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Record 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 on 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

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsAcute promyelocytic leukemiaCancer researchArsenic trioxideAnnexin A5Promyelocytic leukemia proteinMedicineBone marrowDifferentiation therapyCell growthCell cycleProgenitor cellLeukemiaImmunologyStem cellApoptosisBiologyCell cultureAnnexinInternal medicineCancerCell biologyFlow cytometry

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.253
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2018
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