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Enregistrement W2003965107 · doi:10.1186/bcr2432

Who would have thought it! Influence on outcome of radiotherapy, Ki67 and stroma. Introduction to Session 5

2009· article· en· W2003965107 sur OpenAlexaboutno aff
Alan Rodger

Notice bibliographique

RevueBreast Cancer Research · 2009
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueBreast Cancer Treatment Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSurgical oncologySession (web analytics)StromaRadiation therapyMedicineOutcome (game theory)OncologyInternal medicineMedical physicsWorld Wide WebComputer scienceImmunohistochemistry

Résumé

récupéré en direct d'OpenAlex

In breast cancer there are clearly a number of factors that counter-intuitively influence outcome or for which there is a change, after a considerable time, in longstanding evidence that outcome was not affected. The latter is well represented by the effect of postoperative radiotherapy in early breast cancer on overall survival. There was clear evidence that such treatment reduced local recurrence risk (by about two-thirds) and risk of death from breast cancer (by one-sixth [1]), but until 1997 evidence suggested treatment would not improve overall survival. The results in that year of two randomised trials in high-risk patients showed that the addition of postmastectomy radiotherapy to adjuvant chemotherapy improved overall survival [2,3]. Ragaz argues from the updated results of these pivotal Canadian and Danish trails, from survival trends observed in British Columbia, Canada and from the data presented consistently from 1990 to 2005 by the Early Breast Cancer Trialists' Collaborative Group that this effect on outcome is real [4]. The reality is explained by the record reduction over this period in post-radiotherapy acute and late morbidity due to improved techniques and dosimetry. Ragaz also indicates that, due to lack of radiotherapy trials, there is no clarity on what needs to be irradiated, while the question of who needs to be irradiated can no longer be answered simplistically on the basis of the number of nodes involved. The histopathological extent of nodal involvement judged by the percentage of involved nodes, by the spread within a node and by the presence of extracapsular spread - all indicators of risk of systemic relapse - is more critical than the indicators of increased risk of local failure. The need for more trials in radiotherapy is underlined by the fact that this paradigm shift in attitude and assessment of benefit occurred when the results of the pivotal randomised trials were published in 1997 showing that postoperative radiotherapy could improve long-term overall survival and not just cause long-term morbidity. That a single measurement of Ki67 does predict long-term outcome is discussed by Dowsett and colleagues [5], but with the caveat that such a single assay may not deliver all of the required information. For prognosis alone, a single pretreatment assay suffices - but for predictive information, a second post-treatment assay in the neoadjuvant case is needed. Further assays offer even more information for drug development studies or of drug resistance mechanisms. While breast stroma has been of passing interest to pathologists since at least the 1960s, when elastosis was considered a possible marker of prognosis, the hypothesis that malignant epithelial cells alone are prognostic and the supporting (stromal) tissues are of no prognostic influence has generally been the focus of research and clinical interest. This no longer stands up to scrutiny. Howell and colleagues describe well how stroma is recruited by tumours, is variable from tumour to tumour, and how tumour genes may be downregulated (for adhesion) or upregulated (facilitating cell movement) [6] - all potentially affecting outcome. Stroma does not, however, integrate with other prognostic factors. Stroma is already targeted in various ways in clinical situations. Bevacizumab and the bisphosphonates are already in regular and effective use. There is, therefore, opportunity for further improvement in outcomes as other stromal targets are explored. 'Who would have thought it!' is a statement and not a question. Many did think it, and that is why the critically important trials in postmastectomy radiotherapy were carried out even though some trialists expected the old paradigm to be confirmed. Newer technologies now enable pathologists and clinicians to revisit hypotheses on stroma mooted 40 years ago. Neoadjuvant treatments also facilitate assessment of the prognostic effects of molecular and genetic factors. Clearly, it is having the thought that counts.

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 enseignants0,701
Score d'incertitude au seuil0,585

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 GPT0,402
Écart entre enseignants0,370 · 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

Citations1
Publié2009
Routes d'admission1
Résumé présentoui

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