[Neuroendocrine tumors of the kidney: report of 3 cases and review of the literature].

Nan Fang Yi Ke Da Xue Xue Bao

Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, China.

Published: March 2011

Objective: To study the biological and clinicopathological characteristics of neuroendocrine tumors of the kidney (KNETs) for improving the diagnosis and treatment of this diseases.

Methods: The pathological and clinical features of 3 KNET cases treated in Sun Yat-sen University Cancer Center between 1999 and 2010 were summarized, and the the histogenesis, pathological and immunohistochemical characteristics, diagnosis and prognosis of KNETs were analyzed with review of all reported cases worldwide.

Results: All the 3 patients had waist masses but without clinical manifestations of carcinoid syndrome, and underwent resection of the tumors. The postoperative pathological diagnosis was carcinoid carcinoma in 2 patients and Wilms tumor with neuroendocrine differentiation in 1 patient. Immunohistochemical examination showed that the tumors were positively stained for cytokeratin and vimentin; positivity for neuron-specific enolase and synaptophysin was found in 2 cases, and chromogranin positivity in 1 case. After the operation, 1 patient received chemotherapy, 1 had biotherapy and radiotherapy, and 1 received no further treatment. During the follow-up from 6 months to 6 years, 1 patient died of tumor metastasis, 1 was lost to follow-up, and 1 showed no recurrence until now.

Conclusions: KNETs has specific pathological characteristics. Abdominal masses, acute loin pain and hematuria are the most common symptoms. A definite diagnosis relies on pathology and immunohistochemistry. For early carcinoid carcinoma, surgical resection is curable, but in advanced cases, the prognosis is poor and comprehensive therapy is recommended.

Download full-text PDF

Source

Publication Analysis

Top Keywords

tumors kidney
8
carcinoid carcinoma
8
cases
5
[neuroendocrine tumors
4
kidney report
4
report cases
4
cases review
4
review literature]
4
literature] objective
4
objective study
4

Similar Publications

Background: Ras-GTPase-activating protein (GAP)-binding protein 1 (G3BP1) emerges as a pivotal oncogenic gene across various malignancies, notably including nasopharyngeal carcinoma (NPC). The use of automated image analysis tools for immunohistochemical (IHC) staining of particular proteins is highly beneficial, as it could reduce the burden on pathologists. Interestingly, there have been no prior studies that have examined G3BP1 IHC staining using digital pathology.

View Article and Find Full Text PDF

Background: Understanding based on up-to-date data on the burden of non-communicable diseases (NCDs) is limited, especially regarding how subtypes contribute to the overall NCD burden and the attributable risk factors across locations and subtypes. We aimed to report the global, regional, and national burden of NCDs, subtypes, and attributable risk factors in 2021, and trends from 1990 to 2021 by age, sex, and socio-demographic index (SDI).

Materials And Methods: We used data from the Global Burden of Disease Study 2021 to estimate the prevalence, deaths, and disability-adjusted life years (DALYs) for NCDs and subtypes, along with attributable risk factors.

View Article and Find Full Text PDF

Background: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of kidney cancer with a high metastatic rate and high mortality rate. The molecular mechanism of ccRCC development, however, needs further study. Aurora kinase B (AURKB) functions as an important oncogene in various tumors; therefore, in the present study, we aimed to explore the mechanism by which AURKB affects ccRCC development.

View Article and Find Full Text PDF

The synchronous occurrence of pancreatic neuroendocrine neoplasm (PNEN) and clear cell renal cell carcinoma (ccRCC) in one patient is extremely rare. Synchronous resection of both tumours is preferred over a two-stage procedure if possible. The robotic da Vinci Xi platform allows for multi-quadrant surgery with oncological outcomes comparable to those of laparoscopic or open surgery.

View Article and Find Full Text PDF

Background: The spinal column is a frequent site for metastases, affecting over 30% of solid tumor patients. Identifying the primary tumor is essential for guiding clinical decisions but often requires resource-intensive diagnostics.

Purpose: To develop and validate artificial intelligence (AI) models using noncontrast MRI to identify primary sites of spinal metastases, aiming to enhance diagnostic efficiency.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!