Citations

ABSTRACT Background: Lactate is a prognostic marker in critically ill patients, although currently available illness severity scores do not include lactate as a predictive parameter. We sought to describe the association between lactate and hospital mortality in patients admitted to the cardiac intensive care unit (CICU) with cardiac arrest (CA) and shock. Methods: Retrospective observational analysis of Mayo Clinic CICU patients admitted from 2007 to 2018 with measured lactate on admission, including patients with and without CA or shock. We examined hospital mortality as a function of admission lactate in patients. Multivariable logistic regression was used to determine predictors of hospital mortality. Results: We included 3,042 patients with a median age of 70 years (IQR 60–80), including 41% females, 26% with CA, and 39% with shock. The median APACHE-IV predicted mortality was 24% (IQR 11–51%), and the median admission lactate was 1.8 mmol/L (IQR 1.1–3.0). Hospital mortality occurred in 23% of patients and rose progressively with higher admission lactate, including in patients with and without CA or shock. After multivariable adjustment for clinical characteristics, therapies, and illness severity, a higher lactate remained associated with increased hospital mortality (adjusted OR 1.13 per mmol/L, 95% CI 1.06–1.20, P < 0.001). Conclusions: Admission lactate levels are strongly associated with increased hospital mortality among CICU patients, including those with and without CA or shock. The prognostic value of lactate levels is independent of established ICU prognostic scores and dependent on admission diagnosis, which may help inform clinicians caring for CICU patients.

Background: Chronic illness is often comorbid with the psychological state of loneliness. Models of care for patients who experience chronic migraines may often lack an understanding of psychosocial influences of the illness. Addressing the effects of loneliness on the health behaviors of chronic migraine patients may further elucidate gaps in care that exist beyond the biomedical approach to migraine treatment. The primary aim of this study was to assess the relationship between loneliness and behavioral health decisions in chronic migraine patients, specifically patient ability to self-manage, and effectiveness of treatments. Methods: We conducted a cross-sectional survey among patients (n = 500) with migraine and assessed for the experience of loneliness by using the University of California, Los Angeles–Revised (UCLA-R) Three-item Loneliness Scale and the extent of migraine-related disability via the Migraine Disability Assessment (MIDAS). Furthermore, we evaluated patients for their ability to self-manage their migraines, and perceived effectiveness of treatment. Results: Nearly half of our population reported at least one measure of loneliness (230/500, 46.0%). Patients experiencing chronic migraine were statistically more likely to report feeling lonely when compared to patients with episodic migraines ( P < .001). Patients who report loneliness had lower odds of feeling ’very satisfied” with their ability to self-manage their migraine symptoms (aOR = 0.34, 95% CI 0.14-0.81) and had lower odds of feeling “very satisfied” with their ability to avoid conditions that cause their headache (aOR = 0.39, 95% CI 0.16-0.91). Conclusions: Loneliness has significant effects on the illness experience of patients with chronic migraines, including their ability to self-manage or be satisfied with their current state of care. Psychosocial models of care that address loneliness among patients with chronic migraine may help improve health outcomes and management.

Abstract Background Anti‐IgE (omalizumab) has been used for the treatment of moderate‐to‐severe asthma that is not controlled by inhaled steroids. Despite its success, it does not always provide patients with significant clinical benefits. Objective To investigate the transcriptional variations between omalizumab responders and non‐responders and to study the mechanisms of action of omalizumab. Methods The whole blood transcriptomes of moderate‐to‐severe adult asthma patients (N = 45:34 responders and 11 non‐responders) were analysed over the course of omalizumab treatment. Non‐asthmatic healthy controls (N = 17) were used as controls. Results Transcriptome variations between responders and non‐responders were identified using the genes significant (FDR < 0.05) in at least one comparison of each patient response status and time point compared with control subjects. Using gene ontology and network analysis, eight clusters of genes were identified. Longitudinal analyses of individual clusters revealed that responders could maintain changes induced with omalizumab treatment and become more similar to the control subjects, while non‐responders tend to remain more similar to their pre‐treatment baseline. Further analysis of an inflammatory gene cluster revealed that genes associated with neutrophil/eosinophil activities were up‐regulated in non‐responders and, more importantly, omalizumab did not significantly alter their expression levels. The application of modular analysis supported our findings and further revealed variations between responders and non‐responders. Conclusion and Clinical Relevance This study provides not only transcriptional variations between omalizumab responders and non‐responders, but also molecular insights for controlling asthma by omalizumab.

