卡介苗治疗非肌性浸润性膀胱癌:生物标志物和模拟研究

Alex Kiselyov , Svetlana Bunimovich-Mendrazitsky , Vladimir Startsev
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引用次数: 44

摘要

膀胱内卡介苗(BCG)疫苗是预防非肌肉浸润性膀胱癌(NMIBC)复发和进展的首选一线治疗方法。目前需要合理选择i)卡介苗剂量,ii)卡介苗给药频率以及iii)协同辅助治疗,iv)一套可靠的与肿瘤反应相关的生化标志物。在这篇综述中,我们评估了与卡介苗注射引发的免疫反应相关的细胞和分子标记以及相应的治疗数学模型。标记的具体例子包括各种免疫细胞、遗传多态性、mirna、表观遗传学、免疫组织化学和分子生物学“信标”,如细胞表面蛋白、细胞因子、信号蛋白和酶。我们确定肿瘤相关巨噬细胞(tam)、人白细胞抗原(HLA) I类、Ki-67/CK20、IL-2、IL-8和IL-6/IL-10比值的组合作为卡介苗前和卡介苗后治疗的最有希望的标记物,适合于模拟研究。这些数据的复杂性和患者特异性保证了使用强大的多参数数学方法,结合分子/细胞生物学洞察力和临床输入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Treatment of non-muscle invasive bladder cancer with Bacillus Calmette–Guerin (BCG): Biological markers and simulation studies

Treatment of non-muscle invasive bladder cancer with Bacillus Calmette–Guerin (BCG): Biological markers and simulation studies

Treatment of non-muscle invasive bladder cancer with Bacillus Calmette–Guerin (BCG): Biological markers and simulation studies

Treatment of non-muscle invasive bladder cancer with Bacillus Calmette–Guerin (BCG): Biological markers and simulation studies

Intravesical Bacillus Calmette–Guerin (BCG) vaccine is the preferred first line treatment for non-muscle invasive bladder carcinoma (NMIBC) in order to prevent recurrence and progression of cancer. There is ongoing need for the rational selection of i) BCG dose, ii) frequency of BCG administration along with iii) synergistic adjuvant therapy and iv) a reliable set of biochemical markers relevant to tumor response. In this review we evaluate cellular and molecular markers pertinent to the immunological response triggered by the BCG instillation and respective mathematical models of the treatment. Specific examples of markers include diverse immune cells, genetic polymorphisms, miRNAs, epigenetics, immunohistochemistry and molecular biology ‘beacons’ as exemplified by cell surface proteins, cytokines, signaling proteins and enzymes. We identified tumor associated macrophages (TAMs), human leukocyte antigen (HLA) class I, a combination of Ki-67/CK20, IL-2, IL-8 and IL-6/IL-10 ratio as the most promising markers for both pre-BCG and post-BCG treatment suitable for the simulation studies.

The intricate and patient-specific nature of these data warrants the use of powerful multi-parametral mathematical methods in combination with molecular/cellular biology insight and clinical input.

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