15 research outputs found
Diagnostic imaging trends in the emergency department: an extensive single-center experience.
To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked DownloadBACKGROUND:
Emergency Department imaging volume has increased significantly in North America and Asia.
PURPOSE:
To assess Emergency Department imaging trends in a European center.
MATERIAL AND METHODS:
The institutional radiological information system was queried for all computed tomography (CT), ultrasound (US), and magnetic resonance (MR) studies performed for the Emergency Department during 2002-2017. Descriptive statistics and linear regression analyses were used to assess overall study rates and temporal trends in overall and after-hours imaging after adjusting for patient visitations.
RESULTS:
CT use increased significantly from 38/1000 visits to 108/1000 at the end of the observation by 5.5 new exams per 1000 visits/year (Pâ<â0.0001). US use increased gradually at a rate of 1.2/1000 per year during 2002-2008 with an accelerated annual increase of 6.4/1000 in 2009-2011 (Pâ<â0.0001) raising US rates from 7/1000 to 28/1000 visits per year with stable rates from 2012 onwards. After on-site MR became available in 2004, its use increased from 0.3/1000 to 7/1000 at a rate of 1.9/1000 visits per year in 2005-2009 (Pâ<â0.0001) and remained stable from 2010. While there was a significant increase in after-hours imaging, growth remained proportional to the overall trend in the use of CT, MR, and night-time CT with the exception of a slight decrease in after-hour US in favor of standard working hours (Pâ<â0.0001).
CONCLUSION:
All modalities increased significantly in volume adjusted usage. US and MR rates have been stable since 2012 and 2010, respectively, after periods of increase while CT use continues to increase. Demand for after-hours imaging was mostly proportional to the overall trend
Different prognostic impact of recurrent gene mutations in chronic lymphocytic leukemia depending on IGHV gene somatic hypermutation status: a study by ERIC in HARMONY
Cancer genetics; Genetics researchGenĂštica del cĂ ncer; Recerca genĂšticaGenĂ©tica del cĂĄncer; InvestigaciĂłn genĂ©ticaRecent evidence suggests that the prognostic impact of gene mutations in patients with chronic lymphocytic leukemia (CLL) may differ depending on the immunoglobulin heavy variable (IGHV) gene somatic hypermutation (SHM) status. In this study, we assessed the impact of nine recurrently mutated genes (BIRC3, EGR2, MYD88, NFKBIE, NOTCH1, POT1, SF3B1, TP53, and XPO1) in pre-treatment samples from 4580 patients with CLL, using time-to-first-treatment (TTFT) as the primary end-point in relation to IGHV gene SHM status. Mutations were detected in 1588 (34.7%) patients at frequencies ranging from 2.3â9.8% with mutations in NOTCH1 being the most frequent. In both univariate and multivariate analyses, mutations in all genes except MYD88 were associated with a significantly shorter TTFT. In multivariate analysis of Binet stage A patients, performed separately for IGHV-mutated (M-CLL) and unmutated CLL (U-CLL), a different spectrum of gene alterations independently predicted short TTFT within the two subgroups. While SF3B1 and XPO1 mutations were independent prognostic variables in both U-CLL and M-CLL, TP53, BIRC3 and EGR2 aberrations were significant predictors only in U-CLL, and NOTCH1 and NFKBIE only in M-CLL. Our findings underscore the need for a compartmentalized approach to identify high-risk patients, particularly among M-CLL patients, with potential implications for stratified management.The European Research Initiative on CLL (ERIC) is a partner in the HARMONY Alliance, the EHA Scientific Working group on CLL and the ELN Workpackage 7 on CLL. This work was in part supported by; Associazione Italiana per la Ricerca sul CancroâAIRC, Milano, Italy (Investigator Grant #20246 and Special Program on Metastatic Diseaseâ5 per mille #21198); ERA NET TRANSCAN-2 Joint Transnational Call for Proposals: JTC 2014 (project #143 GCH-CLL) and JTC 2016 (project #179 NOVEL), project code (MIS) 5041673; Bando della Ricerca Finalizzata 2018, Ministero della Salute, Roma, Italy (progetto RF-2018â12368231); âla Caixaâ Foundation (Health Research 2017 Program HR17-00221); the American Association for Cancer Research (2021 AACR-Amgen Fellowship in Clinical/Translational Cancer Research, 21-40-11-NADE), the European Hematology Association (EHA Junior Research Grant 2021, RG-202012-00245), and the Lady Tata Memorial Trust (International Award for Research in Leukaemia 2021-2022, LADY_TATA_21_3223); the Hellenic Precision Medicine Network in Oncology; project ODYSSEAS (Intelligent and Automated Systems for enabling the Design, Simulation and Development of Integrated Processes and Products) implemented under the âAction for the Strategic Development on the Research and Technological Sectorâ, funded by the Operational Programme âCompetitiveness, Entrepreneurship and Innovationâ (NSRF 2014-2020) and co-financed by Greece and the European Union, with grant agreement no: MIS 5002462â; MH CZâDRO (FNBr, 65269705), NV19-03-00091 and the project National Institute for Cancer Research (Programme EXCELES, ID Project No. LX22NPO5102)âFunded by the European UnionâNext-Generation EU; Instituto de Salud Carlos III (ISCIII), âPI21/00983â, co-funded by the European Union; the EUâs Horizon 2020 research and innovation program under grant agreement No. 739593, by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the K21_137948, FK20_134253, TKP2021-EGA-24 and TKP2021-NVA-15 funding schemes, and Elixir Hungary; Instituto de Salud Carlos III (ISCIII), âPI21/00983â, co-funded by the European Union; Fondo di Ateneo per la Ricerca (FAR) 2019, 2020 and 2021 of the University of Ferrara (GMR; AC), Associazione Italiana contro le Leucemie-Linfomi e Mieloma ONLUS Ferrara (AC; GMR), BEAT Leukemia Foundation Milan Italy (AC); the Danish Cancer Society and the CLL-CLUE project under the frame of ERA PerMed; Cancer Research UK (ECRIN-M3 accelerator award C42023/A29370, Southampton Experimental Cancer Medicine Centre grant C24563/A15581, Cancer Research UK Southampton Centre grant C34999/A18087, and programme C2750/A23669); the Swedish Cancer Society (19 0425 Pj 01 H), the Swedish Research Council (2020-01750), the Knut and Alice Wallenberg Foundation (2016.0373), Region Stockholm (ALF/FoUI-962423), and Radiumhemmets Forskningsfonder (194133), Stockholm; and Lionâs Cancer Research Foundation, Uppsala
BRCA2 Haploinsufficiency in Telomere Maintenance
To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked DownloadOur previous studies showed an association between monoallelic BRCA2 germline mutations and dysfunctional telomeres in epithelial mammary cell lines and increased risk of breast cancer diagnosis for women with BRCA2 999del5 germline mutation and short telomeres in blood cells. In the current study, we analyzed telomere dysfunction in lymphoid cell lines from five BRCA2 999del5 mutation carriers and three Fanconi Anemia D1 patients by fluorescence in situ hybridization (FISH). Metaphase chromosomes were harvested from ten lymphoid cell lines of different BRCA2 genotype origin and analyzed for telomere loss (TL), multitelomeric signals (MTS), interstitial telomere signals (ITS) and extra chromosomal telomere signals (ECTS). TL, ITS and ECTS were separately found to be significantly increased gradually between the BRCA2+/+, BRCA2+/- and BRCA2-/- lymphoid cell lines. MTS were found to be significantly increased between the BRCA2+/+ and the BRCA2+/-heterozygous (p < 0.0001) and the BRCA2-/- lymphoid cell lines (p < 0.0001) but not between the BRCA2 mutated genotypes. Dysfunctional telomeres were found to be significantly increased in a stepwise manner between the BRCA2 genotypes indicating an effect of BRCA2 haploinsufficiency on telomere maintenance. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Author keywords
BRCA2; Chromosomal instability; Fanconi anemia; Haploinsufficiency; TelomereIcelandic Centre for Researc
Different prognostic impact of recurrent gene mutations in chronic lymphocytic leukemia depending on IGHV gene somatic hypermutation status: a study by ERIC in HARMONY
