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Sriram Yennurajalingam, Vicente Valero, Zhanni Lu, Diane D. Liu, Naifa L. Busaidy, James M. Reuben, Carolina Diaz Fleming, Janet L. Williams, Kenneth R. Hess, Karen Basen-Engquist, and Eduardo Bruera

Background: Despite the high frequency of cancer-related fatigue (CRF) and its debilitating effects on the quality of life of patients with advanced cancer, there are limited treatment options available. Treatments including physical activity (PA) or dexamethasone (Dex) improve CRF; however, they have lower adherence rates (PA) or long-term adverse effects (Dex). The aim of this study was to determine the feasibility of and preliminary results for the combination of PA and Dex in improving CRF. Methods: In this phase II randomized controlled trial, patients with advanced cancer and CRF scores of ≥4/10 on the Edmonton Symptom Assessment Scale were eligible. Patients were randomized to standardized PA for 4 weeks with either 4 mg of Dex (LoDex arm) or 8 mg of Dex (HiDex arm) twice a day for 7 days. Feasibility and change in the Functional Assessment of Cancer Illness Therapy-Fatigue subscale (FACIT-F) from baseline to day 8 and day 29 (primary outcome) were assessed. Secondary outcomes included changes in fatigue dimensions (FACIT-General, Patient-Reported Outcomes Measurement Information System [PROMIS]-Fatigue). Results: A total of 60 of 67 (90%) patients were evaluable. All patients were adherent to study medication. We found that 84% and 65% of patients in the LoDex arm and 96% and 68% of patients in the HiDex arm were adherent to aerobic and resistance exercise, respectively. The FACIT-F effect size in the LoDex arm was 0.90 (P<.001) and 0.92 (P<.001) and the effect size in the HiDex arm was 0.86 and 1.03 (P<.001 for both) at days 8 and 29, respectively. We found significant improvements in the Functional Assessment of Cancer Therapy-Physical (P≤.013) and the PROMIS-Fatigue (P≤.003) at days 8 and 29 in both arms. Mixed-model analysis showed a significant improvement in the FACIT-F scores at day 8 (P<.001), day 15 (P<.001), and day 29 (P=.002). Changes in the FACIT-F scores were not significantly different between patients in the 2 arms (P=.86). Conclusions: Our study found that the combination therapy of PA with Dex was feasible and resulted in the improvement of CRF. The improvement was seen for up to 3 weeks after the discontinuation of Dex. Further larger studies are justified.

ClinicalTrials.gov identifier: NCT02491632.

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Caiqian Cropper, Ashley Woodson, Banu Arun, Carlos Barcenas, Jennifer Litton, Sarah Noblin, Diane Liu, Minjeong Park, and Molly Daniels

Background: Mutations in the BRCA1 and BRCA2 genes predispose individuals to a significantly elevated risk for breast and ovarian cancers. Identification of these individuals allows for proper screening, management, and testing of at-risk relatives. NCCN has established clinical criteria for recommending BRCA1/2 testing. Patients and Methods: A retrospective chart review of 1,123 patients with breast cancer was performed to evaluate the positive predictive values (PPVs) of 14 individual criteria for predicting BRCA1/2 mutations. Results: Two criteria had PPVs significantly below 10%. Only 2 of 115 patients who were recommended for testing based solely on the criterion of “diagnosed with breast cancer at ≤45 years of age” had pathogenic mutations at a PPV of 1.6% (95% CI, 0.2%–6.0%). Additionally, 0 of 37 individuals who underwent testing based on the criterion, “diagnosed with breast cancer at any age with ≥2 close blood relatives with breast cancer at any age” tested positive (95% CI, 0%–9%). Overall, meeting >1 criterion has a PPV of 12%, whereas meeting only 1 criterion has a PPV of 3.2% (95% CI, 1.6%–5.7%), significantly below 10% (P<.0001) for predicting BRCA1/2 positivity. Conclusions: Patients with breast cancer meeting >1 criterion constitute a population significantly enriched for BRCA1/2 mutations, whereas those meeting only 1 criterion test positive at a rate similar to unselected patients with breast cancer. These data will inform ongoing discussions regarding how to best implement BRCA1/2 genetic testing.