The SARIFA biomarker in the context of basic research of lipid-driven cancers

IF 6.8 1区 医学 Q1 ONCOLOGY NPJ Precision Oncology Pub Date : 2024-07-31 DOI:10.1038/s41698-024-00662-2
Bruno Märkl, Nic G. Reitsam, Przemyslaw Grochowski, Johanna Waidhauser, Bianca Grosser
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Abstract

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.

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脂质驱动型癌症基础研究中的 SARIFA 生物标志物。
最近,SARIFA 作为一种组织形态学生物标志物被引入临床,对结直肠癌、胃癌、前列腺癌和胰腺癌具有很强的预后能力。它的特点是由于缺乏基质反应,肿瘤细胞与脂肪细胞直接接触。这很容易在常规的 H&E 切片上进行评估,观察者之间的一致性很高。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得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不像以前假设的那样是由肥胖引发的。相反,我们认为这是免疫学机制所致。从基础实验中获得的有关癌症中脂质代谢的知识可用于制定针对这种重编程代谢的策略。
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来源期刊
CiteScore
9.90
自引率
1.30%
发文量
87
审稿时长
18 weeks
期刊介绍: Online-only and open access, npj Precision Oncology is an international, peer-reviewed journal dedicated to showcasing cutting-edge scientific research in all facets of precision oncology, spanning from fundamental science to translational applications and clinical medicine.
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