Abstract: Trisomy 8 (+8) is the most frequent trisomy in myelodysplastic syndromes (MDS) and is associated with clinical heterogeneity and intermediate cytogenetic risk when found in isolation. The presence of gene mutations in this group of patients and the prognostic significance has not been extensively analyzed. Targeted deep sequencing was performed in a cohort of 79 MDS patients showing isolated +8. The most frequently mutated genes were: TET2 (38%), STAG2 (34.2%), SRSF2 (29.1%) and RUNX1 (26.6%). The mutational profile identified a high-risk subgroup with mutations in STAG2, SRSF2 and/or RUNX1, resulting in shorter time to acute myeloid leukemia progression (14 months while not reached in patients without these mutations, p 〈 0.0001) and shorter overall survival (23.7 vs. 46.3 months, p = 0.001). Multivariate analyses revealed the presence of mutations in these genes as an independent prognostic factor in MDS showing +8 isolated (HR: 3.1; p 〈 0.01). Moreover, 39.5% and 15.4% of patients classified as low/intermediate risk by the IPSS-R and IPSS-M, respectively, were re-stratified as a high-risk subgroup based on the mutational status of STAG2, SRSF2 and RUNX1. Results were validated in an external cohort (n = 2494). In summary, this study validates the prognosis significance of somatic mutations shown in IPSS-M and adds STAG2 as an important mutated gene to consider in this specific subgroup of patients. The mutational profile in isolated +8 MDS patients could, therefore, offer new insights for the correct management of patients with a higher risk of leukemic transformation.

Abstract: Background: The development of new genetic profiling techniques such as Next Generation Sequencing (NGS) have helped to unravel the genomic landscape of a large number of hematological diseases. In acute myeloblastic leukemia (AML), many mutations have been found at diagnosis or during the course of the disease, either alone or in combination. Nevertheless, the clinical significance of most of them has not been well established. That is particularly true regarding infrequent gene mutations and their co-mutations as they are underrepresented in most case series that have been analyzed so far. The big data platform of HARMONY alliance provides the excellent basis for addressing this problem as it assimilates clinical and genomic information about AML patients from over 100 organisations in 18 European countries comprising more than 5000 patients. Anonymised and harmonized using OMOP standards, data collected in HARMONY are optimal for studying the impact of gene-gene-interactions overcoming differences related to data providers. Aims: To identify clinically significant genetic patterns of 2 or more concurrent mutations using the Harmony alliance AML database Methods: From the HARMONY alliance database, we selected ~3600 AML patients with NGS molecular panel analysis. We first performed survival analysis between each gene combination and then we rendered those with statistically significant differences in one easy-to-read graph using the Gephi platform (Fig. A). We then highlighted promising or unexpected associations and analyzed them one by one in greater detail. Finally, these results were validated on an independent cohort. Results: We found that the co-mutation of RAD21 (RAD21mut) in DNMT3A mutated (DNMT3Amut) AML impacted outcome compared to DNMT3Amut alone patients (Fig. B, 3-year survival, 81% vs 52%, p=0.016). However, this effect was exclusively seen in allogeneic transplant recipients. In order to identify possible bias that could be generated if RAD21mut were associated with other well-known favorable prognosis mutations, we compared the frequency of each mutation in our DNMT3Amut / RAD21mut subgroup with the global AML cohort. NPM1 co-mutation was more frequent in the DNMT3Amut / RAD21mut group (Fig. C 3, 84% of patients with NPM1 mutation (NPM1mut) vs 26% in the global cohort), potentially explaining the higher survival. Next, we tried to isolate the positive effect of NPM1 on outcome by comparing DNMT3Amut / NPM1mut patients with and without the RAD21 co-mutation. This analysis showed a favorable outcome only in RAD21mut patients compared to RAD21 wildtype (Fig. D, 3-year survival, 83% in RAD21mut / DNMT3Amut / NPM1mut vs 50% in DNMT3Amut / NPM1mut with RAD21 wildtype, p=0.016), one more time only in allogeneic transplant recipients. Finally in order to validate our results we reproduced this study from the beginning using an independent cohort of 3125 AML patients. The Gephi graph confirmed an association of DNMT3Amut / RAD21mut patients with better survival over DNMT3A alone (3 year-survival, 75% vs 37%, p & lt;0.001). NPM1 co-mutation was again more frequent in the good prognosis group (76% vs 27%) but comparing RAD21mut / DNMT3Amut / NPM1mut patients with DNMT3Amut / NPM1mut alone still revealed good prognosis to be related with RAD21mut (3 year-survival, 87.5% in patients with RAD21mut vs 38% with RAD21 wildtype, p & lt;0.001). Conclusions: