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Acute Myeloid LeukemiaAMANITANCT07874100

This Study Aims to Improve the Stratification of Patients With Acute Myeloid Leukemia to Enable More Personalized and Effective Treatments, and to Identify and Functionally Validate, at the Single-cell Level, Biomarkers That Can Predict Response to Venetoclax.

A study testing Bulk genotyping of AML samples at diagnosis and relapse, scRNA analysis at diagnosis, scRNAseq and genotyping analysis at day 28 after therapy, spatial transcriptomic analysis at day 0 and 28 in people with Acute Myeloid Leukemia, run by Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico at 1 site in Italy.

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Official record

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Trial summary

The current classification of acute myeloid leukemias (AML) includes more than 20 different diseases, grouped based on their distinctive genomic characteristics, which reflect substantial heterogeneity. Read more about this study

Who is it for?
Ages 18 years and older
Conditions the study is for
Acute Myeloid Leukemia
What is being tested?
Bulk genotyping of AML samples at diagnosis and relapse, scRNA analysis at diagnosis, scRNAseq and genotyping analysis at day 28 after therapy, spatial transcriptomic analysis at day 0 and 28
Could I receive a placebo?
No, everyone receives an active treatment
How many people
420 participants
Where
1 siteItaly
Study dates
10 May 2022to Dec 2030
Phase
Interventional

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Who may be able to join

  • AML diagnosis

Who cannot join

  • any condition that can interfere with the protocol or with the informed consent subscription

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

Italy1 site, 1 recruiting
  • Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico - Haematology Unit

    Milan, 20122

    Niccolò Bolli, MD, PhD, +3902255033334, niccolo.bolli@policlinico.mi.it

    Recruiting

Other trials in Italy

About this study

Official title: Analisi Geno-trascrittomica Dell'eterogeneità Clonale Nella Leucemia Mieloide Acuta a Livello di Singola Cellula: Implicazioni Per la Diagnosi e la Risposta al Trattamento Con Venetoclax

The current classification of acute myeloid leukemias (AML) includes more than 20 different diseases, grouped based on their distinctive genomic characteristics, which reflect substantial heterogeneity. The rationale underlying this project is the idea that an effective diagnostic process and functional dissection of transcriptional heterogeneity at the single-cell level will lead to the identification of cell-intrinsic or cell-extrinsic biomarkers of response to novel therapies in order to improve patient care. In particular, with the study presented here, the investigators intend to obtain data relating to the sub-classification of patients into genomic subgroups with biological and prognostic relevance. Genomic subgroups are categories into which patients affected by the same disease can be divided based on the genetic characteristics found in each patient. The study foresees that part of the biological sample, collected through bone marrow blood sampling, already provided for by clinical practice will be subjected to further analyses. Specifically, DNA and RNA sequencing analyses will be performed on the cells that will be isolated from the bone marrow blood. The objective is to search for molecular markers that may allow better biological and prognostic classification of patients. Molecular markers are particular DNA sequences that, in our study, would enable the classification of patients into subgroups.

Read the detailed description

The investigators propose to enroll approximately 420 patients (of which 120 patients at the Foundation). The samples, consisting of mononuclear cells purified from bone marrow blood (obtained from bone marrow aspirate) through density gradient, will be collected and frozen under vital conditions. For 4 patients selected for in situ spatial transcriptomic analysis, the investigators will use leftover tissue sections obtained from the bone marrow biopsy performed in routine clinical practice for histopathological analysis. All samples will follow routine diagnostics, with standard karyotyping and conventional sequencing of FLT3 and NPM1 genes in line with current clinical practice. Clinical and laboratory parameters at diagnosis, during treatment, and at any relapse will be recorded in dedicated case report forms (CRFs). A second bone marrow sample will be taken in case of recurrence or refractory disease.

