Letter to the Editor

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Blood Res 2023; 58(4):

Published online December 31, 2023

https://doi.org/10.5045/br.2023.2023196

© The Korean Society of Hematology

Clinically relevant core genes for hematologic malignancies in clinical NGS panel testing

Ju Sun Song

GC Genome, GC Labs, Yongin, Korea

Correspondence to : Ju Sun Song
GC Genome, GC Labs, 107 Ihyeon-ro 30beon-gil, Giheung-gu, Yongin 16924, Korea
E-mail: sjusun277@gmail.com

Received: October 17, 2023; Revised: October 27, 2023; Accepted: October 30, 2023

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

TO THE EDITOR: Recent advancements in next-generation sequencing (NGS) technologies have enabled comprehensive genomic characterization of hematological malignancies. This has led to the discovery of numerous biomarkers, transforming the diagnosis, risk stratification, and personalized therapeutic intervention for these diseases. With the clinical significance of molecular testing, an increasing number of laboratories offer NGS analysis for hematological malignancies. Although various in-house and commercial panels are available, the target of genomic regions and genes of each panel are different. Therefore, I want to suggest several clinically relevant core genes for hematologic malignancies panels focusing on DNA testing, and, it will be helpful when employing clinically applicable NGS panel testing for hematologic malignancies.

According to the recently released 5th edition of the World Health Organization Classification of haematolymphoid tumours: myeloid and histiocytic/dendritic neoplasms [1], the myeloid malignancies panel should target genes of newly defined entities: NPM1 and CEBPA, and molecular alterations defining “AML, myelodysplasia-related”, such as ASXL1, BCOR, EZH2, RUNX1, SF3B1, SRSF2, STAG2, U2AF1, and ZRSR2 for acute myeloid leukemia. Newly defined entities for myelodysplastic neoplasms (MDS), SF3B1 and TP53, and the diagnostic criteria for BCR-ABL1- negative myeloproliferative neoplasms (MPN), JAK2, CALR, MPL, CSF3R, and KIT, should also be targeted.

With respect to prognosis, the recently released Molecular International Prognostic Scoring System for myelodysplastic syndromes (IPSS-M) [2] offers a curated list of 31 genes that merit prioritization. Also, certain genes are known to correlate with poor prognosis in BCR::ABL1-negative MPN. Moreover, the myeloid malignancy panel requires testing for therapeutic markers, such as FLT3 mutations (including FLT3-ITD) and IDH1/2 mutations to select targeted drugs for acute myeloid leukemia (AML), and ABL1 mutations to assess the response to tyrosine kinase inhibitor drugs for chronic myeloid leukemia (CML) [3].

In addition to, the 5th edition of the WHO classification of hematolymphoid tumors recognizes subtypes of myeloid neoplasms associated with germline predisposition to myeloid and histiocytic/dendritic neoplasms [1], and genes for these subtypes should be included in the panel. A comprehensive summary of the genes related to myeloid malignancies and their clinical significance is presented in Table 1.

Table 1 Genetic alterations of diagnostic, prognostic, and therapeutic impacts in myeloid malignancies.

GeneAMLMDSMPNGermline predisposition
DiagnosticPrognosticTherapeuticDiagnosticPrognosticTherapeuticDiagnosticPrognosticTherapeutic
ANKRD26O
ASXL1Ob)AdverseAdverseAdverse
BCOROb)Adverse
BCORL1Adverse
BLMO
CALRO
CBLAdverse
CEBPAOa)FavorableO
CSF3RO
DDX41O
DNMT3AAdverseAdverseAdverse
ETV6AdverseO
EZH2Ob)AdverseAdverse
FLT3Adverse (FLT3-ITD)O (midostaurin, gilteritinib, quizartinib)Adverse (FLT3-ITD+TKD)
GATA2O
IDH1O (ivosidenib, olutasidenib)Adverse
IDH2O (enasidenib)AdverseAdverse
JAK2OO
KITO
KRASAdverseAdverse
MLL (KMT2A)Adverse
MPLO
NPM1Oa)FavorableAdverse
NRASAdverseAdverse
RUNX1Ob)AdverseAdverse
SAMD9O
SAMD9LO
SETBP1Adverse
SF3B1Ob)Oa)Favorable or adversec)
SRSF2Ob)Adverse
STAG2Ob)Adverse
TET2OAdverseAdverse
TP53AdverseOa)AdverseAdverseO
U2AF1Ob)AdverseAdverse
WT1AdverseAdverse
ZRSR2Ob)

a)Target genes of newly defined entities. b)MDS-related molecular genetic abnormalities. c)Adverse prognosis is SF3B1 mutation in the presence of isolated del(5q), that is, del(5q) alone or with one additional aberration excluding -7/del(7q). The SF3B1 mutation without mutations in BCOR, BCORL1, RUNX1, NRAS, STAG2, SRSF2, or del(5q) was found to be favorable.

