Weight gain in hormone receptor-positive (HR+) early-stage breast cancer: is it menopausal status or something else?

Purpose: This study investigates weight trajectories in pre- versus postmenopausal breast cancer (BC) survivors diagnosed with hormone receptor-positive tumors, with a specific focus on discerning menopausal status and type of endocrine treatment (ET) as risk factors for weight gain during ET. Methods: We conducted a retrospective review of electronic medical records. Descriptive statistics and Chi-squared and t tests were used to compare pre- and postmenopausal women. Chi-squared tests and ANOVA were used for within-group associations between patient characteristics and weight trajectories. Log-binomial regression models were used to estimate relative risk for weight gain. Results: The final sample was 32% premenopausal (n = 140) and 68% postmenopausal (n = 298). Relative risk (RR) for weight gain during ET was highest in women who were premenopausal (RR = 1.29, 1.03–1.52) and had Stage 3 BC (RR = 2.12, 1.59–2.82), mastectomy (RR = 1.49, 1.19–1.88), axillary node dissection (RR = 1.39, 1.11–1.73), and chemotherapy (RR = 1.80, 1.37–2.36). For each kg of weight gained between BC diagnosis and start of ET, and for each additional year of age, RR of gaining weight during ET decreased (RR = 0.98, 0.97–0.99, and RR = 0.99, 0.98–0.99, respectively). Menopausal status and type of ET were not significant predictors of weight gain. In multivariable analysis, only weight loss between BC diagnosis and start of ET was significant. Conclusion: The association of weight loss prior to ET and subsequent substantial weight gain during ET warrants further investigation

Weight changes in postmenopausal breast cancer survivors over 2 years of endocrine therapy: a retrospective chart review

Purpose: Obesity and weight gain after breast cancer (BC) diagnosis can affect cancer outcomes. This study explores the question of weight change during the first 2 years of endocrine treatment (ET) to identify the independent effects of BC diagnosis and treatment on post-diagnosis weight trajectories in early-stage postmenopausal BC survivors. Methods: The study design is a retrospective chart review. Chi square tests and ANOVA were used to compare patients who gained >2 kg, lost >2 kg, or had stable weight. Log-binomial regression models were used to evaluate associations between patient characteristics and weight trajectories. Results: The final sample is N = 300, with mean age at BC diagnosis of 65 years and 76% white. After 2 years of ET, 39% of study participants had gained >2 kg, 27% had lost >2 kg, and 34% had stable weight. Relative risks (RR) for weight gain were as follows: age at diagnosis = 0.98 (0.96, 0.99), being married = 1.48 (1.04, 2.12), weight change between BC diagnosis and start of ET = 0.98 (0.97, 0.99), Stage II = 1.42 (1.01, 2.01) or Stage III = 1.99 (1.41, 2.82), PR negative = 0.70 (0.51, 0.96), HER2 positive = 1.51 (1.07, 2.13), mastectomy = 1.49 (1.12, 1.98), axillary node dissection = 1.67 (1.27, 2.20), adjuvant chemotherapy = 1.49 (1.02, 2.19), and neoadjuvant chemotherapy = 2.29 (1.67, 3.14). Type of ET (tamoxifen or aromatase inhibitor) was not significant. Conclusions: In our sample of postmenopausal early-stage BC survivors, a majority had stable or lost weight during the first 2 years of ET. Higher disease complexity and associated treatment posed higher RR for weight gain

Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance

AbstractMany different definitions for multidrug-resistant (MDR), extensively drug-resistant (XDR) and pandrug-resistant (PDR) bacteria are being used in the medical literature to characterize the different patterns of resistance found in healthcare-associated, antimicrobial-resistant bacteria. A group of international experts came together through a joint initiative by the European Centre for Disease Prevention and Control (ECDC) and the Centers for Disease Control and Prevention (CDC), to create a standardized international terminology with which to describe acquired resistance profiles in Staphylococcus aureus, Enterococcus spp., Enterobacteriaceae (other than Salmonella and Shigella), Pseudomonas aeruginosa and Acinetobacter spp., all bacteria often responsible for healthcare-associated infections and prone to multidrug resistance. Epidemiologically significant antimicrobial categories were constructed for each bacterium. Lists of antimicrobial categories proposed for antimicrobial susceptibility testing were created using documents and breakpoints from the Clinical Laboratory Standards Institute (CLSI), the European Committee on Antimicrobial Susceptibility Testing (EUCAST) and the United States Food and Drug Administration (FDA). MDR was defined as acquired non-susceptibility to at least one agent in three or more antimicrobial categories, XDR was defined as non-susceptibility to at least one agent in all but two or fewer antimicrobial categories (i.e. bacterial isolates remain susceptible to only one or two categories) and PDR was defined as non-susceptibility to all agents in all antimicrobial categories. To ensure correct application of these definitions, bacterial isolates should be tested against all or nearly all of the antimicrobial agents within the antimicrobial categories and selective reporting and suppression of results should be avoided

Weight trajectories in women receiving systemic adjuvant therapy for breast cancer

Background: Weight gain after breast cancer (BC) diagnosis is a well-known phenomenon; however, it is not a universal phenomenon and identification of patients at highest risk for weight gain is needed. This study investigates weight trajectories in early BC patients at 2 years post-primary treatment, examining potential contributing factors such as age, race, and receipt of chemotherapy, anti-HER-2 therapy, and endocrine treatment (ET). Methods: A single institution cohort of newly diagnosed women age 21 and older with early breast cancer patients (Stage 0–3) were identified by retrospective chart review (diagnosis year 1995 to 2016). Log-binomial regression models for net weight changes at 2 years post-primary treatment including patient demographic, clinical, and treatment characteristics. Results: The final sample of 625 patients included 29% who were non-White and 37% who were pre-menopausal at diagnosis. Body mass index (BMI) at diagnosis was calculated and found to be normal in 33% (BMI 18 to 2 kg, 34% had stable weight ± 2 kg, and 35% had gained > 2 kg. Factors associated with > 2 kg weight gain were menopausal status (pre-menopausal HR 1.65, 95% CI 1.34–2.04, p <.0001), receiving any chemotherapy (HR 1.36, 95% CI 1.04–1.77), and anthracycline-based chemotherapy followed by ET (HR 1.60, CI 1.01–2.45). Anti-HER-2 therapy and transition from pre- to post-menopausal during the 2-year study period were not significant factors in weight gain. In multivariate analysis, menopausal status remained the only significant variable related to weight gain when adjusted for treatment. For all treatment combinations, pre-menopausal women had significantly more weight gain. Conclusions and relevance: Weight gain, weight loss, and stable weight in women with early breast cancer vary greatly by treatment plan. However, pre-menopausal patients have the highest risk for weight gain

Measuring and understanding adherence in a home-based exercise intervention during chemotherapy for early breast cancer

Purpose: Ensuring and measuring adherence to prescribed exercise regimens are fundamental challenges in intervention studies to promote exercise in adults with cancer. This study reports exercise adherence in women who were asked to walk 150 min/week throughout chemotherapy treatment for early breast cancer. Participants were asked to wear a FitbitTM throughout their waking hours, and Fitbit steps were uploaded directly into study computers. Methods: Descriptive statistics are reported, and both unadjusted and multivariable linear regression models were used to assess associations between participant characteristics, breast cancer diagnosis, treatment, chemotherapy toxicities, and patient-reported symptoms with average Fitbit steps/week. Results: Of 127 women consented to the study, 100 had analyzable Fitbit data (79%); mean age was 48 and 31% were non-white. Mean walking steps were 3956 per day. Nineteen percent were fully adherent with the target of 6686 steps/day and an additional 24% were moderately adherent. In unadjusted analysis, baseline variables associated with fewer Fitbit steps were: non-white race (p = 0.012), high school education or less (p = 0.0005), higher body mass index (p = 0.0024), and never/almost never drinking alcohol (p = 0.0048). Physical activity variables associated with greater Fitbit steps were: pre-chemotherapy history of vigorous physical activity (p = 0.0091) and higher self-reported walking minutes/week (p < 0.001), and higher outcome expectations from exercise (p = 0.014). Higher baseline anxiety (p = 0.03) and higher number of chemotherapy-related symptoms rates “severe/very severe” (p = 0.012) were associated with fewer steps. In multivariable analysis, white race was associated with 12,146 greater Fitbit steps per week (p = 0.004), as was self-reported walking minutes prior to start of chemotherapy (p < 0.0001). Conclusions: Inexpensive commercial-grade activity trackers, with data uploaded directly into research computers, enable objective monitoring of home-based exercise interventions in adults diagnosed with cancer. Analysis of the association of walking steps with participant characteristics at baseline and toxicities during chemotherapy can identify reasons for low/non-adherence with prescribed exercise regimens

