Citations

Abstract Fusion genes and fusion gene products are widely employed as biomarkers and therapeutic targets in hematopoietic cancers, but their applications have yet to be appreciated in solid tumors. Here, we report the use of SnowShoes-FTD, a powerful new analytic pipeline that can identify fusion transcripts and assess their redundancy and tumor subtype-specific distribution in primary tumors. In a study of primary breast tumors, SnowShoes-FTD was used to analyze paired-end mRNA-Seq data from a panel of estrogen receptor (ER)+, HER2+, and triple-negative primary breast tumors, identifying tumor-specific fusion transcripts by comparison with mRNA-Seq data from nontransformed human mammary epithelial cell cultures plus the Illumina Body Map data from normal tissues. We found that every primary breast tumor that was analyzed expressed one or more fusion transcripts. Of the 131 tumor-specific fusion transcripts identified, 86 were “private” (restricted to a single tumor) and 45 were “redundant” (distributed among multiple tumors). Among the redundant fusion transcripts, 7 were unique to ER+ tumors and 8 were unique to triple-negative tumors. In contrast, none of the redundant fusion transcripts were unique to HER2+ tumors. Both private and redundant fusion transcripts were widely expressed in primary breast tumors, with many mapping to genomic loci implicated in breast carcinogenesis and/or risk. Our finding that some fusion transcripts are tumor subtype-specific suggests that these entities may be critical determinants in the etiology of breast cancer subtypes, useful as biomarkers for tumor stratification, or exploitable as cancer-specific therapeutic targets. Cancer Res; 72(8); 1921–8. ©2012 AACR.

Health care provider’s acceptance of telemonitoring is pivotal for implementation. The aim of this study was to determine provider’s feelings about telemonitoring using a qualitative method. In regard to method, we interviewed physicians, nurse practitioners, and registered nurses to explore their attitudes toward telemonitoring. Thematic and content analysis strategies were used to identify core concepts and develop categories for coding interview data. Results reveal that providers view telemonitoring as most appropriate for specific types of patients, especially older patients with chronic medical conditions. Telemonitoring offers reassurance to patients and providers. Some providers expressed concerns about excessive information that at times may not be clinically useful. In conclusion, home telemonitoring provides reassurance to patients and health care providers. Taking provider preferences into consideration when implementing telemonitoring may improve provider acceptance of this form of care.

Periocular tumors are common in infancy. The most common periocular tumors are capillary hemangiomas, which are present in 1-2% of newborns and develop in 10%–12% of children by the age of 1 year old. Deep capillary hemangiomas may be more challenging to diagnose than superficial capillary hemangiomas and can be confused with other orbital lesions. Deep orbital hemangiomas can mimic teratoma, lymphangioma, rhabdomyosarcoma, metastatic neuroblastoma, and granulocytic sarcoma. In this paper, we describe 2 pediatric cases where previously diagnosed dermoid cyst and dacrocystocele were found to be capillary hemangiomas upon biopsy. Approaches to distinguish capillary hemangiomas from other periocular tumors are further discussed. To our knowledge, this is the first case report of periocular hemangiomas imitating a dermoid cyst and a dacrocystocele. These cases emphasize the importance of including infantile hemangiomas in the differential diagnosis of subcutaneous periocular abnormalities.

AbstractThe accuracy of theFramingham risk score (FRS) in identifying patients with nonalcoholic fatty liver disease (NAFLD) at higher 10‐year coronary heart disease (CHD) risk remains unknown. We aimed at evaluating both the baseline probability ofCHDas predicted by theFRSand the actual long‐term occurrence ofCHDinNAFLDpatients. This was a longitudinal study of a community‐based cohort. A total of 309NAFLDpatients were followed up for 11.5 ± 4.1 years (total 3554 person‐years). The overall calculated 10‐yearCHDrisk was significantly higher in theNAFLDcohort than the absoluteCHDrisk predicted by theFRSfor persons of the same age and gender (10.9 ± 9.3% vs. 9.9 ± 5.9%, respectively,P < 0.0001), and higher in men than women (12.6 ± 10.3% vs. 9.6 ± 8.1%, respectively,P = 0.006). New onsetCHDoccurred in 34 patients (11% vs. 10.9% predicted at baseline,P = NS), whereas 279 (89%) patients did not developCHD. Using multivariable analysis, theFRSwas the only variable significantly associated with new onsetCHD(OR = 1.13, 95%CI = 1.05–1.21;P = 0.001). AFRScut‐point of 11 in women, and 6 in men had a sensitivity of 80% and 74%, respectively, and a negative predictive value of 97% and 93% respectively.NAFLDpatients have a higher 10‐yearCHDrisk than the general population of the same age and gender. TheFRSaccurately predicts the higher 10‐yearCHDrisk inNAFLDpatients, and helps identify those patients expected to derive the most benefit from early intervention to preventCHDevents.

Abstract Percent mammographic breast density (PMD) is a strong heritable risk factor for breast cancer. However, the pathways through which this risk is mediated are still unclear. To explore whether PMD and breast cancer have a shared genetic basis, we identified genetic variants most strongly associated with PMD in a published meta-analysis of five genome-wide association studies (GWAS) and used these to construct risk scores for 3,628 breast cancer cases and 5,190 controls from the UK2 GWAS of breast cancer. The signed per-allele effect estimates of single-nucleotide polymorphisms (SNP) were multiplied with the respective allele counts in the individual and summed over all SNPs to derive the risk score for an individual. These scores were included as the exposure variable in a logistic regression model with breast cancer case–control status as the outcome. This analysis was repeated using 10 different cutoff points for the most significant density SNPs (1%–10% representing 5,222–50,899 SNPs). Permutation analysis was also conducted across all 10 cutoff points. The association between risk score and breast cancer was significant for all cutoff points from 3% to 10% of top density SNPs, being most significant for the 6% (2-sided P = 0.002) to 10% (P = 0.001) cutoff points (overall permutation P = 0.003). Women in the top 10% of the risk score distribution had a 31% increased risk of breast cancer [OR = 1.31; 95% confidence interval (CI), 1.08–1.59] compared with women in the bottom 10%. Together, our results show that PMD and breast cancer have a shared genetic basis that is mediated through a large number of common variants. Cancer Res; 72(6); 1478–84. ©2012 AACR.