Abbreviations: AML, acute myeloid leukemia; MDS, myelodysplastic neoplasm; MPN, myeloproliferative neoplasm.


In the recently released 5th edition of the World Health Organization classification of hematolymphoid tumors: lymphoid neoplasms [4], the category denoted as BCR::ABL1- like features have gained acknowledgment for their diverse array of genetic abnormalities, including JAK-STAT alterations, ABL1 class fusions, and various other mutations. Mutations in SH2B3, IL7R, and JAK1/2/3 have been linked to JAK-STAT alteration [5]. Moreover, the ICC 2022 classification introduced two distinctive entities characterized by hotspot point mutations: IKZF1 N159Y and PAX5 P80R [6]. In T-cell lymphoblastic leukemia (T-ALL), NOTCH1 activating mutations and CDKN2A/B deletions represented pivotal pathogenic genes, collectively detected in 50–60% of cases, and approximately 30% of T-ALL cases exhibiting NOTCH1 mutations were concomitant with FBXW7 missense mutations [7]. In contrast to T-ALL, early T-cell precursor acute lymphoblastic leukemia (ETP-ALL) were manifested with distinctive genetic anomalies that distinguished it from conventional T-ALL. ETP-ALL lacked the common alterations observed in T-ALL, including NOTCH1 mutations and CDKN2A/B deletions. ETP-ALL was presented with a high incidence of mutations typically associated with acute myeloid leukemia (AML) [8].

In terms of prognosis, certain genes, including TP53 and those associated with chromatin modification such as CREBBP and SETD2, had demonstrated a correlation with an unfavorable prognosis in B-ALL. Moreover, copy number deletions of IKZF1 have been linked to poorer outcomes; in particular, the IKZF1 plus condition, characterized by the deletion of IKZF1 along with co-occurring deletions in CDKN2A, CDKN2B, PAX5, or PAR1 in the absence of ERG deletion, was associated with worse prognostic outcomes, especially in pediatric patients with B-ALL [9]. Moreover, both B-ALL cases exhibiting BCR::ABL1-like features and those characterized as early

Similar to CML, it is essential to test for ABL1 mutations and the PDGFRB C843G mutation, as they confer resistance to the tyrosine kinase inhibitors (TKIs) frequently used in the treatment of individuals with Philadelphia chromosome-positive ALL (ph+-ALL) [12]. Moreover, CREBBP mutations have been identified as contributors to glucocorticoid resistance in B-cell precursor acute lymphoblastic leukemia [9]. It is also crucial to consider the impact of germline variants in drug-metabolizing enzyme genes, specifically TPMT and NUDT15, and on the risk of thiopurine toxicity, which is integral to the successful treatment of ALL [13]. These insights underscore the significance of genetic testing in developing therapeutic strategies and predicting treatment responses in patients with ALL. A comprehensive summary of the genes related to ALL and their clinical significance is provided in Table 2.

Table 2 Genetic alterations of diagnostic, prognostic, and therapeutic impacts in acute lymphoblastic leukemia.

GeneB-ALLT-ALLGermline predisposition
DiagnosticPrognosticTherapeuticDiagnosticPrognosticTherapeutic
ABL1O (TKI resistance)
BRAFO (BCR::ABL1-like)Adverse
CDKN2AAdverse
CREBBPAdverseO (glucocorticoid therapy resistance)
DNMT3AO (ETP-ALL)Adverse
EEDO (ETP-ALL)Adverse
EP300O (ETP-ALL)Adverse
ETV6O
EZH2O (ETP-ALL)Adverse
FBXW7O (cT-ALL)
FLT3O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
GATA3O (ETP-ALL)Adverse
IKZF1O (N159Y)AdverseO
IL7RO (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
JAK1O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
JAK2O (BCR::ABL1-like)Adverse
JAK3O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
KRASO (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
NF1O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
NOTCH1O (cT-ALL)
NRASO (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
NT5C2AdverseO (chemotherapy resistance)
NUDT15O (thiopurine toxicity)
PAX5O (P80R)O
PDGFRBO (C843G; TKI resistance)
PHF6O (ETP-ALL)Adverse
PTPN11O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
RUNX1O (ETP-ALL)AdverseO
SETD2AdverseO (chemotherapy resistance)O (ETP-ALL)Adverse
SH2B3O (ETP-ALL)Adverse
SUZ12O (ETP-ALL)Adverse
TP53AdverseAdverseO
TPMTO (thiopurine toxicity)
WT1O (ETP-ALL)Adverse

Abbreviations: cT-ALL, conventional T-cell acute lymphoblastic leukemia; ETP-ALL, early T-cell acute lymphoblastic leukemia.


