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Iacobucci, Ilaria

0000-0003-2008-1365

Mayo Clinic

Ti-Cheng Chang, PhD, Center for Applied Bioinformatics, St Jude Children's Research Hospital, Memphis, TN; Wenan Chen, PhD, Center for Applied Bioinformatics, St Jude Children's Research Hospital, Memphis, TN, Division of Computational Biology, Mayo Clinic

Citations 3

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.