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Enregistrement W2883399485 · doi:10.1097/spc.0000000000000368

Improving outcome in patients with prostate and kidney cancer: heading in the right direction?

2018· editorial· en· W2883399485 sur OpenAlexaff
Fred Saad

Notice bibliographique

RevueCurrent Opinion in Supportive and Palliative Care · 2018
Typeeditorial
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueEconomic and Financial Impacts of Cancer
Établissements canadiensCentre Hospitalier de l’Université de Montréal
Organismes subventionnairesnon disponible
Mots-clésProstate cancerMedicineCancerDocetaxelKidney cancerOncologyInternal medicineImmunotherapyProstateNephrologyMetastasis

Résumé

récupéré en direct d'OpenAlex

Advances in prostate and kidney cancer are truly inspiring when one thinks of the limited options available only a few years ago. The breakthrough in kidney cancer came with the advent of tryosine kinase inhibitors, and now immunotherapy has added itself as a game changer that has drastically changed the lives of some patients. The changing landscape and the role of immunotherapy in kidney cancer is reviewed by Karakiewicz et al. (pp. 325–333). The challenge of patient selection, as well as timing and combinations, remains to be resolved, but with the intensity and quality of ongoing research, I am optimistic for the future. In personalizing our approach to cancer, one of the most exciting areas in prostate cancer at the present time is in the use of poly ADP ribose polymerase (PARP) inhibitors. The first reports of significant improvements in progression as well as survival have been seen in patients who have detectable mutational profiles that predict sensitivity to PARPi. In whom, how best to screen and when to introduce this therapeutic approach has become an intense area of research. This is elegantly reviewed by de Bono and his team (pp. 339–343). Some of the most practicing changing results for metastatic prostate cancer have been in the use of docetaxel and abiraterone in metastatic hormone-sensitive prostate cancer. Hamilou et al. (pp. 334–338) review the use of these effective agents for metastatic castration resistant prostate cancer in the metastatic hormone sensitive prostate cancer setting, which have led to truly significant improvements in survival. Again, the questions regarding who we should treat and which of the two should be used remains the recurring question. Clearly, patient and physician choice is important, but the field will need to evolve towards a biologic rationale depending on the cancer we treat rather than the profile of the drug being used. Another area of research that has been in the forefront is metastases prevention. The recent reports of two phase three clinical trials in high-risk nonmetastatic prostate cancer demonstrating significant delays in metastases has generated a lot of excitement as well as many questions. Although delaying metastases is extremely rewarding for us as clinicians, as well as for patients living with recurrent prostate cancer, we clearly need to determine, which patient will benefit from those who may be observed. This is critical for both our patients as well as the healthcare systems we live in. We need to avoid going back to an era where every prostate specific antigen rise provoked fear and generated the need for intervention. On the other hand, for patients at high risk of metastases or death early intervention with active, well-tolerated therapeutics is hugely beneficial. The challenge of establishing reliable criteria is essential, and the next wave of research will be regarding how best to manage these patients when they eventually develop resistance to these very effective agents that target the androgen receptor. Niazi et al. (pp. 351–358) and Pouliot et al. (pp. 359–365) each bring insight in new frontiers of prostate cancer. Pouliot reports on improved imaging with agents such as prostate specific membrane antigen (PSMA) that target the cancer, and allow for a more precise evaluation of disease state and extent as well as eventually for treatment response. Also exciting is the growing field of PSMA-linked therapeutics. With more precise imaging, there is also the possibility of directed therapeutics in the case of oligometastatic states of the disease. Niazi discusses how the role and effectiveness of radiation therapy in the management strategy of oligometastatic prostate cancer is still under investigation, but is growing in the real world. Finally, Delouya and Dautruche (pp. 344–350) review the management of an infrequent, but debilitating, condition such as radiation-induced hemorrhagic cystitis. This is a challenge that almost every physician dealing with pelvic cancers will encounter. Adequate and effective management is reviewed in this edition with the hopes of restoring some degree of quality in those patients who experience this complication from extremely effective therapy. Even though the risk of this complication has diminished tremendously over the years and treatment options are quite effective in most, finding ways to prevent this from happening remains a challenge. The balance between maximizing effectiveness while reducing risk at every stage of every disease we treat must remain our priority for our patients’ well-being. Acknowledgements None. Financial support and sponsorship None. Conflicts of interest Consultant and research funding: Astellas, Janssen, Sanofi, AstraZeneca, Bayer.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,016

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,010
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0020,003
Science ouverte0,0010,001
Intégrité de la recherche0,0020,005
Charge utile insuffisante (le modèle a refusé de juger)0,0030,002

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 Opus0,033
Tête enseignante GPT0,318
Écart entre enseignants0,284 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

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

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

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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