TPS11570 Background: Soft tissue sarcoma (STS) is a heterogenous malignancy of mesenchymal origin and includes more than 50 biologically distinct subtypes. Leiomyosarcoma (LMS), a neoplasm of smooth muscle origin, represents up to 20% of STS. The uterus is the most common site of origin in women. Advanced uterine LMS (uLMS) is initially treated with gemcitabine + docetaxel or anthracycline-based chemotherapy but overall survival remains < 24 mos. Besides recurrent alterations in RB1, TP53 and ATRX, insight into cancer biology of uLMS remains limited. Recently, whole exome and transcriptomic sequencing studies suggest uLMS harbors characteristic defects in the homologous recombination (HR) DNA repair pathway and thus features of BRCAness. HR-deficient cancers are unable to efficiently repair double-stranded DNA breaks and appear sensitive to treatment with poly ADP-ribose polymerase (PARP) inhibitors. In preclinical studies, the combination of temozolomide (T), an alkylating agent, and olaparib (O), a PARP inhibitor, was synergistic and markedly suppressed proliferation of uLMS models. A recent phase II study in small cell lung cancer defined the RP2D for T + O where the chief toxicity was myelosuppression. Methods: NCI Protocol #10250 is a single-arm, open-label, multi-center phase II clinical trial of T + O in patients with advanced uLMS. Eligible pts have ECOG PS ≤ 2, progression on ≥ 1 prior line of therapy and disease measurable by RECIST v1.1 and amenable to image-guided biopsy. Pts receive T 75 mg/m2 PO daily + O 200 mg PO BID on days 1-7 in 21-day cycles. The 1° endpoint is objective response rate (ORR). A one-stage binomial design is used to evaluate for an ORR ≤ 10% (null hypothesis) versus ≥ 35% (alternative hypothesis). The design calls for 22 patients. If 5/22 respond, the treatment is promising. This design yields 93% power and 1-sided type I error of 6%. 2° endpoints include progression free survival and safety. All pts undergo tumor biopsies pre-treatment and during cycle 2. Tissue is used for correlative analysis interrogating uLMS for features of BRCAness through (a) whole exome sequencing/RNAseq to evaluate for alterations in HR pathway component genes, (b) RAD51 foci formation by immunohistochemistry as a functional marker of HR pathway activity and (c) protein expression of Schlafen family member number 11 (SLFN11), an emerging biomarker for PARPi. Tumors are also evaluated for MGMT protein expression, a known determinant of sensitivity to T. The study opened to accrual 10/2019. Clinical trial information: NCT03880019.

e23544 Background: Rare diseases are defined as conditions that affect less than 200,000 people annually in the United States. Around 17000 cases of sarcoma will be diagnosed in 2020. Collaboration among institutions is needed to best understand rare diseases such as sarcoma. One measure of collaboration is publications with multiple institutions as authors. We sought to determine if collaboration in sarcoma has increased since 2011 and compared that to another rare disease, CNS tumors based on multi-institution-authored abstracts presented at ASCO. Methods: All sarcoma and CNS oral abstracts, clinical science symposia, poster presentations, poster discussions, and published-only ASCO Annual Meetings from 2011 to 2019 were reviewed. Collaboration was determined if the abstract authors were from more than one institution. Results: 2,134 abstracts were reviewed. Collaboration for sarcoma ranged from 0.603 to 0.720 and 0.582 to 0.755 for CNS. From 2011-2019 a positive linear trend in collaboration was found in CNS (P < 0.05), but not in sarcoma (P = NS). There was no significant trend in the incidence of collaboration in Sarcoma based on the type of presentation at ASCO. There was no difference in collaboration between bone or soft tissue sarcoma abstracts or median number of institutions collaborating between sarcoma and CNS. There were more international collaborations and absolute number of institutions in sarcoma vs CNS. Conclusions: Sarcoma collaboration has remained constant from 2011-2019 with greater number of institutions and more international collaborations as compared to CNS. CNS collaboration has increased from 2011-2019. Sarcoma collaboration at ASCO is robust and reflects the need for multi-institutional partnership.

TPS9077 Background: ALCHEMIST (Adjuvant Lung Cancer Enrichment Marker Identification and Sequencing Trial) is a clinical trial platform of the National Cancer Institute that offers biomarker analysis for high-risk resected non-small cell lung cancer (NSCLC) to support randomized trials of novel adjuvant therapies within the National Clinical Trials Network (NCTN). EA5142, a trial of adjuvant nivolumab for patients (pts) without EGFR / ALK alterations, has completed enrollment. Given the survival benefit seen with 1st-line chemo-immunotherapy (chemo-IO) for advanced NSCLC without EGFR / ALK alterations, there was compelling rationale for the launch of a trial offering concurrent immunotherapy with adjuvant chemo. Here we report updated enrollment to ALCHEMIST as of Jan 14, 2020. Methods: ALCHEMIST includes a screening trial (A151216, 5362 registered) that enrolls pts with completely resected clinical stage IB (≥4 cm)–IIIA (per AJCC 7) NSCLC. Tissue and blood are collected, biomarker testing includes EGFR sequencing, ALK FISH and PD-L1 IHC. 733 active sites are enrolling across the NCTN. Pts with EGFR mutations may enroll to adjuvant erlotinib vs observation (A081105, 352 randomized); those with ALK fusions may enroll to adjuvant crizotinib vs observation (E4512, 99 randomized). A trial offering adjuvant nivolumab vs observation regardless of PD-L1 status (EA5142, 935 randomized) recently completed enrollment. To support ongoing investigation of adjuvant immunotherapy, ALCHEMIST is adding A081801 (opens spring 2020). Pts will be randomized to one of 3 arms: chemo-IO with pembrolizumab during and after chemo vs sequential chemo followed by pembrolizumab vs chemo alone. Pts with pathological N2 nodes are eligible and can undergo postoperative radiotherapy after completing chemo. Pts are eligible if enrolled to A151216, negative for EGFR and ALK alterations, and with PD-L1 testing completed (required for stratification). Local testing for EGFR, ALK and PD-L1 will be accepted for enrollment; central testing will not delay randomization. Pts may not have received any therapy except surgery for the lung cancer and must be age >18, Eastern Cooperative Oncology Group performance status 0-1, have no active autoimmune disease requiring systemic treatment within 2 years, must not be pregnant or nursing, have no active second malignancy within 3 years and meet standard organ function values. By building off the ongoing ALCHEMIST platform, we hope to facilitate rapid enrollment to A081801 across participating NCTN sites. Clinical trial information: NCT02194738.

