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Enregistrement W4385330391 · doi:10.1002/ctm2.1327

Dissecting the cell of origin of aberrant SALL4 expression in myelodysplastic syndrome

2023· letter· en· W4385330391 sur OpenAlexaff
Hiro Tatetsu, Miho Watanabe, Jun Liu, Kenji Tokunaga, Eisaku Iwanaga, Yoshihiro Komohara, Emily M. Thrash, Mahmoud A. Bassal, Masao Matsuoka, Daniel G. Tenen, Li Chai

Notice bibliographique

RevueClinical and Translational Medicine · 2023
Typeletter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueRenal and related cancers
Établissements canadiensFluidigm (Canada)
Organismes subventionnairesNational Cancer InstituteNational Heart, Lung, and Blood InstituteNational Institutes of Health
Mots-clésMyelodysplastic syndromesGATA2MedicineCancer researchTranscription factorBone marrowInternational Prognostic Scoring SystemMyeloid leukemiaMyeloidHaematopoiesisLeukemiaDysplasiaMass cytometryStem cellBioinformaticsBiologyImmunologyGenePathologyGenetics

Résumé

récupéré en direct d'OpenAlex

Dear Editor, Despite the increased reports on oncofetal protein Spalt like transcription factor 4 (SALL4) in myelodysplastic syndrome (MDS), the cellular identity of its aberrant expression in MDS patients remains unknown. Uncovering the answer to this question has important implications for furthering our understanding of the pathogenesis of MDS, as well as for the development of therapeutic targeting of SALL4 in MDS. Our study is the first to characterize aberrant SALL4 expression in MDS patient samples at a single cell level. Myelodysplastic Syndromes (MDS) are a heterogeneous group of diseases characterized by cytologic dysplasia and cytopenias resulting from ineffective hematopoiesis.1 Up to 30% of patients with MDS may transform to acute myeloid leukemia (AML). Despite the well-characterized cytogenetic changes and gene mutations associated with MDS, the pathogenesis of the disease remains incompletely understood, which is a major barrier to developing effective therapeutic strategies.1 SALL4, a transcription factor important for development and embryonic stem cell properties,2 is aberrantly expressed in various cancers3, 4 and is a known leukemic oncogenic driver.5-7 Its expression level serves as a prognostic biomarker for MDS at the time of diagnosis.8 We recently showed that SALL4 up-regulation following hypomethylating agent treatment in MDS patients correlates with poor outcomes.9 To further investigate the cellular identity of bone marrow cells with aberrant SALL4 expression in MDS patients, we utilized mass cytometry (CyTOF) to analyze MDS bone marrow cells in comparison to controls. Additionally, to address the relationship between SALL4 expression and somatic gene mutations, which is important for risk stratification and identification of disease drivers, we performed paired bone marrow Whole Exome Sequencing (WES) on these samples. DNA from bone marrow (BM) mononuclear cells from MDS and control samples (lymphoma without bone marrow infiltration) were extracted according to the manufacturer's recommendations (Table S1). We first examined SALL4 mRNA expression in MDS CD34+ cells by analyzing MDS expression profiles from the public database GSE19429, which contained 183 patients with MDS and 17 healthy controls. We observed that SALL4 expression in MDS CD34 cells was higher than that of controls, with the highest expression in refractory anemia with excess blasts type 2 (RAEB2) (p ≤ .05) (Figure 1A,B). To further investigate the protein expression pattern of SALL4 in MDS patients’ BM, we performed CyTOF experiments, which included 22 surface markers of cell surface proteins and 5 markers of intracellular signaling with single-cellular resolution (Table S2). We validated the CyTOF method in cell lines, using published gating methods (Figures S1 and S2). Our results showed that MDS patients had aberrant SALL4 protein expression in hematopoietic stem cells (HSC) (p ≤ .05), hematopoietic progenitor cells (HPC) (p ≤ .05) and myeloid lineage cells (p ≤ .05) when compared to controls (Figure 1C and Figure S2). Understanding the cell of origin with aberrant SALL4 expression has important implications for understanding MDS pathogenesis, as well as SALL4 therapeutic targeting in myeloid neoplasms. Recent advances in the understanding of myeloid neoplasm pathogenesis and refined analysis of AML bone marrow