Biologia Molecolare: Leucemie Mieloidi Acute

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Biologia Molecolare: Leucemie Mieloidi Acute Maria Teresa Voso Diparmento di Biomedicina e Prevenzione Università Tor Vergata, Roma 20’

Transcript of Biologia Molecolare: Leucemie Mieloidi Acute

Page 1: Biologia Molecolare: Leucemie Mieloidi Acute

Biologia Molecolare: Leucemie Mieloidi Acute

Maria Teresa VosoDipartimento di Biomedicina e Prevenzione

Università Tor Vergata, Roma 20’

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Name of Company

Research support

Employee Consultant Stockholder Speaker’s Bureau

Advisory Board

Other

Celgene/BMS x x x

Astellas x

Jazz x x x

Abbvie x

Disclosures

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WHO classification of acute myeloid leukemia and related neoplasms

Arber et al., Blood 2016

*

* Defined by MDS-cytogenetics in about 30% of cases

~60-65%

~30%

~10%

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AML-MRC

Cytogenetic abnormalities

Previous history of MDS or MDS/MPNDysplasia in >50% of cells in 2 or more BM lineages, in the absence of NPM1 or CEBPA mutations

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Genetic heterogeneity of Acute Myeloid Leukemia

Dohner et al., Blood 2017

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Adapted from Dohner H et al., Blood 2017

European LeukemiaNet (ELN) 2017: prognostic stratification

with FLT3-ITDlow

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Impact of cytogenetics on survival

Analysis of 5,876 cases entered in MRC AML10, 12, and 15 trials

Grimwade D. et al., Blood. 2010*Excluding patients with t(15;17), t(8;21), inv(16), t(9;11), t(6;9), inv(3)/t(3;3). **Excluding patients with any other abnormalities listed previously.

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• Targeted resequencing of 111 myeloid cancer genes (combined with cytogenetic profiles) in 1540 AML patients

• 5,236 driver mutations (i.e. fusion genes, copy number alterations, gene mutations) involving 77 loci

• 6 genes mutated in >10% patients; 13 genes 5-10% patients; 24 genes 2-5% patients; 37 genes <2% patients

Additional mutations by NGS

Adapted from Papaemmanuil E. et al., N Engl J Med. 2016

Genomic classification

Risk-adapted strategies

Therapeutic targets

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NPM1/FLT3-ITD mutations

50-60% of NK-AML cases

One of the most frequently mutated gene in AML

Associated with good prognosis without concomitant mutation of FLT3-ITD or with FLT3-ITDlow

NPM1 represents an important prognostic indicator in AML

Pratcorona et al, Blood 2013

Overall Survival CIR

161 NPM1-mut pts, FLTD-ITDallelic ratio: high: >0.5

low: <0.5

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Other mutations

Schnittger S. et al., Blood 2011

Mutations of RUNX1 present in 10–16% of AML RUNX1mut AML is a new provisional entity in the

revised WHO classification RUNX1 mutations are associated with adverse

overall survival and with disease progression

TP53 mutations present in 5–10% of AML Prognosically unfavourable, especially in

multi-hit state

Prochazka KT. et al., Haematologica 2019

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“very favorable”

“favorable”

“intermediate”

“adverse”

“very adverse”

Patients with inv(16)/t(16;16) or biallelic

CEBPA mutations

Patients with TP53 mutations and a complex karyotype

Refinement of the 2017 ELN genetic risk stratification of AML

“favorable”

“intermediate”

“adverse”

ELN-2017

Adapted from Herold T. et al., Leukemia 2020

Refined ELN-2017Relapse-free survival

Overall survival

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- PML-RARA: 24 hours - RUNX1-RUNX1T1, CBFB-MYH11, KMT2A, (Chr 5/7 FISH panel): 2–3 days- G-banding: 1 week

- FLT3 ITD, TKD, NPM1: 72 hrs - CEBPA: 1 week

What do we need from the labs

Immunophenotype (LAIP)

