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Record W2998578841 · doi:10.1016/j.ebiom.2019.11.050

ADNP (Activity Dependent Neuroprotector Homeobox): A novel oncogene driving poor prognosis in high-grade serous carcinoma

2020· article· en· W2998578841 on OpenAlexaff
Gulisa Turashvili

Bibliographic record

VenueEBioMedicine · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsCancer researchOvarian cancerSerous fluidOvarian carcinomaBiologyCarcinogenesisCancerMedicineBioinformaticsOncologyGeneticsInternal medicine

Abstract

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In this issue of EBioMedicine, Gatza and colleagues show through an integrative proteogenomic analysis of publicly available datasets that amplification and overexpression of ADNP (Activity Dependent Neuroprotector Homeobox) are associated with poor prognosis in high-grade serous carcinoma (HGSC), and further demonstrate its oncogenic potential via in vitro studies [[1]Karagoz K. Mehta G.A. Khella C.A. Khanna P. Gatza M.L. Integrative proteogenomic analyses of human tumours identifies ADNP as a novel oncogenic mediator of cell cycle progression in high-grade serous ovarian cancer with poor prognosis.EBioMedicine. 2019; Summary Full Text Full Text PDF PubMed Scopus (12) Google Scholar]. HGSC is the most common histologic subtype of ovarian carcinoma typically presenting at advanced stage and accounting for most deaths from ovarian cancer [[2]Kurman R.J. Shih Ie M. The dualistic model of ovarian carcinogenesis: revisited, revised, and expanded.Am J Pathol. 2016; 186: 733-747Summary Full Text Full Text PDF PubMed Google Scholar]. Nearly all HGSCs exhibit TP53 mutations, DNA copy number alterations and multiple subchromosomal aberrations, most frequently MYC, PIK3CA, AKT1 and NOTCH3 amplification, and dysregulation of Rb/E2F, Ras/PI3K and FoxM1 pathways [[3]Cancer Genome Atlas Research NIntegrated genomic analyses of ovarian carcinoma.Nature. 2011; 474: 609-615Crossref PubMed Scopus (5413) Google Scholar,[4]Ciriello G. Miller M.L. Aksoy B.A. Senbabaoglu Y. Schultz N. Sander C. Emerging landscape of oncogenic signatures across human cancers.Nat Genet. 2013; 45: 1127-1133Crossref PubMed Scopus (905) Google Scholar]. Unfortunately, inhibition of these pathways has not been effective in clinical trials [[5]Cortez A.J. Tudrej P. Kujawa K.A. Lisowska K.M. Advances in ovarian cancer therapy.Cancer Chemother Pharmacol. 2018; 81: 17-38Crossref PubMed Scopus (315) Google Scholar], and there are conflicting results for the prognostic significance of molecular subtypes of HGSC [[3]Cancer Genome Atlas Research NIntegrated genomic analyses of ovarian carcinoma.Nature. 2011; 474: 609-615Crossref PubMed Scopus (5413) Google Scholar,[6]Zhang H. Liu T. Zhang Z. Payne S.H. Zhang B. McDermott J.E. et al.Integrated proteogenomic characterization of human high-grade serous ovarian cancer.Cell. 2016; 166: 755-765Summary Full Text Full Text PDF PubMed Scopus (561) Google Scholar,[7]Tothill R.W. Tinker A.V. George J. Brown R. Fox S.B. Lade S. et al.Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.Clin Cancer Res. 2008; 14: 5198-5208Crossref PubMed Scopus (1028) Google Scholar]. Therefore, identification of novel oncogenes such as ADNP is essential in the discovery of much needed new prognostic and predictive markers in HGSC. The Gatza group applied the Poor Prognosis Signature (PPS) by the Cancer Genome Atlas (TCGA) Project [[3]Cancer Genome Atlas Research NIntegrated genomic analyses of ovarian carcinoma.Nature. 2011; 474: 609-615Crossref PubMed Scopus (5413) Google Scholar] to three independent datasets [[3]Cancer Genome Atlas Research NIntegrated genomic analyses of ovarian carcinoma.Nature. 2011; 474: 609-615Crossref PubMed Scopus (5413) Google Scholar,[7]Tothill R.W. Tinker A.V. George J. Brown R. Fox S.B. Lade S. et al.Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.Clin Cancer Res. 2008; 14: 5198-5208Crossref PubMed Scopus (1028) Google Scholar,[8]Yoshihara K. Tsunoda T. Shigemizu D. Fujiwara H. Hatae M. Fujiwara H. et al.High-risk ovarian cancer based on 126-gene expression signature is uniquely characterized by downregulation of antigen presentation pathway.Clin Cancer Res. 2012; 18: 1374-1385Crossref PubMed Scopus (127) Google Scholar] to identify the top 10 signaling pathways associated with the PPS signature. The authors used a 3-step approach to identify functionally significant alterations. First, samples were scored to detect copy number changes associated with a high PPS score. Secondly, the correlation between mRNA or protein expression and the PPS score was assessed to determine the functional relevance of genes/proteins in each amplicon. Finally, the statistically significant candidates were compared to identify genes amplified and overexpressed at the mRNA and protein level. Of 131 genes, 