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Survival and Prognosis Among 301 Patients with Newly-Diagnosed Acute Myeloid Leukemia Following Venetoclax Plus Hypomethylating Agent Therapy
Karrar, Omer , Iftikhar, Moazah, Johnson, Isla McKerrow , Abdelmagid, Maymona, Al‐Kali, Aref , Begna, Kebede H. , Mangaonkar, Abhishek A. , Litzow, Mark R. , Patnaik, Mrinal M. , Pardanani, Animesh , Foran, James M. , Palmer, Jeanne , Sproat, Lisa, Khera, Nandita , Yi, Cecilia Y. Arana , Tefferi, Ayalew , Gangat, Naseema , McCullough, Kristen , Alkhateeb, Hassan B. , Saliba, Antoine N. , Hefazi, Mehrdad , Hogan, William J. , Shah, Meera , Badar, Talha , Murthy, Hemant S. , Yi, Cecilia Arana

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 591-591

10.1182/blood-2023-178837 Get It

Background: Venetoclax (Ven) in combination with hypomethylating agent (HMA) is the preferred treatment for elderly/unfit patients with newly-diagnosed acute myeloid leukemia (AML). Current prognostication for AML is based on European LeukemiaNet (ELN) genetic risk stratification which has limited applicability in patients treated with Ven-HMA ( Blood, 2022). Accordingly, our primary objective was to determine predictors of treatment response and survival outcomes in treatment-naïve AML patients receiving Ven-HMA. Methods: Our study population was recruited from Mayo Clinic (MN, FL, AZ), after institutional review board approval and based on documentation of newly-diagnosed AML treated with Ven-HMA outside of clinical trials between November 2018 and April 2023. Cytogenetic and molecular studies were performed by conventional karyotype, and next-generation sequencing, respectively. Response was assessed according to the 2022 ELN criteria Results: Patient characteristics A total of 301 newly-diagnosed AML patients (median age 73 years, 66% male, 62% de novo) received a median of 3 cycles (range 1-48) of azacitidine 75 mg/m2 days 1-7 ( n=100) or decitabine 20 mg/m2 days 1-5 ( n=201) with Ven. ELN 2022 cytogenetic risk included favorable (1%, n=4), intermediate (61%, n=184) or adverse (38%, n=113). Mutations involved TP53 in 77/301 (25%), ASXL1 in 54/279 (19%), RUNX1 in 54/296 (18%), NPM1 in 44/299 (15%), DNMT3A in 40/296 (13%), K/NRAS in 41/296 (14%), IDH1 in 20/301 (6%), IDH2 in 30/301 (10%), FLT3-ITD in 25/301 (8%) and DDX41 in 9/247 (4%) of informative cases. Predictors of response Complete remission, with (CR) or without (CRi), count recovery, was documented in 182 (60%) patients, including CR in 36% and measurable residual disease (MRD) negative by flow cytometry in 77% of 105 informative cases that achieved CR/CRi. Median time to CR/CRi was 1.4 months. In univariate analysis, CR/CRi was more likely to occur in the presence of NPM1 mutation, (86% vs. 56%; p < .01), IDH2 mutation, (80% vs. 58%; p = .02), DNMT3A mutation, (78% vs. 57%; p = .01), or DDX41 mutation, (100% vs. 58%; p <.01), and in the absence of adverse karyotype, (71% vs. 42%; p < .01), TP53 mutation, (67% vs. 40%; p <.01), FLT3-ITD mutation, (63% vs. 36%; p = .01), or RUNX1 mutation, (64% vs. 44%; p = .01); in multivariable analysis, adverse karyotype, ( p < .01), FLT3-ITD ( p < .01), RUNX1 ( p < .01), NPM1 ( p = .03), IDH2 ( p = .04), and DDX41, ( p = .01) mutations remained significant. Predictors of survival After a median follow-up of 8.5 months (range 0.5-56), 13.2 months for living patients, 174 (58%) deaths, 73 relapses (40% of those achieving CR/CRi), and 41 (14%; including 35 in CR/CRi) allogeneic hematopoietic stem cell tranplants (AHSCT) were documented. In univariate analysis of pre-treatment variables, thrombocytopenia < 100 x 10 9/l, (HR 1.5, 95% CI 1.03-2.2; p = .03), adverse karyotype, (HR 2.8, 95% CI 2.1-3.8; p < .01) TP53 mutation, (HR 2.5, 95% CI 1.8-3.5; p < .01), or absence of IDH2 mutation, (HR 3.5, 95% CI 1.7-7.6; p < .01) predicted inferior survival. Failure to achieve CR/CRi (HR 4.5, 95% CI 3.3-6.1; p < .01) was also associated with inferior survival and in multivariable analysis, failure to achieve CR/CRi, (HR 3.4, 95% CI 2.5-4.8; p< .01), presence of adverse karyotype, (HR 1.6, 95% CI 1.1-2.6; p = .02), TP53 mutation, (HR 1.6, 95% CI 1.002-2.4; p = .04), and absence of IDH2 mutation (HR 2.2, 95% CI 1.004-4.7; p = .04) were identified as risk factors for survival. Subsequent HR-weighted scoring resulted in three-tiered risk stratification: low (0-1 point; n= 130), intermediate (2-3 points; n= 105), and high (4-5 points; n= 66), with respective median survival (3-year rate) of 28.9 (48%), 9.6 (6%), and 3.1 (0%) months ( p < .01) (Figure). AHSCT had an independent favorable impact on survival (HR 0.3, 95% CI 0.1-0.6; p < .01), most apparent in low ( p =0.04), and intermediate ( p <.01), as opposed to high ( p = .06) risk. Conclusions: In the current single institutional series of Ven-HMA treated newly-diagnosed AML, response to Ven-HMA was the foremost predictor of survival. Additional risk factors for survival included adverse karyotype, presence of TP53 and absence of IDH2 mutations. These observations allowed for a three-tiered genetics-enhanced survival model with CR/CRi as a backbone, and also confirmed survival advantage from AHSCT, regardless of risk category.
Number Needed to Treat Analyses of Zanubrutinib in Relapsed/Refractory Chronic Lymphocytic Leukaemia
Chanan‐Khan, Asher , Xue, Mei , Massoudi, Marjan , Balk, Mark, ZivariPiran, Hossein, Duan, Cecilia, Yang, Keri, Hanna, Kirollos S.

