Citations

Clusterin, a widely expressed, tissue-specific glycoprotein, is a diagnostic marker of several tumor types, including anaplastic large cell lymphoma, follicular dendritic cell sarcoma, and tenosynovial giant cell tumor. A recent study has suggested it is highly expressed by well-differentiated neuroendocrine tumors (NET) arising at most anatomic sites, with the exception of jejunoileal tumors, and that it is similarly not expressed by poorly differentiated neuroendocrine carcinomas (NEC). We sought to validate this result in a large cohort of NETs and NECs. Clusterin immunohistochemistry was performed on tissue microarrays of 255 NETs [45 lung, 4 stomach, 8 duodenum, 75 pancreas (62 primary, 13 metastatic), 107 jejunoileum (69 primary, 38 metastatic), 16 appendix] and 88 NECs (43 visceral, 45 Merkel cell). Extent (%) and intensity (0, 1+, 2+, 3+) of staining were assessed and an H-score (extent x intensity) calculated. An average H-score >5 was considered positive. Clusterin expression was noted in 82.4% of 148 nonjejunoileal NETs (average H-score 183) and only 8.4% of 107 jejunoileal NETs (average H-score, 31), as well as 19.3% of NECs (average H-score, 36). Clusterin is frequently, strongly expressed by NETs of diverse anatomic sites, with the exception of jejunoileal tumors, in which it is only rarely, weakly expressed. It is occasionally, weakly expressed by NECs. Most metastatic NETs of occult origin arise in the pancreas or the jejunoileum. For cases in which an initial site of origin immunopanel (eg, islet 1, PAX6, CDX2) is ambiguous, addition of clusterin may be diagnostically useful, with absence of expression suggesting a jejunoileal origin.

AbstractPrecision medicine is at the forefront of biomedical research. Cancer registries provide rich perspectives and electronic health records (EHRs) are commonly utilized to gather additional clinical data elements needed for translational research. However, manual annotation is resource‐intense and not readily scalable. Informatics‐based phenotyping presents an ideal solution, but perspectives obtained can be impacted by both data source and algorithm selection. We derived breast cancer (BC) receptor status phenotypes from structured and unstructured EHR data using rule‐based algorithms, including natural language processing (NLP). Overall, the use of NLP increased BC receptor status coverage by 39.2% from 69.1% with structured medication information alone. Using all available EHR data, estrogen receptor‐positive BC cases were ascertained with high precision (P = 0.976) and recall (R = 0.987) compared with gold standard chart‐reviewed patients. However, status negation (R = 0.591) decreased 40.2% when relying on structured medications alone. Using multiple EHR data types (and thorough understanding of the perspectives offered) are necessary to derive robust EHR‐based precision medicine phenotypes.

Diffuse idiopathic pulmonary neuroendocrine cell hyperplasia (DIPNECH) remains a poorly understood clinical entity. It is currently classified as a premalignant condition by the World Health Organization (WHO). Symptoms are similar to those associated with obstructive lung disease, including breathlessness and cough. The presentation is often initially ascribed to other diseases such as asthma or chronic obstructive pulmonary disease. Here, we present what we believe is the first described case of DIPNECH diagnosed by transbronchoscopic cryoprobe biopsy. The patient presented with chronic cough, dyspnoea, pulmonary function tests consistent with obstruction, and a computed tomography (CT) scan of chest with multiple nodules. The patient went on to have transbronchoscopic cryoprobe biopsies of the lung, which confirmed the diagnosis of DIPNECH.

