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Iacobucci, Ilaria

https://orcid.org/0000-0003-2008-1365

Mayo Clinic

St. Jude Children's Research Hospital

Citations 6

Genomic Determinants of Outcome in Acute Lymphoblastic Leukemia
Chang, Ti‐Cheng , Chen, Wenan , Cheng, Zhongshan , Hedges, Dale J., Elsayed, Abdelrahman , Pounds, Stanley , Shago, Mary , Rabin, Karen R. , Raetz, Elizabeth A. , Cheng, Cheng , Angiolillo, Anne , Baviskar, Pradyuamna , Borowitz, Michael J., Carroll, Andrew J. , Carroll, William L. , Heerema, Nyla A. , Larsen, Eric , Mattano, Leonard A. , Maloney, Kelly W. , Ramirez, Nilsa C. , Salzer, Wanda L. , Wu, Gang , Loh, Mignon L. , Wu, Gang , Rabin, Karen R , Raetz, Elizabeth A , Devidas, Meenakshi , Baviskar, Pradyuamna , Burke, Michael J , Carroll, Andrew J , Harvey, Richard , Iacobucci, Ilaria , Wang, Jeremy R , Jeha, Sima , Mattano, Leonard A , Maloney, Kelly W , Pui, Ching-Hon , Ramirez, Nilsa C , Willman, Cheryl , Wood, Brent L , Hunger, Stephen P , Mullighan, Charles G , Loh, Mignon L , Pounds, Stanley B , Wu, Gang , Qu, Chunxu , Devidas, Meenakshi , Chen, I‐Ming , Harvey, Richard C. , Iacobucci, Ilaria , Wang, Jeremy , Willman, Cheryl L. , Winick, Naomi Joan , Wood, Brent L. , Hunger, Stephen P. , Mullighan, Charles G.

Journal of Clinical Oncology | August 9, 2024 | Volume: 42 | Issue: 29 | Pages: 3491-3503

10.1200/jco.23.02238 Get It

PURPOSE Although cure rates for childhood acute lymphoblastic leukemia (ALL) exceed 90%, ALL remains a leading cause of cancer death in children. Half of relapses arise in children initially classified with standard-risk (SR) disease. MATERIALS AND METHODS To identify genomic determinants of relapse in children with SR ALL, we performed genome and transcriptome sequencing of diagnostic and remission samples of children with SR (n = 1,381) or high-risk B-ALL with favorable cytogenetic features (n = 115) enrolled on Children's Oncology Group trials. We used a case-control study design analyzing 439 patients who relapsed and 1,057 who remained in complete remission for at least 5 years. RESULTS Genomic subtype was associated with relapse, which occurred in approximately 50% of cases of PAX5 -altered ALL (odds ratio [OR], 3.31 [95% CI, 2.17 to 5.03]; P = 3.18 × 10 –8 ). Within high-hyperdiploid ALL, gain of chromosome 10 with disomy of chromosome 7 was associated with favorable outcome (OR, 0.27 [95% CI, 0.17 to 0.42]; P = 8.02 × 10 –10 ; St Jude Children's Research Hospital validation cohort: OR, 0.22 [95% CI, 0.05 to 0.80]; P = .009), and disomy of chromosomes 10 and 17 with gain of chromosome 6 was associated with relapse (OR, 7.16 [95% CI, 2.63 to 21.51]; P = 2.19 × 10 –5 ; validation cohort: OR, 21.32 [95% CI, 3.62 to 119.30]; P = .0004). Genomic alterations were associated with relapse in a subtype-dependent manner, including alterations of INO80 in ETV6::RUNX1 ALL, IKZF1 , and CREBBP in high-hyperdiploid ALL and FHIT in BCR::ABL1 -like ALL. Genomic alterations were also associated with the presence of minimal residual disease, including NRAS and CREBBP in high-hyperdiploid ALL. CONCLUSION Genetic subtype, patterns of aneuploidy, and secondary genomic alterations determine risk of relapse in childhood ALL. Comprehensive genomic analysis is required for optimal risk stratification.
Genomic profiling for clinical decision making in myeloid neoplasms and acute leukemia
Duncavage, Eric J., Bagg, Adam , Hasserjian, Robert P. , DiNardo, Courtney D. , Iacobucci, Ilaria , Jaiswal, Siddhartha , Vannucchi, Alessandro M. , Patel, Keyur P. , Arcila, Maria E. , Borowitz, Michael J., Cargo, Catherine , Garcia‐Manero, Guillermo , Haferlach, Torsten , Hellström‐Lindberg, Eva , Klco, Jeffery M. , Loh, Mignon Lee-Cheun, Papaemmanuil, Elli , Reiter, Andreas , Skoda, Radek C. , Solé, Françesc , Stone, Richard M. , Tefferi, Ayalew , Wu, David , Ebert, Benjamin L. , Cazzola, Mario , Godley, Lucy A , Iacobucci, Ilaria , Jaiswal, Siddhartha , Malcovati, Luca , Vannucchi, Alessandro M , Patel, Keyur P , Arber, Daniel A , Bejar, Rafael , Branford, Susan , Brown, Anna L , Döhner, Hartmut , Falini, Brunangelo , Kim, Annette S , Komrokji, Rami S , Loghavi, Sanam , Mullighan, Charles G , Ogawa, Seishi , Ross, David M , Savona, Michael R , Shimamura, Akiko , Solé, Francesc , Walter, Matthew J , Wu, David , Ebert, Benjamin L , Cazzola, Mario , DiNardo, Courtney , Godley, Lucy A. , Malcovati, Luca , Arber, Daniel A. , Berliner, Nancy , Branford, Susan , Brown, Anna , Falini, Brunangelo , Komrokji, Rami S. , Loh, Mignon L. , Loghavi, Sanam , Mullighan, Charles G. , Orazi, Attilio , Savona, Michael R.

