An Advance in Small-Cell Lung Cancer Treatment--More or Less
Notice bibliographique
Résumé
Although small-cell lung cancer (SCLC) once constituted 20%–25% of all newly diagnosed lung cancers in North America, in recent years the incidence has decreased to less than 15% (1,2). Nonetheless, deaths resulting from SCLC remain substantial and represent a major public health concern both in the United States and abroad. Fortunately, SCLC is a moderately chemo-sensitive neoplasm and, over the past three decades, considerable progress has been made in the management of this disease (3,4). In fact, even though cure remains elusive for most patients, median survival now approaches 2 years for patients with limited-stage disease and averages 9–10 months for patients with extensive-stage disease (5). In North America, SCLC is most commonly treated with a two-drug chemotherapy regimen consisting of cisplatin (or carboplatin) and etoposide (PE). Patients with limited-stage disease also receive thoracic radiotherapy, usually administered concurrently with the first or second cycle of chemotherapy (6). In Europe, the situation is somewhat different. Induction chemotherapy regimens tend to be more varied, with a higher percentage of oncologists using anthracycline-based drug combinations (7). However, this practice pattern may change in light of a recently reported randomized trial demonstrating the superiority of platinum-based therapy compared with a standard anthracycline-based regimen (8). Although these improvements in SCLC treatment are gratifying, there is clearly more work to do. Over the last decade, several new drugs have been identified with excellent activity against SCLC in the firstand second-line settings, including irinotecan, topotecan, and paclitaxel (9–12). Given the biology of SCLC, with its proclivity toward early relapse and subsequent refractoriness to therapy, the desire to incorporate these newer agents into front-line therapy is obvious. In this issue of the Journal, Reck et al. (13) report the results of a randomized phase III trial comparison of carboplatin, etoposide, and vincristine (CEV)—the standard arm—versus carboplatin, etoposide, and paclitaxel (TEC)—the experimental arm. Their attempt to improve upon an existing chemotherapy regimen followed a time-honored and traditional strategy of adding (or substituting) an active drug to an active regimen. Their choice of paclitaxel as a substitute for vincristine is logical on the basis of its novel mechanism of action and the extant phase II data (9,12). Their study included patients with both limitedand extensive-stage disease. Notably, patients with limited-stage disease were treated with sequential thoracic radiotherapy upon completion of induction chemotherapy, which some experts believe is not the optimal method of delivering radiotherapy (6,14). Patients who progressed or failed to respond to treatment after the initial two cycles of induction therapy were switched to cyclophosphamide, doxorubicin, and vincristine. A total of 614 patients were enrolled over a 2-year period. Median survival for patients in the TEC arm was superior to that achieved by patients in the CEV arm (12.7 versus 11.7 months), and the hazard ratio of death was statistically significantly higher for patients in the CEV arm (hazard ratio 1.22, 95% confidence interval 1.03 to 1.45; P .024). When analyzed by stage, the apparent survival advantage was seemingly confined to limited-stage patients (17.6 versus 16.6 months) and was not apparent for those with extensive-stage disease (9.8 versus 10.0 months), a pattern reminiscent of the European trial in which less-than-optimal thoracic radiotherapy was used (8). Myelosuppression was the principal toxicity in both treatment groups (13). Grade 3 or 4 neurotoxicity and thrombocytopenia, however, were more common for patients in the CEV arm. The authors concluded that TEC is preferable to CEV in the treatment of patients with SCLC. What can we make of these data? Should TEC supplant PE as the regimen of choice in SCLC? The U.S. Intergroup recently reported the results of a randomized study in which cisplatin, etoposide, and paclitaxel (TEP) were compared with PE alone (15). The study enrolled nearly 600 patients, all of whom had extensive-stage disease. Although failure-free survival favored patients in the TEP arm, similar to the study by Reck et al. (13), median survival was not statistically significantly different between the two arms (10.35 versus 9.86 months; P .27) in contrast to median survival in the German study (13). There were more treatment-related deaths in the TEP-treated group (15). The Greek Lung Cancer Cooperative Group also conducted a prospective randomized trial of TEP versus PE (16). However, the trial enrolled only 133 patients with limitedand extensivestage disease and was closed before meeting the intended accrual goal because of excessive toxicity and mortality in the TEP arm. There were no differences in objective response rates or median survival times between the two regimens (16). However, eight patients in the TEP arm died from toxicity whereas none of the patients in the EP arm died (P .001). Moreover, the TEP regimen was associated with statistically significantly more grade 4 neutropenia, grade 3–4 thrombocytopenia, febrile neutropenia, grade 3–4 diarrhea, grade 3–4 asthenia, and grade 3 neurotoxicity. Similar high levels of toxicity have been reported in various phase I/II trials using this three-drug regimen (17,18). Reck et al. (13) do not report such excessive toxicities in their trial, possibly because carboplatin was substituted for cisplatin.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».