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Enregistrement W1990905226 · doi:10.1186/bcr2435

Breast tumour stroma is a prognostic indicator and target for therapy

2009· article· en· W1990905226 sur OpenAlexaboutno aff
Anthony Howell, Göran Landberg, Jonas Bergh

Notice bibliographique

RevueBreast Cancer Research · 2009
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueBreast Cancer Treatment Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésStromaStromal cellBreast cancerEpitheliumBiologyPathologyCancer researchAngiogenesisDuctal carcinomaSurgical oncologyCancer cellCancerMedicineOncologyImmunohistochemistryGenetics

Résumé

récupéré en direct d'OpenAlex

The development of the breast is exquisitely sensitive to interactions between the epithelium and stroma. Experimental evidence indicates that a reduction in signalling between any of the stromal cell types (fibroblasts, macrophages, endothelial cells and adipocytes) results in reduced or absent breast development [1], although all interactions appear to be orchestrated by the epithelial cell oestrogen receptor alpha [2]. The epithelial-stromal interactions that occur in tumours are less well characterised but there is no doubt there is expansion of the stroma as well as of the epithelium during tumour development [3,4]. Recent data indicate that the prognosis after breast cancer diagnosis relates to stromal type, and experimental and clinical studies directed at modifying the stroma (for example, angiogenesis inhibitors) suggest that the stroma is a target for therapy that is worthy of further exploration Studies of separately microdissected breast stroma and epithelium from normal lobules compared with ductal carcinoma in situ (DCIS) and invasive cancer indicate that extensive changes in gene expression in both the epithelial and stromal compartments occur during cancer development. These data strongly support the hypothesis that performing microdissections can be less optimal for gene expression profiling studies or to exclude cancers with a prominent stroma. Some array-based studies have had a requirement of more than 50% of cancer cells in the biopsies taken for array profiling; this may result in exclusion of biologically important cancers. Compared with the intralobular stroma of the normal breast lobule, Ma and colleagues reported that 2,338 genes were upregulated and 1,234 genes were downregulated in the stroma of DCIS [5]. A further 76 genes were upregulated and 229 genes were downregulated in the stroma of invasive tumours, indicating that most of the changes had occurred in DCIS suggesting that paracrine and endocrine influences are driving stroma formation rather than cell interactions, since the basement membrane is largely intact in DCIS. In a similar study examining stroma separated from the epithelium, Casey and colleagues demonstrated that the major changes of gene expression were upregulation of genes for the extracellular matrix and proteases in the stroma and downregulation of cytoskeletal proteins such as keratins, tubulins and adhesion molecules leading to increased cell motility in the tumour epithelium [6]. Invasive tumours have been likened to ‘wounds that do not heal’ [7]. In order to establish whether tumours induced gene expression similar to wounds, Chang and colleagues investigated whether they expressed the genes induced by serum in fibroblasts (the equivalent of wounding) [8,9]. The expression of 422 selected genes changed by serum in tumours was associated with a poor prognosis, whereas tumours with no change tended to have a good prognosis. In this study, although the genes were produced in serum-treated fibroblasts, they could have been expressed in epithelial cells of the tumours studied. In order to assess the prognostic and predictive significance of genes strictly of stromal origin, Finak and colleagues isolated stroma from normal lobules and tumours by laser capture microdissection, and derived a 26-gene expression signature that was a poor prognostic indicator irrespective of breast tumour subtype and standard prognostic indicators and that also indicated resistance to standard treatments [10]. The stromal signature, however, has been described to be associated with a basal type of breast cancer in three independent datasets, including the Canadian study [11]. Other gene signatures derived from the whole tumour and searched for potential stromal genes were also able to detect a poor prognosis signature [12] and to detect a stromal signature that indicated failure to respond to neoadjuvant 5-fluorouracil, epirubicin, and cyclophosphamide chemotherapy [13]. More recently two groups have demonstrated downregulation of a protein (caveolin-1) that acts as a scaffold protein in cell surface pits or caveolae (important for * Correspondence: Anthony.Howell@christie.nhs.uk Breakthrough Breast Cancer Research Unit, Paterson Institute for Cancer Research, University of Manchester, The Christie NHS Foundation Trust, University Hospital of South Manchester, Manchester M20 4BX, UK Howell et al. Breast Cancer Research 2009, 11:S16 http://breast-cancer-research.com/content/11/S3/S16

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,643
Score d'incertitude au seuil0,763

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,032
Tête enseignante GPT0,362
Écart entre enseignants0,331 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations19
Publié2009
Routes d'admission1
Résumé présentoui

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