Blood | September 21, 2022 | Volume: 140 | Issue: 21 | Pages: 2228-2247

10.1182/blood.2022015853 Get It

Abstract Myeloid neoplasms and acute leukemias derive from the clonal expansion of hematopoietic cells driven by somatic gene mutations. Although assessment of morphology plays a crucial role in the diagnostic evaluation of patients with these malignancies, genomic characterization has become increasingly important for accurate diagnosis, risk assessment, and therapeutic decision making. Conventional cytogenetics, a comprehensive and unbiased method for assessing chromosomal abnormalities, has been the mainstay of genomic testing over the past several decades and remains relevant today. However, more recent advances in sequencing technology have increased our ability to detect somatic mutations through the use of targeted gene panels, whole-exome sequencing, whole-genome sequencing, and whole-transcriptome sequencing or RNA sequencing. In patients with myeloid neoplasms, whole-genome sequencing represents a potential replacement for both conventional cytogenetic and sequencing approaches, providing rapid and accurate comprehensive genomic profiling. DNA sequencing methods are used not only for detecting somatically acquired gene mutations but also for identifying germline gene mutations associated with inherited predisposition to hematologic neoplasms. The 2022 International Consensus Classification of myeloid neoplasms and acute leukemias makes extensive use of genomic data. The aim of this report is to help physicians and laboratorians implement genomic testing for diagnosis, risk stratification, and clinical decision making and illustrates the potential of genomic profiling for enabling personalized medicine in patients with hematologic neoplasms.
Enhancer retargeting of CDX2 and UBTF::ATXN7L3 define a subtype of high-risk B-progenitor acute lymphoblastic leukemia
Kimura, Shunsuke , Montefiori, Lindsey E. , Zhao, Yaqi , Gao, Qingsong , Paietta, Elisabeth , Mead, Paul E., Gu, Zhaohui , Litzow, Mark R. , Rowe, Jacob M. , Luger, Selina M. , Schmidt, Breon , Ekert, Paul G. , Oshlack, Alicia , Grimmond, Sean M. , Rehn, Jacqueline , Breen, James , Meggendorfer, Manja , Walter, Wencke , Kern, Wolfgang , Haferlach, Torsten , Brady, Samuel W. , Zhang, Jinghui , Blombery, Piers , Montefiori, Lindsey , Zhao, Yaqi , Gao, Qingsong , Gu, Zhaohui , Litzow, Mark R. , Hunger, Stephen P , Ryland, Georgina L , Oshlack, Alicia , Grimmond, Sean M , Rehn, Jacqueline , Yeung, David , White, Deborah L , Pui, Ching-Hon , Walter, Wencke , Roberts, Kathryn G , Mullighan, Charles G , Kimura, Shunsuke , Kern, Wolfgang , Iacobucci, Ilaria , Haferlach, Claudia , Laird, Alexander , Stock, Wendy , Hunger, Stephen P. , Aldoss, Ibrahim , Jabbour, Elias , Roberts, Kathryn G. , Mullighan, Charles G.

