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Record W2486450281 · doi:10.1158/1538-7445.am2016-698

Abstract 698: Progranulin targeting in urothelial cancer cells inhibits motility, tumor growth <i>in vitro</i> and <i>in vivo</i> and sensitizes cells to cisplatin

2016· article· en· W2486450281 on OpenAlexaff
Simone Buraschi, Shiqiong Xu, Manuela Stefanello, Igor Moskalev, Alaide Morcavallo, Marco Genua, Ryuta Tanimoto, Thomas Neill, Stephen C. Peiper, Leonard G. Gomella, Antonino Belfiore, Peter C. Black, Renato V. Iozzo, Andrea Morrione

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlutathione Transferases and Polymorphisms
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBladder cancerCancer researchCancerCisplatinMotilityMedicineIn vivoCancer cellCell growthTumor progressionUrothelial CellTissue microarrayBiologyInternal medicineChemotherapyCell biology

Abstract

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Abstract Introduction and Objective: Bladder cancer is a major public health problem and affects more than 74,000 Americans with more than 16,000 estimated deaths in 2015. The majority of deaths are due to metastatic spread, commonly to the lungs. Understanding the molecular mechanisms regulating bladder tumor cell invasion and progression toward metastases is essential for developing better therapies to treat bladder cancer patients. The growth factor progranulin has emerged in recent years as an important regulator of transformation in several cancer models. We have previously established a critical role for progranulin in bladder cancer as in fact progranulin acts as an autocrine growth factor and promote motility and invasion of invasive urothelial cancer cells. In addition, progranulin is upregulated in high grade bladder cancer tissues compared to normal tissue controls suggesting that progranulin might work as a novel biomarker with predictive value for bladder cancer progression. However, whether progranulin is important for anchorage-independent growth and in vivo tumor formation of urothelial cancer cells has not been previously established. Methods: Progranulin depletion was achieved by stably transfecting tumorigenic T24T, UMUC3 urothelial cancer cells with a plasmid expressing an anti-progranulin shRNA. Progranulin-depleted and control UMUC-3 and T24T cells were tested for motility, invasion and anchorage-independent growth by soft-agar assays. Tumor formation in vivo was assessed in various UMUC-3-derived cell lines by xenograft and orthotopic models. Sensitivity to cisplatin was assessed by cell survival curves. Progranulin expression levels in a bladder tissue microarray were analyzed by HIC. Results: Progranulin-depleted T24T and UMUC-3 cells were significantly inhibited in their ability to migrate, close a wound and invade through Matrigel compared to control cells in both serum-deprived and 1% serum media. In addition, progranulin targeting strongly reduced the ability of T24T and UMUC-3 cells to grow in anchorage-independency and form colonies in soft-agar. Significantly progranulin-depleted UMUC-3 cells were severely inhibited in tumor formation in vivo as assessed by both xenograft and orthotopic models in immunocompromised mice. Importantly, progranulin depletion sensitized UMUC-3 cells to cisplatin. Finally, progranulin levels correlated with tumor progression in bladder cancer tissues. Conclusions: Our data are translationally relevant as indicate that progranulin exerts an essential functional role in the regulation of bladder cancer progression. Thus, progranulin may constitute a novel target for therapeutic intervention in bladder tumors. In addition, progranulin may serve as novel biomarker for diagnosis and prognosis of bladder cancer. Citation Format: Simone Buraschi, Shi-Qiong Xu, Manuela Stefanello, Igor Moskalev, Alaide Morcavallo, Marco Genua, Ryuta Tanimoto, Thomas Neill, Stephen C. Peiper, Leonard G. Gomella, Antonino Belfiore, Peter C. Black, Renato V. Iozzo, Andrea Morrione. Progranulin targeting in urothelial cancer cells inhibits motility, tumor growth in vitro and in vivo and sensitizes cells to cisplatin. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 698.

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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)0.001
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 score0.003
Threshold uncertainty score0.669

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.018
GPT teacher head0.306
Teacher spread0.288 · 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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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