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 2337-2337

10.1182/blood-2023-174709 Get It

Introduction: Chronic lymphocytic leukaemia (CLL) is the most common leukaemia type. In 2020, there were an estimated 207,463 people living with CLL, with an annual incidence of approximately 4.9 per 100,000 in the United States (US). Zanubrutinib is a Bruton tyrosine kinase inhibitor that is FDA-approved and an NCCN preferred and recommended treatment of CLL. In the phase 3 ALPINE trial (NCT03734016), zanubrutinib elicited a significantly higher overall response rate and significantly longer progression-free survival (PFS) than ibrutinib. This study aimed to compare zanubrutinib versus ibrutinib in Relapsed/Refractory (R/R) CLL by calculating the number needed to treat (NNT) to avoid one progression or death and associated incremental costs. Methods:A health-economic model was developed to evaluate the number of R/R CLL patients needed to be treated to avoid a progression or death from the US payer perspective. Payer blend was assumed with 40% Commercial and 60% Medicare payer mix. Clinical efficacy data were extracted from the ALPINE trial. Final analysis result of 24-month PFS (79.5% for zanubrutinib and 67.3% for ibrutinib) was used for the base-case analysis in the model. Treatment, adverse event management, other medical resource use, and subsequent treatment costs were considered in the model. The NNT, incremental cost per treated patient, and incremental cost per additional patient with progression or death were captured. Deterministic sensitivity analyses were conducted to assess parameter uncertainties and explore key model drivers. Scenario analyses were conducted to test the impact of different PFS estimates. Results: The base-case results fromthe NNT model showed that for every 8 patients treated with zanubrutinib, 1 event of progression or death would be avoided compared to using ibrutinib. The total costs per patient treated with zanubrutinib and ibrutinib are $370,558 and $430,150, respectively, with a cost savings of $59,593 associated with using zanubrutinib (Table). Drug costs and PFS have the greatest impact on the incremental cost per patient. Varying the PFS scenarios, including adjustment with drug interruption, COVID death, or treatment discontinuation, change the NNT from 8 to 12, and are associated with cost savings of $58,179 to $67,153 per zanubrutinib-treated patient in a 24-month time frame. Applying the model result to a hypothetical scenario of a clinical practice of 100 patients treated with zanubrutinib versus ibrutinib suggest that approximately 13 patients will avoid disease progression events or death. Conclusions: The NNT model suggests thatusing zanubrutinib to treat R/R CLL patients, compared to ibrutinib, will result in more favorable clinical and economic outcomes in the US.
A Phase 1 Study of CD38-Bispecific Antibody (XmAb18968) for Patients with CD38 Expressing Relapsed/Refractory Acute Myeloid Leukemia
Yi, Cecilia Y. Arana , Baim, Arielle , Kearl, Tyce , Harrington, Alexandra M., Murthy, Guru Subramanian Guru , Leonard, Jessica T , Badar, Talha , Yi, Cecilia Arana , DuVall, Adam , Shah, Bijal , Szabó, Anikó , Atallah, Ehab

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 1541-1541

10.1182/blood-2023-187721 Get It

Background: Outcomes of adults with relapsed/refractory acute myeloid leukemia (RR-AML) have remained poor. CD38 is a transmembrane glycoprotein that is highly expressed in AML and is potentially targetable with CD38 blocking agents [Naik J et al. Haematologica 2019, Tembhare et al. J Immunother Cancer 2020]. XmAb18968 is a novel CD38-CD3 bi-specific T-cell engager with Fc domain modified to minimize Fcγ receptor binding and non-selective T-cell activation resulting in reduced cytokine release without compromising target cell killing. We designed a phase I clinical trial to assess the safety and tolerability of XmAb18968 in patients with RR-AML. Methods: We conducted a multicenter, open label, phase I dose escalation study of XmAb18968 (NCT05038644). Patients aged ≥18 years with relapsed/refractory AML, ECOG PS 0-2 and adequate organ function were eligible. Major exclusion criteria are hematopoietic cell transplantation within 6 months of enrollment, active acute graft-versus-host disease, and acute promyelocytic leukemia. Dose escalation was conducted using 3+3 design and 4 separate dose levels were studied [0.8mg, 1mg, 1.3mg, 1.5mg]. XmAb18968 was administered intravenously on days 1, 8, 15, 22 on a 28-day cycle. During cycle 1 alone, day 1 dose was fractionated and administered over 2 days to minimize the risk of significant cytokine release syndrome (CRS). Treatment was continued until progression or unacceptable toxicity. The primary objective was to determine the safety and dose limiting toxicity (DLT) and secondary objective was to determine the preliminary efficacy. Measurable residual disease (MRD) status was assessed using multicolor flow cytometry with 0.01% sensitivity. Correlative studies included pharmacokinetics, characterizing changes in serum cytokines and phenotypic expression of activated T-cells and leukemic cells, correlation of the phenotypic expression with changes in transcriptome at the single-cell level, proteomics evaluation of cytokine secretion at the single-cell level and correlation of response with N-glycan profiling, quantitative site-occupancy, and direct glycopeptide analysis. Results: Thirteen patients with RR-AML were enrolled, 12 of whom were evaluable (1 patient came off study before DLT period). Median age was 63 years (45-77), 77% with adverse risk disease, 38% with secondary AML, and received median two (range 2-7) prior lines of therapy. Twelve of 13 patients (92%) were previously treated with venetoclax based regimen and 31% had prior allogeneic HCT. Adverse risk mutations included TP53 (31%), RUNX1 (23%), and ASXL1 (15%). Grade 3 or higher adverse events included anemia (8%), neutropenia (15%), and thrombocytopenia (23%) (Table 1). CRS grades 1-2 were noted in 62% of patients, no grade ≥3 CRS or neurotoxicity (any grade) was seen. There was no dose limiting toxicity (DLT). Of the 12 evaluable total patients, clinically meaningful response was noted in two patients who were MRD positive by flow cytometry prior to study entry and achieved MRD negative CR (Table 2). These two patients who achieved MRD negative CR subsequently proceeded to allogeneic HCT. Median time to response was 1 cycle. Median OS of the cohort was 6.2 months (1.8-NR). Conclusions: XmAb18968 is safe and well tolerated in patients with RR-AML. Dose escalation yielded MRD negative CR in RR-AML patients who were MRD positive at study entry. Details on correlative studies examining mechanisms of therapeutic efficacy and resistance will be reported in the main meeting.
Comparison of World Health Organization and International Consensus Classification Guidelines for Myeloid Neoplasms Harboring TP53-Mutations Using an Independent International Cohort
Shah, Syed , Ladon, Dariusz, Al‐Kali, Aref , Begna, Kebede H. , Litzow, Mark R. , Bardy, Peter, Patnaik, Mrinal M. , Foran, James M. , He, Rong , Gangat, Naseema , Yi, Cecilia Y. Arana , Mangaonkar, Abhishek A. , Tefferi, Ayalew , Shah, Meera , Kutyna, Monika , Tran, Elizabeth Ngoc Hoa , Baranwal, Anmol , Brown, Anna , Chen, Dong , Greipp, Patricia T. , Hogan, William J. , Kumar, Sharad , Yeung, David , Scott, Hamish S. , Yi, Cecilia Arana , Alkhateeb, Hassan B. , THOMAS, DANIEL W. , Hahn, Christopher N , Orazi, Attilio , Arber, Daniel A. , Kok, Chung Hoow , Hiwase, Devendra

