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Abstract LB-51: Pten null prostate tumorigenesis and prostate stem cell activity are inhibited by targeted knockout of the Survivin gene

2011· article· en· W2318021381 on OpenAlexaff
Helty Adisetiyo, Mengmeng Liang, Chun‐Peng Liao, Ari Aycock-Williams, Michael B. Cohen, Edward M. Conway, Pradip Roy‐Burman

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPTENSurvivinTrampProstate cancerProstateConditional gene knockoutCancer researchCarcinogenesisCancerIntraepithelial neoplasiaBiologyKnockout mouseHyperplasiaPathologyMedicineInternal medicineApoptosisGenePI3K/AKT/mTOR pathwayGeneticsPhenotype

Abstract

fetched live from OpenAlex

Abstract Survivin, a member of the inhibitor of apoptosis family, is highly expressed in various cancers including prostate cancer. In the conditional Pten deletion mouse model, we showed a correlation between increased levels of survivin with the growth of the prostate tumor (Cancer Res. 66: 4285–90, 2006), and more recently described that high levels of survivin might also be associated with the cancer stem cells of this model (Cancer Res. 70: 7294–303, 2010). Here we report that homozygous deletion of the Survivin gene specifically in mouse prostate epithelium suppresses prostate tumorigenesis without affecting postnatal prostate development and growth. Mouse prostates with double conditional knockout of Survivin and Pten that were collected at 8.5 weeks of age appear to exhibit normal gross morphology, histology and cytology, in contrast to the detection of hyperplasia, dysplasia and prostatic intraepithelial neoplasia (PIN) lesions in mouse prostates with bi-allelic Pten inactivation. While the mice with Pten deletion alone uniformly develop numerous invasive adenocarcinoma lesions in all of the prostate lobes by 17–20 weeks of age, our analysis to date of a single double knockout animal at 17 weeks reveals mostly PIN lesions in the anterior and the ventral prostate lobes with the dorsolateral lobe exhibiting detectable foci of adenocarcinoma. As the animals age, increased number of animals at this age and other advancing age groups remain to be evaluated for the significance of this observation and the possibility that the isolated lesions detected in the double knockout might be related to incomplete recombination in Survivin alleles in the target cells remains to be tested. In general, we observe a dramatic reduction in the proliferation index, as assessed by Ki67 staining, in the prostate tissue with the double deletion of Pten and Survivin compared to Pten deletion alone. We propose that survival of the proliferating abnormal cells is compromised by the intracellular loss of survivin. We used adenovirus-Cre to knock-out Survivin in stem cell fractions isolated from the prostate of the normal mouse with floxed Survivin alleles. It is very interesting to find that loss of survivin significantly lowers in vitro proliferation, spheroid-forming capability and survival potential of these cells, implicating a strong cytoprotective role of survivin for the prostate stem cells. Thus, it would now be important to extend the study for evaluation of the function of survivin in the prostate cancer stem cells, a compartment that may indeed be critical to the process of prostate tumorigenesis. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr LB-51. doi:10.1158/1538-7445.AM2011-LB-51

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.037
GPT teacher head0.296
Teacher spread0.259 · 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
Published2011
Admission routes1
Has abstractyes

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