  1. Bulk genotyping of AML samples at diagnosis and relapse. All patients will be genotyped at diagnosis by NGS of a 69-gene panel involved in myeloid neoplasms and including targets relevant from a diagnostic, prognostic, and therapeutic standpoint. This will allow sub-classification of patients into genomic subgroups with biological and prognostic relevance. Cases will also be sequenced at relapse or in case of refractory disease. In this way, it will be possible to identify genomic lesions associated with chemoresistance and gene mutations that serve as markers for personalized targeted treatments and that could emerge during therapy.
  2. Single-cell analysis at diagnosis. Since AML is clonally heterogeneous, bulk sequencing might not be able to identify genetic or transcriptomic features associated with treatment response, nor to determine the role of the microenvironment. The investigators will therefore select 40 patients (of which 10 at the Foundation) undergoing treatment with venetoclax, provided by normal clinical practice, according to the following criteria: 1) cases with the worst prognosis and not recognized by current routine diagnostics (complex karyotype and/or TP53 abnormalities; RUNX1 gene mutations or mutations in genes encoding spliceosome/chromatin components); 2) NPM1-mutated cases, generally with good prognosis. In these cases, the investigators will perform transcriptome analysis by RNAseq in approximately 5000 single cells using the Chromium Controller instrument from 10x Genomics. Single-cell RNAseq (scRNAseq) libraries will be sequenced on Illumina platforms at a coverage depth of 30,000 reads per cell. This will allow a detailed dissection of heterogeneity at the single-cell level, and in particular: i) the identification of blasts and their distinction from stromal cells and immune microenvironment cells; ii) within blasts, the identification of their transcriptomic profiles and their heterogeneity at the single-cell level; iii) through analysis of expressed mutations and chromosomal copy number alterations, the evaluation of transcriptomic consequences of specific genomic lesions at the single-cell level; iv) as a consequence of the above, the creation of a hierarchy of blasts in these heterogeneous cases; v) analysis of the immune microenvironment; vi) through RNA velocity analysis, the prediction of the state of these cells both in the blast population and in the microenvironment.
  3. scRNAseq and genotyping analysis at day 28 (d28). All 40 patients will undergo a second bone marrow aspirate, as per normal clinical practice, and it is foreseeable that approximately one-third will show chemoresistance. The investigators will perform scRNAseq and genotyping analysis 28 days from the start of therapy to identify subclones that survive or do not survive therapy and correlate their genomic and transcriptomic characteristics with clinical response. The investigators will also determine the role of the microenvironment, and correlate early modifications found in the bone marrow with longer-term clinical outcome.
  4. Spatial transcriptomic analysis at day 0 and day 28. In 4 selected patients, the investigators will perform in situ spatial transcriptomic analysis (Xenium 10X Genomics) on osteo-myeloid biopsy, in order to evaluate the expression of target RNA molecules within the bone marrow architecture at single-cell resolution. The investigators will analyze the leftover tissue sections obtained from the BOM performed according to normal clinical practice at diagnosis and after treatment.
Being tested
Bulk genotyping of AML samples at diagnosis and relapse, scRNA analysis at diagnosis, scRNAseq and genotyping analysis at day 28 after therapy, spatial transcriptomic analysis at day 0 and 28
Keywords
AML, clonal heterogeneity, response to therapy, genomic and transcriptomic markers
Medical subject headings
Leukemia, Myeloid, Acute

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Bulk genotyping of AML samples at diagnosis and relapse, scRNA analysis at diagnosis, scRNAseq and genotyping analysis at day 28 after therapy, spatial transcriptomic analysis at day 0 and 28Genetic

    This intervention enrolls ~420 patients to investigate AML through multi-level genomic and transcriptomic analysis. Bone marrow samples are collected at diagnosis, relapse, and day 28 of treatment. All patients undergo bulk NGS genotyping using a 69-gene panel. Forty patients receiving venetoclax are selected for detailed single-cell RNAseq analysis (~5000 cells) to dissect cellular heterogeneity, identify blast populations, assess microenvironment composition, and predict cell states via RNA velocity. Four patients undergo spatial transcriptomic analysis (Xenium) on bone marrow biopsies at diagnosis and day 28 to evaluate RNA expression within tissue architecture. This comprehensive approach enables identification of genomic/transcriptomic features associated with treatment response, chemoresistance mechanisms, and personalized targeted treatment markers in heterogeneous AML populations.

Study groups in NCT07874100
Study groupRoleWhat they receive
Population under studyExperimentalAML diagnosis, m/f > 18y
Receives: Genetic: Bulk genotyping of AML samples at diagnosis and relapse, scRNA analysis at diagnosis, scRNAseq and genotyping analysis at day 28 after therapy, spatial transcriptomic analysis at day 0 and 28

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Definition of a new diagnostic protocol for AML

    Main objective of the study is to define a next generation sequencing (NGS) protocol that in the future can be applied to routine AML diagnostics, capable of improving prognostic definition and therapeutic decisions.

    In particular, the study aims to correlate genomic and transcriptomic markers with patients' clinical outcome.

    Measured: from diagnosis up to 28 days after per patient

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted14 Oct 2026
  2. Study start10 May 2022
  3. Primary completionDec 2028 (estimated)
  4. Study completionDec 2030 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Basic science
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrolment
420 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT07874100
Sponsor's protocol ID
2860
Acronym
AMANITA
Status last verified
Oct 2026
First submitted
8 Oct 2026
Last updated
21 Oct 2026
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
Yes: Consistently with the fundamental research integrity principle of sharing data within the scientific community, genomic and transcriptomic data will be made available to researchers through certified safe repositories with restricted access beyond the end of the project.

