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Incorvaia L, De Biase D, Nannini M, Fumagalli E, Vincenzi B, De Luca I, Brando C, Perez A, Pantaleo MA, Gasperoni S, D’Ambrosio L, Grignani G, Maloberti T, Pedone E, Bazan Russo TD, Mazzocca A, Algeri L, Dimino A, Barraco N, Serino R, Gristina V, Galvano A, Bazan V, Russo A, Badalamenti G. KIT/PDGFRA Variant Allele Frequency as Prognostic Factor in Gastrointestinal Stromal Tumors (GISTs): Results From a Multi-Institutional Cohort Study. Oncologist 2024; 29:e141-e151. [PMID: 37463014 PMCID: PMC10769785 DOI: 10.1093/oncolo/oyad206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 06/09/2023] [Indexed: 01/07/2024] Open
Abstract
BACKGROUND The patient selection for optimal adjuvant therapy in gastrointestinal stromal tumors (GISTs) is provided by nomogram based on tumor size, mitotic index, tumor location, and tumor rupture. Although mutational status is not currently used to risk assessment, tumor genotype showed a prognostic influence on natural history and tumor relapse. Innovative measures, such as KIT/PDGFRA-mutant-specific variant allele frequency (VAF) levels detection from next-generation sequencing (NGS), may act as a surrogate of tumor burden and correlate with prognosis and overall survival of patients with GIST, helping the choice for adjuvant treatment. PATIENTS AND METHODS This was a multicenter, hospital-based, retrospective/prospective cohort study to investigate the prognostic role of KIT or PDGFRA-VAF of GIST in patients with radically resected localized disease. In the current manuscript, we present the results from the retrospective phase of the study. RESULTS Two-hundred (200) patients with GIST between 2015 and 2022 afferent to 6 Italian Oncologic Centers in the EURACAN Network were included in the study. The receiver operating characteristic (ROC) curves analysis was used to classify "low" vs. "high" VAF values, further normalized on neoplastic cellularity (nVAF). When RFS between the low and high nVAF groups were compared, patients with GIST with KIT/PDGFRA nVAF > 50% showed less favorable RFS than patients in the group of nVAF ≤ 50% (2-year RFS, 72.6% vs. 93%, respectively; P = .003). The multivariable Cox regression model confirmed these results. In the homogeneous sub-population of intermediate-risk, patients with KIT-mutated GIST, the presence of nVAF >50% was statistically associated with higher disease recurrence. CONCLUSION In our study, we demonstrated that higher nVAF levels were independent predictors of GIST prognosis and survival in localized GIST patients with tumors harboring KIT or PDGFRA mutations. In the cohort of intermediate-risk patients, nVAF could be helpful to improve prognostication and the use of adjuvant imatinib.
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Affiliation(s)
- Lorena Incorvaia
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Dario De Biase
- Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy
- Solid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Margherita Nannini
- Department of Experimental, Diagnostic and Specialized Medicine, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
| | - Elena Fumagalli
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Bruno Vincenzi
- Department of Medical Oncology, Campus Biomedico University of Rome, Rome, Italy
| | - Ida De Luca
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Chiara Brando
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Alessandro Perez
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Maria A Pantaleo
- Department of Experimental, Diagnostic and Specialized Medicine, S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy
| | - Silvia Gasperoni
- Department of Oncology and Robotic Surgery, Translational Oncology Unit, University Hospital Careggi, Firenze, Italy
| | - Lorenzo D’Ambrosio
- Division of Medical Oncology, Candiolo Cancer Institute, FPO - IRCCS, Candiolo, TO, Italy
| | - Giovanni Grignani
- Division of Medical Oncology, Candiolo Cancer Institute, FPO - IRCCS, Candiolo, TO, Italy
| | - Thais Maloberti
- Solid Tumor Molecular Pathology Laboratory, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
| | - Erika Pedone
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Tancredi Didier Bazan Russo
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Alessandro Mazzocca
- Department of Medical Oncology, Campus Biomedico University of Rome, Rome, Italy
| | - Laura Algeri
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Alessandra Dimino
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Nadia Barraco
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Roberta Serino
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Valerio Gristina
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Antonio Galvano
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Viviana Bazan
