Classification and risk stratification in T-lineage acute lymphoblastic leukemia Flashcards

1
Q

What have cure rates for patients with acute lymphoblastic leukemia (ALL) improved due to?

A

Risk stratification incorporating leukemia genomics, response to treatment, and clinical features.

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2
Q

What are the key prognostic factors validated in T-lineage acute lymphoblastic leukemia (T-ALL)?

A
  • Age
  • Central nervous system involvement
  • Measurable residual disease (MRD) response
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3
Q

How is immunophenotype used in T-ALL classification?

A

It is widely used but not consistently associated with outcome in multivariable risk models.

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4
Q

What has recent genomic profiling identified in T-ALL?

A

Multiple genetic subtypes and alterations associated with outcome independent of MRD.

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5
Q

What is the purpose of risk stratification in acute lymphoblastic leukemia?

A

To group patients based on expected prognosis by integrating biologic biomarkers with demographics, clinical features, and therapy response.

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6
Q

What is the common treatment approach for high-risk patients with ALL?

A

They receive more intensive or alternate therapies, including immunotherapies and precision medicines.

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7
Q

What distinguishes low-risk patients with ALL?

A

They may be eligible for clinical trials exploring therapy reduction to mitigate toxicity.

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8
Q

What are some of the validated prognostic features in B-lineage ALL (B-ALL)?

A
  • White blood cell count (WBC)
  • Age
  • CNS disease at diagnosis
  • MRD response
  • Subtype-defining genomic alterations (e.g., BCR::ABL1, ETV6::RUNX1)
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9
Q

What percentage of T-ALL patients who relapse are classified as ‘low-risk’ at diagnosis?

A

A large percentage.

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10
Q

What is the most common childhood tumor?

A

Acute lymphoblastic leukemia (ALL).

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11
Q

What percentage of childhood and adult ALL cases does T-ALL account for?

A
  • Childhood: 10% to 15%
  • Adult: 10% to 25%
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12
Q

In which demographic is T-ALL more commonly observed?

A

Males (~70% of cases).

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13
Q

What is a contributing factor to the increased frequency of T-ALL in males?

A

Frequent alterations of genes located on the X chromosome.

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14
Q

How does the prevalence of B-ALL and T-ALL differ based on self-identified race in the United States?

A
  • B-ALL is more common in children self-identifying as White.
  • T-ALL is more prevalent in patients self-identifying as Black or African American.
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15
Q

What disparity was found in outcome for children and AYAs with B-ALL based on race?

A

Substantial outcome disparities were found for those self-reporting as Black or African American and Hispanic.

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16
Q

Was there a difference in survival for T-ALL based on self-reported race or ethnicity?

A

No difference in survival was seen.

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17
Q

What is suggested about the timing of therapy for T-ALL compared to B-ALL?

A

Earlier courses of more intensive therapy may be more important for cure in T-ALL.

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18
Q

What may earlier relapses in T-ALL be linked to?

A

Resistance to antimetabolite-based maintenance chemotherapy.

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19
Q
A
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20
Q

What is the mechanism of relapse in T-ALL?

A

The clonal selection of blasts with genetic alterations in chemotherapy resistance genes, such as NT5C2.

Disparities related to adherence during maintenance may not affect outcomes to the same degree in T-ALL as in B-ALL.

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21
Q

What clinical features have historically been used for T-ALL risk stratification?

A

Mediastinal mass, CNS involvement, peripheral blood WBC, hemoglobin, platelet count, age, and splenomegaly at diagnosis.

Modern T-ALL risk stratification now includes MRD response.

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22
Q

Which factors remain independently prognostic in modern T-ALL risk stratification?

A

Age and CNS involvement.

Age at diagnosis is a strong predictor of outcome in both B- and T-ALL.

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23
Q

What is the prognosis for infants aged <1 year diagnosed with T-ALL?

A

Poor outcomes regardless of type of leukemia.

T-ALL is rare in infants and data are limited.

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24
Q

How does age affect prognosis in B-ALL?

A

Patients aged ≥10 years have a worse prognosis, with survival rates declining almost linearly with increasing age beyond 10 years.

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25
Q

What recent change has been made in B-ALL risk stratification algorithms regarding age?

A

Age is treated as a continuous variable rather than dividing patients into discrete groups.

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26
Q

What is the correlation between peripheral blood leukocyte count at diagnosis (WBC) and outcome in ALL?

A

WBC is correlated with outcome, often dichotomized in risk stratification.

In T-ALL, the prognostic impact of WBC is less robust.

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27
Q

What WBC count is often used as a cutoff for high- and low-risk groups in B-ALL?

