Citations

Purpose We previously reported the eradication of human epidermal growth factor receptor 2 (HER2)– amplified human xenografts in mice by inhibition of the HER2 pathway with lapatinib and trastuzumab to block all homo- and heterodimer signaling as well as by blockade of estrogen receptor (ER) when expressed. In this clinical trial, we sought to translate these findings to patients using targeted therapy without chemotherapy. Patients and Methods Women with stages II to III HER2-positive breast cancers were eligible. They received trastuzumab once per week (4 mg/kg loading, then 2 mg/kg) and lapatinib 1000 mg once per day for 12 weeks. Women with ER-positive tumors also received letrozole (plus a luteinizing hormone–releasing hormone [LHRH] agonist if premenopausal). Pathologic response was assessed by ER status. Biopsies were obtained at baseline, weeks 2 and 8, and time of surgery. Results Sixty-six patients were enrolled, and 64 were eligible and evaluable for response. Median tumor size was 6 cm (range, 1.5 to 30 cm). Adverse events were mainly grades 1 to 2 (GI, 63%; skin, 46%). Grade 3 metabolic, GI, and liver (18%; 12 patients) and grade 4 liver toxicities (one patient) were also observed. Overall, in-breast pathologic complete response (pCR; yp T 0 - is ) was 27% (ER positive, 21%; ER negative, 36%). The rate of low-volume residual disease ( yp T 1a-b ) was 22% (ER positive, 33%; ER negative, 4%). Conclusion In patients with locally advanced HER2-positive breast cancer, our approach of targeted therapy only resulted in a high pCR rate without chemotherapy. Our data support the hypothesis that selected patients with HER2-positive tumors may not need chemotherapy, and more-complete blockade of HER receptors and ER is an effective strategy worthy of further study.

Abstract Background: Ovarian cancer is a leading cause of cancer-related death among women. In an effort to understand contributors to disease outcome, we evaluated single-nucleotide polymorphisms (SNP) previously associated with ovarian cancer recurrence or survival, specifically in angiogenesis, inflammation, mitosis, and drug disposition genes. Methods: Twenty-seven SNPs in VHL, HGF, IL18, PRKACB, ABCB1, CYP2C8, ERCC2, and ERCC1 previously associated with ovarian cancer outcome were genotyped in 10,084 invasive cases from 28 studies from the Ovarian Cancer Association Consortium with over 37,000-observed person-years and 4,478 deaths. Cox proportional hazards models were used to examine the association between candidate SNPs and ovarian cancer recurrence or survival with and without adjustment for key covariates. Results: We observed no association between genotype and ovarian cancer recurrence or survival for any of the SNPs examined. Conclusions: These results refute prior associations between these SNPs and ovarian cancer outcome and underscore the importance of maximally powered genetic association studies. Impact: These variants should not be used in prognostic models. Alternate approaches to uncovering inherited prognostic factors, if they exist, are needed. Cancer Epidemiol Biomarkers Prev; 22(5); 987–. ©2013 AACR.

Abstract In shotgun proteomics, database search algorithms rely on fragmentation models to predict fragment ions that should be observed for a given peptide sequence. The most widely used strategy (Naive model) is oversimplified, cleaving all peptide bonds with equal probability to produce fragments of all charges below that of the precursor ion. More accurate models, based on fragmentation simulation, are too computationally intensive for on-the-fly use in database search algorithms. We have created an ordinal-regression-based model called Basophile that takes fragment size and basic residue distribution into account when determining the charge retention during CID/higher-energy collision induced dissociation (HCD) of charged peptides. This model improves the accuracy of predictions by reducing the number of unnecessary fragments that are routinely predicted for highly-charged precursors. Basophile increased the identification rates by 26% (on average) over the Naive model, when analyzing triply-charged precursors from ion trap data. Basophile achieves simplicity and speed by solving the prediction problem with an ordinal regression equation, which can be incorporated into any database search software for shotgun proteomic identification.

Abstract Barrett's esophagus is the precursor lesion of esophageal adenocarcinoma, whose progression follows sequential stages. However, the low progression rate and the inadequacy and subjective interpretation of histologic grading in predicting Barrett's esophagus progression call for more objective biomarkers that can improve risk prediction. We conducted a genome-wide profiling of 754 human microRNAs (miRNA) in 35 normal epithelium, 34 Barrett's esophagus, and 36 esophageal adenocarcinoma tissues using TaqMan real-time PCR-based profiling. Unsupervised hierarchical clustering using 294 modestly to highly expressed miRNAs showed clear clustering of two groups: normal epithelium versus Barrett's esophagus/esophageal adenocarcinoma tissues. Moreover, there was an excellent clustering of Barrett's metaplasia (without dysplasia) tissues from normal epithelium tissues. However, Barrett's esophagus tissues of different stages and esophageal adenocarcinoma tissues were interspersed. There were differentially expressed miRNAs at different stages. The majority of miRNA aberrations involved upregulation of expression in Barrett's esophagus and esophageal adenocarcinoma tissues, with the most dramatic alterations occurring at the Barrett's metaplasia stage. Known oncomiRs, such as miR-21, miR-25, and miR-223, and tumor suppressor miRNAs, including miR-205, miR-203, let-7c, and miR-133a, showed progressively altered expression from Barrett's esophagus to esophageal adenocarcinoma. We also identified a number of novel miRNAs that showed progressively altered expression, including miR-301b, miR-618, and miR-23b. The significant miRNA alterations that were exclusive to esophageal adenocarcinoma but not Barrett's esophagus included miR-375 downregulation and upregulation of five members of the miR-17-92 and its homologue clusters, which may become promising biomarkers for esophageal adenocarcinoma development. Cancer Prev Res; 6(3); 196–205. ©2013 AACR.