The genetic landscape of lymphoma and chronic lymphocytic leukemia (CLL) presents substantial complexity and diversity in most cases. Recent years have witnessed a rapid accumulation of knowledge, revealing a growing catalogue of recurrently mutated genes and their consequential clinical implications, which have been facilitated by advancements in next-generation sequencing technologies. Certain gene mutations within this spectrum have a significant influence on the diagnostic, prognostic, and therapeutic aspects of lymphoid neoplasms. Furthermore, recent multiplatform genomic studies have shed light on genetic subtypes and distinctive genetic features of Diffuse Large B-cell Lymphoma (DLBCL) [14]. These findings improve our understanding of the genetic underpinnings of DLBCL, which is a critical advancement in this field. The genes associated with lymphoma and chronic lymphocytic leukemia, along with their clinical significance encompassing diagnostic, prognostic, and therapeutic impacts, are compiled and presented in Table 3 [3, 7, 14-20] with corresponding references.

Table 3 Genetic alterations of diagnostic, prognostic, and therapeutic impacts in lymphoma and chronic lymphocytic leukemia.

DiseaseGeneDiagnosticPrognosticTherapeuticReference
B-cell lymphoid neoplasmCLL/SLLATMOAdverse[7]
BIRC3OAdverseO (fludarabine refratory)[15]
BTKOO (C481S; ibrutinib resistance)[16]
NOTCH1OAdverse (Richter syndrome)[7]
SF3B1OAdverse[7]
TP53OAdverseO (fludarabine refratory; Idelalisib, Idelalisib+rituximab indication)[7]
WM/LPLCXCR4OAdverse[17]
MYD88 L265POFavorable[17]
HCLBRAF V600EO[7]
ABC DLBCLBTG1O (MCD subtype)Adverse[14, 18]
CD79BO (MCD subtype)Adverse[14, 18]
CDKN2AO (MCD subtype)Adverse[14, 18]
MYD88 L265PO (MCD subtype)Adverse[14, 18]
NOTCH1O (N1 subtype)Adverse[14, 18]
PIM1O (MCD subtype)Adverse[14, 18]
TP53O (A53 subtype)Adverse[14, 18]
GCB DLBCL/FLEZH2O (EZB subtype)FavorableO (tazemetostat in FL)[3, 14, 18]
FASO (EZB subtype)Favorable[14, 18]
SGK1O (ST2 subtype)Favorable[14, 18]
SOCS1O (ST2 subtype)Favorable[14, 18]
TET2O (ST2 subtype)Favorable[14, 18]
TNFRSF14O (EZB subtype)Favorable[14, 18]
SMZLNOTCH2OAdverse[7]
TP53Adverse[16]
cHL/PMBLB2MOFavorable[7]
TNFAIP3O[7]
T-cell lymphoid neoplasmBLCCND3O[19]
ID3O[7]
TCF3O[7]
LGLLSTAT3O[16]
STAT5BO[16]
AITL/PTCLDNMT3AO[16]
IDH2O[16]
RHOAO[16]
TET2O[16]
NKTCLDDX3XAdverse[16, 20]

Abbreviations: AITL/PTCL, angioimmunoblastic T-cell lymphoma/peripheral T-cell lymphoma; BL, burkitt lymphoma; cHL/PMBL, classical Hodgkin lymphoma/primary mediastinal large B-cell lymphoma; CLL/SLL, chronic lymphocytic leukemia/small lymphocytic lymphoma; GCB DLBCL/FL, germinal center B-cell diffuse large B-cell lymphoma/follicular lymphoma; HCL, hairy cell leukemia; ABC DLBCL, activated B-cell diffuse large B-cell lymphoma; LGLL, large granular lymphocytic leukemia; NKTCL, NK-T cell lymphoma; SMZL, splenic marginal zone lymphoma; WM/LPL, Waldenstrom macroglobulinemia/lymphoplasmacytic lymphoma.


The evolution of diagnostic methodologies, risk stratification guidelines, and targeted therapies for hematologic malignancies underscores the escalating significance of thoroughly assessing an extensive array of genetic biomarkers when making informed decisions about front-line patient care. Next-generation sequencing (NGS) has emerged as a valuable tool for the prompt delivery of results across a wide spectrum of genetic targets. Moreover, the expeditious establishment of an NGS test system and its streamlined integration into clinical processes should be considered for efficient patient care.

No potential conflicts of interest relevant to this article were reported.