39 were reproducibly correlated with the PPS score. Finally, to prioritize these 39 genes for functional studies, the Achilles RNAi proliferation screen data was assessed. By examining the essentiality of the ∼9000 genes profiled in this screen relative to PPS score in a panel of 29 ovarian cell lines, ADNP and AKAP8K were identified as genes with a high PPS transcriptome profile. Given the association of ADNP copy number status with poor prognosis, the authors focused on this gene. ADNP is a Homeobox transcription regulator which includes nine zinc-fingers essential in chromatin remodeling, microtubule/autophagy regulation, cell growth and proliferation, modulation of E2F-regulated genes and p53, SWI/SNF and PI3K/AKT signaling. ADNP has been implicated in intestinal cell growth, neurological development, autism spectrum disorders, Alzheimer's disease and cancers including sarcomas [[9]Gozes I. Yeheskel A. Pasmanik-Chor M. Activity-dependent neuroprotective protein (ADNP): a case study for highly conserved chordata-specific genes shaping the brain and mutated in cancer.J Alzheimers Dis. 2015; 45: 57-73Crossref PubMed Scopus (28) Google Scholar,[10]Zamostiano R. Pinhasov A. Gelber E. Steingart R.A. Seroussi E. Giladi E. et al.Cloning and characterization of the human activity-dependent neuroprotective protein.J Biol Chem. 2001; 276: 708-714Summary Full Text Full Text PDF PubMed Scopus (195) Google Scholar]. Gatza and colleagues demonstrated strong associations between ADNP loss and decreased expression of cell cycle genes resulting in cell cycle inhibition following ADNP silencing, as well as between ADNP overexpression and activation of these pathways in three datasets. Importantly, ADNP mRNA expression was predictive of poor overall survival. Several questions remain unresolved. The PPS signature does not contain ADNP, and it is unclear if a pathway-based analysis would identify amplification and/or overexpression of ADNP; however, Gatza and colleagues demonstrated that ADNP mRNA expression consistently corresponds with a panel of proliferation and proliferation-associated gene expression signatures and cell cycle proteins. Furthermore, despite the strong association of ADNP expression with cell cycle alteration, effects of ADNP silencing varied among ovarian cancer cell lines: ADNP loss led to G1/S checkpoint arrest in OVCAR3 and G2/M checkpoint arrest in OVCAR5. Given that ADNP loss results in decreased expression of CDC25A which regulates CDK2/Cyclin E activity at the G1/S checkpoint and CDK1/Cyclin B activity at the G2/M checkpoint, the authors speculate that CDC25A activation in combination with other co-factors may be important in ADNP-mediated regulation of the cell cycle. Additionally, some of the findings of the study are somewhat contradictory to the existing literature. ADNP has been suggested to act as a tumor suppressor in triple-negative breast cancer, and either tumor suppressor or oncogene in colorectal cancer. Although Gatza and colleagues show that ADNP is an oncogenic mediator of cell cycle progression in HGSC, it is certainly plausible that ADNP may have a tissue-specific or dichotomous role in carcinogenesis. It is even possible that modulating the ADNP expression level in ovarian cancer cell lines changes the functional properties of these cells simply because the ADNP gene product is involved in the cell cycle. Nevertheless, in silico and in vitro data by Gatza and colleagues support an oncogenic role and prognostic potential of ADNP in HGSC. Additional studies are warranted to determine the effect of targeting ADNP in normal cell lines to determine the transformative capacity of ADNP, and to elucidate the mechanisms and context of ADNP-mediated tumor cell growth and survival in HGSC. The author declares no conflict of interest. The author apologizes to the many researchers whose work is not specifically referenced due to space limitations. Integrative proteogenomic analyses of human tumours identifies ADNP as a novel oncogenic mediator of cell cycle progression in high-grade serous ovarian cancer with poor prognosisWe identified ADNP as being amplified and overexpressed in poor prognosis HGSOC in silico analyses and demonstrated that ADNP is a novel and essential oncogene in HGSOC which mediates proliferation through dysregulation of cell cycle checkpoints in vitro. Full-Text PDF Open Access

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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 score0.212
Threshold uncertainty score0.707

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 head0.021
GPT teacher head0.249
Teacher spread0.227 · 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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Citations2
Published2020
Admission routes1
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