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Record W2657389501 · doi:10.1007/978-1-4939-7021-6_15

Analysis of Breast Cancer Cell Invasion Using an Organotypic Culture System

2017· article· en· W2657389501 on OpenAlexfundno aff
Romana Ranftl, Fernando Calvo

Bibliographic record

VenueMethods in molecular biology · 2017
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsnot available
FundersInstitute of GeneticsDiamantina Institute, University of QueenslandSydney Medical SchoolLeibniz-GemeinschaftHansjörg Wyss Institute for Biologically Inspired Engineering, Harvard UniversityUniversity of Michigan Comprehensive Cancer CenterUniversität InnsbruckLékařská fakulta, Masarykova univerzitaDepartment of Obstetrics, Gynecology and Reproductive Sciences, University of PittsburghMasarykova UniverzitaUniversité de Recherche Paris Sciences et LettresWuhan University of TechnologyUniversità degli Studi di BresciaCentral European Institute of TechnologyMedizinische Universität InnsbruckMassachusetts Institute of TechnologyWuhan UniversityTechnische Universität MünchenUniversiteit UtrechtTurun YliopistoDeutsches KrebsforschungszentrumCentre National de la Recherche ScientifiqueVysoké Učení Technické v BrněUniversity of QueenslandÉcole Polytechnique Fédérale de LausanneQueensland University of TechnologyDeutschen Konsortium für Translationale KrebsforschungMagee-Womens Research InstituteCancer Research UKPohang University of Science and TechnologyUniversity of California, IrvineKoch Institute for Integrative Cancer Research, Massachusetts Institute of TechnologyUniversity of South CarolinaTulane UniversityLeibniz-Institut für Polymerforschung DresdenUniversitätsklinikum RegensburgEdwards LifesciencesHarvard Stem Cell InstituteRensselaer Polytechnic InstituteUniversity of Pittsburgh
KeywordsStromal cellMetastasisStromaCancer cellExtracellular matrixCancerBreast cancerCancer researchBiologyTumor microenvironmentCellCancer-Associated FibroblastsPathologyTumor cellsMedicineCell biologyImmunohistochemistryGenetics

Abstract

fetched live from OpenAlex

Metastasis is the main cause of cancer patient mortality. Local tumor invasion is a key step in metastatic dissemination whereby cancer cells dislodge from primary tumors, migrate through the peritumoral stroma and reach the circulation. This is a highly dynamic process occurring in three dimensions that involves interactions between tumor, stromal cells, and the extracellular matrix. Here we describe the organotypic culture system and its utility to study breast cancer cell invasion induced by cancer-associated fibroblasts. This is a three-dimensional model that reproduces the biochemical and physiological properties of real tissue and allows for investigating the molecular and cellular mechanisms involving tumor and its microenvironment, and their contribution to cancer cell invasion . This system provides a robust, accurate, and reproducible method for measuring cancer cell invasion and represents a valuable tool to improve the mechanistic understanding of the initial steps in metastasis .

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)0.001
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: Methods · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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

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 head0.050
GPT teacher head0.436
Teacher spread0.386 · 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
GenreMethods

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

Citations9
Published2017
Admission routes1
Has abstractyes

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