Cardiac and Intramuscular Metastases Following Nephroureterectomy for Metachronous Urothelial Carcinoma.

BACKGROUND We present a case of metachronous cardiac and intramuscular metastases in a patient with a known history of radical nephroureterectomy for upper-tract urothelial carcinoma (UTUC). CASE REPORT A 58-year-old man had a history of metachronous renal pelvis urothelial carcinoma with prior left radical nephroureterectomy. He was also diagnosed with malignancy-associated deep vein thrombosis (DVT) and was on rivaroxaban. He presented at an oncology follow-up consult with shortness of breath and right scapular lump. CT scan revealed a soft-tissue mass at the surgical bed suspicious for local recurrence, as well as intracardiac hypodensities and intramuscular nodules in the right latissimus dorsi and right adductor muscles. The intracardiac hypodensities were located in the left atrial appendage and inter-atrial septum. Given that the patient had a history of DVT and in a pro-thrombotic state, differentials for the intracardiac densities included intracardiac thrombi or metastases. The intramuscular hypodensities were rim-enhancing. Given that the patient was on rivaroxaban, differentials included hematomas or metastases. As there was no overlying bruising and the lesions remained unchanged in size clinically, they were treated as metastases. The patient was treated with clexane but re-presented with worsening of shortness of breath and palpitations. CT scan showed increased size of intracardiac lesions, suggesting no response to anticoagulation, and therefore were likely metastatic in nature. He completed a 2-year course of IV pembrolizumab and was in complete remission. CONCLUSIONS Our case highlights the importance of this clinically challenging scenario when patients with known malignancy and on anticoagulation present with cardiac or musculoskeletal symptoms. Though these patients are at risk of thrombus and haematoma, cardiac and intramuscular metastasis should be considered, as the prognosis is guarded.

Development of a microRNA Panel for Classification of Abnormal Mammograms for Breast Cancer.

Mammography is extensively used for breast cancer screening but has high false-positive rates. Here, prospectively collected blood samples were used to identify circulating microRNA (miRNA) biomarkers to discriminate between malignant and benign breast lesions among women with abnormal mammograms. The Discovery cohort comprised 72 patients with breast cancer and 197 patients with benign breast lesions, while the Validation cohort had 73 and 196 cancer and benign cases, respectively. Absolute expression levels of 324 miRNAs were determined using RT-qPCR. miRNA biomarker panels were identified by: (1) determining differential expression between malignant and benign breast lesions, (2) focusing on top differentially expressed miRNAs, and (3) building panels from an unbiased search among all expressed miRNAs. Two-fold cross-validation incorporating a feature selection algorithm and logistic regression was performed. A six-miRNA biomarker panel identified by the third strategy, had an area under the curve (AUC) of 0.785 and 0.774 in the Discovery and Validation cohorts, respectively, and an AUC of 0.881 when differentiating between cases versus those with benign lesions or healthy individuals with normal mammograms. Biomarker panel scores increased with tumor size, stage and number of lymph nodes involved. Our work demonstrates that circulating miRNA signatures can potentially be used with mammography to differentiate between patients with malignant and benign breast lesions.

A Circulating miRNA Signature for Stratification of Breast Lesions among Women with Abnormal Screening Mammograms.

Although mammography is the gold standard for breast cancer screening, the high rates of false-positive mammograms remain a concern. Thus, there is an unmet clinical need for a non-invasive and reliable test to differentiate between malignant and benign breast lesions in order to avoid subjecting patients with abnormal mammograms to unnecessary follow-up diagnostic procedures. Serum samples from 116 malignant breast lesions and 64 benign breast lesions were comprehensively profiled for 2,083 microRNAs (miRNAs) using next-generation sequencing. Of the 180 samples profiled, three outliers were removed based on the principal component analysis (PCA), and the remaining samples were divided into training (n = 125) and test (n = 52) sets at a 70:30 ratio for further analysis. In the training set, significantly differentially expressed miRNAs (adjusted p < 0.01) were identified after correcting for multiple testing using a false discovery rate. Subsequently, a predictive classification model using an eight-miRNA signature and a Bayesian logistic regression algorithm was developed. Based on the receiver operating characteristic (ROC) curve analysis in the test set, the model could achieve an area under the curve (AUC) of 0.9542. Together, this study demonstrates the potential use of circulating miRNAs as an adjunct test to stratify breast lesions in patients with abnormal screening mammograms.

Four cases of echogenic breast lesions: a case series and review.

Echogenic breast lesions are generally thought to be benign. We herein report four cases of echogenic breast lesions that were seen at our centre over 38 months. One patient had a prior history of wide excision and radiotherapy for breast cancer and was imaged as part of routine cancer surveillance, while the other three were recalled for further assessment following an abnormal screening mammogram. All four patients were assessed on ultrasonography, which demonstrated an echogenic lesion in each patient. All four lesions underwent ultrasonography-guided core biopsy, followed by excision biopsy. The indications for biopsy were interval increase in the size of lesion or indeterminate features demonstrated in the lesion. Three lesions were benign, while the lesion from the patient who had received previous radiotherapy was angiosarcoma. Not all echogenic lesions are benign and lesions with suspicious features on ultrasonography should undergo biopsy.