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Record W2047887604 · doi:10.1158/1538-7445.am2013-400

Abstract 400: Coordinated loss of CD9 and IGSF8 expression on the prostate cancer cell surface contributes to metastasis and hormone responsiveness.

2013· article· en· W2047887604 on OpenAlexaboutno aff
Na Li, Ladan Fazli, Estelle Li, Ralph Buttyan

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsnot available
Fundersnot available
KeywordsLNCaPGene knockdownProstate cancerTetraspaninCancer researchAndrogen receptorBiologyFetal bovine serumMetastasisCellCancerCell culture

Abstract

fetched live from OpenAlex

Abstract The tetraspanin web is a complex multi-molecular cell structure that tethers cell surface signalling proteins (i.e. integrins) to their intermediate intracellular signalling partners (i.e. small GTPases) and anchors actin filaments. Loss of certain components of the web (CD9, CD82 or CD316) are associated with increased invasive and metastatic behaviors of prostate cancer (PCa) cells and here we demonstrate that two of these tetraspanin web components, CD9 and CD316, also play a role in regulating androgen signaling in PCa cells. Additionally, we utilized human prostate cancer tissue microarrays (TMAs) containing 261 prostate/PCa specimens of differing stages, grades and states of progression (including 60 castration resistant tumors [CRPCs]) to study the relationship between CD9 and CD316 expressions and progression to CRPC. Using androgen-dependent LNCaP cells as a model, we found that androgen deprivation (AD) suppressed expression of CD9 protein and mRNA without affecting CD316 expression. FACS analysis showed that the presence of CD9 on the cell surface was coordinately reduced by AD as was cell surface CD316 which was relocalized to the cytoplasm. This effect was reversed by addition of R1881. Knockdown of CD9 or CD316 in LNCaP cells using siRNA reduced expression of androgen receptor (AR) mRNA but increased expression of PSA, an AR target gene. CD9 or CD316 knockdown also increased LNCaP growth in fetal bovine serum (FBS) containing medium but not in charcoal-stripped FBS (CS-FBS) whereas dual-knockdown further increased growth in FBS as well as in CS-FBS. TMAs immunostained for CD9 or CD316 were assessed for correlation to clinicopathological parameters. For untreated, primary tumors, CD9 and CD316 expression were inversely correlated with Gleason scores (R2=0.9612). CD9 expression was diminished during progression to metastatic (p<0.0038, compared to non-metastatic) and further in CRPC (p<0.040, compared to metastatic non-treated) disease. Conversely, CD316 expression was increased in primary (non-metastatic) as well as in metastatic untreated disease but then reduced (p<0.046) during progression to metastatic CRPC. We propose that androgen deprivation (first line therapy for advanced PCa) may potentially trigger loss of both CD9 and IGSF8 expression on the cell surface that contributes to metastatic behaviors as well as to responsiveness to androgen ablation therapies. This work is supported by the Cancer Research Society (Canada). Citation Format: Na Li, Ladan Fazli, Estelle Li, Ralph Buttyan. Coordinated loss of CD9 and IGSF8 expression on the prostate cancer cell surface contributes to metastasis and hormone responsiveness. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 400. doi:10.1158/1538-7445.AM2013-400

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)0.0000.000
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)0.0040.001

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 head0.053
GPT teacher head0.380
Teacher spread0.326 · 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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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