Publications

  • Calling Somatic SNVs and Indels with Mutect2 David Benjamin, Takuto Sato, Kristian Cibulskis, Gad Getz, Chip Stewart, Lee Lichtenstein bioRxiv 861054; doi: https://doi.org/10.1101/861054

  • Hao Y, Hao S, Andersen-Nissen E, Mauck WM 3rd, Zheng S, Butler A, Lee MJ, Wilk AJ, Darby C, Zager M, Hoffman P, Stoeckius M, Papalexi E, Mimitou EP, Jain J, Srivastava A, Stuart T, Fleming LM, Yeung B, Rogers AJ, McElrath JM, Blish CA, Gottardo R, Smibert P, Satija R. Integrated analysis of multimodal single-cell data. Cell. 2021 Jun 24;184(13):3573-3587.e29. doi: 10.1016/j.cell.2021.04.048. Epub 2021 May 31.

    PubMed 34062119
  • Christoforides A, Carpten JD, Weiss GJ, Demeure MJ, Von Hoff DD, Craig DW. Identification of somatic mutations in cancer through Bayesian-based analysis of sequenced genome pairs. BMC Genomics. 2013 May 4;14:302. doi: 10.1186/1471-2164-14-302.

    PubMed 23642077
  • Kim S, Scheffler K, Halpern AL, Bekritsky MA, Noh E, Kallberg M, Chen X, Kim Y, Beyter D, Krusche P, Saunders CT. Strelka2: fast and accurate calling of germline and somatic variants. Nat Methods. 2018 Aug;15(8):591-594. doi: 10.1038/s41592-018-0051-x. Epub 2018 Jul 16.

    PubMed 30013048
  • Li H, Durbin R. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics. 2010 Mar 1;26(5):589-95. doi: 10.1093/bioinformatics/btp698. Epub 2010 Jan 15.

    PubMed 20080505
  • DiNardo CD, Jonas BA, Pullarkat V, Thirman MJ, Garcia JS, Wei AH, Konopleva M, Dohner H, Letai A, Fenaux P, Koller E, Havelange V, Leber B, Esteve J, Wang J, Pejsa V, Hajek R, Porkka K, Illes A, Lavie D, Lemoli RM, Yamamoto K, Yoon SS, Jang JH, Yeh SP, Turgut M, Hong WJ, Zhou Y, Potluri J, Pratz KW. Azacitidine and Venetoclax in Previously Untreated Acute Myeloid Leukemia. N Engl J Med. 2020 Aug 13;383(7):617-629. doi: 10.1056/NEJMoa2012971.

    PubMed 32786187
  • Sekeres MA, Guyatt G, Abel G, Alibhai S, Altman JK, Buckstein R, Choe H, Desai P, Erba H, Hourigan CS, LeBlanc TW, Litzow M, MacEachern J, Michaelis LC, Mukherjee S, O'Dwyer K, Rosko A, Stone R, Agarwal A, Colunga-Lozano LE, Chang Y, Hao Q, Brignardello-Petersen R. American Society of Hematology 2020 guidelines for treating newly diagnosed acute myeloid leukemia in older adults. Blood Adv. 2020 Aug 11;4(15):3528-3549. doi: 10.1182/bloodadvances.2020001920.

    PubMed 32761235
  • Gerstung M, Papaemmanuil E, Martincorena I, Bullinger L, Gaidzik VI, Paschka P, Heuser M, Thol F, Bolli N, Ganly P, Ganser A, McDermott U, Dohner K, Schlenk RF, Dohner H, Campbell PJ. Precision oncology for acute myeloid leukemia using a knowledge bank approach. Nat Genet. 2017 Mar;49(3):332-340. doi: 10.1038/ng.3756. Epub 2017 Jan 16.

    PubMed 28092685
  • Papaemmanuil E, Gerstung M, Bullinger L, Gaidzik VI, Paschka P, Roberts ND, Potter NE, Heuser M, Thol F, Bolli N, Gundem G, Van Loo P, Martincorena I, Ganly P, Mudie L, McLaren S, O'Meara S, Raine K, Jones DR, Teague JW, Butler AP, Greaves MF, Ganser A, Dohner K, Schlenk RF, Dohner H, Campbell PJ. Genomic Classification and Prognosis in Acute Myeloid Leukemia. N Engl J Med. 2016 Jun 9;374(23):2209-2221. doi: 10.1056/NEJMoa1516192.

    PubMed 27276561
  • Arber DA, Orazi A, Hasserjian R, Thiele J, Borowitz MJ, Le Beau MM, Bloomfield CD, Cazzola M, Vardiman JW. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood. 2016 May 19;127(20):2391-405. doi: 10.1182/blood-2016-03-643544. Epub 2016 Apr 11.

    PubMed 27069254

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