  1. Khoury JD, Solary E, Abla O, et al. The 5th edition of the World Health Organization classification of haematolymphoid tumours: myeloid and histiocytic/dendritic neoplasms. Leukemia 2022;36:1703-19.
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  2. Bernard E, Tuechler H, Greenberg PL, et al. Molecular International Prognostic Scoring System for Myelodysplastic Syndromes. NEJM Evidence 2022;1:1-14.
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  5. National Comprehensive Cancer Network. Acute lymphoblastic leukemia (Version 1.2023). Plymouth Meeting, PA: National Comprehensive Cancer Network, 2023. (Accessed September 11, 2023, at https://www.nccn.org/professionals/physician_gls/pdf/all.pdf).
  6. Arber DA, Orazi A, Hasserjian RP, et al. International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data. Blood 2022;140:1200-28.
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  7. Taylor J, Xiao W, Abdel-Wahab O. Diagnosis and classification of hematologic malignancies on the basis of genetics. Blood 2017;130:410-23.
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  8. Sin CF, Man PM. Early T-cell precursor acute lymphoblastic leukemia: diagnosis, updates in molecular pathogenesis, management, and novel therapies. Front Oncol 2021;11:750789.
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  9. Roberts KG. Genetics and prognosis of ALL in children vs adults. Hematology Am Soc Hematol Educ Program 2018;2018:137-45.
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  11. Reglero C, Dieck CL, Zask A, et al. Pharmacologic inhibition of NT5C2 reverses genetic and nongenetic drivers of 6-MP resistance in acute lymphoblastic leukemia. Cancer Discov 2022;12:2646-65.
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  12. Roberts KG. TKI resistance in Ph-like ALL. Blood 2018;131:2181-2.
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  13. Wahlund M, Nilsson A, Kahlin AZ, et al. The role of TPMT, ITPA, and NUDT15 variants during mercaptopurine treatment of swedish pediatric patients with acute lymphoblastic leukemia. J Pediatr 2020;216:150-7.
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  14. Wright GW, Huang DW, Phelan JD, et al. A probabilistic classification tool for genetic subtypes of diffuse large B cell lymphoma with therapeutic implications. Cancer Cell 2020;37:551-68, e14.
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  15. Rossi D, Fangazio M, Rasi S, et al. Disruption of BIRC3 associates with fludarabine chemorefractoriness in TP53 wild-type chronic lymphocytic leukemia. Blood 2012;119:2854-62.
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  16. Rosenquist R, Rosenwald A, Du MQ, et al. Clinical impact of recurrently mutated genes on lymphoma diagnostics: state-of- the-art and beyond. Haematologica 2016;101:1002-9.
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  17. Treon SP, Cao Y, Xu L, Yang G, Liu X, Hunter ZR. Somatic mutations in MYD88 and CXCR4 are determinants of clinical presentation and overall survival in Waldenstrom macroglobulinemia. Blood 2014;123:2791-6.
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Article

Letter to the Editor

Blood Res 2023; 58(4): 224-228

Published online December 31, 2023 https://doi.org/10.5045/br.2023.2023196

Copyright © The Korean Society of Hematology.

Clinically relevant core genes for hematologic malignancies in clinical NGS panel testing

Ju Sun Song

GC Genome, GC Labs, Yongin, Korea

Correspondence to:Ju Sun Song
GC Genome, GC Labs, 107 Ihyeon-ro 30beon-gil, Giheung-gu, Yongin 16924, Korea
E-mail: sjusun277@gmail.com

Received: October 17, 2023; Revised: October 27, 2023; Accepted: October 30, 2023

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Body

TO THE EDITOR: Recent advancements in next-generation sequencing (NGS) technologies have enabled comprehensive genomic characterization of hematological malignancies. This has led to the discovery of numerous biomarkers, transforming the diagnosis, risk stratification, and personalized therapeutic intervention for these diseases. With the clinical significance of molecular testing, an increasing number of laboratories offer NGS analysis for hematological malignancies. Although various in-house and commercial panels are available, the target of genomic regions and genes of each panel are different. Therefore, I want to suggest several clinically relevant core genes for hematologic malignancies panels focusing on DNA testing, and, it will be helpful when employing clinically applicable NGS panel testing for hematologic malignancies.

MYELOID MALIGNANCIES PANEL

According to the recently released 5th edition of the World Health Organization Classification of haematolymphoid tumours: myeloid and histiocytic/dendritic neoplasms [1], the myeloid malignancies panel should target genes of newly defined entities: NPM1 and CEBPA, and molecular alterations defining “AML, myelodysplasia-related”, such as ASXL1, BCOR, EZH2, RUNX1, SF3B1, SRSF2, STAG2, U2AF1, and ZRSR2 for acute myeloid leukemia. Newly defined entities for myelodysplastic neoplasms (MDS), SF3B1 and TP53, and the diagnostic criteria for BCR-ABL1- negative myeloproliferative neoplasms (MPN), JAK2, CALR, MPL, CSF3R, and KIT, should also be targeted.

