 (2–1499)
HB	g/l	123 (70–169)
Treatment	Radical operation	14 (50%)
Histological	G3	20 (71.4%)
differentiation

[i] Data are presented as median (range) or absolute frequency (%). ALT, alanine aminotransferase; AST, aspartate aminotransferase; PHNET, primary hepatic neuroendocrine tumor; AFP, α-fetoprotein; HB, hemoglobin; G3, tumor grade 3.

Classification and related prognostic indicators

The 28 cases of PHNETs were divided into the groups NET G1 (3 cases), NET G2 (5 cases), and NEC G3 (20 cases). For each group, the indexes age, sex, tumor size, tumor grade, AFP, CEA, CA125, ALT, albumin, HB, CGA, as well as surgery received were detected, and correlation analysis was performed applying the Mann-Whitney or Pearson chi-square test (Table II). Then, these clinicopathological features and the prognosis were tested by single factor analysis. The groups NET G1 and NET G2 were combined into one group and compared with the NEC G3 group. The survival curve showed that the survival rate of the NET (G1, G2) group was higher than that of the NEC (G3) group (P<0.05). The average survival time was 37.3±5.3 months for the NET group and 14.9±2.5 months for the NEC group. Cases of Ki-67 PI ≤20% were compared with cases of Ki-67 PI >20%, and the survival curve showed that the group of Ki-67 PI ≤20% had a higher total survival rate than the group of Ki-67 PI >20% (P<0.05). The average survival time was 36.1±5.2 months for the group of Ki-67 PI ≤20% and 12.0±1.7 months for the group of Ki-67 PI >20%. The cases of ALT ≤40 U/l were compared with the cases of ALT >40 U/l, and the survival curve showed that the group of ALT ≤40 U/l had a higher total survival rate than the group of ALT >40 U/l (P<0.05). The average survival time was 26.7±4.2 months for the group of ALT ≤40 U/l and 12.4±1.7 months for the group of ALT >40 U/l. Cases of AST ≤40 U/l were compared with cases of AST >40 U/l, and the survival curve showed that the group of AST ≤40 U/l had a higher total survival rate than the group of AST >40 U/l (P<0.05). The average survival time was 28.7±5.0 months for the group of AST ≤40 U/l and 14.4±2.4 months for the group of AST >40 U/l. Cases of CA125 ≤35 ug/ml were compared with cases of CA125 >35 ug/ml, and the survival curve showed that the group of CA125 ≤35 ug/ml had a higher total survival rate than the group of CA125 >35 ug/ml (P<0.05). The average survival time was 24.5±3.8 months for the group of CA125 ≤35 ug/ml and 8.3±3.8 months for the group of CA125 >35 ug/ml. Cases of HB ≤110 G/l were compared with cases of HB >110 G/l, and the survival curve showed that the group of HB >110 G/l had a higher total survival rate than the group of HB ≤110 G/l (P<0.05). The average survival time was 25.5±3.7 months for the HB >110 G/l group and 10.5±2.7 months for the HB ≤110 G/l group. Cases who had received a surgical operation were compared with those who had not received any surgical operation, and the survival curve showed that the operated group had a higher total survival rate than the non-operated group (P<0.05). The average survival time was 31.3±6.1 months for the operated group and 15.3±2.1 months for the non-operated group. The survival time is not correlated to sex, age (≤50 or >50), tumor size (≤5 or >5 cm), and the immunohistochemical result of CGA (negative or positive; P>0.05; Fig. 3). All clinicopathological features that had a positive result in the single-factor analysis were further tested by multiple-factor analysis, revealing that only Ki-67 had a correlation with prognosis. To sum up, testing the effects of various clinicopathological indicators on the prognosis showed that tumor group, Ki-67 PI, CA125, ALT, AST, HB, and whether surgery had been received can significantly affect the survival rate of patients, demonstrating that these indicators have important roles in evaluating the severity and prognosis of PHNETs. Especially Ki-67 PI, which can be an independent prognostic factor. The effects of tumor size, AFP, CEA, CGA, and albumin on severity evaluation and prognosis were limited (Table III).

Figure 3. Patients were divided into low and high age groups, male and female groups, and CGA negative and positive groups; and the survival analysis was conducted respectively, showing no significant difference in overall survival rate (P>0.05). At the same time, the patients were divided into the ALT normal and abnormal groups, AST normal and abnormal groups, net (G1, G2) and NEC (G3) groups, Ki-67 PI >20% and Ki-67 PI ≤20% groups, CA125 abnormal and normal groups, HB abnormal and normal groups, and the radical operation and others groups. Then the survival analysis was conducted respectively, revealing that the overall survival rate is significantly different (P<0.05). ALT, alanine aminotransferase; AST, aspartate aminotransferase; NEC, neuroendocrine carcinoma; G1-3, tumor grades 1–3; CA125, carbohydrate antigen 125; HB, hemoglobin; PI, Ki-67 positive index; CGA, chromogranin A.

