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Record W4256116304 · doi:10.21203/rs.3.rs-398836/v1

GSTM1 and GSTT1 Double Null Genotypes Determining Cell Fate and Proliferation as Potential Risk Factors of Relapse in Children with Hematological Malignancies after Stem Cell Transplantation.

2021· preprint· en· W4256116304 on OpenAlexaff
Simona Jurković Mlakar, Chakradhara Rao Uppugunduri Satyanarayana, Tiago Nava, Vid Mlakar, Hadrien G. Golay, Shannon Robin, Nicolas Waespe, Mohamed-Ali Rezgui, Yves Chalandon, Jaap Jan Boelens, Robbert G.M Bredius, Jean‐Hugues Dalle, Christina Peters, Selim Corbacioglu, Henrique Bittencourt, Maja Krajinović, Marc Ansari

Bibliographic record

VenueResearch Square · 2021
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlutathione Transferases and Polymorphisms
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsTransplantationNull alleleGenotypeBiologyGlutathioneNull cellProgrammed cell deathOncologyCancer researchImmunologyInternal medicineAlleleMedicineGeneticsGeneApoptosisEnzymeBiochemistry

Abstract

fetched live from OpenAlex

<title>Abstract</title> <bold>Background</bold>: Relapse is the major cause of treatment failure in children with hematological malignancies (HMs) undergoing busulfan (BU)- based allogeneic hematopoietic stem cell transplantation (HSCT). Glutathione S-transferases (GSTs) isoforms that participate in BU detoxification and protect cells against stress and cell death may be linked to post-HSCT outcomes. This study aimed to retrospectively evaluate the genetic association of <italic>null</italic> variants of Glutathione S-transferases <italic>GSTM1 </italic>and <italic>GSTT1</italic> with relapse incidence in children with HMs undergoing BU- containing allogeneic HSCT and to assess the impact of these variants on BU-induced cytotoxicity on the immortalized and tumor lymphoblastoid cell lines (LCLs).<bold>Methods</bold>: <italic>GSTM1- and GSTT1- null</italic> alleles were genotyped using germline DNA from whole blood prior to a conditioning BU-based regimen. Association of <italic>GSTM1-</italic> and <italic>GSTT1- null</italic> variants with relapse incidence was analyzed using multivariable competing risk analysis. BU-induced cell-death studies were conducted in <italic>GSTs</italic>- <italic>null</italic> and <italic>non-null</italic> LCLs and CRISPR-Cas9 gene-edited THP1 leukemia cell lines. <bold>Results</bold>: <italic>Carrying GSTM1/GSTT1 double null genotype was found to be an</italic> independent risk factor for post-HSCT relapse in 86 children (adjusted HR: 6.52 [95% Cl, 2.76 - 15.42; p= 1.9 x 10<sup>-5</sup>]). BU induced cell death preferentially in THP1<sup><italic>GSTM1(non-null)</italic></sup> and LCLs<sup><italic>GSTM1(non-null)</italic></sup> as shown by decreased viability, increased necrosis and levels of the oxidized form of glutathione compared to <italic>null</italic> cells, while <italic>GSTT1</italic> <italic>non-null</italic> cells showed increased baseline proliferation. <bold>Conclusion</bold>: The clinical association suggests that <italic>GSTM1</italic>/<italic>GSTT1 double null genotype </italic>could serve as genetic stratification biomarker for the high risk of post-HSCT relapse. Functional studies have indicated that <italic>GSTM1</italic> status modulates BU-induced cell death. On the other hand, GSTT1 is proposed to be involved in baseline cell proliferation. <bold>Trial registration</bold>: ClinicalTrials.gov identifier: NCT01257854, Registered February 2008 – retrospectively registered.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.584
Threshold uncertainty score0.783

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 head0.014
GPT teacher head0.269
Teacher spread0.254 · 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 designObservational
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".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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