A

50,000 cells per mL.

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28
Q

What WBC count is associated with inferior survival in children with non-ETP T-ALL?

A

> 200,000 cells per L.

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29
Q

What are the CNS status classifications used to predict outcomes?

A
  1. CNS-1 (no blasts)
  2. CNS-2 (blasts present with <5 cells per mL)
  3. CNS-3 (blasts present with ≥25 cells per mL).
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30
Q

What is the prognostic significance of CNS status in T-ALL?

A

CNS-3 predicts poorer outcomes despite intensive CNS-directed therapy.

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31
Q

How does the EGIL classify T-ALL?

A

Into 4 groups: pro-T ALL, pre-T/immature ALL, cortical T-ALL, and ETP ALL.

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32
Q

What immunophenotype defines ETP ALL?

A

Positivity for T-cell markers (CD2, cCD3, CD7), absence of CD1a, and positivity for at least one myeloid or stem cell marker.

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33
Q

How do survival rates compare between ETP ALL and non-ETP T-ALL?

A

Survival rates for ETP ALL are now comparable with those of non-ETP T-ALL.

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34
Q

What is the strongest predictor of outcome in T-ALL?

A

Therapy response.

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35
Q

What is the significance of early treatment response in T-ALL?

A

It correlates with outcomes but does not retain independent prognostic significance in all studies.

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36
Q

What are ‘prednisone good responders’ and ‘prednisone poor responders’ in T-ALL?

A

‘Prednisone good responders’ have <1.0 x 10^9 per liter blasts after prephase; ‘prednisone poor responders’ have higher levels.

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37
Q

What outcomes are associated with prednisone good responders in T-ALL?

A

Improved event-free survival (EFS) and overall survival compared to prednisone poor responders.

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38
Q
A
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39
Q

What was the prognostic value of early peripheral blood MRD response at day 8 of induction?

A

It had prognostic value in univariable analysis but not in multivariable analysis when end-of-induction BM MRD was considered.

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40
Q

Which time point is considered the best predictor of outcome in B-ALL according to the majority of data?

A

End-of-induction MRD assessment (time point 1).

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41
Q

What is a better predictor of adverse outcomes in T-ALL according to the AlEOP-BFM ALL 2000 study?

A

End-of-consolidation (EOC) MRD (time point 2).

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42
Q

What does EOC MRD assess?

A

MRD levels after completing the consolidation phase.

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43
Q

What percentage of patients were MRD positive on the AALL1231 clinical trial using a 0.1% threshold?

A

<5% of patients.

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44
Q

What is the definition of induction failure (IF) in T-ALL?

A

Varies across cooperative groups; some use BM blast percentage, others MRD, and some both.

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45
Q

What is the common threshold for defining induction failure in some cooperative groups?

A

≥25% BM blasts after induction.

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46
Q

What is the World Health Organization’s distinction in T-ALL?

A

Distinguishes ETP ALL and more differentiated T-ALL.

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47
Q

How many entities does the International Consensus Classification recognize in T-ALL?

A

3 entities and 8 provisional entities.

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48
Q

What are some identified oncogenes in T-ALL?

A

TAL1, LMO1, LMO2, TLX1, NKX2-1, HOXA9, TLX3.

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49
Q

What mechanisms commonly activate T-ALL transcription factor oncogenes?

A

Chromosomal translocations or enhancer alterations.

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50
Q

What study improved T-ALL classification using genetic alterations?

A

A study of 1309 pediatric and young adult cases subjected to whole-genome sequencing.

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51
Q

What percentage of disease-classifying driver alterations were found in noncoding regions?

A

59%.

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52
Q

What is a hallmark of ETP-like ALL?

A

Driver alterations of genes encoding known or putative regulators of hematopoietic stem cells.

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53
Q

What conclusion was drawn regarding immunophenotypic classification in T-ALL?

A

It is suboptimal.

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54
Q

Fill in the blank: The ETP-like subtype is distinct from the more differentiated _______ and HOXA9 TCR subtypes.

A

MLLT10/KMT2A.

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55
Q

What did early studies define as immature leukemia?

A

High expression of LYL1, LMO2, CD34.

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56
Q
A
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57
Q

What is the five-year event-free survival (EFS) percentage for T-ALL?

A

86%

Based on a cohort of 889 patients.

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58
Q

What is the five-year event-free survival (EFS) percentage for ETP ALL?

A

81%

Based on a cohort of 102 patients.

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59
Q

What does EFS stand for?

A

Event-Free Survival

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60
Q

List three genes associated with T-ALL classification.

