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Enregistrement W2151554756 · doi:10.5489/cuaj.72

Renal cell carcinoma: currently the most interesting genitourinary malignancy

2012· article· en· W2151554756 sur OpenAlexaffvenueabout
Lori Wood, Michael A.S. Jewett

Notice bibliographique

RevueCanadian Urological Association Journal · 2012
Typearticle
Langueen
DomaineMedicine
ThématiqueRenal cell carcinoma treatment
Établissements canadiensPrincess Margaret Cancer CentreDalhousie University
Organismes subventionnairesnon disponible
Mots-clésGenitourinary systemMalignancyRenal cell carcinomaCarcinomaMedicineOncologyCancer researchPathologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

As can be seen from the preceding articles in this first supplement to the Canadian Urological Association Journal, major scientific and clinical advancements have been made in the molecular characterization and management of renal cell carcinoma (RCC). Radical nephrectomy for RCC was standardized by Robson and others1 in Toronto over 40 years ago, and laparoscopic techniques began with Clayman2 over 15 years ago. Partial nephrectomy, previously condemned, seems to provide equivalent cancer control in selected cases.3 These advances, coupled with improved imaging, were the major advances that had an impact on survival until the advent of new targeted therapies. Patients who developed metastatic disease were, at most, palliated by systemic therapies. This may be changing. The next decade will prove even more exciting for all those involved in the field of RCC as new local and systemic therapy advances are developed and build on the discoveries of basic science. Questions in many areas remain unanswered. Better prognostic factors are needed to identify those patients with early-stage small tumours (now more than 50% of new cases) who could initially undergo active surveillance, delaying the need for therapy for progression of the disease. Similarly, patients with indolent metastatic disease may be better served by delayed treatment. Better definition of these patients through molecular or imaging characterization of their tumours would be a major clinical breakthrough. New, less invasive therapies with radiofrequency ablation, cryotherapy and high-intensity focused ultrasound are being used, but their long-term results are unknown, and more such therapies are under development. Laparoscopic partial nephrectomy is gradually being adopted as surgeons are trained to do this very difficult procedure. Another issue arising from the explosion of these new systemic therapies is identifying which are superior for progression-free survival, overall survival and quality of life. With the array of potential therapeutic agents — interleukin-2, interferon-α, sunitinib, sorafenib, temsirolimus, bevacizumab, RAD001 and many more to come — we need new strategies to establish their efficacy and cost-effectiveness. Conducting the requisite number of phase 3 trials to prove their superiority in terms of their statistical and clinical significance will be difficult. From previous clinical trials of RCC, it is known that phase 2 clinical trials that show higher response rates do not always translate into survival benefits for subjects in the phase 3 trial. It is also known that, despite progression-free survival being the chosen end point in recent phase 3 trials, overall survival is still the gold standard from the clinician's point of view. With the overall survival advantage of the newer systemic therapies, future phase 3 clinical trials will have to deal with the off-study crossover to second- and third-line agents. This tendency will make interpretation of the overall survival data and the ability to decipher which drugs have a true survival benefit more difficult. RCC is not the only disease site to have new-targeted therapies, so we may learn from experience with other tumours. The roles of sequential, combination, neoadjuvant and adjuvant therapy, all need to be tested. The relatively limited number of cases of the disease will make this difficult, but the cost of these agents requires evidence-based prescribing. As for second- and third-line therapy, who would ever have imagined, even 5 years ago, that a patient with metastatic RCC might have 3 or 4 lines of systemic therapy? Many questions remain. For example, what is the effectiveness of immunotherapy after failure of targeted therapy? Is sorafenib clinically beneficial for patients whose treatment with sunitinib failed, or vice versa? The answers to key questions about the efficacy of second- and third-line therapy depend on understanding the mechanisms of resistance. These answers are likely different for a patient who never responded to therapy (primary resistance) than those for a patient who responded and whose disease progressed some months later (secondary resistance). For patients with primary resistance to therapy, the intuitive conclusion is that the targeted pathway is not vital to the growth of that particular cancer. For patients with secondary resistance, it is possible that the cancer simply bypassed the targeted pathway with a new or upregulated pathway. The optimal strategy for