Blood | February 22, 2022 | Volume: 139 | Issue: 24 | Pages: 3519-3531

10.1182/blood.2022015444 Get It

Abstract Transcriptome sequencing has identified multiple subtypes of B-progenitor acute lymphoblastic leukemia (B-ALL) of prognostic significance, but a minority of cases lack a known genetic driver. Here, we used integrated whole-genome (WGS) and -transcriptome sequencing (RNA-seq), enhancer mapping, and chromatin topology analysis to identify previously unrecognized genomic drivers in B-ALL. Newly diagnosed (n = 3221) and relapsed (n = 177) B-ALL cases with tumor RNA-seq were studied. WGS was performed to detect mutations, structural variants, and copy number alterations. Integrated analysis of histone 3 lysine 27 acetylation and chromatin looping was performed using HiChIP. We identified a subset of 17 newly diagnosed and 5 relapsed B-ALL cases with a distinct gene expression profile and 2 universal and unique genomic alterations resulting from aberrant recombination-activating gene activation: a focal deletion downstream of PAN3 at 13q12.2 resulting in CDX2 deregulation by the PAN3 enhancer and a focal deletion of exons 18-21 of UBTF at 17q21.31 resulting in a chimeric fusion, UBTF::ATXN7L3. A subset of cases also had rearrangement and increased expression of the PAX5 gene, which is otherwise uncommon in B-ALL. Patients were more commonly female and young adult with median age 35 (range,12-70 years). The immunophenotype was characterized by CD10 negativity and immunoglobulin M positivity. Among 16 patients with known clinical response, 9 (56.3%) had high-risk features including relapse (n = 4) or minimal residual disease >1% at the end of remission induction (n = 5). CDX2-deregulated, UBTF::ATXN7L3 rearranged (CDX2/UBTF) B-ALL is a high-risk subtype of leukemia in young adults for which novel therapeutic approaches are required.
Enhancer Hijacking Drives Oncogenic BCL11B Expression in Lineage-Ambiguous Stem Cell Leukemia
Bendig, Sonja , Gu, Zhaohui , Chen, Xiaolong , Ma, Xiaotu , Murison, Alex, Zeng, Andy G.X. , Dickerson, Kirsten , Mead, Paul E., Mehr, Cyrus M., Xu, Beisi , Cheng, Zhongshan , Chang, Ti‐Cheng , Westover, Tamara , Ma, Jing , Stengel, Anna , Kimura, Shunsuke , Valentine, Marcus B., Rashkovan, Marissa , Luger, Selina M. , Litzow, Mark R. , Rowe, Jacob M. , Wang, Victoria , Yin, Jun , Loh, Mignon L. , Crews, Kristine R. , Relling, Mary V. , Evans, William E. , Paietta, Elisabeth , Ferrando, Adolfo A. , Zhang, Jinghui , Kern, Wolfgang , Haferlach, Torsten , Dick, John E. , Klco, Jeffery M. , Gu, Zhaohui , Chen, Xiaolong , Ma, Xiaotu , Abdelhamed, Sherif , Xu, Beisi , Kimura, Shunsuke , Rashkovan, Marissa , den Boer, Monique L , Yin, Jun , Hunger, Stephen P , Pui, Ching-Hon , Yang, Wenjian , Crews, Kristine R , Roberts, Kathryn G , Stock, Wendy , Zhang, Jinghui , Dick, John E , Klco, Jeffery M , Mullighan, Charles G , Loh, Mignon L , Kern, Wolfgang , Montefiori, Lindsey E. , Pölönen, Petri , García‐Prat, Laura , Iacobucci, Ilaria , Hiltenbrand, Ryan , Qu, Chunxu , Kornblau, Steven M. , Hunger, Stephen P. , Yang, Wenjian , Roberts, Kathryn G. , Yang, Jun J.J. , Stock, Wendy , Wu, Gang , Haferlach, Claudia , Mullighan, Charles G.