A
  • NKX2-1
  • TLX1
  • TAL1 DP-like
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61
Q

What is the survival probability (EFS) for Low-Risk T-ALL with NKX2-R?

A

93%

Based on a cohort of 84 patients.

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62
Q

What is the survival probability (EFS) for High-Risk T-ALL with SPI1-R?

A

34%

Based on a cohort of 11 patients.

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63
Q

Fill in the blank: The five-year EFS for Moderate-Risk T-ALL with LMO1/2-R is _____

64
Q

True or False: ETP-like T-ALL has a five-year EFS of 75% in the High-Risk category.

65
Q

What is the five-year event-free survival (EFS) percentage for T-ALL NOS?

A

80%

Based on a cohort of 225 patients.

66
Q

What does the term ‘ETP’ refer to in the context of T-ALL?

A

Early T-cell Precursor

67
Q

Identify two pathways that are altered in T-ALL subtypes.

A
  • JAK/STAT
  • RAS
68
Q

What is the significance of the log-rank test in this context?

A

It is used to compare survival distributions.

69
Q

What is the five-year EFS for patients with KMT2A?

A

100%

Based on a cohort of 39 patients.

70
Q

List two genetic subgroups that are separated from the ETP-like subtype.

A
  • HOXA9
  • MLLT10
71
Q

Fill in the blank: The five-year EFS for patients with TLX3 is _____

72
Q

What is the five-year EFS for patients with NKX2-5?

A

62%

Based on a cohort of 8 patients.

73
Q

What does the term ‘TME-enriched’ indicate in T-ALL classifications?

A

A subtype with specific genetic markers.

74
Q

What percentage of patients with ETP-like T-ALL have a five-year EFS of 75%?

A

75%

Based on a cohort of 235 patients.

75
Q

True or False: The five-year EFS of HOXA9 TCR is 100%.

76
Q

What is the five-year EFS for patients with MLLT10?

A

79%

Based on a cohort of 31 patients.

78
Q

What defines ETP-like T-ALL?

A

Defined by genomics and variable immunophenotype

79
Q

What are the three subtypes of ETP-like T-ALL?

A
  • ETP (38%)
  • Near-ETP (34%)
  • Non-ETP (28%)
80
Q

What is the prognosis for ETP-like T-ALL?

A

Worse outcome and poor event/disease-free survival (EFS/DFS)

81
Q

What is a common characteristic of ETP-like T-ALL regarding induction?

A

High end of induction MRD and high rates of induction failure

82
Q

What percentage of ETP cases are ETP-like?

A

71% of ETP cases are ETP-like

83
Q

What genomic subtypes are included in ETP-like T-ALL?

A
  • ETP-like (70%)
  • BCL11B (14%)
  • TLX3 Immature (8%)
  • Other (7%)
84
Q

Do immunophenotypes impact EFS/DFS in ETP-like T-ALL?

A

No impact on EFS/DFS

85
Q

What defines Non-ETP in T-ALL?

A

Defined by immunophenotype and variable genomic subtypes

86
Q

What is the percentage of ETP-like cases in Non-ETP?

A

7% ETP-like cases in Non-ETP

87
Q

What are some key genetic alterations associated with T-ALL?

A
  • PIK3CD
  • PIK3R1
  • PTEN
  • MTOR
  • NRAS
  • KRAS
88
Q

What is the significance of NOTCH1 activation in T-ALL?

A

NOTCH1 activation has been associated with favorable outcomes

89
Q

What was found regarding intronic NOTCH1 variants?

A

Worse outcomes for intronic NOTCH1 single-nucleotide variants and intragenic deletions

90
Q

What do recent studies suggest about relapse in T-ALL?

A

Lack of a unifying genetic driver of relapse

91
Q

What percentage of relapse cases in T-ALL had ETP immunophenotype?

A

~50% of cases were of ETP immunophenotype

92
Q

What is the most prevalent mutation driving T-ALL relapse?

A

Activation of nucleosidase NTSC2, facilitating chemotherapy resistance

93
Q

What other mutations are commonly enriched in T-ALL relapse?

A
  • RAS-activating mutations in ~23%
  • TP53 in ~8%
94
Q

What is a hypermutator phenotype in T-ALL relapse?

A

Observed in ~8% of relapses and indicative of defective DNA mismatch repair

95
Q

What does the emergence of dominant clones at relapse indicate?

A

Expansion of minor clones with NOTCH1, KRAS/NRAS, and CREBBP mutations

97
Q

What age is considered a high-risk feature for T-ALL?

A

Age ≥30 y or Age <1 y

98
Q

What is the WBC threshold for high-risk T-ALL?

A

WBC ≥200 000 cells per pL

99
Q

What indicates a positive MRD at the end of induction?

