Abstract P2-09-01: MBC alliance: Coordinating metastatic research from lab bench to clinical trials
Notice bibliographique
Résumé
Abstract The Metastatic Breast Cancer (MBC) Alliance[1] consists of non-profit advocacy, funding organizations and industry partners who seek to transform and improve the lives of women and men living with MBC. There is no cure for MBC and metastasis is the cause of virtually all breast cancer deaths. One objective of the Alliance is to understand the MBC research landscape from basic lab research through translational and clinical trials, to epidemiology, quality of life and patient reported outcomes. The MBC Alliance partnered with the International Cancer Research Partnership (ICRP[2]), an alliance of governmental and charitable organizations from the USA, Canada, Europe, Australia and Japan that fund regional, national and international cancer research grants and awards. The ICRP database of member’s funded grants contains >60,000 grants since 2000, from >80 member organizations, totalling over $14 billion USD. Each project is coded to a Common Scientific Outline (CSO), a classification system of broad areas of cancer research. Objective: To review the last ten years of breast cancer research grant funding related to metastasis and clinical trials to identify the most promising molecular targets, pathways and therapeutics in development for MBC. Methods: ICRP partner-funded grants related to MBC were queried from the ICRP database and clinical trials were queried from Clinicaltrials.gov and breastcancertrials.org. We also conducted interviews with 75 experts including advocates, scientists, clinicians, and leaders of professional societies and cooperative groups. The database searches resulted in a pool of 150 open clinical trials for MBC and 17,985 breast cancer-relevant grant awards. Relevant grant awards and clinical trials were then coded with the assistance of keywords and manual review, to one or more, of 6 categories relevant to the hallmarks of cancer (Hanahan & Weinberg[4]) and metastasis (Steeg[5]). Results: The ICRP database contained 2,250 unique awards related to MBC. The awards are predominantly basic research (70%) and translational (24%) and that profile has not changed significantly over a 5-year period 2008-2012. Awards active in 2012/2013 show that the main areas of focus are: i) early steps to invasion (10%) and, ii) metastatic colonization (15%). Data from 130 trials have been assigned to the Hanahan/Weinberg framework: sustaining proliferative signal, resisting cell death, enabling replicative mortality, genome instability and mutation, tumor promoting inflammation, activating invasion and metastasis, avoiding immune destruction, and other categories like cancer stem cells. Within these categories, the molecular targets of the drugs being used in the trial were further subdivided (e.g., PI3, RAF, CDK). Of the trials analyzed, 71 were Ph I or PhI/II, 47 Ph II and 11 Ph III. Conclusion: Using publicly available databases we were able to develop a comprehensive list of molecular targets, pathways and therapeutics for MBC that will enable improved coordination of MBC research. [1] https://www.mbcalliance.org/; [2] https://www.icrpartnership.org/index.cfm; [3] CSO 1.4 (Biology of progression) and keywords associated with metastasis.; [4] Hanahan D and Weinberg RA, Cell 2011;144:646-674.; [5] Steeg PS. Nature Medicine 2006;12(8)895-904. Citation Format: Marc S Hurlbert, Musa Mayer, Stephanie Reffey, Elly Cohen, Susan Colen, Samantha Finstad, Katherine McKenzie, Alison Butt, Ginny Mason, Lynne Davies. MBC alliance: Coordinating metastatic research from lab bench to clinical trials [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P2-09-01.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,162 | 0,172 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,006 |
| Études des sciences et des technologies | 0,005 | 0,002 |
| Communication savante | 0,013 | 0,008 |
| Science ouverte | 0,004 | 0,011 |
| Intégrité de la recherche | 0,005 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,078 | 0,045 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».