From combination early detection to multicancer testing: shifting cancer care toward proactive prevention and interception.

IF 2.6
Adriana Albini, Dario Trapani, Francesco Bertolini, Douglas M Noonan, Roberto Orecchia, Giovanni Corso
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Abstract

Identifying the presence of tumors at a very early stage or deciphering the process underlying their development can enable the interception of pro-malignant mechanisms underpinning cancer emergence, facilitating more effective prevention. Advances in molecular profiling allow the detection of genetic, epigenetic, immune, and microenvironmental alterations associated with cancer risk. Liquid biopsy permits non-invasive analysis of circulating tumor cells, nucleic acids, immune cells, extracellular vesicles, proteins, cytokines, and metabolites, while metagenome analysis facilitates gut microbiota profiling. Multi-cancer early detection (MCED) assays broaden this approach, capturing signals from multiple malignancies using a single blood sample. These technologies go beyond genomics, addressing immune dysregulation and metabolic shifts and may help identify gut microbiota imbalances. Clonal hematopoiesis of indeterminate potential (CHIP) gets increasing recognition of biomarker. Cardiovascular risk scores based on multiple parameters are an inspiring example The analysis of a combination of cancer drivers and enablers should provide a more sensitive and personalized measure of cancer prodromic profiles. Artificial intelligence will further support this transition by integrating molecular, immune, and metabolic data to develop individualized risk profiles. This shift from single-cancer detection to integrated, mechanism-based screening fosters a more proactive prevention model.. This combination early detection empowers cancer interception by using strategies including lifestyle modification, nutritional optimization, drug repurposing, pharmacologic interventions, and targeted chemoprevention. Moving beyond single parameters analysis and organ-specific screening, this multidimensional approach advances early detection and interception as practical clinical goals, facilitating the fundamental aim of positioning prevention at the forefront of oncology.

从联合早期检测到多种癌症检测:将癌症护理转向主动预防和拦截。
在非常早期阶段识别肿瘤的存在或破译其发展背后的过程可以拦截支持癌症出现的恶性机制,促进更有效的预防。分子谱分析的进步使检测与癌症风险相关的遗传、表观遗传、免疫和微环境改变成为可能。液体活检允许对循环肿瘤细胞、核酸、免疫细胞、细胞外囊泡、蛋白质、细胞因子和代谢物进行无创分析,而宏基因组分析有助于肠道微生物群分析。多种癌症早期检测(MCED)试验拓宽了这一方法,利用单一血液样本捕获多种恶性肿瘤的信号。这些技术超越了基因组学,解决了免疫失调和代谢变化,并可能有助于识别肠道微生物群失衡。不确定电位克隆造血(CHIP)越来越受到生物标志物的认可。基于多个参数的心血管风险评分就是一个鼓舞人心的例子。对癌症驱动因素和促成因素的综合分析应该提供一种更敏感和个性化的癌症前驱症状的测量方法。人工智能将通过整合分子、免疫和代谢数据来开发个性化的风险概况,进一步支持这一转变。这种从单一癌症检测到综合的、基于机制的筛查的转变促进了一种更积极主动的预防模式。通过改变生活方式、优化营养、重新利用药物、药物干预和有针对性的化学预防等策略,这种早期检测的结合使癌症得以拦截。超越单一参数分析和器官特异性筛选,这种多维方法将早期发现和拦截作为实用的临床目标,促进了将预防定位于肿瘤学前沿的基本目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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