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 3243-3243

10.1182/blood-2023-187860 Get It

BACKGROUND: Recently proposed World Health Organization (WHO, 5 th edition) and International Consensus Classification (ICC) recognized myeloid neoplasms (MN) harboring TP53-mutated ( TP53mut) as a separate entity. However, there are critical differences between the two classifications regarding allelic-status, variance allele frequency (VAF) cut-off and blast categories, that may lead to under- or overestimation of the risk. METHODS: We analyzed MN harboring TP53mut (VAF ≥2%, n=536) managed at Mayo Clinic (USA) and South Australia Health Network (Australia). ICC (Arber et al, Blood 2022) and WHO (Bluebook, Beta v2) definitions were used to stratify MN harboring TP53mut. RESULTS: Of 536 cases, 379 (71%) had myelodysplastic syndromes (MDS) (<20% blasts) and 157 (29%) had acute myeloid leukemia (AML). Using WHO, 160 (42%) of 379 were classified as MDS-bi TP53 as they harbored 2 TP53mut (n=115; 30%) or 1 TP53mut plus confirmed loss of heterozygosity (LOH) or copy neutral LOH (cnLOH) of TP53 locus (n=45; 12%). Sixty-two (16%) TP53mut MDS with VAF >49% were classified as presumptive MDS-bi TP53. Of the 157 cases with 1 TP53mut VAF ≤49%, 17 confirmed to have an intact wild-type TP53 copy and were classified as monoallelic. While 140 (89%) cases did not have copy number variation (CNV) analysis. We next evaluated the number of TP53mut cases classified differently by WHO and ICC. As WHO does not recognize TP53mut AML as a separate entity, 157 (29%) TP53mut AML were not classifiable. 46% (174/379) of the TP53mut MDS including 48 (30%), 12 (19%) and 79 (65%) of bi TP53, presumptive bi TP53 and monoallelic TP53mut MDS according to WHO were classified differently by ICC ( Figure 1A). Discordance between the two classifications were predominantly driven by: (i) The difference in VAF cut-off. Sixty patients (11%) with TP53mut VAF <10% were excluded from the ICC classification of TP53mut MN as it mandates TP53mut VAF cut-off ≥10%. 11 (18%) and 41 (68%) of these had bi TP53, monoallelic TP53mut MDS by WHO criteria while 8 (13%) had AML. Importantly, within the VAF <10% cohort, median overall survival (OS) of 2 TP53mut or 1 TP53mut with 17p13.1 (hereafter 17p) deletion or complex karyotype (CK, n=30) was significantly poor compared to 1 TP53mut VAF <10% (11.6 vs 32.4 months; P =0.002, Figure 1B), suggesting that ICC may underestimate the poor prognosis of multi-hit or multi-hit equivalent TP53mut MN with VAF <10%. (ii) The difference in bone marrow blast cut-off. The underlying assumption by WHO is that prognosis of bi TP53mut MDS is poor irrespective of blast percentage category (0-9% vs 10-19%). In contrast, ICC considers that TP53mut MDS/AML (blasts 10-19%) is associated with poor prognosis irrespective of TP53 allelic status. Median OS of TP53mut MDS with 10-19% blasts was significantly poor compared to blast 0-9% (6.4 vs 11.6 months, P <0.0001). Second, median OS of bi TP53mut was significantly poor than monoallelic TP53mut in MDS- blast 0-9% (10.1 vs 15.9 months; P =0.0001) but not in blasts 10-19% (6.8 vs 6.2 months; P =0.19). Hence, exclusion of monoallelic TP53mut MDS with blast 10-19% as TP53mut MN from the WHO classification may underestimate the poor prognosis. (iii) The difference in the definition of biallelic and multi-hit TP53 loss. 35 cases with 1 TP53mut VAF ≤49%, had 17p deletion but did not have CNV analysis to confirm the loss of TP53 locus and could not be classified further using WHO. ICC classified 18 (50%) of these cases as multi-hit. Median OS of 1 TP53mut VAF ≤49%, and 17p deletion on karyotype was significantly poor than 1 TP53mut (VAF ≤49%without 17p deletion on karyotype (6.4 vs 14.6 months, P =0.001). (iv) The difference in the definition of multi-hit equivalent. 32% (33/104) WHO defined monoallelic cases without available CNV data, were classified as multi-hit-equivalent by ICC as they harbored CK. However, WHO does not consider CK as presumptive evidence of bi TP53. Median OS of 1 TP53mut VAF ≤49% with CK was significantly poor compared to 1 TP53mut without CK (8.2 vs 26.9 months, P =0.0008). CONCLUSION: Our study provides evidence that poor prognosis of ‘multi-hit’ TP53 with VAF <10% is underestimated by ICC. On the other hand, poor prognosis of monoallelic TP53 MDS with 10-19% blasts as well as 1 TP53mut VAF ≤49% in the presence of CK is underestimated by WHO. These data suggest that both classifications can be further refined.
Long-Term Follow up for SWOG 1318: Combination of Dasatinib, Prednisone, and Blinatumomab for Older Patients with Philadelphia-Chromosome (Ph) Positive Acute Lymphoblastic Leukemia (ALL)
Moseley, Anna , O’Dwyer, Kristen M. , Park, Jae H. , Wieduwilt, Matthew J. , Jeyakumar, Deepa , Yaghmour, George , O’Brien, Susan , Litzow, Mark R. , Stone, Richard M. , Radich, Jerald P. , Advani, Anjali S. , O'Dwyer, Kristin , Wood, Brent L. , Atallah, Ehab , Gerds, Aaron T. , Liesveld, Jane L. , Othus, Megan , Sharon, Elad , Yeung, Cecilia C.S. , Erba, Harry Paul

Blood | December 1, 2023 | Volume: 142 | Issue: Supplement 1 | Pages: 1499-1499

10.1182/blood-2023-180204 Get It

Tyrosine kinase inhibitors (TKIs) have improved the outcomes of patients with Philadelphia chromosome positive (Ph+) acute lymphoblastic leukemia (ALL). Many older patients (pts) are not good candidates for intensive chemotherapy and are treated with TKIs plus corticosteroids or low-intensity chemotherapy. Although the remission rates with this approach have been high, the median disease-free survival (DFS) has been short. Therefore, novel treatment strategies are needed. This trial evaluated the feasibility of combining the TKI dasatinib with prednisone and blinatumomab in older pts with Ph+ ALL. Here we present updated results (median follow-up, 4.3 years). Methods: This trial was activated through the NCTN in January 2015 and closed to accrual in April 2021. Pt eligibility included: age ≥ 65 years; Ph+ or Ph-like ALL (with dasatinib-sensitive fusions or mutations); newly diagnosed or relapsed/ refractory; no evidence of central nervous system (CNS) disease; and adequate organ function. Treatment: For induction, pts received dasatinib 140 mg/d orally (PO) Days 1-56 along with prednisone 60 mg/m 2/d PO Days 1-24. Pts achieving complete remission (CR) or CR with incomplete count recovery (CRi) (Day 28 or Day 56) continued dasatinib until Day 84, followed by 3 cycles of post-remission therapy (PRT) with blinatumomab/ dasatinib. Pts not achieving CR or CRi by Day 56 received re-induction with blinatumomab. The response rate was assessed on Day 35 of blinatumomab. Pts not achieving CR/ CRi could receive a second cycle of blinatumomab. This was followed by 3 cycles of PRT with blinatumomab/ dasatinib. Maintenance therapy consisted of prednisone 60 mg/m 2/d x 5 days every 28 days for a total of 18 cycles, along with dasatinib 140 mg po qd indefinitely. CNS prophylaxis included intrathecal (IT) methotrexate every 4-6 weeks x 8 doses. IT methotrexate was given at least 2 days apart from blinatumomab. Response was assessed at Days 28, 56, and 84, and additional time points were dependent on response. Minimal residual disease (MRD) was assessed centrally by multi-color flow cytometry on Day 28. Statistics: A total of 24 eligible patients were accrued. The primary objective was the feasibility of the combination therapy. The combination was to be deemed feasible if the dose-limiting toxicity (DLT) was < 33%. DLT included: > Grade 3 non-hematologic toxicities (excluding nausea, vomiting, diarrhea) and Grade 4 neutropenia lasting > 42 days. The primary results were reported in 2022 with a median of 2.7 years of follow-up. Herein, we report long-term outcomes for these patients. Results: The median age was 73 years (range 65-87). All pts had newly diagnosed Ph+ ALL; 79% of Ph+ pts had additional cytogenetic abnormalities. During induction, 2 pts experienced treatment-related non-hematologic Grade 4 toxicities. No Grade 4 or higher treatment-related non-hematologic toxicities occurred during post-remission therapy or maintenance. The toxicity of the combination was deemed acceptable. Twenty-two of 24 pts (92%) achieved a CR during dasatinib and prednisone induction therapy. Four did not receive PRT (2 due to adverse events, 1 to receive a transplant, and 1 because of insurance issues). Sixteen pts who achieved CR had MRD data. Six of 16 pts (38%) were MRD undetectable by multi-color flow cytometry on Day 28. Most sites also monitored patients' blood or bone marrow with real-time quantitative PCR to quantify the BCR-ABL1 transcript for molecular response. Of 19 patients analyzed, 17 (89%) were in a major or complete molecular remission at some time point after treatment, with at least 12 of these patients achieving complete molecular remission. Four patients remain on maintenance. The median follow- up for pts who are alive is 4.3 years (range 2.6-6.5 years). The median overall survival (OS) is 6.5 years (95% CI 3-NA) and the median DFS has not been reached as of June 29, 2023. Kaplan-Meier 3-year estimates of OS and DFS are 75% (95% CI 52%-88%) and 72% (95% CI 49%-87%), respectively (Figure). Of the 8 relapses, 4 patients were CD19+ and 3 had T315I mutations. Conclusions: Median DFS and OS with dasatinib and blinatumomab in this older group of Ph+ ALL patients remain excellent despite only 1 patient proceeding to an allogeneic transplant. Further correlative studies (single cell transcriptomics and DNA methylation sequencing) are being planned to evaluate predictors of relapse and will be presented at the meeting.
The role of EZH2 and H3K27me3 epigenetic signature in modulating T-cell polarization in atherosclerosis
Bonfiglio, Cecilia Assunta , Winther, MPJ De, Lacy, Michael , Janjic, Aleksandar , Avcilar-Kücükgöze, Irem , Nitz, Katrin , Wu, Yuting , Wange, Lucas Esteban , Santovito, Donato , Bosmans, Laura A. , Imhof, Axel , Enard, Wolfgang , Weber, Christian , Lutgens, Esther , Atzler, Dorothee