patients with secondary resistance, then, may be offering combination therapy rather than simply switching therapies, as is done for those with primary resistance. It may be worthwhile to look to our colleagues who treat gastrointestinal stromal tumours for answers. The example of the failure of treatment with imatinib mesylate (Gleevec) is instructive.4,5 The rapid clinical decline of patients after discontinuation of the therapy suggested that vital pathways were still being influenced. Significant basic research is being done to better elucidate the mechanisms of resistance, which then must be explored in the clinical setting. Much is made of the direct and societal costs of the new therapies for RCC. Anyone who prescribes these agents knows that the direct costs of these drugs are significant. The approval process involves a number of steps. For example, sunitinib and sorafenib were both approved by Health Canada in the summer of 2006. However, because they are oral drugs, they must be reviewed at the Common Drug Review (CDR). The CDR reviews not only the therapeutic benefit of a given drug, but also its cost-effectiveness, and provides recommendations to participating publicly funded federal, provincial (except Quebec), and territorial benefit plans in Canada. In February 2007, the CDR announced that it would not approve the use of sorafenib for metastatic RCC. As we write this summary, the decision on sunitinib is still pending. Private insurers may choose to cover these drugs; however, coverage will certainly not be universal. High drug costs also highlight the differences in reimbursement for oncology-related drugs across the country. For example, in the Western provinces of British Columbia, Alberta and Saskatchewan, the province covers all anticancer drugs, whether they are intravenous, subcutaneous or oral. For the most part, in Atlantic Canada, the province pays for only intravenous drugs. The provinces have traditionally paid for intravenous anticancer medications of proven benefit. Benefit has been defined in different ways, depending on the clinical situation, but has included overall survival, progression-free survival or quality of life benefits. For example, mitoxantrone for hormone-refractory prostate cancer has been approved only on the basis of its improvement of quality of life. Changes in reimbursement began in 2006. For metastatic colorectal cancer, published data6 showed that the addition of bevacizumab (a monoclonal antibody to VEGF) to standard chemotherapy provided a survival advantage of 4.7 months over that with chemotherapy alone. This very quickly became the standard of care in the United States. In Canada, the approval took longer, but Health Canada eventually approved bevacizumab in September 2005. It was then up to each province to review the data and decide whether it would fund the drug through the public healthcare system. Provinces looking at the exact same data arrived at different conclusions. For example, a patient with metastatic colorectal cancer in British Columbia or Newfoundland can receive publicly funded bevacizumab. In other provinces however, the public healthcare system does not pay for this drug; in fact, some regions will not allow a patient to receive the drug in a publicly funded healthcare facility, even if the patient pays for the drug. Similar scenarios with the oral targeted agents for RCC are all too imaginable. There is no question that this issue will provoke ethical debate. How can Canadians justify a patient being funded to receive sunitinib in Nova Scotia, but not in New Brunswick? Can we accept that patients' home addresses may determine their eligibility to receive effective cancer therapy? This is obviously a very complex issue with many stakeholders, one that may well become a problem for patients with renal cancer and for those treating them over the coming months. A new national process, the Joint Oncology Drug Review, with representation from each province, is being piloted. This body will review the efficacy of oncology drugs at a national rather than a provincial level to develop uniformity and consensus and, we hope, to eliminate differences in provincial practice. Despite concerns about the availability of these new drugs, these are exciting and evolving times in the field of RCC. We continue to be optimistic about and committed to our current and future patients with RCC through our engagement in promising experimental studies and exploration of new therapeutic opportunities.

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)0,001
score de la tête « metaresearch » (Gemma)0,002
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 enseignants0,011
Score d'incertitude au seuil0,035

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0010,001
Communication savante0,0030,003
Science ouverte0,0010,001
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0110,004

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 Opus0,027
Tête enseignante GPT0,238
Écart entre enseignants0,211 · 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

Citations1
Publié2012
Routes d'admission3
Résumé présentoui

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