A

End-of-induction MRD positive

100
Q

What is a characteristic of the immunophenotype in high-risk T-ALL?

101
Q

What is the significance of the ETP ALL subtype?

A

Considered to be high risk

102
Q

What genomic alterations are associated with ETP ALL?

A

NOTCHIWT, FBXW/WT, KRAS/NRAS, PTEN, KMTA-FO

103
Q

What does CNS-3 indicate in T-ALL risk features?

104
Q

What does a WBC count of ≥50 000 cells per L indicate?

105
Q

Fill in the blank: The MRD threshold(s) used to distinguish favorable vs unfavorable risk T-ALL vary based on the treatment _______.

106
Q

True or False: The study of Pölönen et al identified multiple genomic subtypes to be prognostic independent of MRD.

107
Q

What is the significance of KMT2A rearrangement in T-ALL?

A

Associated with poor MRD response at end of induction

108
Q

What subgroup displayed higher rates of MRD yet achieved favorable outcomes?

A

ZFP36L2 ETP-like subgroup

109
Q

What is one reason for limited progress in identifying genomic alterations in T-ALL?

A

Few cases subjected to WGS

110
Q

What is the impact of treatment response on identifying prognostic genetic alterations in T-ALL?

A

No study has been large enough for independent identification

111
Q

What does the term ‘self-reported race: Black or African American’ indicate?

A

Needs validation

112
Q

Fill in the blank: Immunophenotype-defined ETP ALL has been considered high risk and is considered in risk _______.

A

stratification

113
Q

What is a common characteristic of ETP-like subgroups?

A

Often associated with worse outcomes

114
Q

What is the outcome of BCL11B-activated subtype despite being highly enriched for ETP immunophenotype?

A

Relatively favorable outcome

115
Q

What is the significance of the bone-marrow progenitor-like signature in T-ALL?

A

It serves as a tool for T-ALL risk stratification and is significantly enriched in the ETP-like subtype.

116
Q

How are TAL1 subtypes classified?

A

By differentiation stage into aß-like and double positive (DP)-like subtypes, and further into genetic subgroups with varying clinical outcomes.

117
Q

What characterizes the TAL1 DP-like subtype?

A

High expression of CD4, CD8, RAG1, and RAG2.

118
Q

What are the four groups within the TAL1 DP-like subtype?

A
  • RPL10 mutations (TAL1 DP-like RPL10)
  • LEF1 SVs and deletions or LYL1 alterations (TAL1 DP-like LEF1/LYL1)
  • Mutations activating JAK signaling (TAL1 DP-like JAK)
  • Heterogenous additional lesions (TAL1 DP-like Other).
119
Q

Which TAL1 DP-like groups have worse outcomes?

A

The TAL1 DP-like ‘LEF1/LYL1’ and ‘Other’ groups.

120
Q

What defines the TAL1 aß-like subtype?

A

TCRaß rearrangements and high expression of the TCRa constant (TRAC) gene.

121
Q

What are the three groups within the TAL1 aß-like subtype?

A
  • PTEN deletions, PI3K pathway alterations, and NOTCH1 wild type (TAL1 aß-like NOTCH WT)
  • Loss of 6q (TAL1 aß-like loss 6q)
  • Other alterations including NOTCH1 mutations without 6q loss (TAL1 aß-like other).
122
Q

Which TAL1 aß-like group had inferior outcomes?

A

The TAL1 aß-like ‘Other’ group.

123
Q

What are the two subtypes of TLX3?

A
  • TLX3 immature
  • DP-like.
124
Q

What is associated with the TLX3 immature subtype?

A

Worse prognosis and various colesions that deregulate kinase signaling.

125
Q

What type of cancers frequently develop from the SPl1 subtype?

A

Secondary cancers related to dendritic cell-derived Langerhans cell histiocytosis and myeloid sarcomas.

126
Q

What is the significance of the BRAF mutation in the SPl1 subtype?

A

It is related to clonal changes during the transformation from T-ALL to histiocytosis.

127
Q

What demographic showed a higher risk for y T-ALL according to Kimura et al’s study?

A

Children aged <3 years and those with the STAG2/LMO2 subtype.

128
Q

What characterizes the LMO2 yo-like T-ALL subtype?

A

Most cases harbor BCL11B::LMO2 rearrangements and frequently have poor response to induction therapy.

129
Q

What has been reported about DNA CpG methylation in T-ALL?

A

Associations between DNA CpG methylation and outcome have been reported, but it is unclear if these are independent of genomic subtype.

130
Q

What is the ‘CpG island methylator phenotype’ associated with?

