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Record W2412516213 · doi:10.18632/oncoscience.293

MYC and integrins interplay in colorectal cancer

2016· article· en· W2412516213 on OpenAlexaff
Salah Boudjadi, Jean‐François Beaulieu

Bibliographic record

VenueOncoscience · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsIntegrinColorectal cancerCancer researchCancerMedicineOncologyBiologyInternal medicineReceptor

Abstract

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The proto-oncogene MYC is one of several well-known transcription factors involved in the genesis and progression of many types of cancer acting as a main regulator of the expression of genes involved in cell proliferation, invasion, apoptosis, metabolism, DNA repair and protein synthesis [1, 2]. Different mechanisms are involved in the deregulation of MYC expression in cancer including gene mutation and amplification as well as upregulation by activated upstream pathways namely WNT/APC/β-catenin and receptor tyrosine kinase(RTK)/RAS/MEK/ERK pathways [1], both frequently activated in colorectal cancer (CRC). Defects in the former pathway prevent β-catenin phosphorylation by GSK3β kinase allowing β-catenin translocation to the nucleus where it can enhance MYC transcription by binding to TCF on the MYC promoter. GSK3β inhibition also prevents MYC phosphorylation at threonine 58 preventing its degradation while MYC phosphorylation on serine 62 by ERK favors its stabilization. These two sets of events illustrate the potential regulation of MYC expression in CRC cells. The regulation of gene transcription by MYC has also been reviewed in detail [1, 2]. Essentially, MYC functions as a transcriptional regulator in association with its partner MAX; the MYC/MAX heterodimer binds to DNA in a sequence-specific manner to activate transcription. Studies over the last decade have identified and characterized several additional partners defined as the MYC/MAX/MAD network that cooperate in the modulation of MYC transcriptional activity [2]. The MYC/MAX heterodimer binds to the consensus sequence 5′-CANNTG-3′ (E box) to regulate the transcription of genes [1]. The occurrence of canonical MYC E-box motifs is high in the human genome. While they can be bound by other E box transcription factors in non-proliferating cells for basal cell metabolism, binding of the E box by MYC/MAX appears to be favoured in cells displaying high levels of MYC, leading to a change in metabolism [1]. Integrins are among the genes regulated by MYC. For instance, ITGA6, ITGB1 and ITGB4 promoters contain a canonical E box binding site for MYC. In the mouse skin, MYC represses Itga6, Itgb1 and Itgb4 expression via the formation of a complex with MIZ1, which mediates MYC repression of gene expression [3]. However, in CRC cells, MYC positively regulates ITGA6 (Groulx et al., unpublished) and ITGB4 [4] expression supporting the notion that MYC transcriptional activity is cell context-dependent. A recent study from our group identified another integrin subunit upregulated in colorectal cancer and in colorectal tumour cell lines: ITGA1 [5]. In order to find whether ITGA1 is regulated in the CRC context, in silico analysis of the ITGA1 promoter was performed and led to the identification of two E box-like response elements CAAGTG and CAGATG, which were found to be functional, as demonstrated by promoter reporter studies [5]. Indeed, in cellulo experiments showed that forced expression of MYC enhances activity of the ITGA1 promoter while co-expression of MYC and MAD or disruption of one of the response elements identified on the promoter reduces it. The functionality of this link was confirmed by the binding of MYC to the ITGA1 promoter in the native chromatin of CRC cells [5]. Furthermore, pharmacological MYC inhibition or shRNA knockdown resulted in a drastic reduction in ITGA1 expression at both the protein and mRNA levels in three distinct CRC cell lines. The functional relevance of these data suggesting that MYC regulates ITGA1 expression at the transcriptional level was strengthened by the finding that MYC and ITGA1 protein expressions are found to be correlated in more than 72% of the colorectal tumour samples analyzed [5]. In the CRC context, as summarized in Figure ​Figure1,1, deregulation of the WNT/APC/β-catenin and RTK/RAS/MEK/ERK pathways both enhance MYC expression and protein stabilization (Figure ​(Figure1,1, steps 1 and 2) [1]. MYC can then dimerize with MAX to bind E boxes to regulate the transcription of many genes [2] among which are the integrin subunit mRNAs ITGA1, ITGA6 and ITGB4 (Step 3) [4, 5] resulting in the up-regulation of integrin α1β1 and α6β4 in its α6Aβ4 form, which can further activate the RAS/MEK/ERK pathway (Step 4) and promote β-catenin signaling by stabilizing the GSK3β inhibitor Dishevelled (Step 5) [6] to enhance MYC expression (Steps 1-2). This suggests the existence of a potential positive feedback loop for sustaining MYC and integrin activity and strengthens their involvement in cancer progression. In this context, it is noteworthy that the α6Bβ4 integrin, the other form of α6β4 that is not increased in CRC cells [6, 7], was found to inhibit CRC cell proliferation and MYC activity, an effect that was explained by the fact that the α6B subunit tail can bind to the MYC inhibitor protein bridging integrator-1 (BIN1) [7] (Step 6). Further understanding of this interplay between MYC and some of these integrins should lead to the development of new therapeutic strategies for specifically targeting MYC for the design of more efficient CRC treatments. Figure 1 MYC and integrin mutual regulation

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.157

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 head0.010
GPT teacher head0.282
Teacher spread0.272 · 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".

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Citations20
Published2016
Admission routes1
Has abstractyes

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