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Record W4230574050 · doi:10.1182/blood.v124.21.888.888

Evidence of an Oncogenic Role for Aberrant Tox Activation in Cutaneous T Cell Lymphoma

2014· article· en· W4230574050 on OpenAlexaff
Yuanshen Huang, Mingwan Su, Xiaoyan Jiang, Youwen Zhou

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicCutaneous lymphoproliferative disorders research
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsMycosis fungoidesBiologyCancer researchPathogenesisLymphomaCutaneous T-cell lymphomaSmall hairpin RNAApoptosisImmunologyGeneticsGene knockdown

Abstract

fetched live from OpenAlex

Abstract Cutaneous T cell lymphoma (CTCL) consists of two main subtypes: mycosis fungoides (MF), which primarily affects the skin; and Sézary syndrome (SS), which is characterized by the presence of circulating malignant Sézary cells. Although defective apoptosis and cell cycle progression have been implicated in CTCL disease development, the precise molecular mechanism underlying these abnormalities is only partially understood. Recently our group showed that TOX, a transcription factor transiently expressed during thymocyte development, was ectopically expressed in the malignant CD4+ T cells in MF skin lesions. Normally in mature CD4+ T cells, TOX is expressed at very low levels. Not only is TOX highly expressed in the infiltrating CD4+ T cells in MF skin lesions, but its expression levels also inversely correlate with the clinical outcome of CTCL patients. However, its involvement in other types of CTCL remains unknown and its biological effects on CTCL pathogenesis have not been explored. In this study, we sought to examine if aberrant TOX expression occurs in SS (a leukemic variant of CTCL), and whether it contributes to CTCL pathogenesis. We found that TOX expression is also enhanced significantly in primary CD4+CD7- cells from SS patients (n=12), and its enhanced transcript levels correlate with higher disease-specific mortality (P=0.039). To investigate the role of TOX in CTCL, we corrected the ectopic TOX expression by lentiviral-shRNA-mediated TOX gene knock-down in CTCL cell lines (Hut78, HH, and SZ4). In all three cell lines, this resulted in markedly increased apoptosis (measured using Annexin V apoptosis assay, 2-3 fold, P<0.05) and reduced cellular proliferation (assessed by BrdU incorporation assay and colony formation in 3D cultures, 1.5-12 fold, P<0.05). In line with these phenotypes, TOX knock-down led to an increase in cleaved caspases (3, 9) and enhanced expression of multiple cell cycle inhibitors (CDKN1B, CDKN1C). Moreover, to test the effect of TOX suppression on the tumor-inducing ability of CTCL cells in vivo, we injected TOX-suppressed cells or control CTCL cells (1x106 per injection site) subcutaneously into NOD-SCID IL2rγ null (NSG) mice and monitored local tumor formation. Control CTCL cells (Hut78, HH) induced local tumor growth in six out of six mice within 2 weeks of injection, with enlargement progressively to 1.5cm in diameter within 4 weeks of injection. In contrast, TOX silencing effectively reduced the tumor volume induced by HH cells (n=6) and abolished the tumor-forming ability of Hut78 cells (n=6). Since TOX is a DNA-binding nuclear protein, we next sought to explore the potential downstream molecular partners of TOX by performing comparative transcriptome analysis between TOX-suppressed cells and control CTCL cells (Hut78, HH). The expression of several tumor suppressor genes, including SMAD3 and FOXO3, was increased upon TOX knock-down in both Hut78 and HH cell lines. Pathway analyses of the differentially-expressed genes uncovered activation of apoptotic pathways and cell cycle arrest processes upon TOX suppression. These findings were validated using quantitative RT-PCR. In conclusion, our results indicate that ectopic expression of TOX in CTCL cells causes the proliferation/apoptosis balance to shift toward proliferation through suppression of the transcription of multiple tumor suppressors. Therefore abolishing TOX activity may be a promising treatment strategy for CTCL. Disclosures No relevant conflicts of interest to declare.

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)0.001
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 score0.030
Threshold uncertainty score0.483

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.027
GPT teacher head0.308
Teacher spread0.281 · 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".

Quick stats

Citations6
Published2014
Admission routes1
Has abstractyes

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