Cancer Discovery | June 8, 2021 | Volume: 11 | Issue: 11 | Pages: 2846-2867

10.1158/2159-8290.cd-21-0145 Get It

Abstract Lineage-ambiguous leukemias are high-risk malignancies of poorly understood genetic basis. Here, we describe a distinct subgroup of acute leukemia with expression of myeloid, T lymphoid, and stem cell markers driven by aberrant allele-specific deregulation of BCL11B, a master transcription factor responsible for thymic T-lineage commitment and specification. Mechanistically, this deregulation was driven by chromosomal rearrangements that juxtapose BCL11B to superenhancers active in hematopoietic progenitors, or focal amplifications that generate a superenhancer from a noncoding element distal to BCL11B. Chromatin conformation analyses demonstrated long-range interactions of rearranged enhancers with the expressed BCL11B allele and association of BCL11B with activated hematopoietic progenitor cell cis-regulatory elements, suggesting BCL11B is aberrantly co-opted into a gene regulatory network that drives transformation by maintaining a progenitor state. These data support a role for ectopic BCL11B expression in primitive hematopoietic cells mediated by enhancer hijacking as an oncogenic driver of human lineage-ambiguous leukemia. Significance: Lineage-ambiguous leukemias pose significant diagnostic and therapeutic challenges due to a poorly understood molecular and cellular basis. We identify oncogenic deregulation of BCL11B driven by diverse structural alterations, including de novo superenhancer generation, as the driving feature of a subset of lineage-ambiguous leukemias that transcend current diagnostic boundaries. This article is highlighted in the In This Issue feature, p. 2659
Characterization of Novel Subtypes in B Progenitor Acute Lymphoblastic Leukemia
Gu, Zhaohui , Moore, Ian, Hagiwara, Kohei , Gingras, S., Berns, Hartmut , Payne-Turner, Debbie , Hill, Ashley, Pounds, Stanley , Pei, Deqing, Dai, Yunfeng , Reshmi, Shalini C. , Foster, Julie Gastier, Raetz, Elizabeth A. , Borowitz, Michael J., Carroll, William L. , McKay, Patrick Zweider, Mattano, Leonard A. , Maloney, Kelly W. , Rambaldi, Alessandro , Radich, Jerald P. , Minden, Mark D. , Rowe, Jacob M. , Luger, Selina M. , Litzow, Mark R. , Tallman, Martin S. , Recevskis, Janis, Zhang, Yanming , Kohlschmidt, Jessica, Bloomfield, Clara D. , Konopleva, Marina , Evans, William E. , Paietta, Elisabeth , Relling, Mary V. , Zhang, Jinghui , Rambaldi, Alessandro , Pounds, Stanley B , Churchman, Michelle L. , Roberts, Kathryn G. , Zhou, Xin , Nakitandwe, Joy , Pelletier, S. William , Iacobucci, Ilaria , Shi, Lei Gang , Cheng, Cheng , Qu, Chunxu , Devidas, Meenakshi , Wood, Brent L. , Rabin, Karen R. , Spinelli, Orietta , Bhatia, Ravi , Mrózek, Krzysztof , Stock, Wendy , Kornblau, Steven M. , Kantarjian, Hagop M. , Jeha, Sima , Pui, Ching-Hon , Yang, Jun J.J. , Downing, James R. , Loh, Mignon L. , Hunger, Stephen P. , Mullighan, Charles G.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 565-565