With respect to prognosis, the recently released Molecular International Prognostic Scoring System for myelodysplastic syndromes (IPSS-M) [2] offers a curated list of 31 genes that merit prioritization. Also, certain genes are known to correlate with poor prognosis in BCR::ABL1-negative MPN. Moreover, the myeloid malignancy panel requires testing for therapeutic markers, such as FLT3 mutations (including FLT3-ITD) and IDH1/2 mutations to select targeted drugs for acute myeloid leukemia (AML), and ABL1 mutations to assess the response to tyrosine kinase inhibitor drugs for chronic myeloid leukemia (CML) [3].

In addition to, the 5th edition of the WHO classification of hematolymphoid tumors recognizes subtypes of myeloid neoplasms associated with germline predisposition to myeloid and histiocytic/dendritic neoplasms [1], and genes for these subtypes should be included in the panel. A comprehensive summary of the genes related to myeloid malignancies and their clinical significance is presented in Table 1.

Table 1 . Genetic alterations of diagnostic, prognostic, and therapeutic impacts in myeloid malignancies..

GeneAMLMDSMPNGermline predisposition
DiagnosticPrognosticTherapeuticDiagnosticPrognosticTherapeuticDiagnosticPrognosticTherapeutic
ANKRD26O
ASXL1Ob)AdverseAdverseAdverse
BCOROb)Adverse
BCORL1Adverse
BLMO
CALRO
CBLAdverse
CEBPAOa)FavorableO
CSF3RO
DDX41O
DNMT3AAdverseAdverseAdverse
ETV6AdverseO
EZH2Ob)AdverseAdverse
FLT3Adverse (FLT3-ITD)O (midostaurin, gilteritinib, quizartinib)Adverse (FLT3-ITD+TKD)
GATA2O
IDH1O (ivosidenib, olutasidenib)Adverse
IDH2O (enasidenib)AdverseAdverse
JAK2OO
KITO
KRASAdverseAdverse
MLL (KMT2A)Adverse
MPLO
NPM1Oa)FavorableAdverse
NRASAdverseAdverse
RUNX1Ob)AdverseAdverse
SAMD9O
SAMD9LO
SETBP1Adverse
SF3B1Ob)Oa)Favorable or adversec)
SRSF2Ob)Adverse
STAG2Ob)Adverse
TET2OAdverseAdverse
TP53AdverseOa)AdverseAdverseO
U2AF1Ob)AdverseAdverse
WT1AdverseAdverse
ZRSR2Ob)

a)Target genes of newly defined entities. b)MDS-related molecular genetic abnormalities. c)Adverse prognosis is SF3B1 mutation in the presence of isolated del(5q), that is, del(5q) alone or with one additional aberration excluding -7/del(7q). The SF3B1 mutation without mutations in BCOR, BCORL1, RUNX1, NRAS, STAG2, SRSF2, or del(5q) was found to be favorable..

Abbreviations: AML, acute myeloid leukemia; MDS, myelodysplastic neoplasm; MPN, myeloproliferative neoplasm..


ACUTE LYMPHOBLASTIC LEUKEMIA PANEL

In the recently released 5th edition of the World Health Organization classification of hematolymphoid tumors: lymphoid neoplasms [4], the category denoted as BCR::ABL1- like features have gained acknowledgment for their diverse array of genetic abnormalities, including JAK-STAT alterations, ABL1 class fusions, and various other mutations. Mutations in SH2B3, IL7R, and JAK1/2/3 have been linked to JAK-STAT alteration [5]. Moreover, the ICC 2022 classification introduced two distinctive entities characterized by hotspot point mutations: IKZF1 N159Y and PAX5 P80R [6]. In T-cell lymphoblastic leukemia (T-ALL), NOTCH1 activating mutations and CDKN2A/B deletions represented pivotal pathogenic genes, collectively detected in 50–60% of cases, and approximately 30% of T-ALL cases exhibiting NOTCH1 mutations were concomitant with FBXW7 missense mutations [7]. In contrast to T-ALL, early T-cell precursor acute lymphoblastic leukemia (ETP-ALL) were manifested with distinctive genetic anomalies that distinguished it from conventional T-ALL. ETP-ALL lacked the common alterations observed in T-ALL, including NOTCH1 mutations and CDKN2A/B deletions. ETP-ALL was presented with a high incidence of mutations typically associated with acute myeloid leukemia (AML) [8].