Table II. Correlations of histological grade with clinicopathological characteristics.

Table II.

Correlations of histological grade with clinicopathological characteristics.

	Histological grade
Parameters	G1/G2	G3	P-value
Age, years			0.629
≤50	4	8
>50	4	12
Sex			0.811
Male	4	11
Female	4	9
CA125, µg/ml			0.220
≤35	8	15
>35	0	3
Unknown	0	2
Tumor size, cm			0.793
≤5	3	7
>5	3	9
Unknown	2	4
AFP, µg/l			0.497
≤400	8	17
>400	0	1
Unknown	0	2
Number of tumor lesions			0.466
Single	7	15
Multiple	1	5
ALT, U/l			0.021a
≤40	8	11
>40	0	9
AST, U/l			0.004b
≤40	8	8
>40	0	12
HB, g/l			0.159
≤110	1	8
>110	7	12
Treatment			0.094
Radical operation	2	12
Others	6	8
Albumin, g/l			0.053
≤35	0	7
>35	8	13

a P<0.05 and bP<0.01. AFP, α-fetoprotein; ALT, alanine aminotransferase; AST, aspartate aminotransferase; CA125, carbohydrate antigen 125; HB, hemoglobin; G1-3, tumor grades 1–3.

Table III. Cox proportional hazard regression analysis of patients' overall survival.

Table III.

Cox proportional hazard regression analysis of patients' overall survival.

	Univariable			Multivariable
Variable	Hazard ratio	95% CI	P-value	Hazard ratio	95% CI	P-value
Sex (male vs. female)	1.156	0.451–2.967	0.763	–	–	–
Age, years (>50 vs. ≤50)	1.928	0.748–4.972	0.174	–	–	–
ALT, U/l (>40 vs. ≤40)	3.648	1.276–10.429	0.016a	1.021	0.291–47.353	0.312
AST, U/l (>40 vs. ≤40)	2.730	1.079–6.909	0.034a	3.564	0.006–1.110	0.059
HB, g/l (>110 vs. ≤110)	0.256	0.088–0.745	0.012a	1.620	0.110–1.599	0.203
Ki-67 PI (>20% vs. ≤20%)	8.980	2.439–33.064	0.001b	26.069	3.967–171.323	0.001b
CGA (positive vs. negative)	0.824	0.319–2.132	0.690	–	–	–
Tumor diameter, cm (>5 vs. ≤5)	0.791	0.275–2.270	0.662	–	–	–
Treatment (radical operation vs. others)	0.269	0.093–0.779	0.015a	3.176	0.020–1.203	0.075
CA125, µg/ml (>35 vs. ≤35)	4.639	1.191–18.064	0.027a	1.566	0.507–21.748	0.212

a P<0.05

b P<0.001. CI, confidence interval; ALT, alanine aminotransferase; AST, aspartate aminotransferase; HB, hemoglobin; Ki-67 PI, Ki-67 positive index; CGA, chromogranin A; CA125, carbohydrate antigen 125.

Discussion

PHNETs accounts for 0.3–4.0% of the NETs, while reports of PHNETs are mainly of individual cases, so there is very little understanding of the clinicopathological features and the biological behavior of this disease (8–11). Diagnosis of PHNETs depends on three dispensable consecutive stages, the preoperative, intraoperative, and postoperative stage (12). Pathology is the gold standard in NET diagnosis, but it is impossible to distinguish a primary from a metastatic tumor only based on the pathological morphology (11). Therefore, comprehensive and careful intraoperative examinations as well as long-term postoperative follow-ups are essential to detect tiny extrahepatic primary lesions. Follow-up examinations include gastrointestinal endoscopy, abdominal ultrasound, thoracic abdominal CT and MRI. In our study, most of the 28 patients had received CT and MRI examinations, which had similar characteristics. We chosed a patient that had been performed CT scan in Fig. 2, which was representative. We had obtained patient consent for publication of the CT images shown in this manuscript and we had delieved all the imformations of the patient in Fig. 2.

Some researchers put forward that PHNETs diagnosis should focus on the comprehensive examination of NETs in the small intestine, colorectum, bronchus, lung, gall bladder, and pancreas, because the tiny lesions in these tissues may metastasize to the liver (4,12–14). It is not easy to find tiny primary lesions during the process of diagnosis, but postoperative clinical follow-ups and auxiliary examinations are very helpful to detect these potential primary lesions.

