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Oncology Letters 2018-Jun

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

Només els usuaris registrats poden traduir articles
Inicieu sessió / registreu-vos
L'enllaç es desa al porta-retalls
Ren-Wang Chen
Meng-Jun Qiu
Yaobing Chen
Tao Zhang
Xiao-Xiao He
Ying Li
Wen-Jia Sun
Tao Xie
Sheng-Li Yang
Jian-Li Hu

Paraules clau

Resum

Neuroendocrine tumors (NETs) of the gastrointestinal tract often spread to the liver, while primary hepatic NETs (PHNETs), first described by Edmondson in 1958, are very rare. The majority of existing reports regarding PHNETs have small sample sizes, and the clinicopathological characteristics and prognostic factors are still unclear. The aim of the present study was to analyze the clinicopathological features and explore the prognostic factors of PHNETs. From March 2012 to March 2017, 28 cases of PHNETs were retrospectively evaluated to analyze the clinicopathological features and explore the prognostic factors of PHNETs. The 28 PHNETs patients were males (n=15) and females (n=13) aged between 32 and 76 years (mean=53 years). Among them, 16 patients had clinical symptoms. The remaining 12 patients had no obvious clinical symptoms, only hepatoncus was observed during physical examination. Single-factor analysis showed that carbohydrate antigen 125 (CA125), alanine aminotransferase (ALT), aspartate aminotransferase (AST), hemoglobin (HB), Ki-67 positive index (PI), surgical treatment and pathological grading were correlated to PHNET prognosis (P<0.05); multifactor analysis revealed that Ki-67 PI was associated with the prognosis (P<0.05). Thus, the prognosis of PHNETs may be effectively predicted using the indexes of CA125, ALT, AST, HB, Ki-67 PI, pathological grading and surgical treatment. Pathological classification of grade 3, high expression of Ki-67 PI, abnormal elevation of CA125, abnormalities of ALT and AST, anemia and lack of radical operation indicated a poor prognosis. High expression of Ki-67 PI was an independent prognostic factor for PHNETs.

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