In terms of prognosis, certain genes, including TP53 and those associated with chromatin modification such as CREBBP and SETD2, had demonstrated a correlation with an unfavorable prognosis in B-ALL. Moreover, copy number deletions of IKZF1 have been linked to poorer outcomes; in particular, the IKZF1 plus condition, characterized by the deletion of IKZF1 along with co-occurring deletions in CDKN2A, CDKN2B, PAX5, or PAR1 in the absence of ERG deletion, was associated with worse prognostic outcomes, especially in pediatric patients with B-ALL [9]. Moreover, both B-ALL cases exhibiting BCR::ABL1-like features and those characterized as early

Similar to CML, it is essential to test for ABL1 mutations and the PDGFRB C843G mutation, as they confer resistance to the tyrosine kinase inhibitors (TKIs) frequently used in the treatment of individuals with Philadelphia chromosome-positive ALL (ph+-ALL) [12]. Moreover, CREBBP mutations have been identified as contributors to glucocorticoid resistance in B-cell precursor acute lymphoblastic leukemia [9]. It is also crucial to consider the impact of germline variants in drug-metabolizing enzyme genes, specifically TPMT and NUDT15, and on the risk of thiopurine toxicity, which is integral to the successful treatment of ALL [13]. These insights underscore the significance of genetic testing in developing therapeutic strategies and predicting treatment responses in patients with ALL. A comprehensive summary of the genes related to ALL and their clinical significance is provided in Table 2.

Table 2 . Genetic alterations of diagnostic, prognostic, and therapeutic impacts in acute lymphoblastic leukemia..

GeneB-ALLT-ALLGermline predisposition
DiagnosticPrognosticTherapeuticDiagnosticPrognosticTherapeutic
ABL1O (TKI resistance)
BRAFO (BCR::ABL1-like)Adverse
CDKN2AAdverse
CREBBPAdverseO (glucocorticoid therapy resistance)
DNMT3AO (ETP-ALL)Adverse
EEDO (ETP-ALL)Adverse
EP300O (ETP-ALL)Adverse
ETV6O
EZH2O (ETP-ALL)Adverse
FBXW7O (cT-ALL)
FLT3O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
GATA3O (ETP-ALL)Adverse
IKZF1O (N159Y)AdverseO
IL7RO (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
JAK1O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
JAK2O (BCR::ABL1-like)Adverse
JAK3O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
KRASO (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
NF1O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
NOTCH1O (cT-ALL)
NRASO (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
NT5C2AdverseO (chemotherapy resistance)
NUDT15O (thiopurine toxicity)
PAX5O (P80R)O
PDGFRBO (C843G; TKI resistance)
PHF6O (ETP-ALL)Adverse
PTPN11O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
RUNX1O (ETP-ALL)AdverseO
SETD2AdverseO (chemotherapy resistance)O (ETP-ALL)Adverse
SH2B3O (ETP-ALL)Adverse
SUZ12O (ETP-ALL)Adverse
TP53AdverseAdverseO
TPMTO (thiopurine toxicity)
WT1O (ETP-ALL)Adverse

Abbreviations: cT-ALL, conventional T-cell acute lymphoblastic leukemia; ETP-ALL, early T-cell acute lymphoblastic leukemia..


LYMPHOID NEOPLASM PANEL

The genetic landscape of lymphoma and chronic lymphocytic leukemia (CLL) presents substantial complexity and diversity in most cases. Recent years have witnessed a rapid accumulation of knowledge, revealing a growing catalogue of recurrently mutated genes and their consequential clinical implications, which have been facilitated by advancements in next-generation sequencing technologies. Certain gene mutations within this spectrum have a significant influence on the diagnostic, prognostic, and therapeutic aspects of lymphoid neoplasms. Furthermore, recent multiplatform genomic studies have shed light on genetic subtypes and distinctive genetic features of Diffuse Large B-cell Lymphoma (DLBCL) [14]. These findings improve our understanding of the genetic underpinnings of DLBCL, which is a critical advancement in this field. The genes associated with lymphoma and chronic lymphocytic leukemia, along with their clinical significance encompassing diagnostic, prognostic, and therapeutic impacts, are compiled and presented in Table 3 [3, 7, 14-20] with corresponding references.

Table 3 . Genetic alterations of diagnostic, prognostic, and therapeutic impacts in lymphoma and chronic lymphocytic leukemia..

