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Enregistrement W2913322643 · doi:10.1182/blood-2018-99-115370

Slit-Robo Pathway Is Clinically Relevant and May Represent a Potential Target in Acute Promyelocytic Leukemia

2018· article· en· W2913322643 sur OpenAlexaff
Isabel Weinhäuser, Diego A. Pereira‐Martins, César Alexander Ortiz Rojas, Josiane Lilian dos Santos Schiavinato, Camila Bonaldo, Luisa C A Koury, Virgínia Mara de Deus Wagatsuma, Raul Antônio Morais Melo, Rosane Bittencourt, Kátia Bórgia Barbosa Pagnano, Evandro M. Fagundes, Ana Glória, Fábio R. Kerbauy, Maria de Lourdes Chauffaille, Ricardo Pasqüini, Martin S. Tallman, Raul C. Ribeiro, Richard Dillon, Armand Keating, Arnold Ganser, Bob Löwenberg, Peter J.M. Valk, Francesco Lo‐Coco, Miguel Á. Sanz, Nancy Berliner, Antonio R. Lucena‐Araujo, Eduardo Magalhães Rego

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueRetinoids in leukemia and cellular processes
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésAcute promyelocytic leukemiaCancer researchArsenic trioxideAnnexin A5Promyelocytic leukemia proteinMedicineBone marrowDifferentiation therapyCell growthCell cycleProgenitor cellLeukemiaImmunologyStem cellApoptosisBiologyCell cultureAnnexinInternal medicineCancerCell biologyFlow cytometry