European Heart Journal | November 11, 2023 | Volume: 44 | Issue: Supplement_2 | Pages: No page available

10.1093/eurheartj/ehad655.3232 Get It

Abstract Background Atherosclerosis is a chronic inflammatory disease, characterized by the formation of luminal plaques in arteries. Atheroprogression is accompanied by strong immune activation, during which T cells play a pivotal role. Genes driving T-cell activation are regulated by the polycomb repressive complex 2(PRC2), whose major component is the Enhancer of Zeste Homolog 2(EZH2), responsible for the methylation of Histone 3 Lysine 27(H3K27me3) epigenetic mark. Purpose We hypothesize that EZH2 mediates T-cell activation and modulates T-helper (Th) cell polarization, thus atherogenesis. Methods To study the effect of EZH2 in atherosclerosis, we backcrossed mice with Ezh2 flanked by loxP-sites sensitive to Cre-mediated inactivation in T cells to apolipoprotein E (Apoe-/-)mice and fed a high cholesterol diet to have hyperlipidemic Ezh2fl/flCd4CreApoe-/-mice and controls. Atherosclerotic plaque progression and immune cell phenotyping were assessed by histology, flow cytometry (FC), gene and protein expression analysis and single cell (sc)RNA-sequencing (Seq) as well as by functional in vitro assays. Results T cell-specific EZH2 deficiency resulted in a significant reduction in H3K27me3 in T-cells. Female Ezh2fl/flCd4Cre mice developed 34% less atherosclerotic plaques in the aortic root compared to wildtype (WT) littermates. FC analysis of spleen and lymph nodes of Ezh2fl/flCd4Cre mice revealed a shift from naive to effector CD4+ T cells, and the majority were Th2 cells (p<0.0001). Accordingly, plasma levels of lL4 and aortic IL4 transcripts were increased in Ezh2fl/flCd4Cre mice(p=0.05 and p=0.0079, respectively). Functional analysis revealed that splenic CD4+ T cells from Ezh2fl/flCd4Cre mice showed decreased migratory capacity towards the chemokines CXCL10, CCL17, CCL22, CCL19. To unravel mechanisms driving the type 2 immune response, bulk RNA-Seq of CD4+ T cells and scRNA-Seq of splenic CD3+ T cells from Ezh2fl/flCd4Cre and WT mice revealed that CD4+ T cell EZH2 deficiency caused upregulation of promyelocytic leukemia zinc finger (Plzf), a transcription factor of NKT cells of the NKT2 subtype, characterized by high IL4 production. Via FC we confirmed the increase in splenic NKT cells in Ezh2fl/flCd4Cre mice. Likewise, Plzf aortic mRNA levels were also significantly increased(p=0.002). To exploit the translational potential of T cell-specific EZH2 targeting, we treated Jurkat T cells with EZH2 inhibitors, the FDA-approved drug Tazemetostat and GSK126. Corroborating our in vivo data, EZH2 inhibitor-treated cells showed decreased H3K27me3 and 70% reduced migration towards the chemokine CXCL12. Conclusions Our study demonstrates that CD4+ T-cell specific EZH2 deficiency impairs T cell-migration and skews the immune response towards a type 2 response, resulting in protection against atherosclerosis. We aim at investigating whether the epigenetic mark H3K27me3 in T cells may be a promising therapeutic target for future cardiovascular immunotherapies.
Author response: Clinical characteristics, racial inequities, and outcomes in patients with breast cancer and COVID-19: A COVID-19 and cancer consortium (CCC19) cohort study
Vinayak, Shaveta , Sun, Tianyi , Kuderer, Nicole M. , Balmaceda, Nicole , Bilen, Mehmet Asım , Bindal, Poorva , Blau, Sibel , Bodin, Brianne E, Borno, Hala T. , Choi, Horyun, Deeken, John F. , Edwin, Natasha, Feldman, Lawrence , Flora, Daniel , Galsky, Matthew D. , Gonzalez, Cyndi J, Grivas, Petros , Gupta, Shilpa , Haynam, Marcy , Heilman, Hannah, Jhawar, Sachin R, Kaklamani, Virginia , Klein, Elizabeth J. , Koshkin, Vadim S. , Kulkarni, Amit , Kwon, Daniel H. , Lammers, Philip E. , Lathrop, Kate, Lewis, Mark A. , Lopes, Gilbert de Lima, Makower, Della , Mansoor, Abdul-Hai, Mashru, Sandeep H., McKay, Rana R. , Messing, Ian , Mico, Vasil, Nadkarni, Rajani, Namburi, Swathi, Nguyen, Ryan H, Nonato, Taylor K., Park, Kyu, Patel, Jaymin , Patel, Kanishka G. , Peppercorn, Jeffrey , Polimera, Hyma , Puc, Matthew , Reid, Sonya , Riess, Jonathan W. , Rivera, Donna R. , Russ, Atlantis Dawn, Schapira, Lidia , Shanahan, M Kelly, Smits, Melissa, Streckfuss, Mitrianna, Thompson, Michael A, Tolaney, Sara M. , Weissmann, Lisa B., Wilson, Grace, Wulff‐Burchfield, Elizabeth , French, Benjamin , Accordino, Melissa , Nagaraj, Gayathri , Khaki, Ali Raza , Aboulafia, David M. , Acoba, Jared David , Awosika, Joy A. , Bakouny, Ziad , Bao, Ting , Bashir, Babar , Berg, Stephanie , Castellano, Cecilia A. , Desai, Aakash , Friese, Christopher R. , Hershman, Dawn L. , Hwang, Clara , Jani, Chinmay , Jhawar, Sachin R, Joshi, Monika , Knox, Natalie, Labaki, Chris , Li, Xuanyi , Lyman, Gary H , Markham, Merry Jennifer , Nguyen, Ryan H, O’Connor, Tracey L. , Panagiotou, Orestis A. , Rao, Yuan James , Razavi, Pedram , Robson, Mark E. , Rose, Suzanne J. , Shah, Pankil , Shapiro, Lauren C. , Stover, Daniel G. , Tachiki, Lisa , Thompson, Michael A, Wotman, Michael T. , Mishra, Sanjay , Warner, Jeremy L. , Lustberg, Maryam B. , Shah, Dimpy P.