PURPOSE Smoldering multiple myeloma (SMM) is a precursor condition of multiple myeloma (MM) with a 10% annual risk of progression. Various prognostic models exist for risk stratification; however, those are based on solely clinical metrics. The discovery of genomic alterations that underlie disease progression to MM could improve current risk models. METHODS We used next-generation sequencing to study 214 patients with SMM. We performed whole-exome sequencing on 166 tumors, including 5 with serial samples, and deep targeted sequencing on 48 tumors. RESULTS We observed that most of the genetic alterations necessary for progression have already been acquired by the diagnosis of SMM. Particularly, we found that alterations of the mitogen-activated protein kinase pathway ( KRAS and NRAS single nucleotide variants [SNVs]), the DNA repair pathway (deletion 17p, TP53, and ATM SNVs), and MYC (translocations or copy number variations) were all independent risk factors of progression after accounting for clinical risk staging. We validated these findings in an external SMM cohort by showing that patients who have any of these three features have a higher risk of progressing to MM. Moreover, APOBEC associated mutations were enriched in patients who progressed and were associated with a shorter time to progression in our cohort. CONCLUSION SMM is a genetically mature entity whereby most driver genetic alterations have already occurred, which suggests the existence of a right-skewed model of genetic evolution from monoclonal gammopathy of undetermined significance to MM. We identified and externally validated genomic predictors of progression that could distinguish patients at high risk of progression to MM and, thus, improve on the precision of current clinical models.

Background: Long QT syndrome (LQTS) is a rare genetic disorder and a major preventable cause of sudden cardiac death in the young. A causal rare genetic variant with large effect size is identified in up to 80% of probands (genotype positive) and cascade family screening shows incomplete penetrance of genetic variants. Furthermore, a proportion of cases meeting diagnostic criteria for LQTS remain genetically elusive despite genetic testing of established genes (genotype negative). These observations raise the possibility that common genetic variants with small effect size contribute to the clinical picture of LQTS. This study aimed to characterize and quantify the contribution of common genetic variation to LQTS disease susceptibility. Methods: We conducted genome-wide association studies followed by transethnic meta-analysis in 1656 unrelated patients with LQTS of European or Japanese ancestry and 9890 controls to identify susceptibility single nucleotide polymorphisms. We estimated the common variant heritability of LQTS and tested the genetic correlation between LQTS susceptibility and other cardiac traits. Furthermore, we tested the aggregate effect of the 68 single nucleotide polymorphisms previously associated with the QT-interval in the general population using a polygenic risk score. Results: Genome-wide association analysis identified 3 loci associated with LQTS at genome-wide statistical significance ( P <5×10 −8 ) near NOS1AP , KCNQ1 , and KLF12 , and 1 missense variant in KCNE1 (p.Asp85Asn) at the suggestive threshold ( P <10 −6 ). Heritability analyses showed that ≈15% of variance in overall LQTS susceptibility was attributable to common genetic variation ( h2SNP 0.148; standard error 0.019). LQTS susceptibility showed a strong genome-wide genetic correlation with the QT-interval in the general population (r g =0.40; P =3.2×10 −3 ). The polygenic risk score comprising common variants previously associated with the QT-interval in the general population was greater in LQTS cases compared with controls ( P <10−13), and it is notable that, among patients with LQTS, this polygenic risk score was greater in patients who were genotype negative compared with those who were genotype positive ( P <0.005). Conclusions: This work establishes an important role for common genetic variation in susceptibility to LQTS. We demonstrate overlap between genetic control of the QT-interval in the general population and genetic factors contributing to LQTS susceptibility. Using polygenic risk score analyses aggregating common genetic variants that modulate the QT-interval in the general population, we provide evidence for a polygenic architecture in genotype negative LQTS.