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Record W4407976740 · doi:10.1016/j.jtct.2025.01.039

Reni-Cel, an Investigational AsCas12a Gene-Edited Cell Medicine, Led to Sustained Hemoglobin Normalization and Increased Fetal Hemoglobin in Patients with Severe Sickle Cell Disease Treated in the RUBY Trial

2025· article· en· W4407976740 on OpenAlexaff
Mark C. Walters, Haydar Frangoul, Christopher McKinney, Luis Piñeiro, Markus Y. Mapara, Jignesh Dalal, Hemalatha G. Rangarajan, Harold Atkins, Kai‐Hsin Chang, Michael Jaskolka, Keunpyo Kim, Baisong Mei, Olubunmi Afonja, Rabi Hanna

Bibliographic record

VenueTransplantation and Cellular Therapy · 2025
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsFetal hemoglobinHemoglobinMedicineDiseaseHemoglobin sCellNormalization (sociology)Clinical trialInternal medicineFetusSickle cell anemiaChemistryPregnancyBiologyBiochemistryGenetics

Abstract

fetched live from OpenAlex

Introduction Sickle cell disease (SCD) complications, including vaso-occlusive events (VOEs), are reduced when fetal hemoglobin (HbF, α2γ2) is durably increased. Renizgamglogene autogedtemcel (reni-cel), an investigational gene-edited autologous hematopoietic stem cell therapy, is comprised of CD34 + cells edited at the γ-globin gene ( HBG1/2 ) promoters with a highly efficient and specific, proprietary gene-editing nuclease, AsCas12a. These edits mimic naturally occurring variants of hereditary persistence of HbF. In preclinical studies, editing CD34 + cells from patients with SCD at this genomic region led to robust HbF production and significantly reduced sickling in erythroid lineage cells. The ongoing RUBY trial (NCT04853576) is a Phase I/II/III, multicenter, open label, single arm study evaluating safety, tolerability, and efficacy of reni-cel in patients with severe SCD. Methods Participants (pts) 12–50 years (yrs) of age who have severe SCD, defined as ≥2 severe VOEs/yr in the 2 yrs before consent, are eligible. Autologous CD34 + hematopoietic stem and progenitor cells are mobilized using plerixafor, collected, and edited at the HBG1/2 promoters. After myeloablative conditioning with busulfan, pts receive a single infusion of reni-cel (≥3 × 10 6 CD34 + cells/kg) and are monitored for 24 months (mos). Results As of June 28, 2024, 21 pts received reni-cel and were a median (range) of 8.0 (0.6–24.1) mos post-reni-cel infusion; 7 pts had >1 yr follow-up. Median (range) days to neutrophil and platelet engraftment was 23.0 (15–29) and 24.5 (18–51) days, respectively (n=20). At Mo 6, mean (standard deviation [SD]) total hemoglobin (Hb) was 14.2 (2.0) g/dL (n=10) and HbF was 48.2% (3.4%; n=12). These levels were the same or higher through last follow-up. The % F-cell and mean HbF concentration/F-cell (MCH-F/F-cell) increased early. The MCH-F/F-cell ratio was >10 pg/F-cell through last follow-up. Hemolysis markers improved or normalized by Mo 6 and were generally maintained over time. No pts experienced VOEs post-infusion compared with a mean (SD) of 4.9 (2.8) severe VOEs/yr in the 2 yrs before enrollment (n=21). There were high levels of allelic editing at Mo 12 (mean [SD]: in peripheral blood nucleated cells [n=4], 80.9% [5.9%]; in bone marrow-derived CD34 + cells [n=3], 86.9% [4.1%]). The safety profile reflected myeloablative conditioning with busulfan. Conclusions Results with reni-cel treatment were promising, including reliable and prompt engraftment, early Hb normalization, and durable increases in HbF. The data also demonstrate improvement in hemolysis markers, sustained high levels of editing, resolution of VOEs, and a safety profile consistent with myeloablative conditioning with busulfan. These findings build on clinical evidence supporting continued investigation of reni-cel in the RUBY trial. © American Society of Hematology (2024). Reused with permission.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.216
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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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Citations1
Published2025
Admission routes1
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