Recent evidence suggests that the prognostic impact of gene mutations in patients with chronic lymphocytic leukemia (CLL) may differ depending on the immunoglobulin heavy variable (IGHV) gene somatic hypermutation (SHM) status. In this study, we assessed the impact of nine recurrently mutated genes (BIRC3, EGR2, MYD88, NFKBIE, NOTCH1, POT1, SF3B1, TP53, and XPO1) in pre-treatment samples from 4580 patients with CLL, using time-to-first-treatment (TTFT) as the primary end-point in relation to IGHV gene SHM status. Mutations were detected in 1588 (34.7%) patients at frequencies ranging from 2.3-9.8% with mutations in NOTCH1 being the most frequent. In both univariate and multivariate analyses, mutations in all genes except MYD88 were associated with a significantly shorter TTFT. In multivariate analysis of Binet stage A patients, performed separately for IGHV-mutated (M-CLL) and unmutated CLL (U-CLL), a different spectrum of gene alterations independently predicted short TTFT within the two subgroups. While SF3B1 and XPO1 mutations were independent prognostic variables in both U-CLL and M-CLL, TP53, BIRC3 and EGR2 aberrations were significant predictors only in U-CLL, and NOTCH1 and NFKBIE only in M-CLL. Our findings underscore the need for a compartmentalized approach to identify high-risk patients, particularly among M-CLL patients, with potential implications for stratified management
Whole-genome informed circulating tumor DNA analysis by multiplex digital PCR for disease monitoring in B-cell lymphomas: a proof-of-concept study
IntroductionAnalyzing liquid biopsies for tumor-specific aberrations can facilitate detection of measurable residual disease (MRD) during treatment and at follow-up. In this study, we assessed the clinical potential of using whole-genome sequencing (WGS) of lymphomas at diagnosis to identify patient-specific structural (SVs) and single nucleotide variants (SNVs) to enable longitudinal, multi-targeted droplet digital PCR analysis (ddPCR) of cell-free DNA (cfDNA).MethodsIn 9 patients with B-cell lymphoma (diffuse large B-cell lymphoma and follicular lymphoma), comprehensive genomic profiling at diagnosis was performed by 30X WGS of paired tumor and normal specimens. Patient-specific multiplex ddPCR (m-ddPCR) assays were designed for simultaneous detection of multiple SNVs, indels and/or SVs, with a detection sensitivity of 0.0025% for SV assays and 0.02% for SNVs/indel assays. M-ddPCR was applied to analyze cfDNA isolated from serially collected plasma at clinically critical timepoints during primary and/or relapse treatment and at follow-up.ResultsA total of 164 SNVs/indels were identified by WGS including 30 variants known to be functionally relevant in lymphoma pathogenesis. The most frequently mutated genes included KMT2D, PIM1, SOCS1 and BCL2. WGS analysis further identified recurrent SVs including t(14;18)(q32;q21) (IGH::BCL2), and t(6;14)(p25;q32) (IGH::IRF4). Plasma analysis at diagnosis showed positive circulating tumor DNA (ctDNA) levels in 88% of patients and the ctDNA burden correlated with baseline clinical parameters (LDH and sedimentation rate, p-value <0.01). While clearance of ctDNA levels after primary treatment cycle 1 was observed in 3/6 patients, all patients analyzed at final evaluation of primary treatment showed negative ctDNA, hence correlating with PET-CT imaging. One patient with positive ctDNA at interim also displayed detectable ctDNA (average variant allele frequency (VAF) 6.9%) in the follow-up plasma sample collected 2 years after final evaluation of primary treatment and 25 weeks before clinical manifestation of relapse.ConclusionIn summary, we demonstrate that multi-targeted cfDNA analysis, using a combination of SNVs/indels and SVs candidates identified by WGS analysis, provides a sensitive tool for MRD monitoring and can detect lymphoma relapse earlier than clinical manifestation
Understanding and Measuring Help-Seeking Barriers among Intimate Partner Violence Survivors: Mixed-Methods Validation Study of the Icelandic Barriers to Help-Seeking for Trauma (BHS-TR) Scale