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BIND), Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Antonio Russo
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
| | - Giuseppe Badalamenti
- Department of Surgical, Oncological and Oral Sciences, Section of Medical Oncology, University of Palermo, Palermo, Italy
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Yang L, Wei X, Gong Y. Prognosis and risk factors for ASXL1 mutations in patients with newly diagnosed acute myeloid leukemia and myelodysplastic syndrome. Cancer Med 2023; 13:e6871. [PMID: 38146893 PMCID: PMC10807681 DOI: 10.1002/cam4.6871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 11/29/2023] [Accepted: 12/13/2023] [Indexed: 12/27/2023] Open
Abstract
OBJECTIVE The objective of the study was to determine the prognosis and risk factors for additional sex combs like 1 (ASXL1) mutations in patients with acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). POPULATION AND METHODS This retrospective study enrolled 219 adult patients with newly diagnosed AML and MDS, who were treated in West China Hospital from October 2018 to January 2022. The primary clinical outcome was evaluated by overall survival (OS) followed up to January 2023. Kaplan-Meier analysis and Cox multivariate regression analysis were performed to identify potential prognostic parameters in patients with ASXL1 mutations (mt). RESULTS A total of 34 (15.53%) ASXL1mt were detected, which occurred more frequently in the elderly and MDS cohorts (p < 0.001). Significantly lower blasts% (p < 0.001) and higher frequencies of mutant RUNX1, SRSF2, STAG2, EZH2, and SETBP1 (p < 0.02) were observed in the ASXL1mt cohort. Patients with ASXL1mt manifested with a worse complete remission rate (p = 0.011), and an inferior OS was shown in subgroups with MDS, co-mutations of RUNX1, SRSF2, or NRAS, as well as mutations in G646W (p < 0.05). Multivariate analysis considering age, diagnosis, co-mutations, and mutation site confirmed an independently adverse prognosis of mutations in G646W (HR = 4.302, 95% CI: 1.150-16.097) or RUNX1 co-mutations (HR = 4.620, 95% CI: 1.385-15.414) in the ASXL1mt cohort. CONCLUSION Our study indicated that mutations in G646W or RUNX1 co-mutations are closely associated with a dismal clinical outcome in patients with AML and MDS harboring ASXL1mt . Considering the poor prognosis and risk factors in patients with ASXL1mt , more available treatments should be pursued.
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Affiliation(s)
- Liqing Yang
- Department of Hematology, West China HospitalSichuan UniversityChengduSichuanChina
- Department of HematologyFujian Medical University Union Hospital, Fujian Medical UniversityFuzhouFujianChina
| | - Xiaoyu Wei
- Department of Hematology, West China HospitalSichuan UniversityChengduSichuanChina
| | - Yuping Gong
- Department of Hematology, West China HospitalSichuan UniversityChengduSichuanChina
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Zoller J, Trajanova D, Feurstein S. Germline and somatic drivers in inherited hematologic malignancies. Front Oncol 2023; 13:1205855. [PMID: 37904876 PMCID: PMC10613526 DOI: 10.3389/fonc.2023.1205855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 09/15/2023] [Indexed: 11/01/2023] Open
Abstract
Inherited hematologic malignancies are linked to a heterogenous group of genes, knowledge of which is rapidly expanding using panel-based next-generation sequencing (NGS) or whole-exome/whole-genome sequencing. Importantly, the penetrance for these syndromes is incomplete, and disease development, progression or transformation has critical clinical implications. With the earlier detection of healthy carriers and sequential monitoring of these patients, clonal hematopoiesis and somatic driver variants become significant factors in determining disease transformation/progression and timing of (preemptive) hematopoietic stem cell transplant in these patients. In this review, we shed light on the detection of probable germline predisposition alleles based on diagnostic/prognostic 'somatic' NGS panels. A multi-tier approach including variant allele frequency, bi-allelic inactivation, persistence of a variant upon clinical remission and mutational burden can indicate variants with high pre-test probability. We also discuss the shared underlying biology and frequency of germline and somatic variants affecting the same gene, specifically focusing on variants in DDX41, ETV6, GATA2 and RUNX1. Germline variants in these genes are associated with a (specific) pattern or over-/underrepresentation of somatic molecular or cytogenetic alterations that may help identify the underlying germline syndrome and predict the course of disease in these individuals. This review is based on the current knowledge about somatic drivers in these four syndromes by integrating data from all published patients, thereby providing clinicians with valuable and concise information.