Patients' Understanding of How Genotype Variation Affects Benefits of Tamoxifen Therapy for Breast Cancer

CYP2D6 is a critical enzyme in the metabolism of tamoxifen and potentially a key determinant in breast cancer outcomes. Our study examined patients' beliefs about how CYP2D6 genotype would affect their prognoses

Proximity effect at superconducting Sn-Bi2Se3 interface

We have investigated the conductance spectra of Sn-Bi2Se3 interface junctions down to 250 mK and in different magnetic fields. A number of conductance anomalies were observed below the superconducting transition temperature of Sn, including a small gap different from that of Sn, and a zero-bias conductance peak growing up at lower temperatures. We discussed the possible origins of the smaller gap and the zero-bias conductance peak. These phenomena support that a proximity-effect-induced chiral superconducting phase is formed at the interface between the superconducting Sn and the strong spin-orbit coupling material Bi2Se3.Comment: 7 pages, 8 figure

Centrality Dependence of the High p_T Charged Hadron Suppression in Au+Au collisions at sqrt(s_NN) = 130 GeV

PHENIX has measured the centrality dependence of charged hadron p_T spectra from central Au+Au collisions at sqrt(s_NN)=130 GeV. The truncated mean p_T decreases with centrality for p_T > 2 GeV/c, indicating an apparent reduction of the contribution from hard scattering to high p_T hadron production. For central collisions the yield at high p_T is shown to be suppressed compared to binary nucleon-nucleon collision scaling of p+p data. This suppression is monotonically increasing with centrality, but most of the change occurs below 30% centrality, i.e. for collisions with less than about 140 participating nucleons. The observed p_T and centrality dependence is consistent with the particle production predicted by models including hard scattering and subsequent energy loss of the scattered partons in the dense matter created in the collisions.Comment: 7 pages text, LaTeX, 6 figures, 2 tables, 307 authors, resubmitted to Phys. Lett. B. Revised to address referee concerns. Plain text data tables for the points plotted in figures for this and previous PHENIX publications are publicly available at http://www.phenix.bnl.gov/phenix/WWW/run/phenix/papers.htm

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale. Analysis of clinicopathologic annotations for over 11,000 cancer patients in the TCGA program leads to the generation of TCGA Clinical Data Resource, which provides recommendations of clinical outcome endpoint usage for 33 cancer types

Formation of dense partonic matter in relativistic nucleus-nucleus collisions at RHIC: Experimental evaluation by the PHENIX collaboration

Extensive experimental data from high-energy nucleus-nucleus collisions were recorded using the PHENIX detector at the Relativistic Heavy Ion Collider (RHIC). The comprehensive set of measurements from the first three years of RHIC operation includes charged particle multiplicities, transverse energy, yield ratios and spectra of identified hadrons in a wide range of transverse momenta (p_T), elliptic flow, two-particle correlations, non-statistical fluctuations, and suppression of particle production at high p_T. The results are examined with an emphasis on implications for the formation of a new state of dense matter. We find that the state of matter created at RHIC cannot be described in terms of ordinary color neutral hadrons.Comment: 510 authors, 127 pages text, 56 figures, 1 tables, LaTeX. Submitted to Nuclear Physics A as a regular article; v3 has minor changes in response to referee comments. Plain text data tables for the points plotted in figures for this and previous PHENIX publications are (or will be) publicly available at http://www.phenix.bnl.gov/papers.htm