Intimate partner violence (IPV) against women is a global human rights violation of vast proportions and a severe public health problem. Despite high rates of adverse outcomes related to IPV, help-seeking and service utilization among survivors is low. This exploratory sequential mixed-methods study using a combined etic–emic approach describes the validation of the Icelandic Barriers to Help-Seeking for Trauma (BHS-TR) scale. The qualitative phase involved developing new items based on the experiences of 17 Icelandic IPV survivors, identifying barriers including beliefs that help-seeking is a sign of weakness, and the desire to safeguard oneself from re-traumatization. The quantitative phase examined the psychometrics of the BHS-TR in a sample of 137 IPV survivors in Iceland. Results supported an eight-factor structure (Financial Concerns; Unavailable/Not Helpful; External Constraints; Inconvenience; Weakness/Vulnerability; Problem Management Beliefs; Frozen/Confused; and Shame), which when grouped comprised two indices of Structural and Internal Barriers. The scale’s internal consistency was high (α  =  0.87), and the results provided evidence of convergent, discriminant, and known-group validity. This study adds to the growing literature supporting the advantages of applying mixed methods for instrument development and validation, and its results highlight the significance of giving rise to the voices of survivors. The BHS-TR is the first trauma-specific and survivor-centered measure of help-seeking barriers available in Iceland. It can be used to provide valuable information that may guide the development of evidence-based interventions to break down barriers and help survivors find ways to trauma recovery
BRCA2 Haploinsufficiency in Telomere Maintenance
Our previous studies showed an association between monoallelic BRCA2 germline mutations and dysfunctional telomeres in epithelial mammary cell lines and increased risk of breast cancer diagnosis for women with BRCA2 999del5 germline mutation and short telomeres in blood cells. In the current study, we analyzed telomere dysfunction in lymphoid cell lines from five BRCA2 999del5 mutation carriers and three Fanconi Anemia D1 patients by fluorescence in situ hybridization (FISH). Metaphase chromosomes were harvested from ten lymphoid cell lines of different BRCA2 genotype origin and analyzed for telomere loss (TL), multitelomeric signals (MTS), interstitial telomere signals (ITS) and extra chromosomal telomere signals (ECTS). TL, ITS and ECTS were separately found to be significantly increased gradually between the BRCA2+/+, BRCA2+/- and BRCA2-/- lymphoid cell lines. MTS were found to be significantly increased between the BRCA2+/+ and the BRCA2+/- heterozygous (p < 0.0001) and the BRCA2-/- lymphoid cell lines (p < 0.0001) but not between the BRCA2 mutated genotypes. Dysfunctional telomeres were found to be significantly increased in a stepwise manner between the BRCA2 genotypes indicating an effect of BRCA2 haploinsufficiency on telomere maintenance
Cohort study on the experiences of cancer diagnosis and treatment in Iceland in the year 2015-2019
SpĂĄĂ° er mikilli fjölgun krabbameinstilfella ĂĄ Ăslandi nĂŠstu ĂĄratugi. MikilvĂŠgt er aĂ° fĂĄ aukna innsĂœn Ă reynslu ĂŸeirra sem greinast meĂ° krabbamein meĂ° ĂŸaĂ° aĂ° markmiĂ°i aĂ° bĂŠta lĂfsgĂŠĂ°i ĂŸeirra og horfur.INTRODUCTION: In the coming years, an increase in the number of cancer cases can be expected in Iceland. It is important to gain more insight into the experiences of the diagnostic- and treatment phase among those diagnosed with cancer to improve quality of life and life expectancy. METHODS: The study included 4575 individuals diagnosed with cancer between 2015 and 2019 in Iceland, 18 years or older at the time. Participants answered an on-line questionnaire once between 2020 and 2021. RESULTS: A total of 1672 (37%) individuals responded to the questionnaire. The mean age at diagnosis was 59 years (±12). The majority of participants were informed on their cancer diagnosis during a doctor's appointment (67%), but a quarter (25%) received the information by telephone. A total of 77% of participants were satisfied with the diagnostic process, thereof relatively fewer women than men (73% vs. 83%) (p<0,001). Fewer of those who received the cancer diagnosis by telephone were pleased with the diagnostic process (62%) compared with those receiving information during a doctor's appointment (85%) (p<0,001). More women (58%) than men (33%) expressed the need for support regarding mental well-being from healthcare