Integrative bioinformatics links HNF1B with clear cell carcinoma and tumor-associated thrombosis.

Clear cell carcinoma (CCC) is a histologically distinct carcinoma subtype that arises in several organ systems and is marked by cytoplasmic clearing, attributed to abundant intracellular glycogen. Previously, transcription factor hepatocyte nuclear factor 1-beta (HNF1B) was identified as a biomarker of ovarian CCC. Here, we set out to explore more broadly the relation between HNF1B and carcinomas with clear cell histology.

CDX2 is an amplified lineage-survival oncogene in colorectal cancer.

The mutational activation of oncogenes drives cancer development and progression. Classic oncogenes, such as MYC and RAS, are active across many different cancer types. In contrast, "lineage-survival" oncogenes represent a distinct and emerging class typically comprising transcriptional regulators of a specific cell lineage that, when deregulated, support the proliferation and survival of cancers derived from that lineage.

Endometriosis does not confer improved prognosis in ovarian carcinoma of uniform cell type.

The role of endometriosis in ovarian cancer, disease progression, and survival is a subject of active investigation. A series of 144 ovarian cancers with clear cell or endometrioid histology or associated endometriosis, all classified on the basis of strict histologic criteria, was evaluated to further explore the relationship between endometriosis-associated ovarian cancer and age at presentation, FIGO stage, histology, presence of synchronous primary disease elsewhere in the mullerian tract, and survival. Patients with endometrioid carcinomas were significantly younger (mean, 52 y) in comparison with patients with either clear cell carcinoma (mean, 55 y) or mixed tumors (mean, 59 y; P=0.

Statistical analysis of surgical pathology data using the R program.

An understanding of statistics is essential for analysis of many types of data including data sets typically reported in surgical pathology research papers. Fortunately, a relatively small number of statistical tests apply to data relevant to surgical pathologists. An understanding of when to apply these tests would greatly benefit surgical pathologists who read and/or write papers.