Abstract A better understanding of gene-specific risks for development of breast cancer will lead to improved screening, prevention, and therapeutic strategies for individuals identified to carry germline mutations. We performed targeted massively-parallel sequencing to identify mutations and large genomic rearrangements in 26 known or proposed breast cancer susceptibility genes in 2134 BRCA-negative women with familial breast cancer (FBC). A case-control analysis was performed comparing the frequency of internally classified mutations identified in FBC cases to that in non-Finnish European controls from the Exome Aggregation Consortium (ExAC) excluding samples from The Cancer Genome Atlas. Including large genomic rearrangements, mutations were identified in 8.2% of FBC cases compared to 6.2% of ExAC controls, including mutations in high-penetrance genes (0.6% in cases vs. 0.1% in controls), moderate-penetrance genes (3.7% vs 1.7%), and seven cases with two mutations (0.3%). The remainder of FBC cases and ExAC controls had mutations in proposed breast cancer genes (1.6% of cases vs 2.4% of controls), Lynch syndrome genes (0.5% vs. 0.5%) or were heterozygous MUTYH carriers (1.5% vs. 1.5%). Case-control analysis demonstrated significant associations with FBC for ATM, PALB2, and TP53 mutations (OR>3.0, p<10-4), BARD1 mutations (OR=3.2, p=0.012), and CHEK2 truncating mutations (OR=1.6, p=0.041). Our results therefore demonstrate that only approximately 4% of BRCA1/2 negative FBC patients have mutations in genes definitively associated with breast cancer at this time. Large case-control studies are needed to fully evaluate the breast cancer risks associated with moderate penetrance and proposed breast cancer susceptibility genes. Citation Format: Kara N. Maxwell, Thomas Paul Slavin, Jenna M. Lilyquist, Joseph Vijai, Susan L. Neuhausen, Steven N. Hart, Vignesh Ravichandran, Tinu Thomas, Ann Maria, Kasmintan A. Schrader, Raymond Moore, Chunling Hu, Brad Wubbenhorst, Brandon M. Wenz, Kurt D'Andrea, Susan M. Domchek, Mark E. Robson, Paulo Peterlongo, Paolo Radice, James M. Ford, Judy E. Garber, Csilla Szabo, Kenneth Offit, Katherine L. Nathanson, Fergus J. Couch, Jeffrey N. Weitzel. Risks of familial breast cancer associated with known and proposed breast cancer susceptibility genes [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4265. doi:10.1158/1538-7445.AM2017-4265

Abstract BRCA1 deficiency alters the relative proportions of progenitor cells in preneoplastic mammary tissue, and typically associates with breast cancers characterized by genomic instability and a basal-like cell phenotype. Oriented division of progenitor cells is one mechanism these cells use to maintain tissue homeostasis, and to suppress tumor formation. We now show that shRNA-mediated reduction of BRCA1 levels in non-tumorigenic and immortalized or freshly isolated, normal human mammary cells alters their plane of division with graded consequences that include the induction of aneuploidy in progeny cells, perturbation of polarity in spheroid cultures, and inhibition of clonal growth with favored expression of basal features. We also demonstrate a requirement for BRCA1 in establishing cortical asymmetry of NUMA-dynein complexes. Mutation of a single BRCA1 allele (BRCA1 185delAG/+) altered the division axis of isolated cells but their deficient spindle positioning was supervised by CDH1-positive adherens, which sustained oriented divisions and produced colonies with luminal features. These findings reveal a previously unrecognized consequence of mutant BRCA1 on the cell division axis, post-mitotic integrity and phenotype control in normal human mammary epithelial cells. Note: This abstract was not presented at the meeting. Citation Format: Zhengcheng He, Oksana Nemirovsky, Nagarajan Kannan, Connie Eaves, Christopher A. Maxwell. BRCA1 controls the cell division axis and governs ploidy and phenotype in human mammary cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3459. doi:10.1158/1538-7445.AM2017-3459

Single-cell diversity in the brain The cells that make up an organism may all start from one genome, but somatic mutations mean that somewhere along the line of development, an organism's individual cellular genomes diverge. McConnell et al. review the implications and causes of single-cell genomic diversity for brain function. Somatic mutations caused by mobile genetic elements or errors in DNA repair may underlie certain neuropsychiatric disorders. Science , this issue p. eaal1641