Predicting survival of patients with metastatic renal cell carcinoma Journal Article
| Authors: | Motzer, R. J.; Mazumdar, M. |
| Article Title: | Predicting survival of patients with metastatic renal cell carcinoma |
| Abstract: | The relationship between pretreatment clinical features and survival was studied from patients treated on clinical trials for metastatic renal cell carcinoma (RCC) at the Memorial Sloan-Kettering Cancer Center. The primary analysis was performed on 670 patients treated with cytokines or chemotherapy, from which a multivariate model was derived to predict survival. Studies which followed addressed: (1) the survival of patients given interferon-α as first-line therapy; (2) a comparison of survival for patients treated with chemotherapy versus cytokine therapy; and (3) survival of patients with non-clear cell histology. Prospective identification of patients more likely to benefit from cytokine therapy is important as a stratification factor in phase III trials, and in risk-directed therapy. |
| Keywords: | cancer chemotherapy; cancer survival; treatment outcome; disease-free survival; clinical feature; clinical trial; antineoplastic agents; clinical trials as topic; conference paper; alpha interferon; antineoplastic agent; interleukin 2; cancer immunotherapy; antineoplastic combined chemotherapy protocols; prediction; kidney carcinoma; kidney neoplasms; risk assessment; survival time; carcinoma, renal cell; neoplasm metastasis; long term care; multivariate analysis; high risk population; immunologic factors; kidney metastasis; interleukin-2; interferon-alpha; humans; prognosis; human |
| Journal Title: | Der Urologe A |
| Volume: | 43 |
| Issue: | Suppl.2 |
| ISSN: | 0340-2592 |
| Publisher: | Springer Verlag |
| Date Published: | 2004-09-01 |
| Start Page: | S135 |
| End Page: | S136 |
| Language: | English |
| DOI: | 10.1007/s00120-004-0602-x |
| PROVIDER: | scopus |
| PUBMED: | 15148574 |
| DOI/URL: | |
| Notes: | Urologe Ausg. A -- Cited By (since 1996):6 -- Export Date: 16 June 2014 -- CODEN: URGAB -- Source: Scopus |
Altmetric
Citation Impact
BMJ Impact Analytics
Related MSK Work