Notice bibliographique
Résumé
The long and arduous road of the development of poly(ADPribose) polymerase inhibitors (PARP inhibitors) has been the epitome of potential difficulties with the drug approval process, especially for niche treatments that may affect only small populations and provide limited economic returns. After the publication of two seminal papers in 2005 that showed BRCA1and BRCA2-deficient cells were highly sensitive to PARP inhibition in preclinical models, multiple phase I and II clinical trials of different PARP inhibitors revealed promising results in patients with breast and ovarian cancer with BRCA1/2 associated malignancies. Activity was also reported in high-grade serous ovarian cancer suggesting that these tumors harbored “BRCAness.” In addition, early data led to the belief that these agents may be active in other BRCA1/2-associated malignancies such as prostate cancer. Despite the promising reports, there has been a slow development path for PARP inhibitors, but the story has recently been rejuvenated with multiple pharmaceutical companies currently running phase III trials, most notably in ovarian and BRCA1/2-related breast cancer. In the article that accompanies this editorial, Kaufman et al, report a multicenter, single-stage efficacy and safety study of the PARP inhibitor olaparib. With tumor response rate as the primary efficacy outcome, 298 patients with advanced germline BRCA1/2-associated malignancies across multiple tumor sites were enrolled (193 ovarian, 62 breast, 23 pancreatic, eight prostate, 12 other). This was a heterogeneous group of patients in terms of both tumor type and number of prior treatments. Response rates in patients with ovarian cancer were similar to those reported previously at 31.1%. The tumor response rate of 12.9% seen in patients with breast cancer in this study is lower than previously reported (Tutt et al reported an objective response rate of 41%), which may reflect prior treatment exposure. A poorer response rate was seen in those with prior platinum therapy (9.5%) compared with those without prior platinum therapy (20%) giving further evidence that similar resistance mechanisms may play a role, although this study did not quantify clinical platinum resistance. The real gem of this study, however, was the activity of olaparib in BRCA1/2-associated pancreatic cancer, with a tumor response rate of 21.7%, despite an average of two prior lines of systemic chemotherapy in this small group of patients. This study was not designed nor powered to compare response rates of olaparib to current standard treatments. These results represent the largest cohort to date in a study of BRCA1/2-associated pancreatic cancer and warrant further study. Phase I and II studies in this specific patient population are underway. A controversial feature of this study is the trial design, which has no formal hypothesis and a statistical analysis that is only descriptive in nature. Classic phase II trials are designed to evaluate the short-term therapeutic effect of a drug in a targeted group of patients using a sample size that is calculated on the expected clinical efficacy and incorporating the likelihood of type I and II errors. This trial has no formal sample size calculation and therefore could be considered an observational study, the results of which may be considered as hypothesis generating. Is this design idiosyncratic to this study, or is it a harbinger of trials to come? In the case of olaparib, multiple phase I and II studies in advanced BRCA1/2-associated malignancies have already been conducted, and there are other nuances that stand out apart from pure statistics that contribute to this trial’s credibility. Olaparib has had a long gestation, and this study afforded an opportunity for clinical researchers to gain experience across multiple tumor sites as well as to provide access to the agent for BRCA mutation carriers with advanced malignancies. This study design may also support other studies that determine eligibility with a genomic marker rather than a site of origin. With the shift of cancer drug development to molecularly targeted therapies and the increasing understanding of genomic alterations that underlie and promote malignant phenotypes, the “basket” study design is potentially an efficient tool to provide evidence of biologic activity across a wide number of malignancies to help determine further avenues of development. It is not simple, however, as common molecular events that are found across multiple tumor sites may not translate into similar responses to specific therapeutic agents. Trastuzumab, which is active in human epidermal growth factor receptor 2 (HER2) –overexpressed breast and gastric cancer, does not appear to have the same activity in HER2-overexpressed ovarian and endometrial cancer. Similarly, vemurafenib, which is active in BRAF-mutated melanoma, is not as active in BRAF-mutated colon cancer. Should these studies be limited to specific genetic alterations? By the nature of the function of BRCA1/2, it stands to reason that targeting this molecularly defined genomic alteration, as opposed to targeting the organ of origin, should work across different tumor types. PARP-1 is involved in the base excision repair (BER) pathway, and its inhibition leads to persistent single-strand DNA breaks that can deteriorate during DNA replication to form double-strand DNA breaks. Without PARP-1, mechanisms exist via homologous recombination (HR), a major role of BRCA1/2 in all human cells, to repair doublestrand breaks. However, in BRCA1/2-deficient cells, the combination of PARP inhibition and loss of HR by BRCA1/2 leads to unsustainable genetic damage and cell death or, “synthetic lethality.” Therefore, with JOURNAL OF CLINICAL ONCOLOGY E D I T O R I A L VOLUME 33 NUMBER 3 JANUARY 2
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 | 0,012 | 0,046 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,009 |
| Communication savante | 0,014 | 0,025 |
| Science ouverte | 0,002 | 0,006 |
| Intégrité de la recherche | 0,012 | 0,030 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,052 | 0,025 |
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 ».