DiseaseGeneDiagnosticPrognosticTherapeuticReference
B-cell lymphoid neoplasmCLL/SLLATMOAdverse[7]
BIRC3OAdverseO (fludarabine refratory)[15]
BTKOO (C481S; ibrutinib resistance)[16]
NOTCH1OAdverse (Richter syndrome)[7]
SF3B1OAdverse[7]
TP53OAdverseO (fludarabine refratory; Idelalisib, Idelalisib+rituximab indication)[7]
WM/LPLCXCR4OAdverse[17]
MYD88 L265POFavorable[17]
HCLBRAF V600EO[7]
ABC DLBCLBTG1O (MCD subtype)Adverse[14, 18]
CD79BO (MCD subtype)Adverse[14, 18]
CDKN2AO (MCD subtype)Adverse[14, 18]
MYD88 L265PO (MCD subtype)Adverse[14, 18]
NOTCH1O (N1 subtype)Adverse[14, 18]
PIM1O (MCD subtype)Adverse[14, 18]
TP53O (A53 subtype)Adverse[14, 18]
GCB DLBCL/FLEZH2O (EZB subtype)FavorableO (tazemetostat in FL)[3, 14, 18]
FASO (EZB subtype)Favorable[14, 18]
SGK1O (ST2 subtype)Favorable[14, 18]
SOCS1O (ST2 subtype)Favorable[14, 18]
TET2O (ST2 subtype)Favorable[14, 18]
TNFRSF14O (EZB subtype)Favorable[14, 18]
SMZLNOTCH2OAdverse[7]
TP53Adverse[16]
cHL/PMBLB2MOFavorable[7]
TNFAIP3O[7]
T-cell lymphoid neoplasmBLCCND3O[19]
ID3O[7]
TCF3O[7]
LGLLSTAT3O[16]
STAT5BO[16]
AITL/PTCLDNMT3AO[16]
IDH2O[16]
RHOAO[16]
TET2O[16]
NKTCLDDX3XAdverse[16, 20]

Abbreviations: AITL/PTCL, angioimmunoblastic T-cell lymphoma/peripheral T-cell lymphoma; BL, burkitt lymphoma; cHL/PMBL, classical Hodgkin lymphoma/primary mediastinal large B-cell lymphoma; CLL/SLL, chronic lymphocytic leukemia/small lymphocytic lymphoma; GCB DLBCL/FL, germinal center B-cell diffuse large B-cell lymphoma/follicular lymphoma; HCL, hairy cell leukemia; ABC DLBCL, activated B-cell diffuse large B-cell lymphoma; LGLL, large granular lymphocytic leukemia; NKTCL, NK-T cell lymphoma; SMZL, splenic marginal zone lymphoma; WM/LPL, Waldenstrom macroglobulinemia/lymphoplasmacytic lymphoma..


CONCLUSIONS

The evolution of diagnostic methodologies, risk stratification guidelines, and targeted therapies for hematologic malignancies underscores the escalating significance of thoroughly assessing an extensive array of genetic biomarkers when making informed decisions about front-line patient care. Next-generation sequencing (NGS) has emerged as a valuable tool for the prompt delivery of results across a wide spectrum of genetic targets. Moreover, the expeditious establishment of an NGS test system and its streamlined integration into clinical processes should be considered for efficient patient care.

Authors’ Disclosures of Potential Conflicts of Interest

No potential conflicts of interest relevant to this article were reported.

Table 1 . Genetic alterations of diagnostic, prognostic, and therapeutic impacts in myeloid malignancies..

GeneAMLMDSMPNGermline predisposition
DiagnosticPrognosticTherapeuticDiagnosticPrognosticTherapeuticDiagnosticPrognosticTherapeutic
ANKRD26O
ASXL1Ob)AdverseAdverseAdverse
BCOROb)Adverse
BCORL1Adverse
BLMO
CALRO
CBLAdverse
CEBPAOa)FavorableO
CSF3RO
DDX41O
DNMT3AAdverseAdverseAdverse
ETV6AdverseO
EZH2Ob)AdverseAdverse
FLT3Adverse (FLT3-ITD)O (midostaurin, gilteritinib, quizartinib)Adverse (FLT3-ITD+TKD)
GATA2O
IDH1O (ivosidenib, olutasidenib)Adverse
IDH2O (enasidenib)AdverseAdverse
JAK2OO
KITO
KRASAdverseAdverse
MLL (KMT2A)Adverse
MPLO
NPM1Oa)FavorableAdverse
NRASAdverseAdverse
RUNX1Ob)AdverseAdverse
SAMD9O
SAMD9LO
SETBP1Adverse
SF3B1Ob)Oa)Favorable or adversec)
SRSF2Ob)Adverse
STAG2Ob)Adverse
TET2OAdverseAdverse
TP53AdverseOa)AdverseAdverseO
U2AF1Ob)AdverseAdverse
WT1AdverseAdverse
ZRSR2Ob)

a)Target genes of newly defined entities. b)MDS-related molecular genetic abnormalities. c)Adverse prognosis is SF3B1 mutation in the presence of isolated del(5q), that is, del(5q) alone or with one additional aberration excluding -7/del(7q). The SF3B1 mutation without mutations in BCOR, BCORL1, RUNX1, NRAS, STAG2, SRSF2, or del(5q) was found to be favorable..

Abbreviations: AML, acute myeloid leukemia; MDS, myelodysplastic neoplasm; MPN, myeloproliferative neoplasm..