professionals during the diagnostic process (p<0.001). In 2015, 36% of participants started treatment more than month after diagnosis, compared with 51% in 2019. The need for various specific resources during treatment, e.g. physiotherapy, psychological services or nutritional counseling were regularly assessed among 20-30% of participants. CONCLUSION: A quarter of respondents diagnosed with cancer received information about the diagnosis over the phone instead of an interview. There is a suggestion that the time from diagnosis to the start of cancer treatment is increasing. It is necessary to assess whether it is possible to support individuals with cancer better during the diagnostic- and treatment phase based on their individual needs.Peer reviewe
Different Prognostic Impact of Recurrent Gene Mutations in IGHV-Mutated and IGHV-Unmutated Chronic Lymphocytic Leukemia: A Retrospective, Multi-Center Cohort Study By Eric, the European Research Initiative on CLL, in Harmony
Abstract The mutational status of the immunoglobuin heavy variable (IGHV) genes is an undisputable strong prognostic factor that subdivides patients with chronic lymphocytic leukemia (CLL) into 2 subgroups, i.e. IGHV-unmutated CLL (U-CLL) and IGHV-mutated CLL (M-CLL). U-CLL and M-CLL have distinct landscapes of genomic aberrations as well as distinct prognosis, since U-CLL is considerably more aggressive than M-CLL. That said, there is considerable clinical heterogeneity among M-CLL patients, ranging from patients without need of treatment to patients requiring early therapeutic intervention, indicating the need to further refine prognosis in this subgroup. In recent years, it has become evident that the prognostic impact of genomic aberrations may differ depending on IGHV gene mutational status. Hence, defining genomic aberrations with prognostic impact in M-CLL patients may help identifying patients with an predicted unfavorable prognosis within this subgroup, with obvious implications for management of follow up and therapy choice. To study the clinical impact of recurrent gene mutations in relation to IGHV gene mutational status, we collected a large, multi-center cohort including 4,674 patients with CLL [median age at diagnosis, 64.5 years; male/female, n=2,962 (63%)/n=1,712 (37%); Binet stage A (n=3,369, 74%), B (n=827, 18%), and C (n=387, 8%); IGHV-mutated (M-CLL, n=2,498, 56%) and IGHV-unmutated (U-CLL, n=1,927, 44%); isolated del(13q) (n=1,868, 41%), trisomy 12 (n=571, 13%), del(11q) (n=503, 11%), and del(17p) (n=249, 5.5%); treated (n=2,745, 59%) and untreated (n=1,929, 41%)] and performed next-generation sequencing (NGS) and/or Sanger sequencing of 9 genes (BIRC3, EGR2, NFKBIE, MYD88, NOTCH1, POT1, SF3B1, TP53, and XPO1) on pre-treatment samples. Overall, pathogenic mutations in any of these genes were detected in 1720/4674 patients (36.8%, using a variant allele frequency cutoff of 5% for NGS), while the remaining patients were wildtype; 2 mutations were observed in 361 patients (7.7%) and 3 or more mutations in 58 patients (1.2%). The mutation frequency for the individual genes was: TP53 (10.4%, including TP53 mutations and/or del(17p)), NOTCH1 (10.1%, 3'UTR mutations not included), SF3B1 (9.3%), XPO1 (3.9%), POT1 (3.8%), NFKBIE (3.7%), BIRC3 (3.0%), EGR2 (2.5%) and MYD88 (2.5%; Figure 1A). Except for MYD88, gene mutations in each of the investigated genes were associated with significantly shorter time-to-first-treatment (TTFT) in univariate analysis. In multivariate analysis of Binet stage A patients (n=3,369; including all genes, IGHV gene mutational status, age at diagnosis and gender), SF3B1 (Hazard Ratio (HR) 1.79; p<0.001) ,âBIRC3 mutations (HR 1.50; p=0.004), XPO1 (HR 1.29; p=0.020), EGR2 (HR 1.42; p=0.021) and TP53 aberrations (HR 1.21; p=0.028), along with unmutated IGHV genes (HR 4.21; p<0.001) and male gender (HR 1.12; p=0.027) remained as independent factors for shorter TTFT. In a multivariate model focusing on M-CLL Binet stage A patients (n=2,049), SF3B1 (HR 2.72; p<0.001), NOTCH1 (HR 1.65; p=0.006), XPO1 (HR 2.21; p=0.021) and NFKBIE mutations (HR 1.74; p=0.025) were independent markers of poor TTFT (Figure 1B), while conversely in U-CLL Binet stage A cases (n=1157), SF3B1 mutations (HR 1.49; p<0.001), TP53 aberrations (HR 1.30; p=0.011), BIRC3 mutations (HR 1.49; p=0.016) and male gender (HR 1.20; p=0.012) were significant factors for shorter TTFT (Figure 1C). In summary, different spectra of genetic mutations independently predicted short TTFT in M-CLL and U-CLL, respectively, with SF3B1 mutations as the only aberration found to be significant predictor of shorter time to first treatment in both subgroups. Importantly, mutations within several genes (i.e. SF3B1, NOTCH1, XPO1 and NFKBIE) identified patients in the M-CLL subgroup with a high-risk profile; conversely, TP53 mutations did not affect TTFT in this subgroup. On these grounds, we suggest to include analysis of recurrent gene mutations to identify high-risk patients within the M-CLL subgroup. Figure 1 Figure 1. Disclosures Brieghel:âAstraZeneca: Consultancy. Rossi:âJanssen: Honoraria, Research Funding; AstraZeneca: Honoraria, Research Funding; Gilead: Honoraria, Research Funding; Abbvie: Honoraria, Research Funding; Verastem: Honoraria, Research Funding; Roche: Honoraria, Research Funding; Cellestia: Honoraria, Research Funding. Scarfo:âAstra Zeneca: Honoraria; Abbvie: Honoraria; Janssen: Honoraria, Other: Travel grants. Mattsson:âGilead: Research Funding. Baliakas:âJanssen: Honoraria; Gilead: Honoraria, Research Funding; Abbvie: Honoraria. Martinez-Lopez:âJanssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees. de la Serna:âAbbVie, AstraZeneca, Beigene, Gilead, GSK, Janssen, Jazzpharma, Novartis, Roche: Consultancy; ABBVIE, ASTRAZENECA,ROCHE: Research Funding; AbbVie, AstraZeneca, Roche: Speakers Bureau. HernĂĄndez Rivas:âAmgen: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene/BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees. Smedby:âJansen-Cilag: Other: part of a research collaboration between Karolinska Institutet and Janssen Pharmaceutica NV for which Karolinska Institutet has received grant support. Bullinger:âPfizer: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Gilead: Consultancy; Daiichi Sankyo: Consultancy, Honoraria; Hexal: Consultancy; Janssen: Consultancy, Honoraria; Jazz Pharmaceuticals: Consultancy, Honoraria, Research Funding; Menarini: Consultancy; Novartis: Consultancy, Honoraria; Amgen: Honoraria; Astellas: Honoraria; Sanofi: Honoraria; Seattle Genetics: Honoraria; Bayer: Research Funding. Bosch:âTAKEDA: Membership on an entity's Board of Directors or advisory committees, Other: Travel; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel; AbbVie: Membership on an entity's Board of Directors or advisory committees, Other: Travel; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees, Other: Travel. Terol:âBMS: Consultancy; Roche: Membership on an entity's Board of Directors or advisory committees, Other: Travel; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel; Janssen: Membership on an entity's Board of Directors or advisory committees, Other: Travel, Research Funding; Roche: Consultancy; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Other: Travel; Hospital Clinico Valencia: Current Employment. Cuneo:âAstraZeneca: Consultancy, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; Gilead: Consultancy, Speakers Bureau; AbbVie: Consultancy, Speakers Bureau. Gaidano:âJanssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Incyte: Membership on an entity's Board of Directors or advisory committees; Beigene: Membership on an entity's Board of Directors or advisory committees; Astrazeneca: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Niemann:âNovo Nordisk Foundation: Research Funding; CSL Behring, Genmab, Takeda, Octapharma: Consultancy; Abbvie, AstraZeneca, Janssen: Consultancy, Research Funding. Ghia:âRoche: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Sunesis: Research Funding; AbbVie: Consultancy, Honoraria, Research Funding; Acerta/AstraZeneca: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria, Research Funding; ArQule/MSD: Consultancy, Honoraria; BeiGene: Consultancy, Honoraria; Celgene/Juno/BMS: Consultancy, Honoraria; Gilead: Consultancy, Research Funding. Rosenquist:âRoche: Honoraria; Janssen: Honoraria; Illumina: Honoraria; AstraZeneca: Honoraria; Abbvie: Honoraria