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Almost all uterine mesenchymal tumours have been historically classified as either smooth muscle or endometrial stromal neoplasms. Recent application of molecular techniques has identified numerous lesions with distinctive genetic abnormalities and clinicopathological characteristics. Newly discovered uterine sarcoma subtypes include high‐grade endometrial stromal sarcomas with BCOR genetic abnormalities, fibrosarcoma‐like uterine sarcomas with NTRK rearrangements and COL1A–PDGFRB fusions, as well as undifferentiated uterine sarcomas with SMARCA4 mutations. Novel PLAG1 and PGR fusions have been identified in subsets of myxoid and epithelioid leiomyosarcomas. Some uterine tumours resembling ovarian sex‐cord tumour harbour GREB1 and ESR1 rearrangements. Histological and immunophenotypical features as well as underlying genetic abnormalities defining these lesions are discussed.

The results of the current study demonstrate that computer models can be used successfully to distinguish benign from malignant pancreatic cytology. The fact that the model can categorize atypical cases into benign or malignant with 77% accuracy highlights the great potential of this technology. Although further study is warranted to validate its clinical applications in pancreatic and perhaps other areas of cytology as well, the potential for improved patient outcomes using MNN for image analysis in pathology is significant. Cancer Cytopathol 2017;125:926-33. © 2017 American Cancer Society.

Purpose: Copy number-high endometrial carcinomas (ECs) were described by The Cancer Genome Atlas as high-grade endometrioid and serous cancers showing frequent copy number alterations (CNAs), low mutational burden (i.e. non-hypermutant), near universal TP53 mutation and unfavorable clinical outcomes. We sought to investigate and compare the clinicopathologic and molecular characteristics of non-hypermutant TP53-altered ECs of four histologic types.Design: TP53-mutated ECs, defined as TP53-mutant tumors lacking microsatellite instability or pathogenic POLE mutations, were identified (n=238) in a cohort of 1,239 ECs subjected to clinical massively parallel sequencing of 410-468 cancer-related genes. Somatic mutations and CNAs

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