Table 2 . Genetic alterations of diagnostic, prognostic, and therapeutic impacts in acute lymphoblastic leukemia..

GeneB-ALLT-ALLGermline predisposition
DiagnosticPrognosticTherapeuticDiagnosticPrognosticTherapeutic
ABL1O (TKI resistance)
BRAFO (BCR::ABL1-like)Adverse
CDKN2AAdverse
CREBBPAdverseO (glucocorticoid therapy resistance)
DNMT3AO (ETP-ALL)Adverse
EEDO (ETP-ALL)Adverse
EP300O (ETP-ALL)Adverse
ETV6O
EZH2O (ETP-ALL)Adverse
FBXW7O (cT-ALL)
FLT3O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
GATA3O (ETP-ALL)Adverse
IKZF1O (N159Y)AdverseO
IL7RO (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
JAK1O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
JAK2O (BCR::ABL1-like)Adverse
JAK3O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
KRASO (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
NF1O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
NOTCH1O (cT-ALL)
NRASO (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
NT5C2AdverseO (chemotherapy resistance)
NUDT15O (thiopurine toxicity)
PAX5O (P80R)O
PDGFRBO (C843G; TKI resistance)
PHF6O (ETP-ALL)Adverse
PTPN11O (BCR::ABL1-like)AdverseO (ETP-ALL)Adverse
RUNX1O (ETP-ALL)AdverseO
SETD2AdverseO (chemotherapy resistance)O (ETP-ALL)Adverse
SH2B3O (ETP-ALL)Adverse
SUZ12O (ETP-ALL)Adverse
TP53AdverseAdverseO
TPMTO (thiopurine toxicity)
WT1O (ETP-ALL)Adverse

Abbreviations: cT-ALL, conventional T-cell acute lymphoblastic leukemia; ETP-ALL, early T-cell acute lymphoblastic leukemia..


Table 3 . Genetic alterations of diagnostic, prognostic, and therapeutic impacts in lymphoma and chronic lymphocytic leukemia..

DiseaseGeneDiagnosticPrognosticTherapeuticReference
B-cell lymphoid neoplasmCLL/SLLATMOAdverse[7]
BIRC3OAdverseO (fludarabine refratory)[15]
BTKOO (C481S; ibrutinib resistance)[16]
NOTCH1OAdverse (Richter syndrome)[7]
SF3B1OAdverse[7]
TP53OAdverseO (fludarabine refratory; Idelalisib, Idelalisib+rituximab indication)[7]
WM/LPLCXCR4OAdverse[17]
MYD88 L265POFavorable[17]
HCLBRAF V600EO[7]
ABC DLBCLBTG1O (MCD subtype)Adverse[14, 18]
CD79BO (MCD subtype)Adverse[14, 18]
CDKN2AO (MCD subtype)Adverse[14, 18]
MYD88 L265PO (MCD subtype)Adverse[14, 18]
NOTCH1O (N1 subtype)Adverse[14, 18]
PIM1O (MCD subtype)Adverse[14, 18]
TP53O (A53 subtype)Adverse[14, 18]
GCB DLBCL/FLEZH2O (EZB subtype)FavorableO (tazemetostat in FL)[3, 14, 18]
FASO (EZB subtype)Favorable[14, 18]
SGK1O (ST2 subtype)Favorable[14, 18]
SOCS1O (ST2 subtype)Favorable[14, 18]
TET2O (ST2 subtype)Favorable[14, 18]
TNFRSF14O (EZB subtype)Favorable[14, 18]
SMZLNOTCH2OAdverse[7]
TP53Adverse[16]
cHL/PMBLB2MOFavorable[7]
TNFAIP3O[7]
T-cell lymphoid neoplasmBLCCND3O[19]
ID3O[7]
TCF3O[7]
LGLLSTAT3O[16]
STAT5BO[16]
AITL/PTCLDNMT3AO[16]
IDH2O[16]
RHOAO[16]
TET2O[16]
NKTCLDDX3XAdverse[16, 20]

Abbreviations: AITL/PTCL, angioimmunoblastic T-cell lymphoma/peripheral T-cell lymphoma; BL, burkitt lymphoma; cHL/PMBL, classical Hodgkin lymphoma/primary mediastinal large B-cell lymphoma; CLL/SLL, chronic lymphocytic leukemia/small lymphocytic lymphoma; GCB DLBCL/FL, germinal center B-cell diffuse large B-cell lymphoma/follicular lymphoma; HCL, hairy cell leukemia; ABC DLBCL, activated B-cell diffuse large B-cell lymphoma; LGLL, large granular lymphocytic leukemia; NKTCL, NK-T cell lymphoma; SMZL, splenic marginal zone lymphoma; WM/LPL, Waldenstrom macroglobulinemia/lymphoplasmacytic lymphoma..


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