1. Arber DA, Erber HP. Am J Clin Pathol 2020;154:731–41;2. Döhner H, et al. Blood 2017;129:424–47

Prior to starting treatment

To plan post-remission therapy

CEBPA, RUNX1, ASXL1, TP53or extended gene panel

or whole genome sequence

AML-MRC

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Impact of MRD in patients with AML in remission post-IC3

Identification of ≥ 0.1% MRD by multiparameter flow cytometry, or molecular methods is an important

prognostic marker that can help guide treatment (Tx) decisions

Short et al. JAMA Oncol 2020

Overall Survival Disease-free Survival

Dynamic Survival Prediction: Minimal/measurable Residual Disease (MRD)

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Preleukemic Leukemic

FLT3-ITDFLT3-TKDRASPTPN11KIT

DNMT3ATET2ASXL1IDH1/2SF3B1

PML/RARANPM1RUNX1-RUNX1T1CBFB-MYH11Other transloc.

SensitivePotentially unspecific

SpecificLost in 10-50%

SensitiveSpecific

Post-Onset Drivers

Suitability of MRD Detection Markers

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QRT-PCR for PML/RARA

Cicconi et al., Leukemia 2016, Diverio et al, Blood 2008

>60% of patients tested +ve for PML/ RARA after induction therapy

Reduction of PML/RARA after induction was greater in patients receiving ATRA–CHT

PML/RARA levels at the time point of post-induction were not predictive of subsequent relapse

Kinetics of PML/RARA clearance in pts treated with ATRA-chemo vs ATRA-ATO

Diagnosis

Post-induction

Post III consolidation

PML/RARA +ve patients by QRT-PCR Cumulative Incidence of Relapse

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MRD by RQ-PCR in PB after 2 Cycles of CHT

Ivey A et al., NEJM 2016

NPM1-mut in 2° post cons: higher risk of relapse at 3 years and lower rate of survival

BM MRD testing for NPM1-mutated AML does appear to be more sensitive than testing via PB

The presence of MRD in PB was highly informative among patients in morphologic CR

QRT-PCR for NPM1mut: PB better than BM

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Log-reduction of transcripts predicts relapse in CBF-AML

• Upfront genetics and MRD determination in CBF-AML

• 198 patients

• QRT-PCR transcripts determination after first consolidation

• A less than 3-log MRD reduction or a level >0.1% was associated with a higher specific hazard of relapse

Jourdan et al., Blood 2013

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Targeted NGS at diagnosis and after induction therapy (during CR)

Jongen-Lavrencic et al. NEJM 2018

Persistent mutations were detected in 51.4% of the patients

“DTA” mutations were most common

MRD monitoring by NGS

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Kronke et al J Clin Oncol 2011Jongen-Lavrencic M, et al. N Engl J Med

MRD: NGS vs MFC or both?

MRD, assessed by cytofluorimetry (MFC) or molecular methods, including NGS, significantly predicts relapse

NGS has significant additive value to MFC

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Normal-K AML at relapse

Greif et al, Clin Cancer Res 2018

Karyotype evolution:6/28 (21%)

Disease evolution at Relapse

Schmalbrok et al, Blood 2021

FLT3-ITD mutations

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Markers Diagnosis Prognosis MRD Targeted Th.

PML-RARA x x x x

RUNX1/RUNXT1 x x x

CBF/MYH11 x x x

NPM1mut x x x

FLT3-ITD x x

FLT3-TKD x

CEBPAmut BA x

RUNX1 x x

BCR-ABL x x x x

TP53 x

ASXL1 x

t(9;11), inv(3), t(6;9), t(1;22)

x x

MDS-RC K x x

Clinical Role of Molecular Markers

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WGS for AML diagnosis

Duncavage et al., NEJM 2021

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Personalized Medicine in AML

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Acknowledgements

M. Domenica DivonaEmiliano Fabiani

Giulia FalconiTiziana Ottone

Serena Travaglini

Giorgio ArceseFrancesco Buccisano

Maria Ilaria Del PrincipeLuca Maurillo

Raffaele PalmieriAdriano Venditti