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Record W2479615790 · doi:10.1158/1538-7445.am2016-5056

Abstract 5056: RET-mediated invasion in three-dimensional microenvironment models

2016· article· en· W2479615790 on OpenAlexaff
Sarah M. Maritan, Eric Lian, Lois M. Mulligan

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsQueen's University
Fundersnot available
KeywordsGlial cell line-derived neurotrophic factorCancer researchBiologyReceptor tyrosine kinaseMetastasisIntegrinCell biologyStromal cellTumor microenvironmentPI3K/AKT/mTOR pathwaySignal transductionNeurotrophic factorsReceptorCancer

Abstract

fetched live from OpenAlex

Abstract RET is a receptor tyrosine kinase expressed in cells derived from the neural crest. RET activation and signalling is mediated by soluble ligands of the Glial Cell-Derived Neurotrophic Factor (GDNF) family. RET signalling plays critical roles during embryogenesis, mediating directional cell migration, proliferation, and survival. In addition to its normal developmental roles, oncogenic mutations or aberrant expression of RET are also linked to tumor spread and metastasis in multiple human tumor types. Specifically, activating mutations of RET have been identified in multiple-endocrine neoplasia type 2, while expression of wildtype RET is linked to increased local invasion in breast and pancreatic tumors. Previous studies of RET-mediated invasion and metastasis have used standard 2D culture methodologies, which may not be reflective of the in vivo microenvironment. Here, we have developed an in vitro 3D model of tumor growth, invasion, and metastasis to characterize the signals critical to these processes. Using SH-SY5Y cells, a neuroblastoma cell line that endogenously expresses RET, we assessed anchorage-independent growth and invasion into a surrounding collagen matrix in response to RET stimulation with GDNF. We have quantified the contributions of several RET downstream signalling pathways by individually blocking SRC, PI3K, FAK, STAT3, MEK, and integrin β-1 signals, for their effects on RET-mediated cell growth and invasion in 3D culture. Our data demonstrate that inhibiting either PI3K or MEK decreases the invasive potential of SH-SY5Y cells in response to RET activation, while inhibition of STAT3 had little effect. We have also shown that integrin β-1, FAK or SRC inhibition completely blocked invasion, consistent with an integrin dependent mode of invasion in SH-SY5Y cells. Additionally, we showed that FAK and SRC signalling were critical for SH-SY5Y survival in 3D microenvironments. While several RET-mediated signalling pathways have been implicated in cell motility and invasion in two-dimensional culture models, our findings suggest that specific signals may differ in their importance in a three-dimensional microenvironment. We are currently using our 3D models to further characterize the contributions of RET signalling to tumor cell invasiveness. These data may provide further insight into the role of RET expression in in vivo tumor spread. Citation Format: Sarah M. Maritan, Eric Y. Lian, Lois M. Mulligan. RET-mediated invasion in three-dimensional microenvironment models. [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 5056.

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.129
GPT teacher head0.371
Teacher spread0.242 · 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
Published2016
Admission routes1
Has abstractyes

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