Idbaïh, Ahmed

Abstract Background Erdheim-Chester disease (ECD) is a very rare histiocytic/dendritic cell neoplasm driven by mutations in genes of the MAPK pathway, such as BRAFV600E. Its clinical presentation is highly heterogeneous, and data on its natural history and prognosis in large cohorts are limited. Here, we investigated the clinical features and outcomes of a very large international cohort of patients with ECD. Methods We included patients diagnosed with ECD between 1990 and 2024, followed at 13 referral centers in Europe and the Americas, who had available clinical and follow-up data (with a minimal follow-up duration of 6 months). We analyzed the clinical presentation, treatment, and outcomes, and sought to identify predictors of survival. The study was conceived and conducted within the ECD Global Alliance network. Results A total of 1044 patients with ECD were included. The median age at diagnosis was 57 years (IQR 46-66), and the male-to-female ratio was 2.2. The median age at the first ECD manifestation was 55 years (IQR 43-65). Bone pain (20%), kidney and urinary manifestations (18%), and diabetes insipidus (11%) were the most frequently reported initial features. The median number of involved sites was 4 (IQR 3-6), most frequently including the long bones (n=768, 74%), the retroperitoneum, (n=605, 58%), the periaortic space (n=449, 43%), the CNS (n=368, 35%), the facial/orbit area (n=347, 33%), and the heart (n=334, 32%). Among 955 tested patients, 572 (60%) harbored the BRAFV600E mutation, and 86 (9%) a MAP2K1 mutation. Clinical and/or pathology overlap with Langerhans cell histiocytosis and Rosai-Dorfman-Destombes disease was observed in 115 (11%) and 42 (4%) patients, respectively. Clonal hematopoiesis was identified in 217 of 556 tested patients (39%), and a history of second cancer was reported in 272 patients (26%), including both solid (14%) and hematologic (12%) neoplasms. First-line treatment mostly included interferon-alpha (n=342, 33%) and BRAFi/MEKi (n=314, 30%), while second- and third-line treatments mostly consisted of BRAFi/MEKi (55% and 63%, respectively). After a median follow-up of 51 months (IQR 20-89), 222 (21%) patients died; causes of death were related to ECD in almost half of the patients (n=101). A multivariate Cox regression model identified the following factors as significantly associated with increased mortality: older age (HR 1.058, 95%CI 1.033-1.083; p<0.001), pseudo-neurodegenerative lesions (HR 2.280, 95%CI 1.337-3.891; p=0.022), elevated CRP at diagnosis (HR 2.574, 95%CI 1.024-6.467; p=0.044), and second hematologic cancer (HR 2.639, 95%CI 1.602-4.348; p<0.001). Conclusions Despite advances in treatments over the last decade, ECD remains associated with substantial mortality. Age, neurodegenerative lesions, elevated CRP levels, and the presence of a second hematologic cancer are the main predictors of poor survival.

Abstract BACKGROUND: Glioma accounts for ~27% of all primary brain tumors and is responsible for ~13,000 cancer-related deaths in the US each year. Glioma tumors can be broadly classified into glioblastoma (GBM) and lower-grade non-GBM. Typically gliomas have a poor prognosis irrespective of medical care, with the most common form, GBM, having a five-year survival rate of only 5%. While genome-wide association studies (GWAS) have transformed our understanding of glioma susceptibility, individual studies have had limited power to identify risk loci. METHODS: We performed the largest glioma GWAS to date, comprising a meta-analysis of six existing GWAS (6,405 cases, 14,100 controls) as well as new GWAS from the Glioma International Case Control Consortium (GICC; 4,572 cases and 3,286 controls) and University of California, San Francisco (UCSF)-Mayo (1,519 cases, 804 controls), totaling 12,496 cases (6,191 classified as GBM, 5,819 as non-GBM) and 18,190 controls. RESULTS: We identified five new risk loci for GBM at 1p31.3 (rs12752552; near JAK1, P=2.04×10-9, odds ratio (OR)=1.22), 11q14.1 (rs11233250; P=9.95×10-10, OR=1.24), 16p13.3 (rs2562152; near MPG, P=1.93x10-8, OR=1.21), 16q12.1 (rs10852606; HEATR3, P=1.29×10-11, OR=1.18), 22q13.1 (rs2235573; P=1.76×10-10, OR=1.15) and eight for non-GBM at 1q32.1 (rs4252707; MDM4, P=3.34×10-9, OR=1.19), 1q44 (rs12076373; AKT3, P=2.63×10-10, OR=1.23), 2q33.3 (rs7572263; near IDH1, P=2.18×10-10, OR=1.20), 3p14.1 (rs11706832; LRIG1, P=7.66×10-9, OR=1.15), 10q24.33 (rs11598018; OBFC1, P=3.39×10-8, OR=1.14), 11q21 (rs7107785; P=3.87×10-10, OR=1.16), 14q12 (rs10131032; P=5.07x10-11, OR=1.33) and 16p13.3 (rs3751667; P=2.61×10-9, OR=1.18). Case-only analyses confirmed the specificity of 11q14.1, 16p13.3 and 22q13.1 associations for GBM and 1q44, 2q33.3, 3p14.1, 11q21 and 14q12 for non-GBM tumors. In the combined meta-analysis, among previously published glioma risk SNPs, those for all glioma at 17p13.1 (TP53), GBM at 5p15.33 (TERT), 7p11.2 (EGFR), 9p21.3 (CDKN2B-AS1) and 20q13.33 (RTEL1) and for non-GBM at 8q24.21 (CCDC26), 11q23.2, 11q23.3 (PHLDB1) and 15q24.2 (ETFA) showed even greater evidence for association. SNPs at 10q25.2 and 12q12.1 for non-GBM tumors retained genome-wide significance (i.e. P<5.0x10-8). Associations at the previously reported loci for GBM at 3q26.2 (near TERC) and 12q23.33 (POLR3B) did not retain statistical significance. CONCLUSIONS: Our findings substantiate genetic susceptibility to GBM and non-GBM glioma being highly distinct, consistent with their distinctive molecular profiles presumably resulting from different etiological pathways. Functional analyses should lead to further insights into the biological basis of the different glioma histologies. Such information can inform gene discovery initiatives and therefore have a measurable impact on the successful development of new therapeutic agents. Citation Format: Ben Kinnersley, Beatrice S. Melin, Jill S. Barnholtz-Sloan, Margaret R. Wrensch, Christoffer Johansen, Dora Il’yasova, Quinn Ostrom, and members of GICC, Karim Labreche, Jeanette E. Eckel-Passow, Paul A. Decker, Marianne Labussière, Ahmed Idbaih, Khe Hoang-Xuan, Anna-Luisa Di Stefano, Karima Mokhtari, Jean-Yves Delattre, Pilar Galan, Konstantinos Gousias, Johannes Schramm, Minouk J. Schoemaker, Sarah J. Fleming, Stefan Herms, Stefanie Heilmann, Marcus M. Nöthen, Heinz-Erich Wichmann, Stefan Schreiber, Anthony Swerdlow, Mark Lathrop, Matthias Simon, Marc Sanson, Preetha Rajaraman, Stephen Chanock, Martha Linet, Zhaoming Wang, Meredith Yeager, Rose K. Lai, Elizabeth B. Claus, Sara H. Olson, Robert B. Jenkins, Richard S. Houlston, Melissa L. Bondy. Genome-wide association study of glioma reveals specific differences in genetic susceptibility to glioblastoma and non-glioblastoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1302. doi:10.1158/1538-7445.AM2017-1302