Résumé

récupéré en direct d'OpenAlex

Abstract Background: The Slit-Robo pathway has been shown to participate in the pathogenesis of several malignant diseases in addition to its physiologic role during the development of the central nervous system (CNS). However, the relevance of the Slit-Robo pathway in acute promyelocytic leukemia (APL) is presently unknown. We investigated the status of the Slit-Robo pathway in APL following the recent demonstration by Amodeo et al (CellRep. 2017) that the PML protein induces neural stem/progenitor cells migration by inhibiting the SLIT2 gene, which was associated with an increased presence of H3K27me3 in the SLIT2 promotor region. Moreover, sensitivity towards the PML-targeting drug arsenic trioxide in primary glioblastoma cells was shown to be regulated by the PML/SLIT axis. Aims: Here, we quantified SLIT2 transcript levels in bone marrow (BM) samples from APL patients and healthy subjects and determined whether they are associated with clinical and laboratory features at diagnosis and treatment outcomes. In addition, we evaluated the effect of increased SLIT2 protein on leukemic cell survival, proliferation and clonogenecity. Methods: Cell cycle distribution, proliferation index (Ki-67/proliferation curve), colony formation and rate of apoptotic cells (annexin V/PI) were evaluated in both APL cell lines NB4 (ATRA-sensitive), NB4R2 (ATRA- resistant) and four primary APL samples following the treatment with the human recombinant SLIT2 protein (50 ng/ml) for 24 to 72 hours. In addition, 88 patients (age, 18-73y) with newly diagnosed APL enrolled in the International Consortium on Acute Leukemia (ICAL) study - ICAPL2006 were included. For comparison, BM mononuclear cells from five healthy volunteers (age, 18-60y) were also included. SLIT2 transcripts was determined by qPCR and expressed as comparative Ct method. Patients were dichotomized into "low" and "high" SLIT2 expression groups using a cut off value of 1.53 based on survival receiver operating characteristic (ROC) curve and the C index analyses. The following parameters were used to evaluate treatment outcome: complete hematological remission (CHR); 5-year Disease-Free Survival (DFS) and 5-year Overall Survival (OS) rates. Results: At the end of the sixth day, in vitro treatment with SLIT2 significantly reduced the proliferation rate (P=.01) and clonogenicity (P=.01) in primary APL samples, while significantly increasing the apoptotic rate after 72 hours treatment with SLIT2 (P=.03). In accordance, SLIT2 treatment decreased cell proliferation and clonogenicity (all P<.01) and increased the drug-induced apoptosis in a time-dependent manner in NB4 and NB4R2 cells (P<.01). Cell cycle analysis revealed that the cell cycle was arrested in the S-phase (P=.001) with a reduction of the G2/M phase (P=.001) in NB4 after 72 hours of treatment but no such impact was observed on NB4R2. In the clinical setting, patients with APL had a higher-than-normal expression of SLIT2 (6.7-fold higher than BMMC; P=.01). Baseline characteristics were similar between patients with low and high SLIT2 levels, except for a higher white blood cell count in patients with low SLIT2 expression (P=.024). Overall, 80/94 (85%) patients achieved complete hematological remission (CR). SLIT2 transcript levels had no impact on CR rate (P=.099). The estimated 5y DFS and the CIR rates were 87% (95% CI: 80-92%) and 12% (95% CI: 7-17%), respectively. Patients with low SLIT2 expression presented a lower 5y DFS rate (79%, 95% CI: 48-92%) than those with high SLIT2 expression (96%, 95% CI: 64-97%) (P=.026). In addition, patients with low SLIT2 expression exhibited an enhanced CIR rate compared to high SLIT2 expression (21% vs 11%) (P=.03). With a median follow up of 32 months (1-101 months), the estimated 5y OS rate was 79% (95% CI: 72-84%). Patients with lower SLIT2 expression had a lower 5y OS rate (68%, 95% CI: 45-83%) compared to those with higher SLIT2 expression (84%, 95% CI: 73-91%) (P=.008). This result was consistent with the multivariable proportional hazards analysis (HR: 1.02; 95% CI: 1.01-1.03; P=.001). Conclusion: Our results suggest that SLIT2 transcript levels may predict outcomes in APL patients treated with ATRA and anthracycline-based chemotherapy. Our data show that SLIT2 treatment represses APL cell growth, colony formation and induces apoptosis in vitro and we are currently assessing the role of the Slit-Robo pathway in the hCG-PML/RARA transgenic mouse model. Disclosures Pagnano: EMS: Other: Financial support for participation in congress; Novartis: Consultancy; Shire: Other: Lecture; Abbvie: Consultancy. Tallman:Daiichi-Sankyo: Other: Advisory board; Cellerant: Research Funding; ADC Therapeutics: Research Funding; AROG: Research Funding; AbbVie: Research Funding; Orsenix: Other: Advisory board; BioSight: Other: Advisory board. Ganser:Novartis: Membership on an entity's Board of Directors or advisory committees. Lowenberg:Royal Academy of Sciences and Arts, The Netherlands: Membership on an entity's Board of Directors or advisory committees; Astex: Consultancy; Editorial Board "European Oncology & Haematology": Membership on an entity's Board of Directors or advisory committees; international Scientific Advisory Board, Institute Gustave Roussy, Paris: Membership on an entity's Board of Directors or advisory committees; Clear Creek Bio Ltd: Consultancy, Honoraria; Agios Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Editorial Board "The Netherlands Journal of Medicine": Membership on an entity's Board of Directors or advisory committees; Elected member, Royal Academy of Sciences and Arts, The Netherlands: Membership on an entity's Board of Directors or advisory committees; Editorial Board "International Journal of Hematology": Membership on an entity's Board of Directors or advisory committees; Supervisory Board, National Comprehensive Cancer Center (IKNL), Netherlands: Membership on an entity's Board of Directors or advisory committees; Chairman Scientific Committee and Member Executive Committee, European School of Hematology (ESH, Paris, France): Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Chairman, Leukemia Cooperative Trial Group HOVON (Netherlands): Membership on an entity's Board of Directors or advisory committees; "Up-to-Date", section editor leukemia: Membership on an entity's Board of Directors or advisory committees.

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: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,733

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 recherche0,0000,000
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 Opus0,007
Tête enseignante GPT0,253
Écart entre enseignants0,246 · 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'étudeExpérimental (laboratoire)
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

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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