A

Favorable prognosis in hypermethylated cancers.

131
Q

What common alterations are seen in adult T-ALL regarding methylation?

A

Alterations in DNA methyltransferases (e.g., DNMT3A, DNMT3B) and in demethylase inhibitors (e.g., IDH1, IDH2).

132
Q

What does the aberrant methylation profile reflect according to Roels et al?

A

The epigenetic history of T-ALL established in preleukemic thymocytes.

133
Q

What is the goal of developing prognostic models for T-ALL?

A

To enable optimal risk stratification incorporating clinical and genomic information.

134
Q

What is the only classifier applied across multiple cohorts for T-ALL?

A

A 5-gene risk classifier (NOTCH1, FBXW7, NRAS/KRAS, and PTEN).

135
Q

What novel classification algorithm was proposed by Simonin et al?

A

An NGS-based risk classification algorithm for T-ALL that stratifies both adult and pediatric cohorts.

136
Q

What genes are associated with favorable outcomes in the novel classification algorithm?

A
  • NOTCH1
  • FBXW7
  • PHF6
  • EP300.
137
Q

What alterations are associated with higher relapse rates?

A
  • NRAS
  • KRAS
  • PI3K pathway genes
  • TP53
  • DNMT3A
  • IDH1
  • IDH2
  • IKZF1.
138
Q

What are the two accurate risk frameworks developed by Pölönen et al?

A
  • A penalized Cox regression model
  • A survival tree.
139
Q

What does the penalized Cox regression model incorporate?

A

Clinical variables, 5 subtypes, and 18 genomic alterations selected in a data-driven way.

140
Q

What does the survival tree divide groups based on?

A

Subtype or genetic subgroup and MRD of ≤0.1% vs >0.1%.

141
Q

What is essential for advancing the understanding of T-ALL?

A

Integrated analysis of WGS and WTS data to identify genomic alterations defining disease subtypes.

142
Q

What is pivotal for accurate T-ALL classification and prognostication?

A

Identification of 15 subtypes of T-ALL and drivers by genomic analysis

Validation of findings in independent cohorts is essential.

143
Q

What has proven valuable in the prognostic classification of acute myeloid leukemia?

A

Assessing the allelic fraction of FLT3 internal tandem duplication

Screening for similar biomarkers in T-ALL could offer significant prognostic insights.

144
Q

What factors require evaluation in T-ALL outcomes?

A

Germ line predisposition and genetic ancestry

These factors can influence prognosis and treatment responses.

145
Q

What is necessary for understanding different T-ALL subtypes?

A

Mechanistic studies and assessing targetability to precision medicines

This understanding is crucial for developing effective treatments.

146
Q

What percentage of childhood T-ALL cases are predicted to be sensitive to dasatinib?

A

~40%

Sensitivity is based on pre-TCR-LCK activation, enriched in cases with TAL1, TAL2, or LMO1/2 overexpression.

147
Q

What are the two TAL1 subtypes mentioned?

A
  • TAL1 aß-like subtype
  • TAL1 DP-like subtype

These subtypes correspond to specific T-cell maturational stages.

148
Q

What vulnerability was identified in the STAG2/LMO2 subtype?

A

DNA repair pathway vulnerability from STAG2 inactivation

This can be targeted by poly(adenosine 5’-diphosphate-ribose) polymerase inhibitors.

149
Q

What is the goal of genomic profiling in T-ALL?

A

To identify patients more likely to benefit from targeted therapies

This is an important area for future investigation.

150
Q

What relationship requires further investigation in T-ALL?

A

Mechanisms of relapse and their relationship to specific subtypes

Current analyses have focused predominantly on genetic drivers of relapse.

151
Q

What emerging area presents a promising opportunity for research on relapse?

A

Nongenetic mechanisms of relapse and treatment resistance

Noncoding alterations in relapse have been previously underexplored.

152
Q

What have TAL1 enhancer indels and hijacking of enhancers been linked to?

A

A higher cumulative incidence of relapse

This includes alterations involving LMO2 and NOTCH1 intragenic deletions.

153
Q

What does the latest research provide for T-ALL disease biology?

A

A roadmap for mechanistic understanding of T-ALL disease biology and progression

This includes advancements in classification and discovery of key relapse mechanisms.

154
Q

What is the next key phase in T-ALL research?

A

Benchmark disease classification and risk stratification approaches in independent cohorts

Translating genomic knowledge into improved treatment strategies is crucial.

155
Q

What are the potential outcomes of improved T-ALL treatment strategies?

A
  • Higher remission rates
  • Lower relapse rates
  • Increased survival rates

These outcomes are essential for enhancing patient care.