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. 2023 Dec 12;23(1):436.
doi: 10.1186/s12876-023-03076-9.

The association between jaundice and poorly differentiated pancreatic neuroendocrine neoplasms (Ki67 index > 55.0%)

Yongkang Liu #  1 , Jiangchuan Wang #  1 , Hao Zhou  1 , Zicheng Wei  1 , Jianhua Wang  1 , Zhongqiu Wang  1 , Xiao Chen  2
Affiliations

The association between jaundice and poorly differentiated pancreatic neuroendocrine neoplasms (Ki67 index > 55.0%)

Yongkang Liu et al. BMC Gastroenterol. .

Abstract

Background: Jaundice occurs in some pancreatic disease. However, its occurrences and role in pancreatic neuroendocrine neoplasms (PNENs) has not been well studied. In this study we showed the association between jaundice and the risk of high grade and poorly differentiated PNENs.

Methods: Ninety-three patients with head-neck PNENs were included. Poorly differentiated pancreatic neuroendocrine neoplasms were defined by a ki67 index > 55.0%. Logistic regression was used to show the association between demographic information, clinical signs and symptoms and the risk of poorly differentiated tumors. A nomogram model was developed to predict poorly differentiated tumor.

Results: Eight of 93 PNEN patients (8.6%) had jaundice. The age and ki67 index in patients with jaundice were significantly higher than those patients without jaundice. All jaundice occurred in patients with grade 3 PNENs. Mutivariable regression analysis showed that age (odds ratio(OR) = 1.10, 95% confidence interval (CI):1.02-1.19), tumor size (OR = 1.42, 95%CI:1.01-2.00) and jaundice (OR = 14.98, 95%CI: 1.22-184.09) were associated with the risk of poorly differentiated PNENs. The age and size combination showed a good performance in predicting poorly differentiated PNENs (area under the curve (AUC) = 0.81, 95% CI: 0.71-0.90). The addition of jaundice further improved the age- and size-based model (AUC = 0.86, 95% CI: 0.78-0.91). A nomogram was developed based on age, tumor size and jaundice.

Conclusion: Our data showed that jaundice was associated with the risk of high grade PNENs and poorly differentiated PNENs.

Keywords: Grade; Jaundice; Pancreatic neuroendocrine neoplasms.

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Conflict of interest statement

None.

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The Ki-67 index in pancreatic neuroendocrine neoplasms with or without jaundice
Fig. 2
Fig. 2
The receiver operating characteristic (ROC) curve for age, tumor size and jaundice in identifying poorly differentiated pancreatic neuroendocrine neoplasms (PNENs). A: ROC curve for age, tumor size and jaundice alone in predicting poor differentiated PNENs. B: ROC curve for age + size (Model 1) and age + tumor size + jaundice in predicting poor differentiated PNENs.
Fig. 3
Fig. 3
Nomogram to predict poorly differentiated pancreatic neuroendocrine neoplasms (PNENs) (A). Age, tumor size and jaundice were included in the nomogram model. Calibration curve (B) showed a good agreement between the classifications and actual observations
See this image and copyright information in PMC

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