In the past, PHNETs has been divided into two categories, carcinoid tumors and NECs. According to the diagnostic criteria of carcinoid tumors, the 28 cases of this study could not be classified as classical carcinoid tumors; therefore, we named them NETs. It is reported that there was no significant difference in the participation of men and women (15). In our study, slightly more men than women participated (1.15:1.0), mostly middle-aged and elderly people (average age=53 years) with single tumors (78.6%), which was consistent with previous literature (4). Our results showed that the average survival time of the NET (G1, G2) group was 37.3 months and that of the NEC group was 14.9 months. The total survival rate of the NET (G1, G2) group was significantly higher than that of the NEC group, indicating that using the WHO classification (2010) to classify PHNETs is reasonable and feasible (16). Some PHNETs are low-grade malignancies, which have a slow clinical progress, but some PHNETs have characteristics like invasive growth, relapse, and even distant metastasis. One case (NET G1, Ki-67 PI=3%, single tumor, radical operation) with a 50-months follow-up showed no tumor recurrence until the end of the follow-up. One case (poorly differentiated, Ki-67 PI about 90%, large patchy necrosis) in G3 died after a follow-up of two months. The pathological features of this patient indicated that the PHNETs was highly malignant, with rapid development and poor prognosis (15). These data showed that PHNETs is a heterogeneous tumor, and it is crucial to classify the PHNETs for guiding clinical prognosis and treatment according to its biological behaviors like slow growth, obvious malignancy, and even metastasis. In the G3 group, tumor tissues were mainly poorly differentiated, Ki-67 PI was high, and the necrosis was often combined. These pathological indicators may be correlated with the prognosis of PHNETs. At the same time, prognosis of patients with abnormal liver function indexes, such as ALT, was worse than for patients with normal liver function indexes, demonstrating that these clinical biochemical indexes may be correlated with the prognosis of PHNETs. In the NET group (G1, G2), more cases showed high expression of Ki-67 than in the NEC group, although still 3 cases had a lower expression of Ki-67. This was similar to the ALT distribution, suggesting that this classification system can predict the severity of tumors to a certain extent, but has some limitations when the grading simply bases on ALT and Ki-67 PI, and the application of other pathological indexes for classification needs further investigation. The two groups did not exhibit any significant differences in tumor size, AFP, CEA, CGA, and albumin. Significant differences in these pathological indicators showed that it is reasonable and feasible to classify PHNETs into NET G1, NET G2, and NEC according to the WHO (2010) classification standard for neuroendocrine neoplasms of the digestive system. Furthermore, this classification can help to predict the severity and prognosis of PHNETs (17). However, although the WHO classification is for these cases identical, the prognosis still exhibits differences. Therefore, whether other pathological indicators have an effect on the prognosis and more accurate evaluation criteria are required needs to be further discussed. Regarding the effects of pathological indicators on the prognosis, the G1, G2 groups had a significantly higher survival rate than the G3 group, prompting that tumor grading has a guiding effect on prognosis. Grading can be used as an effective indicator of the prognosis for the cases where only a small quantity of tumor cells is available, e.g., for needle biopsy. The group of Ki-67 PI ≤20% had a higher total survival rate than the group of Ki-67 PI >20% (P<0.05), suggesting that the expression level of Ki-67 has a guiding effect on the prognosis. The group of AST (ALT) ≤40 U/l had a higher total survival rate than the group of AST (ALT) >40 U/l (P<0.05), suggesting that the levels of liver transaminases have a guiding effect on prognosis. The group of HB >110 G/l had a higher total survival rate than the group of HB ≤110 G/l (P<0.05), indicating that the anemia status has a guiding effect on prognosis. However, liver enzyme levels and low HB values may reflect not cause but result of the malignancy of the PHNETs in regards to the elevated liver enzyme levels and low HB values exhibited by malignant tumors. The group of CA125 ≤35 ug/ml had a higher total survival rate than the group of CA125 >35 ug/ml (P<0.05), indicating that an abnormal rise of CA125 has a guiding effect on prognosis. The operated group had a higher total survival rate than the non-operated group (P<0.05), suggesting that receiving a radical operation has a guiding effect on prognosis. The guiding effects of tumor size, AFP, CEA, CGA, and albumin on the prognosis were limited. It is revealed in this study that poor tumor grading, high expression of Ki-67, poor liver function, and anemia are the main characteristics of malignant tumors: Tumor grading of G3, high expression of Ki-67, poor liver function, anemia, abnormal level of CA125, and lack of radical operation (18,19) are correlated with shorter survival time and poor prognosis. Moreover, the high expression of Ki-67 is an independent prognostic factor. All results support that these pathological indicators can help to predict the severity and prognosis of PHNETs.

Acknowledgements

The authors would like to thank Dr Qiu-Shuang Wang and Dr Xiao-meng Dai (Tongji Medical College) for their suggestions.

Funding

No funding was received.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

Authors' contributions

SY and JH conceived and designed the study. RC and MQ analyzed and interpreted the patient data. RC was a major contributor in writing the manuscript. YC, TZ and XH contributed towards the acquisition of data, and data analysis and interpretation. YL, WS and TX helped with the acquisition of data. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Ethical approval was requested and obtained from the Medical Ethics Committee of Tongji Medical College of Huazhong University of Science and Technology. Written informed consent was obtained from all participants.

Consent for publication

Written informed consent was obtained from all participants.

Competing interests

The authors declare that they have no competing interests.

Glossary

Abbreviations

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References