Longitudinal analysis of circulating tumor DNA (ctDNA) has shown promise for monitoring treatment response. However, most current methods lack adequate sensitivity for residual disease detection during or after completion of treatment in patients with nonmetastatic cancer. To address this gap and to improve sensitivity for minute quantities of residual tumor DNA in plasma, we have developed targeted digital sequencing (TARDIS) for multiplexed analysis of patient-specific cancer mutations. In reference samples, by simultaneously analyzing 8 to 16 known mutations, TARDIS achieved 91 and 53% sensitivity at mutant allele fractions (AFs) of 3 in 104 and 3 in 105, respectively, with 96% specificity, using input DNA equivalent to a single tube of blood. We successfully analyzed up to 115 mutations per patient in 80 plasma samples from 33 women with stage I to III breast cancer. Before treatment, TARDIS detected ctDNA in all patients with 0.11% median AF. After completion of neoadjuvant therapy, ctDNA concentrations were lower in patients who achieved pathological complete response (pathCR) compared to patients with residual disease (median AFs, 0.003 and 0.017%, respectively, P = 0.0057, AUC = 0.83). In addition, patients with pathCR showed a larger decrease in ctDNA concentrations during neoadjuvant therapy. These results demonstrate high accuracy for assessment of molecular response and residual disease during neoadjuvant therapy using ctDNA analysis. TARDIS has achieved up to 100-fold improvement beyond the current limit of ctDNA detection using clinically relevant blood volumes, demonstrating that personalized ctDNA tracking could enable individualized clinical management of patients with cancer treated with curative intent.

The cellular inhibitor of apoptosis cIAP1 and −2 are amplified in about 3% of cancers, and were identified in multiple malignancies as potential therapeutic targets due to their role in evasion of apoptosis. Consequently, small molecule IAP antagonists, like LCL161, have entered clinical trials for their ability to induce TNF-mediated apoptosis of cancer cells. However, cIAP1 and −2 are recurrently homozygously deleted in multiple myeloma resulting in constitutive activation of the non-canonical NFkB pathway. It was therefore counterintuitive to observe a robust in vivo anti-myeloma activity of LCL161 in a transgenic myeloma mouse model and patients with relapsed-refractory myeloma, where addition of cyclophosphamide resulted in a median progression free survival of 10 months. This effect is not due to direct induction of tumor cell death, but rather to upregulation of a tumor cell autonomous type I interferon signaling and a strong inflammatory response with activation of macrophages and dendritic cells resulting in phagocytosis of tumor cells. Treatment with LCL161 established long-term anti-tumor protection and cure in a fraction of transgenic Vk*MYC mice. Remarkably, combination of LCL161 with the immune-checkpoint inhibitor anti-PD1 was curative in all treated mice.

Yacoub et al report excellent responses to pegylated interferon alfa-2a in patients with hydroxyurea-resistant/intolerant polycythemia vera or essential thrombocythemia.

Background Myeloproliferative neoplasm (MPN) patients suffer from significant symptoms, inflammation and reduced quality of life. Yoga improves these outcomes in other cancers, but this hasn’t been demonstrated in MPNs. The purpose of this study was to: (1) explore the limited efficacy (does the program show promise of success) of a 12-week online yoga intervention among MPN patients on symptom burden and quality of life and (2) determine feasibility (practicality: to what extent a measure can be carried out) of remotely collecting inflammatory biomarkers. Methods Patients were recruited nationally and randomized to online yoga (60 min/week of yoga) or wait-list control (asked to maintain normal activity). Weekly yoga minutes were collected with Clicky (online web analytics tool) and self-report. Those in online yoga completed a blood draw at baseline and week 12 to assess inflammation (interleukin-6, tumor necrosis factor- alpha [TNF-α]). All participants completed questionnaires assessing depression, anxiety, fatigue, pain, sleep disturbance, sexual function, total symptom burden, global health, and quality of life at baseline, week seven, 12, and 16. Change from baseline at each time point was computed by group and effect sizes were calculated. Pre-post intervention change in inflammation for the yoga group was compared by t-test. Results Sixty-two MPN patients enrolled and 48 completed the intervention (online yoga = 27; control group = 21). Yoga participation averaged 40.8 min/week via Clicky and 56.1 min/week via self-report. Small/moderate effect sizes were generated from the yoga intervention for sleep disturbance (d = − 0.26 to − 0.61), pain intensity (d = − 0.34 to − 0.51), anxiety (d = − 0.27 to − 0.37), and depression (d = − 0.53 to − 0.78). A total of 92.6 and 70.4% of online yoga participants completed the blood draw at baseline and week 12, respectively, and there was a decrease in TNF-α from baseline to week 12 (− 1.3 ± 1.5 pg/ml). Conclusions Online yoga demonstrated small effects on sleep, pain, and anxiety as well as a moderate effect on depression. Remote blood draw procedures are feasible and the effect size of the intervention on TNF-α was large. Future fully powered randomized controlled trials are needed to test for efficacy. Trial registration This trial was retrospectively registered with clinicaltrials.gov (ID: NCT03503838 ) on 4/19/2018.

BACKGROUND Patients with myeloproliferative neoplasms (MPNs) experience a high persistence, prevalence, and severity of fatigue. There is currently only limited information regarding factors that contribute to fatigue in patients with MPNs. METHODS A 70‐item, Internet‐based survey regarding fatigue was developed by MPN investigators and patients/advocates and hosted by the Mayo Clinic Survey Research Center. RESULTS Fatigue was found to be prevalent and severe among international survey respondents (1788 respondents). Higher body mass index (P<.001), current use of alcohol (P<.001), and current tobacco use (P = .0025) were found to be significantly associated with greater fatigue. Moderate/severe fatigue was present more frequently in those individuals who did not exercise compared with those who reported exercising at least once per week (P<.001). Medical comorbidities found to be significantly associated with greater fatigue included restless leg syndrome (P = .006), diabetes mellitus (P = .045), fibromyalgia (P < 0.001), chronic fatigue syndrome (P = .006), and chronic kidney disease (P = .02). Current use of antidepressants (P<.001), antihistamines (P = .0276), antianxiety medications (P = .0357), and prescription pain medications (P<.001) were found to be associated with worsened fatigue. Nearly 25% of respondents scored > 2 on the Patient Health Questionnaire, indicating a high probability of depression. Higher Brief Fatigue Inventory score, Myeloproliferative Neoplasm Total Symptom Score, and individual symptom items were all associated with a higher likelihood of depressive symptoms (P<.0001). CONCLUSIONS The management of fatigue should be multifactorial, with a comprehensive assessment and treatment plan to address all modifiable fatigue etiologies. Patients with MPNs likely have a higher prevalence of mood disturbances compared with the general population, suggesting the need to assess and intervene in this domain. Cancer 2016;122:477–485. © 2015 American Cancer Society.