Citations

Purpose: Pain is a problem for individuals undergoing hemodialysis. Renal disease, comorbidities, concurrent symptoms, and dialysis procedures pose barriers to adequate pain management. The purpose of this study was to evaluate feasibility, examine construct validity of The Patient-Reported Outcomes Measurement Information System (PROMIS) computerized adaptive testing (CAT) instruments, and explore pain benefits of Reiki sessions conducted during hemodialysis. Design: A one group, repeated-measures design was used. Method: Fifteen participants received Reiki for 20 minutes, twice a week for 4 weeks. Pain, fatigue, and depression were evaluated using established symptom scales and PROMIS CAT instruments. Findings: Participants reported general relaxation feelings with Reiki and acceptability of using a touch-screen device to respond to web-based measures. Although staff were initially reluctant to engage patients for Reiki, they reported Reiki did not interfere with workflow and thought Reiki could be integrated into the practice setting. Significant, strong correlations with established symptom scales support construct validity of PROMIS CAT instruments. There was a significant decrease in mean symptom scores after four weeks of Reiki. Effect size values suggest a range of practical significance. Conclusions: Findings suggest Reiki provides symptom relief for individuals receiving hemodialysis, and randomized clinical trials to establish Reiki’s pain benefits in this population are warranted.

Abstract RNA sequencing detects estrogen receptor alpha gene (ESR1) fusion transcripts in estrogen receptor positive (ER+) breast cancer but their role in disease pathogenesis remains unclear. Herein we examined multiple in-frame and out-of-frame ESR1 fusions and found only two, both identified in advanced endocrine treatment resistant disease, encoded stable and functional in-frame fusion proteins. In both examples, ESR1-e6>YAP1 and ESR1-e6>PCDH11X, the N-terminal, DNA binding and dimerization motifs encoded by exons 2-6 were fused to C-terminal sequences from the partner gene. Functional properties included estrogen-independent growth, constitutive expression of ER target genes, anti-estrogen resistance, induction of cellular motility in vitro and the development of lung metastasis in vivo. Chromatin immunoprecipitation and RNA sequencing experiments showed both fusions uniquely activated a metastasis-associated transcriptional program. ESR1-e6>YAP1 and ESR1-e6>PCDH11X-induced growth remained sensitive to a CDK4/6 inhibitor, palbociclib, and a patient-derived xenograft (PDX) expressing the ESR1-e6>YAP1 fusion was also responsive. Transcriptionally active ESR1 fusions therefore trigger both endocrine therapy resistance and metastatic progression explaining the association with fatal disease progression, although CDK4/6 inhibitor treatment is predicted to be effective. Citation Format: Jonathan T. Lei, Jieya Shao, Jin Zhang, Michael Iglesia, Doug W. Chan, Jin Cao, Meenakshi Anurag, Purba Singh, Xiaping He, Yoshimasa Kosaka, Ryoichi Matsunuma, Robert Crowder, Jeremy Hoog, Chanpheng Phommaly, Rodrigo Goncalves, Susana Romalho, Raquel M. Peres, Nindo Punturi, Cheryl Schmidt, Alex Bartram, Eric Jou, W V. Lai, Oliver Hampton, Anna Rogers, Ethan Tobias, Poojan Parikh, Sherri R. Davies, Shunqiang Li, Cynthia X. Ma, Vera Suman, Kelly K. Hunt, Mark A. Watson, Katherine A. Hoadley, E A. Thompson, Xi Chen, Shyam M. Kavuri, Chad J. Creighton, Christopher A. Maher, Charles M. Perou, Svasti Haricharan, Matthew J. Ellis. Functional and therapeutic significance of ESR1 gene fusions in breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 5240.

Abstract SIAH is a new and potent anti-K-RAS drug target in human cancer. The oncogenic EGFR/HER2/K-RAS pathway activation is pivotal in driving uncontrolled tumor growth and systemic metastasis. Thus, counteracting ERBB/K-RAS hyperactivation in attempt to reverse malignant transformation and inhibit latent tumor growth is an important area for new therapy development against late-stage and metastatic cancer. Guided by Drosophila studies, we found that SIAH (Seven-In-Absentia Homologue) is the most downstream “gatekeeper” required for proper K-RAS signaling. Based on its extraordinarily evolutionary conservation, SIAH E3 ligase is well positioned to serve as an ideal drug target for developing new anti-K-RAS and anticancer therapy. We have shown that anti-SIAH-based therapy is indeed effective in inhibiting tumorigenesis and metastasis of pancreatic, lung and breast cancer cells in xenograft models. Importantly, we have shown that anti-SIAH-based anti-K-RAS strategy is effective against well-established, super-large and late-stage pancreatic and triple-negative breast tumors in a xenograft model in vivo. Through these studies, we have successfully identified a new oncogenic K-RAS "vulnerability," SIAH, in high-grade metastatic cancer. We aim to design and develop potent SIAH inhibitor, and translate these findings to the clinic to benefit more cancer patients with therapy-refractory, relapsed and metastatic diseases in the future. SIAH is a therapy-responsive and prognostic biomarker in human cancer: SIAH expression can be used to monitor tumor responses, and identify resistant tumor clones post-NST. SIAH and EGFR outperform ER, PR, HER2 and Ki67 as two robust, sensitive and prognostic biomarkers to predict survival in breast cancer patients with lymph node metastases. The prognostic power of SIAH and EGFR, alone or in combination, is comparable to the clinical gold standards of clinical predictors (LN positivity, mammary tumor size, grade, stage and molecular subtypes in combination), and imaging-guided technology. A marked reduction in SIAH/EGFR expression post-NST would indicate effective therapy and increased survival, while persistent high SIAH/EGFR expression post-NST would indicate ineffective therapy and decreased survival. The therapy-induced changes in SIAH expression are prognostic in quantifying effective/ineffective therapies, differentiating partial responders, identifying resistant tumor clones, and predicting remission/relapse in breast cancer at neoadjuvant settings. The identification of therapy-responsive and prognostic biomarkers is of paramount importance to stratify patients and guide therapies in clinical oncology and personalized medicine. By validating the RAS/SIAH pathway-centered prognostic biomarkers, we hope to guide standard therapies and improve patient survival in the future. Citation Format: Amy H. Tang, Robert E. Van Sciver, Elizaveta Svyatova, Kevin Kanda, Michael P. Lee, Caroline Dasom Lee, Lauren L. Siewertsz Van Reesema, Alex C, Lafever, Amber L. Collier, Apoorva S. Iyer, L.D. Britt, Janet S. Winston, Cynthia A. Allen, David Z. Chang, Gloria M. Petersen, Richard A. Hoefer. Conquering undruggable oncogenic K-RAS-driven incurable metastatic cancer, and delivering precision medicine at neoadjuvant settings [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 584.

