The lack of symptoms at the early stages of clear cell renal cell carcinoma (ccRCC) allows the tumour to metastasize, leading to a dramatic reduction in patient survival. Therefore, we studied and set up a method based on urinary microRNAs (miRNAs) for the diagnosis of ccRCC. First, miRNA expression in ccRCC specimens and kidney tissues from healthy subjects (HSs) was investigated through analysis of data banks and validated by comparing expression of miRNAs in ccRCC and adjacent non-cancerous kidney tissue specimens by RT-qPCR. Subsequently, we developed an algorithm to establish which miRNAs are more likely to be found in the urine of ccRCC patients that indicated miR-122, miR-1271, and miR-15b as potential interesting markers. The evaluation of their levels and three internal controls in the urine of 13 patients and 14 HSs resulted in the development of a score (7p-urinary score) to evaluate the presence of ccRCC in patients. The resulting area under the Receiver Operating Characteristic (ROC) curve, sensitivity, and specificity were equal to 0.96, 100% (95% CI 75–100%), and 86% (95% CI 57–98%), respectively. In conclusion, our study provides a proof of concept that combining the expression values of some urinary miRNAs might be useful in the diagnosis of ccRCC.
Adrenal myelolipoma is a rare mesenchymal tumour with benign biological behaviour that is mainly composed of mature adipose and myeloid tissue. Both sexes are equally affected, most commonly between the fifth and seventh decades of life. The diagnosis of adrenal myelolipoma is mostly incidental. Although it may occasionally be associated with necrosis, rupture and haemorrhage, causing abdominal pain, this tumour is usually asymptomatic. Consequently, management is conservative, while surgical treatment is reserved for symptomatic cases, or for masses growing quickly or to a size >6 cm. Giant myelolipomas (sized >10 cm) are rare. Open radical adrenalectomy is the standard treatment for giant myelolipomas, while the minimally invasive approach has been used in only few cases. We herein report the case of a patient with a giant adrenal myelolipoma who underwent robotic partial adrenalectomy. To the best of our knowledge, this is the largest giant adrenal myelolipoma treated with robotic surgery reported in the literature to date. A 55-year-old male patient underwent an abdominal computed tomography scan during follow-up after radical prostatectomy for prostate cancer Gleason Score 6 (ISUP 1) due to biochemical recurrence. The examination revealed a right hypodense adrenal mass, sized 16×13 cm. Abdominal magnetic resonance imaging confirmed the presence of characteristics suggestive of a myelolipoma. The patient did not report any symptoms. Due to the benign characteristics of the mass, robotic partial adrenalectomy and enucleation of the mass were performed. The operative time and estimated blood loss were 205 min and 100 ml, respectively. No intra- or postoperative complications occurred. The patient was mobilized on the first postoperative day and the time to flatus was 36 h; the length of hospitalization was 4 days. Histological examination confirmed the diagnosis of adrenal myelolipoma, sized 18×11.5×6 cm. No tumour recurrence occurred over a follow-up period of 12 months. In conclusion, robotic surgery allows performing partial adrenalectomy with a lower risk of bleeding and with preservation of healthy adrenal tissue, which is of paramount importance for the patient as it reduces recovery time and the need for medical substitution therapy.
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