Incidence, characteristics, and comorbidities of a complete unselected Danish cohort of patients with thymic epithelial tumors.

Background And Purpose: We report the incidence, characteristics, and comorbidities of the complete unselected Danish cohort of patients with thymic epitheliums (TETs), which may serve as evidence for guiding treatment, surveillance, and counselling of TET patients.

Patients And Methods: All patients diagnosed with TETs from January 1st, 2015, to December 31st, 2020, were identified using the Danish Pathology Data Registry. Data on patient characteristics, comorbidities, and tumor histology were collected from electronic medical records available for all patients.

Sarcomas with sclerotic epithelioid phenotype harboring novel EWSR1-SSX1 fusions.

Undifferentiated sarcomas remain difficult to classify. Despite the remarkable advances in sarcoma classification made by the increased application of RNA sequencing in clinical practice, the unexpected result of a novel gene fusion raises further questions regarding the tumor histogenesis and subclassification. In this study, we present two high grade sarcomas with epithelioid phenotype occurring in the deep-soft tissues (shoulder, thigh) of young adults which based on the non-specific pathologic findings were deemed unclassified and subjected to targeted RNA sequencing for further diagnostic interpretation.

Cancers of unknown primary origin (CUP) are characterized by chromosomal instability (CIN) compared to metastasis of know origin.

Background: Cancers of unknown primary (CUPs) constitute ~5% of all cancers. The tumors have an aggressive biological and clinical behavior. The aim of the present study has been to uncover whether CUPs exhibit distinct molecular features compared to metastases of known origin.

Development and validation of a microRNA based diagnostic assay for primary tumor site classification of liver core biopsies.

Identification of the primary tumor site in patients with metastatic cancer is clinically important, but remains a challenge. Hence, efforts have been made towards establishing new diagnostic tools. Molecular profiling is a promising diagnostic approach, but tissue heterogeneity and inadequacy may negatively affect the accuracy and usability of molecular classifiers.

Modeling tissue contamination to improve molecular identification of the primary tumor site of metastases.

Motivation: Contamination of a cancer tissue by the surrounding benign (non-cancerous) tissue is a concern for molecular cancer diagnostics. This is because an observed molecular signature will be distorted by the surrounding benign tissue, possibly leading to an incorrect diagnosis. One example is molecular identification of the primary tumor site of metastases because biopsies of metastases typically contain a significant amount of benign tissue.