Using the HARMONY alliance database we tested for potential gene co-mutations in AML patients, often very infrequently represented in other studies. Our data suggest that RAD21mut has a positive effect on outcome in patients receiving an allogeneic transplant with concurrent mutation of DNMT3A and NPM1. Even though NPM1mut is much more frequent in the DNMT3Amut / RAD21mut group, its association with favourable outcome seems to depend on the presence of an additional RAD21mut Keywords: AML , gene combinations, RAD21, DNMT3A, NPM1, HARMONY, big data. Figure: Graphical results. A. View obtained from the Gephi platform with the gene combinations and their effect on survival. B. Survival curves respectively of the DNMT3A+RAD21 cohort and the DNMT3A-only one. 1. Representation of the proportions of each mutation in the overall cohort (red) compared to the DNMT3A+RAD21 cohort (blue). D. Survival curves respectively of the NPM1+DNMT3A+RAD21 cohort and the NPM1+DNMT3A one. Figure 1 Figure 1. Disclosures Sobas: Novartis: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Heckman: Novartis: Research Funding; Orion Pharma: Research Funding; Celgene/BMS: Research Funding; Oncopeptides: Consultancy, Research Funding; Kronos Bio, Inc.: Research Funding. Ayala: Incyte Corporation: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astellas: Honoraria; Celgene: Honoraria. Dombret: Amgen: Honoraria, Research Funding; Incyte: Honoraria, Research Funding; Jazz Pharmaceuticals: Honoraria, Research Funding; Novartis: Research Funding; Pfizer: Honoraria, Research Funding; Servier: Research Funding; Abbvie: Honoraria; Daiichi Sankyo: Honoraria; BMS-Celgene: Honoraria. Sierra: Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz Pharmaceuticals: Research Funding; Novartis: Honoraria, Research Funding, Speakers Bureau; BMS Celgene: Honoraria, Research Funding; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Pfizer: Honoraria; Roche: Other: Educational grant; Janssen: Other: Educational grant; Amgen: Other: Educational grant; Alexion: Other: Educational grant. Mayer: Principia: Research Funding. Voso: Celgene: Consultancy, Research Funding, Speakers Bureau; Novartis: Speakers Bureau. Sanz: Helsinn Healthcare: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Boehringer Ingelheim: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel, accommodations, and expenses; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel, accommodations, and expenses, Speakers Bureau; Gilead Sciences: Other: Travel, accommodations, and expenses; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, accommodations, and expenses, Research Funding. Calado: Novartis: Current Employment. Döhner: Janssen: Honoraria, Other: Advisory Board; Jazz Roche: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Astellas: Research Funding; Agios and Astex: Research Funding; Daiichi Sankyo: Honoraria, Other: Advisory Board; Celgene/BMS: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding. Gaidzik: Janssen: Speakers Bureau; Pfizer: Speakers Bureau; Abbvie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Heuser: AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Research Funding; BergenBio: Research Funding; BMS/Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees, Research Funding; Tolremo: Membership on an entity's Board of Directors or advisory committees; Astellas: Research Funding; Bayer Pharma AG: Research Funding. Haferlach: MLL Munich Leukemia Laboratory: Other: Part ownership. Turki: Jazz Pharma: Consultancy, Speakers Bureau; MSD: Consultancy, Speakers Bureau; CSL Behring: Consultancy. Schulze-Rath: Bayer: Current Employment. Hernández Rivas: 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; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees. Bullinger: Jazz Pharmaceuticals: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria; Daiichi Sankyo: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Hexal: Consultancy; Gilead: Consultancy; Abbvie: Consultancy, Honoraria; Menarini: Consultancy; Novartis: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Amgen: Honoraria; Astellas: Honoraria; Sanofi: Honoraria; Seattle Genetics: Honoraria; Bayer: Research Funding. Döhner: Jazz: Honoraria, Research Funding; Janssen: Honoraria; GEMoaB: Honoraria; Astellas: Honoraria, Research Funding; Astex: Honoraria; Agios: Honoraria, Research Funding; Abbvie: Honoraria, Research Funding; Roche: Honoraria; Pfizer: Research Funding; Novartis: Honoraria, Research Funding; Oxford Biomedicals: Honoraria; Helsinn: Honoraria; BMS: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; AstraZeneca: Honoraria; Berlin-Chemie: Honoraria; Amgen: Honoraria, Research Funding. Ossenkoppele: Servier: Consultancy, Honoraria; Agios: Consultancy, Honoraria; Abbvie, AGIOS, BMS/Celgene Astellas,AMGEN, Gilead,Servier,JAZZ,Servier Novartis: Consultancy, Honoraria; Jazz: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria; Astellas: Consultancy, Honoraria; Gilead: Consultancy, Honoraria.