PurposeThe purpose of this study was to estimate the radiation dose to the lung and breast as well as the effective dose from tube current modulated (TCM) lung cancer screening (LCS) scans across a range of patient sizes.MethodsMonte Carlo (MC) methods were used to calculate lung, breast, and effective doses from a low‐dose LCS protocol for a 64‐slice CT that used TCM. Scanning parameters were from the protocols published by AAPM's Alliance for Quality CT. To determine lung, breast, and effective doses from lung cancer screening, eight GSF/ICRP voxelized phantom models with all radiosensitive organs identified were used to estimate lung, breast, and effective doses. Additionally, to extend the limited size range provided by the GSF/ICRP phantom models, 30 voxelized patient models of thoracic anatomy were generated from LCS patient data. For these patient models, lung and breast were semi‐automatically segmented. TCM schemes for each of the GSF/ICRP phantom models were generated using a validated method wherein tissue attenuation and scanner limitations were used to determine the TCM output as a function of table position and source angle. TCM schemes for voxelized patient models were extracted from the raw projection data. The water equivalent diameter, Dw, was used as the patient size descriptor. Dw was estimated for the GSF/ICRP models. For the thoracic patient models, Dw was extracted from the DICOM header of the CT localizer radiograph. MC simulations were performed using the TCM scheme for each model. Absolute organ doses were tallied and effective doses were calculated using ICRP 103 tissue weighting factors for the GSF/ICRP models. Metrics of scanner radiation output were determined based on each model's TCM scheme, including CTDIvol, dose length product (DLP), and CTDIvol, Low Att, a previously described regional metric of scanner output covering most of the lungs and breast. All lung and breast doses values were normalized by scan‐specific CTDIvol and CTDIvol, Low Att. Effective doses were normalized by scan‐specific CTDIvol and DLP. Absolute and normalized doses were reported as a function of Dw.ResultsLung doses normalized by CTDIvol, Low Att were modeled as an exponential relationship with respect to Dw with coefficients of determination (R2) of 0.80. Breast dose normalized by CTDIvol, Low Att was modeled with an exponential relationship to Dw with an R2 of 0.23. For all eight GSF/ICRP phantom models, the effective dose using TCM protocols was below 1.6 mSv. Effective doses showed some size dependence but when normalized by DLP demonstrated a constant behavior.ConclusionLung, breast, and effective doses from LCS CT exams with TCM were estimated with respect to patient size. Normalized lung dose can be reasonably estimated with a measure of a patient size such as Dw and regional metric of CTDIvol covering the thorax such as CTDIvol, Low Att, while normalized breast dose can also be estimated with a regional metric of CTDIvol but with a larger degree of variability than observed for lung. Effective dose normalized by DLP can be estimated with a constant multiplier.

Summary All commonly used general anesthetics have been shown to cause neurotoxicity in animal models, including nonhuman primates. Opinion, however, remains divided over how cumulative evidence from preclinical and human studies in this field should be interpreted and its translation to current practices in pediatric anesthesia and surgery. A group of international experts in laboratory and clinical sciences recently convened in Genoa, Italy, to evaluate the current state of both laboratory and clinical research and discuss future directions for basic, translational, and clinical studies in this field. This paper describes those discussions and conclusions. A central goal identified was the importance of continuing to pursue laboratory research efforts to better understand the biological pathways underlying anesthesia neurotoxicity. The distinction between basic and translational experimental designs in this field was highlighted, and it was acknowledged that it will be important for future animal research to try to causally link structural changes with long‐term cognitive abnormalities. While inherent limitations will continue to affect the ability of even large observational cohorts to determine if anesthesia impacts neurodevelopment or behavioral outcomes, the importance of conducting further large well‐designed cohort studies was also emphasized. Adequately powered cohorts could clarify which populations are at increased risk, provide information on environmental and healthcare‐related risk modifiers, and guide future interventional trials. If anesthetics cause structural or functional adverse neurological effects in young children, alternative or mitigating strategies need to be considered. While protective or mitigating strategies have been repeatedly studied in animals, there are currently no human data to support alternative anesthetic strategies in clinical practice. Lastly, it was noted that there is still considerable debate over the clinical relevance of anesthesia neurotoxicity, and the need to evaluate the impact of other aspects of perioperative care on neurodevelopment must also be considered.