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预测膀胱内卡介苗免疫治疗反应:我们做到了吗?系统评价。

Predicting Response to Intravesical Bacillus Calmette-Guérin Immunotherapy: Are We There Yet? A Systematic Review.

机构信息

Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

出版信息

Eur Urol. 2018 May;73(5):738-748. doi: 10.1016/j.eururo.2017.10.003. Epub 2017 Oct 18.

Abstract

CONTEXT

Bacillus Calmette-Guérin (BCG) is currently the most effective intravesical therapy for nonmuscle invasive bladder cancer, reducing not only recurrence rates but also preventing progression and reducing deaths. However, response rates to BCG vary widely and are dependent on a multitude of factors.

OBJECTIVE

To review existing data on clinical, pathologic, immune, and molecular markers that allow prediction of BCG response.

EVIDENCE ACQUISITION

PubMed and MEDLINE search of English language literature was conducted from its inception to July 2017 using appropriate search terms. Following systematic literature review and analysis of data, consensus voting was used to generate the content of this review.

EVIDENCE SYNTHESIS

As seen in the EORTC and CUETO risk nomograms, clinicopathologic features, especially tumor stage and grade, are the most effective predictors of BCG response. Data are less robust with regards to the association of response with age, female sex, recurrent tumors, multiplicity of tumors, and the presence of carcinoma in situ. Single biomarkers, such as tumor p53 and urinary interleukin-2 expression, have had limited success in predicting BCG response, possibly due to the multifaceted nature of the generated immune response. More comprehensive biomarker panels (eg, urinary cytokines), have a more robust correlation with response, as do patterns of urinary cytologic fluorescent in-situ hybridization examination. Gene expression data correlate with disease progression, but studies examining potential associations with BCG response are limited.

CONCLUSIONS

Currently, the best predictors of BCG response are clinicopathologic features such as tumor grade and stage. Panels of urinary cytokines, as well as fluorescent in-situ hybridization patterns of cytologic anomalies, appear to be promising biomarkers. The complexity of the immune response to BCG and the heterogeneity of bladder cancer suggest that future studies should amalgamate measures reflecting innate immune response and tumor/stromal gene expression before these can be adopted for clinical use.

PATIENT SUMMARY

Bacillus Calmette-Guérin (BCG) immunotherapy is an effective treatment for many patients with nonmuscle invasive bladder cancer. An individual's response to BCG can be predicted by using various features of the cancer. In the future, predictive markers using molecular measures of the tumor type and the immune response to BCG may allow us to precisely know an individual's likely outcome after BCG treatment.

摘要

背景

卡介苗(BCG)目前是非肌肉浸润性膀胱癌最有效的膀胱内治疗方法,不仅降低了复发率,而且还预防了进展和减少了死亡。然而,BCG 的反应率差异很大,并且取决于多种因素。

目的

综述目前关于临床、病理、免疫和分子标志物的相关数据,这些标志物可预测 BCG 反应。

证据获取

通过使用适当的搜索词,从其创建开始到 2017 年 7 月在 PubMed 和 MEDLINE 上对英文文献进行了搜索。经过系统的文献综述和数据分析,共识投票用于生成本综述的内容。

证据综合

正如 EORTC 和 CUETO 风险列线图中所见,临床病理特征,尤其是肿瘤分期和分级,是预测 BCG 反应的最有效指标。关于反应与年龄、女性、复发性肿瘤、肿瘤多发性和原位癌的相关性,数据的稳健性较差。单一生物标志物,如肿瘤 p53 和尿白细胞介素-2 表达,在预测 BCG 反应方面的成功有限,可能是由于产生的免疫反应具有多方面的性质。更全面的生物标志物组(例如,尿液细胞因子)与反应具有更强的相关性,尿液细胞学荧光原位杂交检查的模式也是如此。基因表达数据与疾病进展相关,但检查与 BCG 反应潜在关联的研究有限。

结论

目前,BCG 反应的最佳预测指标是肿瘤分级和分期等临床病理特征。尿液细胞因子的面板,以及细胞学异常的荧光原位杂交模式,似乎是很有前途的生物标志物。BCG 免疫反应的复杂性和膀胱癌的异质性表明,未来的研究应该合并反映先天免疫反应和肿瘤/基质基因表达的措施,然后才能将其用于临床。

患者总结

卡介苗(BCG)免疫疗法是许多非肌肉浸润性膀胱癌患者的有效治疗方法。可以通过使用癌症的各种特征来预测个体对 BCG 的反应。将来,使用肿瘤类型和 BCG 免疫反应的分子测量值的预测标志物可能使我们能够精确地了解个体在 BCG 治疗后的可能结果。

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