cell-of-origin studies have led to the design of therapeutic targeting of leukemia stem cells as a more promising approach toward a cure. Next, we investigated the relationship between SALL4 expression with p53, ki67, c-myc or phosphorylated AKT (pAKT), which have important roles in leukemia or MDS pathogenesis,1 on single cell level. SALL4 expressing cells expressed p53 (p = .01) in hematopoietic stem/progenitor (HSPC) (Figure 2A) and showed a trend of a higher level of pAKT and ki67. Next, FlowSOM via viSNE analysis was performed on MDS bone marrow cells to understand the expression pattern of SALL4 and p53 and to investigate the relationship between them. This analysis distinguished 49 clusters (Figure 2B & C). SALL4 expressing clusters tended to express p53, whereas SALL4 non-expressing cells did not (Figure 2C & D). Minimal spanning trees (MSTs) analysis by FlowSOM (Figure 3A) distinguished 10 meta-clusters (Figure 3B, Figure S3A), with SALL4+p53+ cells mainly present in meta-cluster 9 (Figure 3C, Figures S3 and S4). Previously, the relationship between SALL4 expression and somatic gene mutations (e.g., TP53), which are important for risk stratification and identification of disease drivers, had not been well explored in MDS patients. Using concomitant WES data, we were able to gain further insights into the relationship between the TP53 mutation status and SALL4/TP53 co-expression in MDS patients. Notably, both patients number 1 and number 2, who had the highest fractions of SALL4/TP53 double positive cells, harbored pathogenic loss-of-function TP53 mutations in the DNA binding domain (Table 1). For patient NO.7, the p.V173* mutation was a frameshift variant that likely resulted in nonsense mediated decay and reduced/absent TP53 protein expression. Thus, it was not surprising that a significantly smaller fraction of SALL4/TP53 positive cells was detected in patient NO.7 despite the presence of a deleterious TP53 mutation. Using the TCGA AML dataset, we found that TP53 mutations are enriched in patients having high SALL4 expression (Figure S5). The mechanistic interplay between SALL4 and TP53 requires further investigation. The identification of MDS-clones in MDS patients that may progress to AML is of great importance for the treatment of this disease. While SALL4, when constitutively expressed, has been shown to cause MDS/AML in a murine model, the cellular identity of aberrant SALL4 in human MDS remains unknown. Utilizing state-of-the-art single cell mass cytometry and paired Whole Exome Sequencing, our study has, for the first time, identified aberrant expression of SALL4 in hematopoietic stem/progenitor cells and myeloid lineage cells in human MDS patient bone marrow samples. Additionally, we observed a significant SALL4+p53+ cluster in the MDS bone marrow, particularly prominent in patients with pathogenic TP53 mutations. Our study provides a foundation for future investigations into the mechanisms and therapeutic targeting of SALL4 in the pathologic lineages of MDS, with potential prognostic and therapeutic implications. This work was supported in JSPS KAKENHI (grant numbers: 17K09930 and 21K08420 (To H.T). This work was also supported by Singapore Ministry of Health's National Medical Research Council (Singapore Translational Research (STaR) Investigator Award, D.G.T.; grant number: NMRC/OFIRG/0064/2017.); Singapore Ministry of Education under its Research Centres of Excellence initiative; NIH/NCI, grant numbers: R35CA197697 and NIH/NHLBI P01HL131477 (D.G.T); as well as Xiu research fund,AGA/Jenzabar research fund and NIH/NHLBI P01HL158688 (L.C.). The authors acknowledge Kiyota Akifumi for assistance of CyTOF and Miho Matsumoto and Hiroto Takeya for technical assistance. H.T. has received honoraria from Meiji Seika Pharma, Takeda Pharmaceutical, Novartis International, Bristol Myers Squibb, Chugai Pharmaceutical, Eisai, Ono Pharmaceutical, SymBio Pharmaceuticals Limited and patents, and royalties from Mesoblast. L.C and D.G.T also receive royalties from Mesoblast. Other authors have no conflict of interest to disclose. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,237
Score d'incertitude au seuil0,355

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,034
Tête enseignante GPT0,322
Écart entre enseignants0,288 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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