Abstract: Background: The decision to perform allogeneic haematopoietic stem cell transplantation (alloHSCT) in acute myeloid leukemia (AML) is based on the risk-benefit ratio (non relapse mortality vs reduction of relapse risk). In 2017, the European LeukemiaNet (ELN) proposed a risk score based on cytogenetic and molecular genetic characteristics to facilitate this decision. Despite this improved classification of the genetic landscape of AML, the assessment of risk of relapse should be more precise. However, large cohorts are needed to analyze the clinical outcome of specific genetic alterations. Within the HARMONY alliance, we have now collected harmonized clinical and analytical data for a large number of AML patients. Aims: This study focuses on AML patients who achieved first complete remission (CR1) that, according to ELN risk (low/intermediate) assessment are not classical candidates for alloHSCT as consolidation therapy. The aim of this study is to create a more accurate risk prediction in this setting based on an on-line tool that can visualize the likelihood of relapse and thereby help to determine in which patient alloHSCT should be performed in CR1. Methods: The data included in the HARMONY alliance database was provided by 100 organisations in 18 European countries. In order to be accepted, they passed through quality control, anonymisation and harmonisation processes before being included in the database. Harmonisation is carried out according to the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), which is specially designed to accommodate both administrative claims and medical records, making it possible to bring together all the information from different data sources and to speed up its subsequent analysis. Through the analysis platform, we selected patients from the ~5700 patients available that matched the target population of the study. We filtered out those patients without sufficient information on their clinical course, those who did not achieve complete remission and patients with a poor prognosis (adverse risk according to ELN2017), as the study focuses on patients who a priori did not have an indication for alloHSCT. This process resulted in a sample of 842 patients. In the next steps, variable selection was performed together with the treatment of incomplete cases by imputation. Multiple Machine Learning (ML) techniques, both parametric and non-parametric, were tested for predictions (Random Forest, Weibull distribution), all of them taking into account censored data. Other sets of methods were applied to explain the information handled by the previous models and to present graphically, for each prediction, a breakdown of the influence that each feature had on that prediction. Validation of the results is being performed both by testing by medical specialists and by means of statistical indicators, such as Harrell's index. Results: The study population of 842 AML patients included 47% females and the median age was 49 years. The most frequent mutation was NPM1 (50%), followed by DNMT3A (31%) and NRAS (26%). The tool first displays a panel in which characteristics such as age, gender, and possible mutations and cytogenetic abnormalities are selected from a list based on information in the HARMONY database. Once the desired profile has been selected, graphical results are provided: 1). the probability of Relapse-Free Survival (RFS) over time. In parallel, as a reference, the probability of RFS of patients corresponding to each category of the ELN2017 can be seen. 2). a breakdown of the relative weight of each feature in the model at a specific time point, as well as the positive/negative effect that the presence/absence of these features has on the prognostic factor of relapse, adapting all this information in each individual simulation. This preliminary research tool can integrate new data and be expanded with new tools to provide useful results in a simple and accessible way. Conclusion: Building big data platforms, such as the HARMONY Alliance, are absolutely essential to facilitate the creation of tools to support research and ultimately clinical practice. Big data analysis should be considered a very useful field in disease research and it is necessary to share the results with easy-to-use tools that are available at all times. This new ML tool for AML aims to achieve these goals through its simple design and its implementation in mobile devices. Figure 1 Figure 1. Disclosures Sobas: