Diagnostic miRNA Signatures in Paired Tumor, Plasma, and Urine Specimens From Renal Cell Carcinoma Patients.

BACKGROUND: The incidence of patients diagnosed with renal cell carcinoma (RCC) is increasing. There are no approved biofluid biomarkers for routine diagnosis of RCC patients. This retrospective study aims to identify cell-free microRNA (cfmiR) signatures in urine samples that can be utilized as biomarkers for early diagnosis of sporadic RCC patients. METHODS: Tissue, plasma, and urine samples (n = 221) from 56 sporadic RCC patients and respective normal healthy donors were profiled for 2083 microRNAs (miRs) using the next-generation sequencing-based HTG EdgeSeq miR Whole Transcriptome Assay. DESeq2 (FC |1.2|, false discovery rate <0.05) was performed to identify differentially expressed miRs. Data from RCC tissue samples of The Cancer Genome Atlas database were used for miR validation. RESULTS: We found a 10-miR signature that distinguished RCC tissues from remote normal kidney tissue or benign kidney lesion samples. Additionally, we identified subtype-specific miRs (miR-122-5p, miR-210-3p, and miR-21-3p) and miRs specific for all RCC subtypes (miR-106b-3p, miR-629-5p, and miR-885-5p). We observed that miR-155-5p was associated with tumor size. Using The Cancer Genome Atlas data sets, we validated the miRs found in RCC tissue samples. In plasma or urine analysis, we found cfmiRs that were consistently and significantly upregulated in RCC tissue samples. A 15-cfmiR signature was proposed in urine samples of RCC patients, of which miR-1275 was consistently upregulated in tissue, plasma, and urine samples. CONCLUSIONS: This integrative study found diagnostic miRs/cfmiRs for RCC patients, which were validated using The Cancer Genome Atlas data sets. Distinctive cfmiR signatures found in urine may have clinical utility for the diagnosis of RCC.

Characterization of Lymph Node Tumor Burden in Node-Positive Prostate Cancer Patients after Robotic-Assisted Radical Prostatectomy with Extended Pelvic Lymph Node Dissection.

BACKGROUND: Prostate cancer (PCa) nodal staging does not account for lymph node (LN) tumor burden. The LN anatomical compartment involved with the tumor or the quantified extent of extranodal extension (ENE) have not yet been studied in relation to biochemical recurrence-free survival (BRFS). METHODS: Histopathological slides of 66 pN1 PCa patients who underwent extended pelvic lymph node dissection were reviewed. We recorded metrics to quantify LN tumor burden. We also characterized the LN anatomical compartments involved and quantified the extent of ENE. RESULTS: The median follow-up time was 38 months. The median number of total LNs obtained per patient was 30 (IQR 23-37). In the risk-adjusted cox regression model, the following variables were associated with BRFS: mean size of the largest LN deposit per patient (log2: adjusted hazard ratio (aHR) = 1.91, p < 0.001), the mean total span of all LN deposits per patient (2.07, p < 0.001), and the mean percent surface area of the LN involved with the tumor (1.58, p < 0.001). There was no significant BRFS association for the LN anatomical compartment or the quantified extent of ENE. CONCLUSION: LN tumor burden is associated with BRFS. The LN anatomical compartments and the quantified extent of ENE did not show significant association with BRFS.

Urine Cell-Free MicroRNAs in Localized Prostate Cancer Patients.

Prostate cancer (PCa) is the most common cancer in men. Prostate-specific antigen screening is recommended for the detection of PCa. However, its specificity is limited. Thus, there is a need to find more reliable biomarkers that allow non-invasive screening for early-stage PCa. This study aims to explore urine microRNAs (miRs) as diagnostic biomarkers for PCa. We assessed cell-free miR (cfmiR) profiles of urine and plasma samples from pre- and post-operative PCa patients (n = 11) and normal healthy donors (16 urine and 24 plasma) using HTG EdgeSeq miRNA Whole Transcriptome Assay based on next-generation sequencing. Furthermore, tumor-related miRs were detected in formalin-fixed paraffin-embedded tumor tissues obtained from patients with localized PCa. Specific cfmiRs signatures were found in urine samples of localized PCa patients using differential expression analysis. Forty-two cfmiRs that were detected were common to urine, plasma, and tumor samples. These urine cfmiRs may have potential utility in diagnosing early-stage PCa and complementing or improving currently available PCa screening assays. Future studies may validate the findings.

Recurrent primary hyperparathyroidism due to Type 1 parathyromatosis.

Parathyromatosis is a rare condition consisting of multiple nodules of benign hyperfunctioning parathyroid tissue scattered throughout the neck and superior mediastinum. As a potential cause of recurrent or persistent hyperparathyroidism, parathyromatosis is a challenging condition to diagnose and treat. The optimal evaluation and management of patients with parathyromatosis is not well established. The reported case involves a patient who was initially diagnosed with primary hyperparathyroidism. The diagnosis of Type 1 parathyromatosis was made after the patient developed recurrent hyperparathyroidism with hypercalcemia and osteoporosis 17 years after the initial operation and underwent two additional operations. The majority of parathyromatosis cases are diagnosed in the setting of secondary hyperparathyroidism. Consensus regarding the preoperative diagnosis and evaluation is lacking due to the paucity of cases of this rare clinical entity. Management involves complete surgical extirpation of all identifiable rests of parathyroid tissue. Intra-operative parathyroid hormone level monitoring and frozen section examination are excellent tools that could increase the rates of initial operative success. Despite this, long-term disease remission is rare, and medical therapy, including calcimimetics and bisphosphonates, may be required for postoperative or non-operative management.

Effect of lymphatic mapping on the new tumor-node-metastasis classification for colorectal cancer.

PURPOSE: Sensitive detection methods and accurate reporting are necessary to determine the prognostic significance of micrometastases (MM) and isolated tumor cells (ITCs) in lymph nodes that drain colorectal cancers (CRCs). This study examined the role of lymphatic mapping (LM) in the application of the new tumor-node-metastasis (TNM) classification for MM and ITC. PATIENTS AND METHODS: All patients at the John Wayne Cancer Institute underwent LM immediately before standard resection of primary CRC between 1996 and 2001. Sentinel nodes (SNs) were identified using blue dye and/or radiotracer and were examined by hematoxylin-eosin (H&E) staining, cytokeratin immunohistochemistry, and multilevel sectioning. The comparison group comprised 370 patients whose primary CRCs were resected without LM during the same period at the same institution. RESULTS: LM was successfully performed in 115 of 120 (96%) patients and correctly predicted the tumor status of the nodal basin in 110 of 115 (96%) patients. Thirty-seven patients (32%) were lymph node-positive by H&E, ITC and MM were found in 23 patients (29.4%) whose lymph nodes were negative by H&E. Tumor deposits were found in the SN only in 29 patients (50%). Nodal involvement was identified for 14.3%, 30%, 74.6%, and 83.3% of T1, T2, T3, and T4 tumors, respectively, in the study group, and for 6.8%, 8.5%, 49.3%, and 41.8% of T1, T2, T3, and T4 tumors, respectively, in the comparison group. The study group had a higher percentage of nodal metastases (53% v 36%; P <.01) and a higher incidence of MM and ITC (29.4% v 1.9%; P <.0001). The mean number of lymph nodes found in the study group (14) was also significantly more than the number found in the comparison group (10; P <.00001). CONCLUSION: Conventional examination of lymph nodes for CRC is inadequate for the detection of MM and ITC as described in the new TNM classification. Thus, LM and focused SN analysis should be considered to fully stage CRC.