No container title available | November 10, 2023 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.7554/elife.82618.sa2 Get It

Clinical characteristics, racial inequities, and outcomes in patients with breast cancer and COVID-19: A COVID-19 and cancer consortium (CCC19) cohort study
Nagaraj, Gayathri , Vinayak, Shaveta , Sun, Tianyi , Kuderer, Nicole M. , Bakouny, Ziad , Balmaceda, Nicole , Bilen, Mehmet Asım , Bindal, Poorva , Blau, Sibel , Bodin, Brianne E, Borno, Hala T. , Castellano, Cecilia A. , Choi, Horyun, Deeken, John F. , Desai, Aakash , Edwin, Natasha, Feldman, Lawrence , Flora, Daniel , Galsky, Matthew D. , Gonzalez, Cyndi J, Grivas, Petros , Gupta, Shilpa , Haynam, Marcy , Heilman, Hannah, Jani, Chinmay , Jhawar, Sachin R, Kaklamani, Virginia , Klein, Elizabeth J. , Koshkin, Vadim S. , Kulkarni, Amit , Kwon, Daniel H. , Lammers, Philip E. , Lathrop, Kate, Lewis, Mark A. , Li, Xuanyi , Lopes, Gilbert de Lima, Makower, Della , Mansoor, Abdul-Hai, Mashru, Sandeep H., McKay, Rana R. , Messing, Ian , Mico, Vasil, Nadkarni, Rajani, Namburi, Swathi, Nguyen, Ryan H, Nonato, Taylor K., O’Connor, Tracey L. , Park, Kyu, Patel, Jaymin , Patel, Kanishka G. , Peppercorn, Jeffrey , Polimera, Hyma , Puc, Matthew , Rao, Yuan James , Reid, Sonya , Riess, Jonathan W. , Rivera, Donna R. , Rose, Suzanne J. , Russ, Atlantis Dawn, Schapira, Lidia , Shah, Pankil , Shanahan, M Kelly, Smits, Melissa, Streckfuss, Mitrianna, Thompson, Michael A, Tolaney, Sara M. , Weissmann, Lisa B., Wilson, Grace, Wulff‐Burchfield, Elizabeth , French, Benjamin , Lustberg, Maryam B. , Accordino, Melissa , Sun, Tianyi , Hwang, Clara , Puc, Matthew M , Mishra, Sanjay , Accordino, Melissa K , Desai, Aakash P , Bakouny, Ziad , Bilen, Mehmet A , Lustberg, Maryam , Khaki, Ali Raza , Aboulafia, David M. , Acoba, Jared David , Awosika, Joy A. , Bao, Ting , Bashir, Babar , Berg, Stephanie , Friese, Christopher R. , Hershman, Dawn L. , Hwang, Clara , Jhawar, Sachin R, Joshi, Monika , Knox, Natalie, Labaki, Chris , Lyman, Gary H , Markham, Merry Jennifer , Nguyen, Ryan H, Panagiotou, Orestis A. , Razavi, Pedram , Robson, Mark E. , Shapiro, Lauren C. , Stover, Daniel G. , Tachiki, Lisa , Wotman, Michael T. , Mishra, Sanjay , Warner, Jeremy L. , Shah, Dimpy P.

eLife | October 17, 2023 | Volume: 12 | Issue: No issue available | Pages: No page available

