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Record W2494171817 · doi:10.1158/1538-7445.am2016-1145

Abstract 1145: Zhx2 promotes survival of B-cell acute lymphoblastic leukemia cell lines

2016· article· en· W2494171817 on OpenAlexaff
Namit Sharma, Huayun Hou, Michael D. Wilson, C. Jane McGlade

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsB cellBiologyTranscription factorCancer researchCell growthCell cultureCellGene silencingDownregulation and upregulationGeneImmunologyGeneticsAntibody

Abstract

fetched live from OpenAlex

Abstract Zhx2, a zinc finger containing transcription factor is frequently overexpressed in B cell malignancies including B cell acute lymphoblastic leukemia (B-ALL), however its role in development of B cell malignancies remains unknown. Previously, dysregulated activity of transcription factors due to mutation e.g. Myc or overexpression e.g. Sox11 has been shown to perturb B cell differentiation leading to malignant phenotypes, resistance to chemotherapeutics and genetic heterogeneity. Zhx2 is required for normal neuronal and erythropoietic differentiation and has been identified as a tumor suppressor in hepatocellular carcinoma. Furthermore, analysis of public databases shows that Zhx2 is highly overexpressed in several cell lines representing B cell malignancies including B cell acute lymphoblastic leukemia (B-ALL) and B cell lymphoma. Consistently, Zhx2 is also overexpressed in patient samples derived from different subtypes of B cell malignancies. Quantification of Zhx2 mRNA expression obtained from human donors showed a marked upregulation during transition from common lymphoid progenitor to Pro B-cell stage suggesting potential role in B cell differentiation. Here we report that Zhx2 is overexpressed in Philadelphia chromosome positive (Ph+) B-ALL and T-ALL cell lines as well as Ph- B-ALL cell line. Zhx2 silencing in BV-173 (Ph+ B-ALL) and CMLT1 (Ph+ T-ALL) showed enhanced apoptosis with low doses of Dasatinib, a dual Src/Abl kinase inhibitor. Furthermore, global gene promoter and gene expression analysis on Zhx2 silenced cells identified putative Zhx2 regulated genes including CREB and YY1. Both of these transcription factors have roles in B cell differentiation, survival, proliferation and are commonly deregulated in B cell malignancies. We propose that Zhx2 regulates a B cell differentiation program and that overexpression of Zhx2 could lead to blocked differentiation of B cell progenitors promoting the malignant phenotype. Therefore, Zhx2 could be exploited as a chemo-therapeutic target in B cell malignancies. Citation Format: Namit Sharma, Huayun Hou, Michael D. Wilson, Catherine Jane McGlade. Zhx2 promotes survival of B-cell acute lymphoblastic leukemia cell lines. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1145.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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)0.0030.001

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 head0.048
GPT teacher head0.364
Teacher spread0.316 · 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 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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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