近几十年，癌症一直被认为是最严重的疾病之一。癌症的早期诊断是更快治疗的关键步骤。理想情况下，检测癌症生物标志物是最直接的癌症检测方法，因为癌症通常会使这些生物标志物升高。其中，癌胚抗原（CEA）被认为是结直肠癌最重要的肿瘤标记物之一。CEA也被认定为其他类型癌症的生物标志物，包括乳腺癌、胃癌、卵巢癌、胰腺癌和肺癌。通常，传统的CEA检测依赖于免疫测定方法，该方法被认为是复杂、费用高昂和耗时的。因此，各种类型的生物传感器被设计用于检测癌症生物标志物。这些生物传感器的主要先决条件是高灵敏度、快速响应和低成本。许多纳米结构已用于生物传感器的设计，如某些金属和金属氧化物的纳米颗粒，它们还被功能化以有助于对生物标志物的感测。另外，由金属簇包围的有机连接剂构成的金属有机骨架（MOFs）被证明非常有希望用于生物传感器的开发。MOFs的三维结构导致了高表面积和高互连多孔性的结合，被认为有助于其在生物传感器设计中的功能。本综述简要分类和描述了最近发表的基于MOFs的生物传感器试验，以实现CEA的检测目的。

Cancer has been considered one of the most serious diseases in recent decades. Early diagnosis of cancer is a crucial step for expedited treatment. Ideally, detection of cancer biomarkers, which are usually elevated because of cancer, is the most straightforward approach to detecting cancer. Among these biomarkers, the carcinoembryonic antigen (CEA) is considered one of the most important tumor markers for colorectal cancer. The CEA has also been recognized as a biomarker for other types of cancers, including breast, gastric, ovarian, pancreatic, and lung cancers. Typically, conventional CEA testing depends on immunoassay approaches, which are known to be complex, highly expensive, and time consuming. Accordingly, various types of biosensors have been designed for the detection of cancer biomarkers. The main prerequisites of these biosensors are high sensitivity, fast response, and low cost. Many nanostructures have been involved in the design of biosensors, such as nanoparticles of certain metals and metal oxides that are further functionalized to contribute to the sensing of the biomarkers. Alternatively, metal organic frameworks (MOFs), which are extended crystalline structures comprising metal clusters surrounded by organic linkers, have been shown to be highly promising for the development of biosensors. The 3D structure of MOFs results in a combination of high surface area and high interconnected porosity, which are believed to facilitate their function in the design of a biosensor. This review briefly classifies and describes MOF-based biosensor trials that have been published recently for the aim of detecting CEA.