Novartis: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Heckman: Kronos Bio, Inc.: Research Funding; Oncopeptides: Consultancy, Research Funding; Novartis: Research Funding; Orion Pharma: Research Funding; Celgene/BMS: Research Funding. Dombret: Amgen: Honoraria, Research Funding; Incyte: Honoraria, Research Funding; Jazz Pharmaceuticals: Honoraria, Research Funding; Novartis: Research Funding; Pfizer: Honoraria, Research Funding; Servier: Research Funding; Abbvie: Honoraria; BMS-Celgene: Honoraria; Daiichi Sankyo: Honoraria. Sierra: Jazz Pharmaceuticals: Research Funding; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: Other: Educational grant; BMS Celgene: Honoraria, Research Funding; Alexion: Other: Educational grant; Novartis: Honoraria, Research Funding, Speakers Bureau; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Other: Educational grant; Janssen: Other: Educational grant; Pfizer: Honoraria. Mayer: Principia: Research Funding. Voso: Celgene: Consultancy, Research Funding, Speakers Bureau; Novartis: Speakers Bureau. Sanz: Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel, accommodations, and expenses, Speakers Bureau; Gilead Sciences: Other: Travel, accommodations, and expenses; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Boehringer Ingelheim: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel, accommodations, and expenses; Helsinn Healthcare: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, accommodations, and expenses, Research Funding. Calado: Novartis: Current Employment. Döhner: Celgene/BMS: Consultancy, Honoraria, Research Funding; Daiichi Sankyo: Honoraria, Other: Advisory Board; Astellas: Research Funding; Jazz Roche: Consultancy, Honoraria; Agios and Astex: Research Funding; Abbvie: Consultancy, Honoraria; Janssen: Honoraria, Other: Advisory Board; Novartis: Consultancy, Honoraria, Research Funding. Gaidzik: Abbvie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Speakers Bureau; Janssen: Speakers Bureau. Heuser: Jazz Pharmaceuticals: Consultancy, Honoraria, Other: Research funding for institution; Janssen: Honoraria; Novartis: Consultancy, Honoraria, Other: Research funding for institution; Abbvie: Consultancy; BMS/Celgene: Consultancy; Daiichi Sankyo: Consultancy, Other: Research funding for institution; Pfizer: Consultancy, Other: Research funding for institution; Roche: Consultancy, Other: Research funding for institution; Tolremo: Consultancy; Astellas: Other: Research funding for institution; Bayer Pharma AG: Other: Research funding for institution; BergenBio: Other: Research funding for institution; Karyopharm: Other: Research funding for institution. Haferlach: MLL Munich Leukemia Laboratory: Other: Part ownership. Turki: CSL Behring: Consultancy; MSD: Consultancy, Speakers Bureau; Jazz Pharma: Consultancy, Speakers Bureau. Reinhardt: Astellas Pharma Inc.: Research Funding; Eusa: Other: Advisory board; Novartis: Other: Advisory board; BluebirdBio: Other: Advisory board; Janssen: Other: Advisory board; Abbvie: Other: Advisory board; JAZZ: Other: Advisory board; BMS: Other: Advisory board. Schulze-Rath: Bayer: Current Employment. Dohner: Berlin-Chemie: Honoraria; Bristol Myers Squibb: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; GEMoaB: Honoraria; Gilead: Honoraria; Helsinn: Honoraria; Janssen: Honoraria; Jazz Pharmaceuticals: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Oxford Biomedica: Honoraria; Pfizer: Research Funding; Roche: Honoraria; AstraZeneca: Honoraria; Astex Pharmaceuticals: Honoraria; Astellas: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Agios: Honoraria, Research Funding; Abbvie: Honoraria, Research Funding. Ossenkoppele: Abbvie, AGIOS, BMS/Celgene Astellas,AMGEN, Gilead,Servier,JAZZ,Servier Novartis: Consultancy, Honoraria; Agios: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria; Astellas: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Servier: Consultancy, Honoraria; Jazz: Consultancy, Honoraria. Bullinger: Pfizer: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Menarini: Consultancy; Jazz Pharmaceuticals: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria; Astellas: Honoraria; Sanofi: Honoraria; Seattle Genetics: Honoraria; Bayer: Research Funding; Amgen: Honoraria; Daiichi Sankyo: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Gilead: Consultancy; Celgene: Consultancy, Honoraria; Hexal: Consultancy. Hernández-Rivas: Amgen: 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; Celgene/BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.