10.1182/blood-2018-99-111219 Get It

Abstract Introduction B progenitor acute lymphoblastic leukemia (B-ALL) is a leading cause of childhood cancer death. Many chimeric genes have been identified and led to a refined classification of B-ALL and tailored therapies. Still, up to 30% of B-ALL cannot be classified into established subtypes, and the outcome for many is poor. Methods To identify novel subtypes of B-ALL, we performed integrative genomic analysis including transcriptome sequencing (RNA-seq) of 1,988 cases from St. Jude, Children's Oncology Group and adult cooperative group studies and analyzed chromosomal rearrangements, gene-expression profiles (GEP), somatic mutations and chromosome-level copy-number alterations. Cases lacking known or putative subtype-defining alterations underwent whole genome sequencing. Effects on proliferation and transformation of novel lesions were assessed by retroviral expression in cell lines and point-mutation knock-in mice using CRISPR/Cas9 genome editing. Results Using integrated genetic alterations and gene expression profiling, we classified 23 B-ALL subtypes (Table and Figure). Three groups included cases with similar GEP as canonical subtypes (ETV6-RUNX1, KMT2A-rearranged, and ZNF384-rearranged), but lacking the expected drivers (e.g., ETV6-RUNX1-like, n=42). Eighteen cases (0.9%) had rearrangements of BCL2, MYC and/or BCL6 showing a distinct GEP; they were mostly adults (n=16) with very poor outcome. These alterations, rarely seen in ALL, are identical to those observed in "double/triple hit" lymphoma, and are of pre-B immunophenotype. Eight cases with tightly clustered GEP comprised a novel subtype defined by IKZF1 N159Y missense mutation. N159Y is in the DNA-binding domain of IKZF1, and is known to perturb IKZF1 function, with distinct nuclear mislocalization and induction of aberrant intercellular adhesion. We identified two subtypes with distinct GEP characterized by PAX5 alterations. One, herein termed PAX5 altered (PAX5alt), comprised 148 (7.4%) cases, was characterized by diverse PAX5 alterations including rearrangements (n=57), sequence mutations (n=46) and/or focal intragenic amplifications (n=8). These PAX5 alterations were found in 73.6% of PAX5alt cases and different alteration types were mutually exclusive. Other PAX5 alterations, including deletions and large-scale amplifications were also assessed using SNP array, but were not enriched in the PAX5alt group. Clinically, PAX5alt pediatric and adult patients had favorable (96.8±3.2%) and intermediate (42.1±10.2%) 5-year overall survival (OS), respectively. The other GEP distinct subtype comprised 44 cases, all with PAX5 P80R missense mutations. In 30 of these cases, PAX5 P80R was homozygous due to deletion of the wild-type (WT) PAX5 allele or copy-neutral loss of heterozygosity. Of the other 14 cases with heterozygous PAX5 P80R mutations, 13 had a second frameshift (n=7), nonsense (n=2) or deleterious missense (n=4) PAX5 mutation. Four of the remaining 1,944 cases also had the PAX5 P80R mutation, but all were heterozygous with preservation of a WT PAX5 allele, consistent with the notion that homozygous or compound heterozygous PAX5 P80R mutation is the hallmark of this subtype. Adult PAX5 P80R cases (n=14) showed better 5-year OS (61.9±13.4%) than those in PAX5alt subtype (42.1±10.2%). To examine the effects of PAX5 P80R on B-cell maturation, WT PAX5, PAX5 P80R, V26G and P34Q were expressed in Pax5-/- lineage-depleted bone marrow cells. Expression of WT PAX5, PAX5 V26G and P34Q resulted in near complete rescue of B cell differentiation; however, expression of PAX5 P80R blocked the differentiation at the pre-pro-B stage of B-cell maturation. Further, Pax5 P80R heterozygous or homozygous mice developed pre-B-ALL with a median latency of 166 and 87 days, respectively, with heterozygous mice acquiring alterations on the second allele. In contrast, Pax5+/- mice, and those harboring G183S mutation observed in familial leukemia, do not spontaneously develop B-ALL. Conclusions These results show the utility of transcriptome sequencing in defining subtypes and founding genetic alterations in B-ALL, provide a revised taxonomy of the disease across the age spectrum, and reinforce the central role of PAX5 as a checkpoint in B lymphoid maturation and leukemogenesis. Disclosures McKay: ImmunoGen Inc.: Employment. Tallman:Orsenix: Other: Advisory board; AROG: Research Funding; BioSight: Other: Advisory board; Cellerant: Research Funding; AbbVie: Research Funding; Daiichi-Sankyo: Other: Advisory board; ADC Therapeutics: Research Funding. Stock:Jazz Pharmaceuticals: Consultancy. Konopleva:Stemline Therapeutics: Research Funding. Relling:Shire Pharmaceuticals: Research Funding. Mullighan:Cancer Prevention and Research Institute of Texas: Consultancy; Amgen: Honoraria, Speakers Bureau; Abbvie: Research Funding; Loxo Oncology: Research Funding; Pfizer: Honoraria, Research Funding, Speakers Bureau.