10.7554/elife.82618 | PMID 37846664 Get It

Background: Limited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations. Methods: This is a COVID-19 and Cancer Consortium (CCC19) registry-based retrospective cohort study of females with active or history of BC and laboratory-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection diagnosed between March 2020 and June 2021 in the US. Primary outcome was COVID-19 severity measured on a five-level ordinal scale, including none of the following complications, hospitalization, intensive care unit admission, mechanical ventilation, and all-cause mortality. Multivariable ordinal logistic regression model identified characteristics associated with COVID-19 severity. Results: 1383 female patient records with BC and COVID-19 were included in the analysis, the median age was 61 years, and median follow-up was 90 days. Multivariable analysis revealed higher odds of COVID-19 severity for older age (aOR per decade, 1.48 [95% CI, 1.32–1.67]); Black patients (aOR 1.74; 95 CI 1.24–2.45), Asian Americans and Pacific Islander patients (aOR 3.40; 95 CI 1.70–6.79) and Other (aOR 2.97; 95 CI 1.71–5.17) racial/ethnic groups; worse ECOG performance status (ECOG PS ≥2: aOR, 7.78 [95% CI, 4.83–12.5]); pre-existing cardiovascular (aOR, 2.26 [95% CI, 1.63–3.15])/pulmonary comorbidities (aOR, 1.65 [95% CI, 1.20–2.29]); diabetes mellitus (aOR, 2.25 [95% CI, 1.66–3.04]); and active and progressing cancer (aOR, 12.5 [95% CI, 6.89–22.6]). Hispanic ethnicity, timing, and type of anti-cancer therapy modalities were not significantly associated with worse COVID-19 outcomes. The total all-cause mortality and hospitalization rate for the entire cohort was 9% and 37%, respectively however, it varied according to the BC disease status. Conclusions: Using one of the largest registries on cancer and COVID-19, we identified patient and BC-related factors associated with worse COVID-19 outcomes. After adjusting for baseline characteristics, underrepresented racial/ethnic patients experienced worse outcomes compared to non-Hispanic White patients. Funding: This study was partly supported by National Cancer Institute grant number P30 CA068485 to Tianyi Sun, Sanjay Mishra, Benjamin French, Jeremy L Warner; P30-CA046592 to Christopher R Friese; P30 CA023100 for Rana R McKay; P30-CA054174 for Pankil K Shah and Dimpy P Shah; KL2 TR002646 for Pankil Shah and the American Cancer Society and Hope Foundation for Cancer Research (MRSG-16-152-01-CCE) and P30-CA054174 for Dimpy P Shah. REDCap is developed and supported by Vanderbilt Institute for Clinical and Translational Research grant support (UL1 TR000445 from NCATS/NIH). The funding sources had no role in the writing of the manuscript or the decision to submit it for publication. Clinical trial number: CCC19 registry is registered on ClinicalTrials.gov, NCT04354701 .
Multiancestry analysis of the HLA locus in Alzheimer’s and Parkinson’s diseases uncovers a shared adaptive immune response mediated by HLA-DRB1*04 subtypes
Guen, Yann Le , Luo, Guo , Damotte, Vincent , Jansen, Iris E. , Nicolas, Aude , Rojas, Itziar de, Bellenguez, Céline , Lian, Michelle Mulan , Parveen, Kayenat, Morizono, Takashi, Park, Hyeonseul, Grenier‐Boley, Benjamin , Naito, Tatsuhiko , Talyansky, Seth D., Yogeshwar, Selina , Sempere, Vicente Peris, Satake, Wataru , Álvarez, Victoria , Arosio, Beatrice , Boland, Anne , Daniele, Antonio , Darling, D.H., Dichgans, Martin , Dufouil, Carole , Düzel, Emrah , García‐Ribas, Guillermo, García‐Alberca, José María , García-González, Pablo, Giedraitis, Vilmantas , Graff, Caroline , Grünblatt, Edna , Hausner, Lucrezia , Jung, Yoo Jin , Deckert, Jürgen, Kern, Silke , Kuulasmaa, Teemu , Lee, Kun Ho , Lin, Ling , Masullo, Carlo , Mehrabian, Shima , Mendonça, Alexandre de , Boada, Merçé , Mir, Pablo , Moreno, Fermín , Nicolas, Gaël , Niida, Shumpei , Nordestgaard, Børge G. , Papenberg, Goran, Papma, Janne M., Pástor, Pau , Peters, Oliver , Popp, Julius , Molina‐Porcel, Laura , Puerta, Raquel , Pérez‐Tur, Jordi , Ramakers, Inez H.G.B. , Real, Luís Miguel , Riedel‐Heller, Steffi G. , Rodríguez‐Rodríguez, Eloy , Ross, Owen A. , Scarmeas, Nikolaos , Schneider, Anja , Solfrizzi, Vincenzo , Spalletta, Gianfranco , Tan, Eng‐King , Tegos, Thomas, Thomassen, Jesper Qvist , Tremolizzo, Lucio , Verhey, Frans, EADB, group, GR@ACE study, DemGene, EADI, GERAD, Blennow, Kaj , He, Zihuai , Jessen, Frank , Kehoe, Patrick G. , Duin, Cornelia van, Sánchez‐Juan, Pascual , Zettergren, Anna , Okada, Yukinori , Rossi, Giacomina, Gim, Jungsoo , Sims, Rebecca, Ramı́rez, Alfredo , Lambert, Jean‐Charles , Greicius, Michael D. , Mignot, Emmanuel , Moreno–Grau, Sonia , Rojas, Itziar de, Prokic, Ivana, Aarsland, Dag, García‐González, Pablo , Abdelnour, Carla , Armstrong, Nicola J. , Anthoula, Tsolaki, Archetti, Silvana, Pastor, Alfonso Arias, Athanasiu, Lavinia, Bailly, Henri, Banaj, Nerisa , Baquero, Miquel , Pastor, Ana Belén , Besse, Céline , Bizarro, Alessandra, Blesa, Rafael , Bossù, Paola , Brusco, Luis Ignacio , Buiza‐Rueda, Dolores, Bürger, Katharina , Burholt, Vanessa, Cecchetti, Roberta, Chillotti, Caterina , Ciccone, Simona, Claassen, Jurgen A.H.R., Clark, Christopher , Costantini, Emanuele Maria , Daian, Delphine , Dartigues, Jean‐François, Escott-Price, Valentina, Ewers, Michael , Fernández‐Fuertes, Marta , Ferreira, Catarina B. , Fin, Bertrand, Fließbach, Klaus , Franco-Macías, Emlio, García-González, Pablo, García‐Madrona, Sebastián, Giegling, Ina, Giorgio, Giaccone, González-Pérez, Antonio, Grande, Giulia , Green, Emma , Grimmer, Timo, Hardy, John, Hartmann, Annette M. , Harwood, Janet , Helisalmi, Seppo , Hernández, Isabel, Hoffmann, Per, Vilas, Raquel Huerto, Hulsman, Marc , Johansson, Charlotte , Kilander, Lena, Ståhlbom, Anne Kinhult, Koivisto, Anne M. , Lage, Carmen , Lerch, Ondřej , Munain, Adolfo Lopez de, Löwemark, Malin, Luckcuck, Lauren, Maier, Wolfgang, Marco, Spallazzi, Montes, Ángel Martín, Rodríguez, Carmen Martínez, Meggy, Alun, Mendoza, Silvia, Moebus, Susanne, Morelli, Laura , Möthen, Markus M., Muchnik, Carolina , Orsini, Michela, Péricard, Pierre , Piñol-Ripoll, Gerard, Polak, Thomas, Quenez, Olivier , Rábano, Alberto , Ramakers, Inez, Riederer, Peter, Rongve, Arvid, Allende, Irene Rosas, Rujescu, Dan, Sakka, Paraskevi , Sánchez‐Arjona, María Bernal, Sando, Sigrid Botne , Scamosci, Michela, Scherbaum, Norbert, Scherer, Martin, Schott, Jonathan M., Shadrin, Alexey A, Skrobot, Olivia Anna, Solfrizzi, Vincenzo, Spottke, Annika , Stordal, Eystein , Tartan, Juan Pablo, Traykov, Latchezar , Tybjærg‐Hansen, Anne, Ullgren, Abbe, Ulstein, Ingun, Dongen, Jasper Van , Wallon, David, Windle, Gill, Woods, Bob , Zulaica, Miren , Laczó, Jan , Maťoška, Václav , Piras, Federica, Ciullo, Valentina , Shofany, Jacob, Andreoni, Simona, Zompo, Maria Del, Bastiani, Patrizia, Natunen, Teemu , Antikaínen, Riitta , Abraham, Richard, Al-Chalabi, Ammar, Brayne, Carol, Brown, Kristelle S., Collinge, John, Craig, David W. , Deloukas, Pangiotis, Gerrish, Amy, Gwilliam, Rhian, Hardy, John , Hollingworth, Paul, Johnston, Jarret A., Jones, Lesley , Lawlor, Brian, Lynch, Aoibhinn, McQuillin, Andrew, Owen, Michael J., Passmore, Peter , Proitsi, Petra, Rossor, Martin, Gurling, Hugh, Todd, Stephen, Mummery, Catherine J. , Ryan, Nathalie, Lacidogna, Giordano , Adarmes-Gómez, Ad, Mauleón, Ana , Pancho, Ana, Gailhajenet, A., Lafuente, Asunción, Martín, Elvira, Pelejà, Esther, Carrillo, F, Merlín, Isabel Sastre, Garrote-Espina, L. , Carrión‐Claro, Mario, Marín, María Esmeralda Arreola , Labrador, Ma, Buendía, Mar, Guitart, Marina, Moreno, Mariona, Ibarria, Marta, Periñán, Mt, Aguilera, Núria , Gómez-Garre, P, Escuela, R, Pineda-Sanchez, R., Vigo-Ortega, R, Preckler, Sílvia , Rodrigo‐Herrero, Silvia , Diego, Susana, Salvadori, Nicola, Chipi, Elena , Laske, Christoph , Janowitz, Daniel , Anastasiou, Anna, Parveen, Kayenat, López‐García, Sara , Antonell, Anna , Belezhanska, Diyana , Solís, Patricia , Medel, Nancy , Lisso, Julieta, Sevillano, Zulma, Politis, Daniel Gustavo , Cores, Valeria, Cuesta, Carolina , Ortíz, Cecilia, Bacha, Juan Ignacio, Rios, Mario, Saenz, Aldo, Abalos, Mariana Sanchez, Köhler, Eduardo, Palacio, Dana Lis, Etchepareborda, Ignacio, Prestia, Federico Ariel, Galeano, Pablo , Castaño, Eduardo M., Germani, Sandra, Toso, Carlos Reyes, Rojo, Matias, Ingino, Carlos A. , Mangone, Carlos A., Engelborghs, Sebastiaan , Nielsen, Sune Fallgaard, Farotti, Lucia , Biessels, Geert Jan , Fiévet, Nathalie, Forsell, Charlotte , Thonberg, Håkan, Bjerke, Maria , Roeck, Ellen De , Olivar, Natividad , Sachdev, Perminder S. , Magda, Tsolaki, Rossi, Giacomina, Andreassen, Ole A., Sims, Rebecca , Aguilera, N., Alarcón, Estefanía Burgos, Buendia, Marie‐Annick , Rojas, Itziar de , Diego, S. , Guitart, M., González-Péerez, A, Lafuente, A., Martin, Elisabeth , Martinez, M.T.M., Marquié, M, Olivé, C. , Pelejà, E., Puerta, R, Sáez, ME, Táarraga, L, Valero, S, Alonso, MD, Amer-Ferrer, G., Antequera, M., Antúnez, Carmen , Bernal, M. , Bullido, MJ, Ja, Burguera, Carrillo, F, Casajeros, MJ, Cruz-Gamero, JM, Escuela, R, Franco, Emilio, García-Alberca, JM, Madrona, S. García, Gómez-Garre, P, Hevilla, S., Espinosa, MA Labrador, Legaz, A. , Lleóo, A, Munáin, A Lóopez de, Marín-Muñoz, Juan, Marín, T, Marquié, M, Martínez, B. , Álvarez, A Martínez-Lage, Iriarte, M Mendioroz, Tur, J Péerez, Ripoll, G. Piñol, Ráabano, A, Asúa, Diego Real de , Rodrigo, S., Royo, JL, Díaz, R. Sanchez del Valle, Sánchez‐Juan, Pascual, Sastre, Isabel , Valero, S, Vicente, MP, Vigo-Ortega, R, Shadrin, Alexey A, Rongve, Arvid, Bosnes, Ingunn , Athanasiu, Lavinia, Aarsland, Dag, Andreassen, Ole A., Epelbaum, Jacques, Wallon, David, Hannequin, Didier , Campion, Dominique , Dermecourt, Vincent, Dubois, Bruno , Amouyel, Phillippe, Sims, Rebecca, Gerrish, Amy, Thomas, Charlene , Meggy, Alun, Davies, Chloe, Dowzell, Kimberley, Bernardo-Harrington, Mateus, Hoffmann, Per, Brown, Kristelle, Schott, Jonathan M., Rossor, Martin, Ryan, Natalie S. , Uphill, James, Al-Chalabi, Ammar, Bass, Nick, Abraham, Richard, Kölsch, Heike, Schürmann, Britta, Lacour, ndré, Herold, Christine, Johnston, Janet, Todd, Stephen, Proitsi, Petra, Patel, Yogen, Warden, Donald, Wilcock, Gordon , Clarke, Robert , Lawlor, Brian, McQuillin, Andrew, Hardy, John, Brayne, Carol, Deloukas, Panagiotis, Sussams, Rebecca, Warner, Nick, Bayer, Anthony, Singleton, Andrew, Rujescu, Dan, Giegling, Ina, Klopp, Norman, Mayhaus, Manuel, Riemenschneider, Matthias, Pinchler, Sabrina, Feulner, Thomas, Bussche, Hendrik den, Scherer, Martin, Hüll, Michael, Frölich, Lutz, Wichmann, H‐Erich, Jöckel, Karl‐Heinz , Moebus, Susanne, Kauwe, John, Mayo, Kevin H. , Escott-Price, Valentina, Peng, Rong , Tan, Louis, Tandiono, Moses , Ng, Ebonne, Prakash, Kumar‐M., Au, Wing‐Lok , Meah, Wee-Yang, Mok, Shi Qi, Chan, Anne , Chen, Ling , Jeon, Beom S., Lin, Juei‐Jueng , Pei, Zhong , Shi, Changhe , Song, Kyuyoung, Wu, Yih‐Ru , Xu, Yuming , Yan, Yaping , Yang, Jing , Zhang, Bao Rong, Le Guen, Yann , Damotte, Vincent , During, Emmanuel , Hort, Jakub , Lin, Ling , Niida, Shumpei , Pasquier, Florence , Real, Luis M , Rujescu, Dan , Spalletta, Gianfranco , Zetterberg, Henrik , Andreassen, Ole A , Tsolaki, Magda , Foo, Jia Nee , Mignot, Emmanuel , Dichgans, Martin , Ramirez, Alfredo , Ross, Owen A , Sachdev, Perminder S , Hardy, John , Nicolas, Gaël , Alvarez, Victoria , Mir, Pablo , Pastor, Pau , Boada, Merce , García-González, Pablo , Molina-Porcel, Laura , de Mendonça, Alexandre , Graff, Caroline , Ambati, Aditya , Yu, Eric , Rojas, Itziar de, Leal, Thiago Peixoto , Miyashita, Akinori , Küçükali, Fahri , Belloy, Michaël E. , Benussi, Luisa , Borroni, Barbara , Bullido, María J. , Caffarra, Paolo , Clarimón, Jordi , Darling, Daniel, Debette, Stéphanie , Deleuze, Jean‐François , Galimberti, Daniela , García-González, Pablo, Goldhardt, Oliver , Hanon, Olivier , Heilmann‐Heimbach, Stefanie , Holstege, Henne H. , Hort, Jakub , Mecocci, Patrizia , Moebus, Susanne , Nacmias, Benedetta , Parnetti, Lucilla , Pasquier, Florence , Pijnenburg, Yolande A.L. , Piñol‐Ripoll, Gerard , Rainero, Innocenzo , Royo, José Luís , Scheltens, Philip , Scherbaum, Norbert , Seripa, Davide , Skoog, Ingmar , Squassina, Alessio , Swieten, John C. van , Sánchez‐Valle, Raquel , Teunissen, Charlotte E. , Vyhnálek, Martin , Wærn, Margda , Wiltfang, Jens , Zhang, Jing , EADB, group, GR@ACE study, DemGene, EADI, GERAD, Zetterberg, Henrik , Williams, Julie , Amouyel, Philippe , Tsolaki, Magda , Frikke-Schmidt, Ruth , Sleegers, Kristel , Toda, Tatsushi , Ingelsson, Martin , Rossi, Giacomina, Hiltunen, Mikko O. , Ozaki, Kouichi , Sims, Rebecca, Foo, Jia Nee , Flier, Wiesje M. van der , Ikeuchi, Takeshi , Mata, Ignácio F. , Ruiz, Agustı́n , Gan‐Or, Ziv , Andrade, Víctor , Amin, Najaf , Campos-Martín, Rafael , Holmans, Peter , Kleineidam, Luca , Lee, Sven J. van der , Rojas, Itziar de, Yaqub, Amber , Prokic, Ivana, Costa, Marcos R. , Chapuis, Julien , Ahmad, Shahzad , Aarsland, Dag, Alarcón‐Martín, Emilio , Alcolea, Daniel , Alegret, Montserrat , Álvarez, Ignacio , Appollonio, Ildebrando Marco , Arcaro, Marina , Athanasiu, Lavinia, Berr, Claudine , Bessi, Valentina , Binetti, Giuliano , Boschi, Silvia , Bråthen, Geir , Bresner, Catherine , Brodaty, Henry , Brookes, Keeley J. , Burholt, Vanessa, Calero, Miguel , Chêne, Geneviève , Carracedo, Ángel , Cervera‐Carles, Laura , Charbonnier, Camille , Claassen, Jurgen A.H.R. , Conti, Elisa , Corma‐Gómez, Anaïs , Custodero, Carlo , Dalmasso, Carolina , Dardiotis, Efthimios , Deyn, Peter Paul De , Ser, Teodoro del , Denning, Nicola , Diehl‐Schmid, Janine , Díez-Fairén, Mónica , Rossi, Paolo Dionigi , Djurovic, Srdjan , Duron, Emmanuelle , Escott-Price, Valentina, Espinosa, Ana , Ferri, Evelyn , Fischer, Peter A. , Fladby, Tormod , Fortea, Juan , Fostinelli, Silvia , Fox, Nick C. , Frank, Ana , Froelich, Lutz , García-González, Pablo, Ghidoni, Roberta , Giegling, Ina, Grimmer, Timo , Guetta‐Baranes, Tamar , Haapasalo, Annakaisa , Hadjigeorgiou, Georgios M. , Hampel, Harald , Hardy, John, Heneka, Michael T. , Hernández, Isabel, Herrmann, Martin J. , Hoffmann, Per, Holmes, Clive , Kivipelto, Miia , Kornhuber, Johannes , Kosmidis, Mary H. , Laukka, Erika J. , Lauria, Alessandra , Lehtisalo, Jenni , Lleó, Alberto , Munain, Adolfo Lopez de, Macías, Juan, MacLeod, Catherine Anne , Mangialasche, Francesca , Marquié, Marta , Marshall, Iain James , Mead, Simon , Medina, Miguel , Meggy, Alun, Menéndez‐González, Manuel , Moebus, Susanne, Mol, Merel O. , Montrreal, Laura , Morgan, Kevin , Ngandu, Tiia , Olaso, Robert , Orellana, Adelina , Ortega, Gemma , Padovani, Alessandro , Pérez‐Cordón, Alba , Pineda, Juan Antonio , Piñol-Ripoll, Gerard, Pisanu, Claudia , Posthuma, Daniëlle , Priller, Josef , Quintela, Inés , Reinders, Marcel J. T. , Roberto, Natalia , Rongve, Arvid, Rosende‐Roca, Maitée , Rubino, Elisa , Rujescu, Dan, Sáez, María Eugenia , Saltvedt, Ingvild Tina , Sanabria, Ángela , Sánchez-García, Florentino , Scarpini, Elio , Scherbaum, Norbert, Scherer, Martin, Schmid, Matthias C. , Schott, Jonathan M., Selbæk, Geir , Shadrin, Alexey A, Soininen, Hilkka S. , Solfrizzi, Vincenzo, Solomon, Alina , Sorbi, Sandro , Sotolongo‐Grau, Óscar , Tárraga, Lluís , Tesi, Niccoló , Thalamuthu, Anbupalam , Uitterlinden, André G. , Valero, Sergi , Lugt, Aad van der , Rooij, Jeroen van , Vandenberghe, Rik , Vidal, Jean‐Sébastien , Vogelgsang, Jonathan S. , Wagner, Michael , Wallon, David , Weinhold, Leonie , Yannakoulia, Mary , Serpente, María , Assogna, Francesca , Piras, Fabrizio , Piras, Federica, Ferrarese, Carlo , Sala, Gessica , Zoia, C , Benussi, Alberto , Takalo, Mari , Laatikainen, Tiina K. , Tuomi, Tiinamaija , Strandberg, Timo E. , Lindström, Jaana , Peltonen, Markku , Abraham, Richard, Al-Chalabi, Ammar, Bass, Nicholas , Brayne, Carol, Gerrish, Amy, Gill, Michael , Harold, Denise , Lawlor, Brian, Livingston, Gill , Lovestone, Simon , Lupton, Michelle K. , Mann, David , McGuinness, Bernadette , McQuillin, Andrew, O‘Donovan, Michael , Powell, John , Proitsi, Petra, Rossor, Martin, Shaw, Christopher E. , Smith, A. David , Todd, Stephen, Macías‐García, Daniel , Carrillo, F, Vargas, Liliana , Marín, M, Alonso, María Dolores, Gómez-Garre, P, Cañabate, Pilar , Escuela, R, Vigo-Ortega, R, Jesús, Silvia , Vacca, Alessandro , Roveta, Fausto , Boecker, Henning , Perneczky, Robert , Anastasiou, Costas Anastasios , Malik, Rainer , Parveen, Kayenat, Mihova, Kalina Yonkova , Weber, Heike , Kochen, Silvia , Saenz, Aldo, Kohler, Matias, Novack, Gisela Vanina , Tagliavini, Fabrizio , Nielsen, Sune Fallgaard, Fenoglio, Chiara , Biessels, Geert Jan , Love, Seth , Broeckhoven, Christine Van , Rubinsztein, David Chaim , Teipel, Stefan Johannes , Deramecourt, Vincent , Martínez-Larrad, María Teresa, Ghanbari, Mohsen , Mather, Karen A. , Ikram, M. Arfan , Rossi, Giacomina, Andreassen, Ole A., Duijn, Cornelia M. van , Alarcon, E, Buendia, M, Cano, Amanda C. , Anchuelo, Arturo Corbatón , Macı́as, Juan , Maroñas, Olalla , Martín, E, Martínez, MT, Marquié, M, Moreno, M. , Núñez‐Llaves, Raúl , Olivé, C, Puerta, R, Serrano‐Ríos, Manuel , Valero, S, Bernal, M, Carrillo, F, Pancorbo, Marian M. de , Escuela, R, Gómez-Garre, P, Munaín, Adolfo López de , Manzanares, Salvadora , Marín, M, Marquié, M, Martínez, B, Martínez, C, Martínez, V, Álvarez, A Martínez-Lage, Iriarte, M Mendioroz, Tur, J. Pérez, Periñán, María Teresa , Rodrigo, S, Valero, S, Vigo-Ortega, R, Vivancos, L. , Shadrin, Alexey A, Bahrami, Shahram , Rongve, Arvid, Athanasiu, Lavinia, Selnes, Per , Bergh, Sverre , Aarsland, Dag, Andreassen, Ole A., Tzourio, Christophe , Brice, Alexis , Ritchie, Karen , Sims, Rebecca, Gerrish, Amy, Williams, Amy, Meggy, Alun, Nash, William, Castillo-Morales, Atahualpa , Hoffmann, Per, Turton, James , Lord, Jenny , Vardy, Emma , Fisher, Elizabeth , Warren, Jason D. , Schott, Jonathan M., Rossor, Martin, Guerreiro, Rita , Al-Chalabi, Ammar, Bass, Nick, Abraham, Richard, Heun, Reinhard , Todd, Stephen, Proitsi, Petra, Hodges, Angela , Becker, Tim , Lawlor, Brian, McQuillin, Andrew, Hardy, John, Brayne, Carol, Deloukas, Panagiotis, Ben‐Shlomo, Yoav , Hooper, Nigel M. , Pickering‐Brown, Stuart , Warner, Nick, Bayer, Anthony, Singleton, Andrew , Rujescu, Dan, Giegling, Ina, Heuser, Isabella , Drichel, Dmitriy , Nöthen, Markus M. , Riemenschneider, Matthias, Gu, Wei , Scherer, Martin, Moebus, Susanne, Morris, John C. , Owen, Michael J. , Escott-Price, Valentina, Chew, Elaine Guo Yan , Chung, Sun Ju , Chao, Yinxia , Ahmad‐Annuar, Azlina , Chen, Yongping , Jiang, Lulu , Lim, Jia Lun , Liu, Chun‐Feng , Mao, Chengjie , Mok, Vincent , Pei, Zhong , Shang, Huifang , Tan, Ai Huey , Xu, Renshi , Zhang, Bao Rong, Koh, Woon‐Puay , Lim, Shen‐Yang , Khor, Chiea Chuen , Liu, Jianjun

Proceedings of the National Academy of Sciences | August 29, 2023 | Volume: 120 | Issue: 36 | Pages: No page available

10.1073/pnas.2302720120 | PMID 37643212 Get It

Across multiancestry groups, we analyzed Human Leukocyte Antigen (HLA) associations in over 176,000 individuals with Parkinson’s disease (PD) and Alzheimer’s disease (AD) versus controls. We demonstrate that the two diseases share the same protective association at the HLA locus. HLA-specific fine-mapping showed that hierarchical protective effects of HLA-DRB1 *04 subtypes best accounted for the association, strongest with HLA-DRB1 *04:04 and HLA-DRB1 *04:07, and intermediary with HLA-DRB1 *04:01 and HLA-DRB1 *04:03. The same signal was associated with decreased neurofibrillary tangles in postmortem brains and was associated with reduced tau levels in cerebrospinal fluid and to a lower extent with increased Aβ42. Protective HLA-DRB1 *04 subtypes strongly bound the aggregation-prone tau PHF6 sequence, however only when acetylated at a lysine (K311), a common posttranslational modification central to tau aggregation. An HLA-DRB1 *04-mediated adaptive immune response decreases PD and AD risks, potentially by acting against tau, offering the possibility of therapeutic avenues.