Abstract Background: There are several well-established environmental risk factors for ovarian cancer, and recent genome-wide association studies have also identified six variants that influence disease risk. However, the interplay between such risk factors and susceptibility loci has not been studied. Methods: Data from 14 ovarian cancer case–control studies were pooled, and stratified analyses by each environmental risk factor with tests for heterogeneity were conducted to determine the presence of interactions for all histologic subtypes. A genetic “risk score” was created to consider the effects of all six variants simultaneously. A multivariate model was fit to examine the association between all environmental risk factors and genetic risk score on ovarian cancer risk. Results: Among 7,374 controls and 5,566 cases, there was no statistical evidence of interaction between the six SNPs or genetic risk score and the environmental risk factors on ovarian cancer risk. In a main effects model, women in the highest genetic risk score quartile had a 65% increased risk of ovarian cancer compared with women in the lowest [95% confidence interval (CI), 1.48–1.84]. Analyses by histologic subtype yielded risk differences across subtype for endometriosis (Phet < 0.001), parity (Phet < 0.01), and tubal ligation (Phet = 0.041). Conclusions: The lack of interactions suggests that a multiplicative model is the best fit for these data. Under such a model, we provide a robust estimate of the effect of each risk factor that sets the stage for absolute risk prediction modeling that considers both environmental and genetic risk factors. Further research into the observed differences in risk across histologic subtype is warranted. Cancer Epidemiol Biomarkers Prev; 22(5); 880–90. ©2013 AACR.

Abstract Objective Behçet's disease ( BD ) is a chronic, relapsing, inflammatory vascular disease with no pathognomonic test. Low sensitivity of the currently applied International Study Group ( ISG ) clinical diagnostic criteria led to their reassessment. Methods An International Team for the Revision of the International Criteria for BD (from 27 countries) submitted data from 2556 clinically diagnosed BD patients and 1163 controls with BD ‐mimicking diseases or presenting at least one major BD sign. These were randomly divided into training and validation sets. Logistic regression, ‘leave‐one‐country‐out’ cross‐validation and clinical judgement were employed to develop new International Criteria for BD ( ICBD ) with the training data. Existing and new criteria were tested for their performance in the validation set. Results For the ICBD , ocular lesions, oral aphthosis and genital aphthosis are each assigned 2 points, while skin lesions, central nervous system involvement and vascular manifestations 1 point each. The pathergy test, when used, was assigned 1 point. A patient scoring ≥4 points is classified as having BD . In the training set, 93.9% sensitivity and 92.1% specificity were assessed compared with 81.2% sensitivity and 95.9% specificity for the ISG criteria. In the validation set, ICBD demonstrated an unbiased estimate of sensitivity of 94.8% (95% CI : 93.4–95.9%), considerably higher than that of the ISG criteria (85.0%). Specificity (90.5%, 95% CI : 87.9–92.8%) was lower than that of the ISG ‐criteria (96.0%), yet still reasonably high. For countries with at least 90%‐of‐cases and controls having a pathergy test, adding 1 point for pathergy test increased the estimate of sensitivity from 95.5% to 98.5%, while barely reducing specificity from 92.1% to 91.6%. Conclusion The new proposed criteria derived from multinational data exhibits much improved sensitivity over the ISG criteria while maintaining reasonable specificity. It is proposed that the ICBD criteria to be adopted both as a guide for diagnosis and classification of BD .

BACKGROUND AND OBJECTIVE: Simulation-based medical education (SBME) is used to teach residents. However, few studies have evaluated its clinical impact. The goal of this study was to evaluate the impact of an SBME session on pediatric interns’ clinical procedural success. METHODS: This randomized trial was conducted at 10 academic medical centers. Interns were surveyed on infant lumbar puncture (ILP) and child intravenous line placement (CIV) knowledge and watched audiovisual expert modeling of both procedures. Participants were randomized to SBME mastery learning for ILP or CIV and for 6 succeeding months reported clinical performance for both procedures. ILP success was defined as obtaining a sample on the first attempt with <1000 red blood cells per high-power field or fluid described as clear. CIV success was defined as placement of a functioning catheter on the first try. Each group served as the control group for the procedure for which they did not receive the intervention. RESULTS: Two-hundred interns participated (104 in the ILP group and 96 in the CIV group). Together, they reported 409 procedures. ILP success rates were 34% (31 of 91) for interns who received ILP mastery learning and 34% (25 of 73) for controls (difference: 0.2% [95% confidence interval: –0.1 to 0.1]). The CIV success rate was 54% (62 of 115) for interns who received CIV mastery learning compared with 50% (58 of 115) for controls (difference: 3% [95% confidence interval: –10 to 17]). CONCLUSIONS: Participation in a single SBME mastery learning session was insufficient to affect pediatric interns’ subsequent procedural success.