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Record W2588961417 · doi:10.1182/blood.v112.11.297.297

Growth Factor Independence 1 (Gfi1) Is An Essential Factor for the Development of Lymphoma

2008· article· en· W2588961417 on OpenAlexaff
Cyrus Khandanpour, Ehssan Sharif- Askari, Paul Jolicoeur, Ulrich Duehrsen, Tarik Möröy

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBlood disorders and treatments
Canadian institutionsMontreal Clinical Research Institute
Fundersnot available
KeywordsLymphomaCancer researchBiologyHaematopoiesisTranscription factorLeukemiaImmunologyGeneStem cellGenetics

Abstract

fetched live from OpenAlex

Abstract Hematopoietic differentiation is controlled to a large extent by a network of transcription factors and chromatin modifiers and disruption of this system can lead to leukemia or lymphoma. One of the transcription factor genes, which is aberrantly expressed in human T-cell lymphoma is Growth Factor Independence 1 (Gfi1). Since over expression of Gfi1 can accelerate experimentally induced T-cell tumors in mice, it is likely that Gfi1 plays a crucial role in establishing or maintaining lymphoid neoplasms. To test this hypothesis we have used, N-ethyl-N-nitrosourea (ENU) to induce T-cell tumors in WT mice (Gfi1+/+), Gfi1-deficient mice (Gfi1−/−) or mice transgenically over expressing Gfi1 under the control of the pan-hematopoietic vav-promoter (vav-Gfi1). As expected, most of Gfi1+/+ mice (25/27) developed T-cell tumors and acute myeloid leukemia within 118 days. Similarly, vav-Gfi1 mice (10/10) developed T-cell lymphoma, but within a shorter latency period (88 days). In contrast, only 3/14 Gfi1−/− mice developed hematopoietic neoplasia with a prolonged median latency period of 126 days. Other approaches using infection of newborn mice with Moloney Murine leukemia virus (MoMuLV) to induce T-cell lymphoma or co expression of an Eμ-myc transgene to induce B-cell lymphoma showed a similar dependency of tumor formation on the presence and expression of Gfi1. Closer analysis of tumors forming in Gfi1−/− mice demonstrated that Gfi1 deficiency correlated with a smaller size of the tumors and a noticeably increased rate of cell death within the tumor samples. This pointed to a potential role of Gfi1 in the regulation of apoptosis. To explore this hypothesis, we exposed both thymocytes and hematopoietic stem cells (Lin-, Sca1+, c-kit+, LSK) to ENU or gamma-irradiation in vitro. We could observe that Gfi1−/− thymocytes and stem cells (LSK cells) have a higher rate of cell death following exposure to these DNA damage inducing agents in vitro than the WT controls. To validate these results, we recapitulated these experiments in vivo. Gfi1−/− mice exhibited severe bone marrow failure and a more pronounced loss of hematopoietic stem cells (LSK) than Gfi1+/+ mice after ENU treatment or gamma irradiation in vivo. To explore this mechanism on the molecular basis we evaluated expression of the different pro and antiapoptotic components in Gfi1+/+ and Gfi1−/− thymocytes after irradiation. Strikingly, Gfi1−/− thymocytes expressed higher levels of the pro-apoptotic proteins such as Bax and Noxa and lower levels of the CDK inhibitor p21WAF than WT thymocytes following induction of DNA damage. Our model would be that Gfi1 represents a new regulator in the cellular response to DNA damage in the hematopoietic system by inhibiting different proapoptotic factors. We propose that Gfi1 is essential for the development of lymphoid and potentially myeloid neoplasms by inhibiting apoptosis. We suggest that Gfi1 could represent a possible new target structure for therapeutic intervention.

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 score0.001
Threshold uncertainty score0.005

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.246
Teacher spread0.228 · 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
Published2008
Admission routes1
Has abstractyes

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