Kelloff G J, Boone C W, Crowell J A, Nayfield S G, Hawk E, Malone W F, Steele V E, Lubet R A, Sigman C C
Chemoprevention Branch, National Cancer Institute (NCI), National Institutes of Health, Bethesda, Maryland 20892, USA.
J Cell Biochem Suppl. 1996;25:1-14.
Quantifiable, well-characterized cancer risk factors demonstrate the need for chemoprevention and define cohorts for chemopreventive intervention. For chemoprevention, the important cancer risk factors are those that can be measured quantitatively in the subject at risk. These factors, called risk biomarkers, can be used to identify cohorts for chemoprevention. Those modulated by chemopreventive agents may also be used as endpoints in chemoprevention studies. Generally, the risk biomarkers fit into categories based on those previously defined by Hulka: 1) carcinogen exposure, 2) carcinogen exposure/effect, 3) genetic predisposition, 4) intermediate biomarkers of cancer, and 5) previous cancers. Besides their use in characterizing cohorts for chemoprevention trials, some risk biomarkers can be modulated by chemopreventive agents. These biomarkers may be suitable surrogate endpoints for cancer incidence in chemoprevention intervention trials. The criteria for risk biomarkers defining cohorts and serving as endpoints are the same, except that those defining cohorts are not necessarily modulated by chemopreventive agents. A primary criterion is that the biomarkers fit expected biological mechanisms of early carcinogenesis-i.e., differential expression in normal and high-risk tissue, on or closely linked to the causal pathway for the cancer, and short latency compared with cancer. They must occur in sufficient number to allow their biological and statistical evaluation. Further, the biomarkers should be assayed reliably and quantitatively, measured easily, and correlated to cancer incidence. Particularly important for cancer risk screening in normal subjects is the ability to use noninvasive techniques that are highly specific, sensitive, and quantitative. Since carcinogenesis is a multipath process, single biomarkers are difficult to correlate to cancer, as they may appear on only one or a few of the many possible causal pathways. As shown in colorectal carcinogenesis, the risks associated with the presence of biomarkers may be additive or synergistic. That is, the accumulation of genetic lesions is the more important determinant of colorectal cancer compared with the presence of any single lesion. Thus, batteries of biomarker abnormalities, particularly those representing the range of carcinogenesis pathways, may prove more useful than single biomarkers both in characterizing cohorts at risk and defining modulatable risks. Risk biomarkers are already being integrated into many chemoprevention intervention trials. One example is the phase II trial of oltipraz inhibition of carcinogen-DNA adducts in a Chinese population exposed to aflatoxin B1. Also, urine samples from subjects in this trial will be screened for the effect of oltipraz on urinary mutagens. A second example is a chemoprevention protocol developed for patients at high risk for breast cancer; the cohort is defined both by hereditary risk and the presence of biomarker abnormalities. Modulation of the biomarker abnormalities is a proposed endpoint. Also, dysplastic lesions, such as prostatic intraepithelial neoplasia, oral leukoplakia and colorectal adenomas, have been used to define high-risk cohorts and as potential modulatable surrogate endpoints in chemoprevention trials.
可量化、特征明确的癌症风险因素表明了化学预防的必要性,并为化学预防干预确定了队列人群。对于化学预防而言,重要的癌症风险因素是那些能够在有风险的个体中进行定量测量的因素。这些因素被称为风险生物标志物,可用于识别化学预防的队列人群。那些可被化学预防剂调节的因素也可作为化学预防研究的终点。一般来说,风险生物标志物可根据 Hulka 先前定义的类别进行分类:1)致癌物暴露,2)致癌物暴露/效应,3)遗传易感性,4)癌症的中间生物标志物,以及 5)既往癌症。除了用于确定化学预防试验的队列人群特征外,一些风险生物标志物可被化学预防剂调节。这些生物标志物可能是化学预防干预试验中癌症发病率的合适替代终点。定义队列人群和作为终点的风险生物标志物的标准是相同的,只是定义队列人群的那些生物标志物不一定被化学预防剂调节。一个主要标准是生物标志物符合早期致癌作用的预期生物学机制,即正常组织和高危组织中的差异表达,位于癌症的因果途径上或与之紧密相关,并且与癌症相比潜伏期较短。它们必须大量出现,以便进行生物学和统计学评估。此外,生物标志物应能够可靠且定量地检测,易于测量,并与癌症发病率相关。对于正常受试者的癌症风险筛查而言,能够使用高度特异、敏感且定量的非侵入性技术尤为重要。由于致癌作用是一个多途径过程,单一生物标志物很难与癌症相关联,因为它们可能仅出现在众多可能的因果途径中的一条或几条上。如在结直肠癌发生过程中所示,与生物标志物存在相关的风险可能是相加的或协同的。也就是说,与任何单个病变的存在相比,遗传损伤的积累是结直肠癌更重要的决定因素。因此,一系列生物标志物异常,特别是那些代表致癌途径范围的异常,在确定有风险的队列人群和定义可调节风险方面可能比单一生物标志物更有用。风险生物标志物已被纳入许多化学预防干预试验中。一个例子是在暴露于黄曲霉毒素 B1 的中国人群中进行的奥替普拉抑制致癌物 - DNA 加合物的 II 期试验。此外,该试验受试者的尿液样本将被筛查奥替普拉对尿中诱变剂的影响。第二个例子是为乳腺癌高危患者制定的化学预防方案;该队列人群由遗传风险和生物标志物异常的存在来定义。生物标志物异常的调节是一个提议的终点。此外,发育异常病变,如前列腺上皮内瘤变、口腔白斑和结肠直肠腺瘤,已被用于定义高危队列人群,并作为化学预防试验中潜在的可调节替代终点。