Märkl Bruno, Reitsam Nic G, Grochowski Przemyslaw, Waidhauser Johanna, Grosser Bianca
Pathology, Medical Faculty Augsburg, University of Augsburg, Augsburg, Germany.
Bavarian Cancer Research Center (BZKF), Augsburg, Germany.
NPJ Precis Oncol. 2024 Jul 31;8(1):165. doi: 10.1038/s41698-024-00662-2.
SARIFA was very recently introduced as a histomorphological biomarker with strong prognostic power for colorectal, gastric, prostate, and pancreatic cancer. It is characterized by the direct contact between tumor cells and adipocytes due to a lack of stromal reaction. This can be easily evaluated on routinely available H&E-slides with high interobserver agreement. SARIFA also reflects a specific tumor biology driven by metabolic reprogramming. Tumor cells in SARIFA-positive tumors benefit from direct interaction with adipocytes as an external source of lipids. Numerous studies have shown that lipid metabolism is crucial in carcinogenesis and cancer progression. We found that the interaction between tumor cells and adipocytes was not triggered by obesity, as previously assumed. Instead, we believe that this is due to an immunological mechanism. Knowledge about lipid metabolism in cancer from basic experiments can be transferred to develop strategies targeting this reprogramed metabolism.
SARIFA是最近被引入的一种组织形态学生物标志物,对结直肠癌、胃癌、前列腺癌和胰腺癌具有很强的预后预测能力。其特征是由于缺乏基质反应,肿瘤细胞与脂肪细胞直接接触。这可以在常规的苏木精-伊红(H&E)染色切片上轻松评估,观察者间一致性很高。SARIFA还反映了由代谢重编程驱动的特定肿瘤生物学特性。SARIFA阳性肿瘤中的肿瘤细胞受益于与作为外部脂质来源的脂肪细胞的直接相互作用。大量研究表明,脂质代谢在致癌作用和癌症进展中至关重要。我们发现,肿瘤细胞与脂肪细胞之间的相互作用并非如先前假设的那样由肥胖引发。相反,我们认为这是由于一种免疫机制。来自基础实验的关于癌症中脂质代谢的知识可用于开发针对这种重编程代谢的策略。