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Abstract 3482: ZBTB7A mediates the transcriptional repression activity of androgen receptor in prostate cancer cells

2019· article· en· W4234149459 on OpenAlexaff
Dong Han, Sujun Chen, Wanting Han, Shuai Gao, Jude Owiredu, Susan Patalano, Jill A. Macoska, Hansen He, Changmeng Cai

Bibliographic record

VenueMolecular and Cellular Biology / Genetics · 2019
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsAndrogen receptorPsychological repressionProstate cancerCancer researchProstateChemistryCancerInternal medicineBiologyMedicineGeneBiochemistryGene expression

Abstract

fetched live from OpenAlex

Prostate cancer (PCa) is one of the most common cancers in men globally. While the initiation and development of PCa depend on the activity of androgen receptor (AR), a ligand-dependent transcription factor nuclear receptor, loss of expressions of the context-specific tumor suppressors are also critical events that facilitate the progression of PCa to a more malignant form, castration-resistant prostate cancer (CRPC). Zinc finger and BTB domain containing transcription repressors, such as ZBTB7A and ZBTB16, have recently been reported as tumor suppressors that play important functions to prevent the progression of PCa, and mutations and/or deep deletions of these genes can be found in over 5% of PCa patient samples. ZBTB7A, also known as LRF/POKEMON, consists of a protein-protein interacting BTB domain at N-terminus and DNA binding zinc fingers at C-terminus. Even though ZBTB7A has been identified as a proto-oncogene in some other cancer types, a recent study using a transgenic mouse model indicates that it functions as a tumor suppressor in PCa and loss of its expression can drive the development of aggressive invasive tumor in Pten-null prostate epithelial cells by bypassing the Pten-loss induced cellular senescence. In this study, using combined ChIP-seq and RNA-seq analyses in PCa cells, we have precisely mapped the binding sites of ZBTB7A and identified its directly regulated genes. Interestingly, the ZBTB7A-repressed genes were enriched for the activation function of E2F and MYC, suggesting that ZBTB7A may suppress their oncogenic activities in PCa cells. Since both ZBTB7A and ZBTB16 have been reported to negatively regulate AR signaling, we next determined how ZBTB7A chromatin binding in PCa cells globally impacts the transcriptional activity of AR. By co-analyzing the previous reported AR cistrome database in PCa cells, we showed that a significant portion of ZBTB7A binding sites overlapped with AR binding sites, particularly at promoter region. Using the unbiased Binding and Expression Target Analysis (BETA), we further showed that these ZBTB7A and AR overlapping sites were significantly associated with the repression activity of AR on gene transcription. By co-immunoprecipitation assays, we demonstrated that ZBTB7A can physically interact with AR and Rb, suggesting that ZBTB7A may be an additional component of the AR repressor complex. Moreover, we have also identified a subset of long non-coding RNAs (lncRNAs), as novel AR-repressed genes and showed that ZBTB7A contributes to the suppression activity of AR on a PCa-specific lncRNA, PCAT-1. Finally, we have also showed that ZBTB7A functions to suppress CRPC tumor growth in vitro and in vivo. Overall, our study has provided novel molecular insights for ZBTB7A function in PCa cells and demonstrated globally its critical role in mediating the transcriptional repression activity of AR.Citation Format: Dong Han, Sujun Chen, Wanting Han, Shuai Gao, Jude Owiredu, Susan C. Patalano, Jill A. Macoska, Hansen H. He, Changmeng Cai. ZBTB7A mediates the transcriptional repression activity of androgen receptor in prostate cancer cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3482.

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 score0.007
Threshold uncertainty score0.023

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)0.0070.005

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 head0.282
Teacher spread0.269 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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