Suppr超能文献

多灶性浅表性膀胱肿瘤对丝裂霉素-C和卡介苗-荷兰国家公共卫生与环境研究所(BCG-RIVM)膀胱内序贯联合治疗的肿瘤反应标志物。欧洲癌症研究与治疗组织泌尿生殖系统组(EORTC 30897)的报告

Marker tumour responses to the sequential combination of intravesical therapy with mitomycin-C and BCG-RIVM in multiple superficial bladder tumours. Report from the European Organisation for Research and Treatment on Cancer-Genitourinary Group (EORTC 30897).

作者信息

Van der Meijden A P, Hall R R, Macaluso M P, Pawinsky A, Sylvester R, Van Glabbeke M

机构信息

Department of Urology Bosch Medicentrum, 's-Hertogenbosch, The Netherlands.

出版信息

Eur Urol. 1996;29(2):199-203.

PMID:8647147
Abstract

OBJECTIVES

To study the ablative activity of intravesical mitomycin C followed by intravesical bacillus Calmette-Guérin (BCG) on a papillary marker tumour and to determine the incidence of side effects.

METHODS

Thirty-five patients with multiple pTa or pT1 bladder tumours were treated with 4 instillations of mitomycin C at weekly intervals followed by 6 instillations at weekly intervals of BCG-RIVM. All visible tumours were resected before starting intravesical instillations except one marker tumour. Response was determined 2 weeks after the last instillation.

RESULTS

The incidence of adverse effects was similar to previously reported toxicity of either mitomycin C or BCG alone. Complete response, histologically proven, was observed in 16 of 35 patients and in 3 patients without histological confirmation. One patient showed progression.

CONCLUSION

The sequential combination of mitomycin C and BCG is an efficacious treatment. The measurement of response to a marker tumour is a safe and efficient method to test new drugs or combinations of drugs.

摘要

目的

研究膀胱内注射丝裂霉素C后再注射卡介苗(BCG)对乳头状标记肿瘤的消融活性,并确定副作用的发生率。

方法

35例患有多个pTa或pT1膀胱肿瘤的患者接受了每周一次共4次的丝裂霉素C膀胱灌注治疗,随后每周一次共6次的BCG-RIVM膀胱灌注治疗。除一个标记肿瘤外,所有可见肿瘤在开始膀胱内灌注前均已切除。在最后一次灌注后2周确定反应情况。

结果

不良反应的发生率与先前单独报道的丝裂霉素C或卡介苗的毒性相似。35例患者中有16例经组织学证实完全缓解,3例未经组织学确认。1例患者病情进展。

结论

丝裂霉素C和卡介苗的序贯联合是一种有效的治疗方法。对标记肿瘤反应的测量是测试新药或药物组合的一种安全有效的方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验