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Affiliation(s)
| | | | - Simone Feurstein
- Department of Internal Medicine, Section of Hematology, Oncology & Rheumatology, University Hospital Heidelberg, Heidelberg, Germany
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The Genetic Landscape of Myelodysplastic Neoplasm Progression to Acute Myeloid Leukemia. Int J Mol Sci 2023; 24:ijms24065734. [PMID: 36982819 PMCID: PMC10058431 DOI: 10.3390/ijms24065734] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/12/2023] [Accepted: 03/15/2023] [Indexed: 03/19/2023] Open
Abstract
Myelodysplastic neoplasm (MDS) represents a heterogeneous group of myeloid disorders that originate from the hematopoietic stem and progenitor cells that lead to the development of clonal hematopoiesis. MDS was characterized by an increased risk of transformation into acute myeloid leukemia (AML). In recent years, with the aid of next-generation sequencing (NGS), an increasing number of molecular aberrations were discovered, such as recurrent mutations in FLT3, NPM1, DNMT3A, TP53, NRAS, and RUNX1 genes. During MDS progression to leukemia, the order of gene mutation acquisition is not random and is important when considering the prognostic impact. Moreover, the co-occurrence of certain gene mutations is not random; some of the combinations of gene mutations seem to have a high frequency (ASXL1 and U2AF1), while the co-occurrence of mutations in splicing factor genes is rarely observed. Recent progress in the understanding of molecular events has led to MDS transformation into AML and unraveling the genetic signature has paved the way for developing novel targeted and personalized treatments. This article reviews the genetic abnormalities that increase the risk of MDS transformation to AML, and the impact of genetic changes on evolution. Selected therapies for MDS and MDS progression to AML are also discussed.
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Lee WH, Lin CC, Tsai CH, Tseng MH, Kuo YY, Liu MC, Tang JL, Sun HI, Chuang YK, Chou WC, Hou HA, Tien HF. Effect of mutation allele frequency on the risk stratification of myelodysplastic syndrome patients. Am J Hematol 2022; 97:1589-1598. [PMID: 36109871 DOI: 10.1002/ajh.26734] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/05/2022] [Accepted: 09/09/2022] [Indexed: 01/31/2023]
Abstract
Myelodysplastic syndrome (MDS) is a heterogeneous group of clonal myeloid malignancies. Though several recurrent mutations are closely correlated with clinical outcomes, data concerning the association between mutation variant allele frequencies (VAF) and prognosis are limited. In this study, we performed comprehensive VAF analyses of relevant myeloid-malignancy related mutations in 698 MDS patients and correlated the results with their prognosis. Mutation VAF in DNMT3A, TET2, ASXL1, EZH2, SETBP1, BCOR, SFSF2, ZRSR2, and TP53 mutations correlated with outcomes. In multivariable analysis, DNMT3A and ZRSR2 mutations with high VAF and mutant IDH2, CBL, U2AF1, and TP53 were independent poor prognostic factors for overall survival. A substantial portion of patients in each revised International Prognostic Scoring System (IPSS-R) risk group could be adjusted to different prognostic groups based on the integrated VAF and mutational profiles. Patients with these unfavorable mutations in each IPSS-R risk subgroup had survivals worse than other patients of the same risk but similar to those in the next higher-risk subgroup. Furthermore, patients harboring U2AF1 mutation might benefit from hypomethylating agents. This study demonstrated the critical role of VAF of mutations for risk stratification in MDS patients and may be incorporated in novel scoring systems.
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Affiliation(s)
- Wan-Hsuan Lee
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan.,Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chien-Chin Lin
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Cheng-Hong Tsai
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Department of Medical Education and Research, National Taiwan University Hospital Yunlin Branch, Douliu City, Yunlin, Taiwan
| | - Mei-Hsuan Tseng
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Yuan-Yeh Kuo
- Tai-Chen Stem Cell Therapy Center, National Taiwan University, Taipei, Taiwan
| | - Ming-Chih Liu
- Department of Pathology, National Taiwan University Hospital, Taipei, Taiwan
| | - Jih-Luh Tang
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,National Taiwan University Cancer Center Branch, National Taiwan University Hospital, Taipei, Taiwan
| | - Hsun-I Sun
- Tai-Chen Stem Cell Therapy Center, National Taiwan University, Taipei, Taiwan
| | - Yi-Kuang Chuang
- Tai-Chen Stem Cell Therapy Center, National Taiwan University, Taipei, Taiwan
| | - Wen-Chien Chou
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Department of Laboratory Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Hsin-An Hou
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Hwei-Fang Tien
- Division of Hematology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
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