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Record W2069294265 · doi:10.4161/cc.25550

Connecting the dots in cutaneous T cell lymphoma (CTCL): STAT5 regulates malignant T cell proliferation via miR-155

2013· letter· en· W2069294265 on OpenAlex
Ivan V. Litvinov, Kevin Pehr, Denis Sasseville

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCell Cycle · 2013
Typeletter
Languageen
FieldMedicine
TopicCutaneous lymphoproliferative disorders research
Canadian institutionsMcGill University
Fundersnot available
KeywordsCutaneous T-cell lymphomaMycosis fungoidesImmunologyDiseaseLymphomaT cellCancerMedicinePsoriasisImmune systemCancer researchBiologyPathologyInternal medicine

Abstract

fetched live from OpenAlex

Cutaneous T-cell lymphomas (CTCLs) are a group of lymphoproliferative disorders affecting the skin. The etiology of CTCLs is unknown, and the pathogenesis remains elusive.1 Yet CTCL provides an interesting setting for studying the link between inflammation and cancer, since lymphocytic infiltrate is the hallmark of both. Early stages of CTCL mimic benign inflammatory disorders, including psoriasis and eczema, with malignant T cells homing to the skin. This disease usually remains indolent as isolated patches and plaques for many years, but in 10–20% of cases it can progress to form tumors and/or disseminate to lymph nodes, blood and visceral organs.1 Patients with advanced stages of CTCL often succumb to sepsis secondary to breakdown of the skin barrier function and immune suppression. Clinicians specializing in treating this cancer often face a number of important challenges. First, how to diagnose and distinguish early stages of CTCL from other benign inflammatory dermatoses? Second, how to predict which 10–20% of patients are likely to progress toward advanced stages, and, finally, how to achieve a cure of the disease with minimal toxicities? To answer these questions, better understanding of molecular CTCL carcinogenesis is urgently needed, where identified molecular players can be used as novel diagnostic/prognostic markers as well as targets for therapy. In the article by Kopp et al., the authors establish STAT5-mediated upregulation of mir-155 as an important step in CTCL carcinogenesis.2 Indeed, microRNA (miRNA) studies only recently became a prominent part of CTCL research. Specifically, Ralfkiaer et al. identified a set of miRNA classifiers that can be employed to distinguish early stages of CTCL from other benign inflammatory conditions.3 Still, unfortunately, functional data on miRNA remains sparse and has only begun to emerge in the last few years. miR-155 was recently highlighted as being upregulated in CTCL.3 This gene is a well-studied miRNA that is crucial for inflammation and is often overexpressed in various cancers. In their seminal article Kopp et al. discovered a link between miR-155 expression and JAK/STAT signaling in CTCL.2 They provide evidence that miR-155 is induced via transcription factor STAT5 through either cytokine (IL-2/IL-15)-dependent or constitutive activation in malignant and non-malignant T cells, including PBMCs and primary CTCL cells (Fig. 1). Furthermore, they found miR-155 to be involved in malignant proliferation. Their results are intriguing, because they connect some of the major hallmarks in CTCL: an increased expression of oncomiR-155, deregulation of JAK/STAT signaling pathways, and a persistent activation of STAT transcription factors.2,4 Figure 1. STAT5 signaling trans activates miR-155 expression, which can be blocked upstream at the level of JAK kinase signaling by tofacitinib inhibitor. While aberrant activation of multiple STAT proteins has been observed in various cancers, until recently, CTCL research has primarily focused on STAT3 as the major culprit in the effects of aberrant JAK/STAT signaling.5 Yet several studies have also implicated STAT5 as being aberrantly activated in malignant T cells. However, little was known about downstream targets and cellular consequences of STAT5 activation in CTCL. Now Kopp et al. document that this well-described oncomiR, miR-155, is a novel downstream target of STAT5 and is involved in malignant proliferation of T cells.2 Since miR-155 has also been implicated in genomic instability in cancer, it is possible that STAT5, via induction of miR-155, also drives genomic instability, a key feature of CTCL. As mentioned above, one of the major obstacles in managing CTCL is our inability to consistently achieve cure of this cancer. Due to its heterogeneity, there is no common genetic aberration or biomarker providing a reliable therapeutic target for patients. To achieve effective cure, CTCL therapy is in need of new targets and treatment strategies. Kopp et al. showed that treatment of malignant cells with JAK inhibitor tofacitinib (CP 690 550) strongly inhibits miR-155 expression and STAT5 activation. These results suggest a therapeutic potential of JAK inhibitors. Tofacitinib is already clinically approved for treatment of rheumatoid arthritis and is now being tested in clinical trials for psoriasis.6 It would be very interesting to evaluate the potential of tofacitinib in combination with already existing therapies for CTCL. In summary, these combined results hold great potential for diagnosis and treatment of CTCL.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.395
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.013
GPT teacher head0.249
Teacher spread0.237 · 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