• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

SARIFA 作为一种新的组织病理学生物标志物,与不良的临床病理特征、促进肿瘤的脂肪酸代谢相关,并且可能预测 pT3a 前列腺癌的转移模式。

SARIFA as a new histopathological biomarker is associated with adverse clinicopathological characteristics, tumor-promoting fatty-acid metabolism, and might predict a metastatic pattern in pT3a prostate cancer.

机构信息

Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany.

Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.

出版信息

BMC Cancer. 2024 Jan 12;24(1):65. doi: 10.1186/s12885-023-11771-9.

DOI:10.1186/s12885-023-11771-9
PMID:38216952
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10785487/
Abstract

BACKGROUND

Recently, we introduced Stroma-AReactive-Invasion-Front-Areas (SARIFA) as a novel hematoxylin-eosin (H&E)-based histopathologic prognostic biomarker for various gastrointestinal cancers, closely related to lipid metabolism. To date, no studies on SARIFA, which is defined as direct tumor-adipocyte-interaction, beyond the alimentary tract exist. Hence, the objective of our current investigation was to study the significance of SARIFA in pT3a prostate cancer (PCa) and explore its association with lipid metabolism in PCa as lipid metabolism plays a key role in PCa development and progression.

METHODS

To this end, we evaluated SARIFA-status in 301 radical prostatectomy specimens and examined the relationship between SARIFA-status, clinicopathological characteristics, overall survival, and immunohistochemical expression of FABP4 and CD36 (proteins closely involved in fatty-acid metabolism). Additionally, we investigated the correlation between SARIFA and biochemical recurrence-free survival (BRFS) and PSMA-positive recurrences in PET/CT imaging in a patient subgroup. Moreover, a quantitative SARIFA cut-off was established to further understand the underlying tumor biology.

RESULTS

SARIFA positivity occurred in 59.1% (n = 178) of pT3a PCas. Our analysis demonstrated that SARIFA positivity is strongly associated with established high-risk features, such as R1 status, extraprostatic extension, and higher initial PSA values. Additionally, we observed an upregulation of immunohistochemical CD36 expression specifically at SARIFAs (p = 0.00014). Kaplan-Meier analyses revealed a trend toward poorer outcomes, particularly in terms of BRFS (p = 0.1). More extensive tumor-adipocyte interaction, assessed as quantity-dependent SARIFA-status on H&E slides, is also significantly associated with high-risk features, such as lymph node metastasis, and seems to be associated with worse survival outcomes (p = 0.16). Moreover, SARIFA positivity appeared to be linked to more distant lymph node and bone metastasis, although statistical significance was slightly not achieved (both p > 0.05).

CONCLUSIONS

This is the first study to introduce SARIFA as easy-and-fast-to-assess H&E-based biomarker in locally advanced PCa. SARIFA as the histopathologic correlate of a distinct tumor biology, closely related to lipid metabolism, could pave the way to a more detailed patient stratification and to the development of novel drugs targeting lipid metabolism in pT3a PCa. On the basis of this biomarker discovery study, further research efforts on the prognostic and predictive role of SARIFA in PCa can be designed.

摘要

背景

最近,我们提出了 Stroma-AReactive-Invasion-Front-Areas(SARIFA)作为一种新的苏木精和伊红(H&E)基于组织病理学的胃肠癌预后生物标志物,与脂质代谢密切相关。迄今为止,尚无关于 SARIFA 的研究,该研究定义为直接肿瘤-脂肪细胞相互作用,超出了消化道。因此,我们目前的研究目的是研究 SARIFA 在 pT3a 前列腺癌(PCa)中的意义,并探讨其与 PCa 中脂质代谢的关系,因为脂质代谢在 PCa 的发展和进展中起着关键作用。

方法

为此,我们评估了 301 例根治性前列腺切除术标本中的 SARIFA 状态,并检查了 SARIFA 状态与临床病理特征、总生存以及 FABP4 和 CD36(密切参与脂肪酸代谢的蛋白质)免疫组化表达之间的关系。此外,我们还研究了 SARIFA 与生化无复发生存(BRFS)和 PET/CT 成像中 PSMA 阳性复发之间的相关性在患者亚组中。此外,建立了定量 SARIFA 截断值以进一步了解肿瘤的潜在生物学。

结果

SARIFA 阳性发生在 59.1%(n=178)的 pT3a PCas 中。我们的分析表明,SARIFA 阳性与既定的高危特征密切相关,例如 R1 状态、前列腺外延伸和较高的初始 PSA 值。此外,我们观察到 CD36 免疫组化表达在 SARIFAs 中上调(p=0.00014)。Kaplan-Meier 分析显示,BRFS (p=0.1)的结果有恶化趋势。在 H&E 切片上,作为数量依赖性 SARIFA 状态评估的更广泛的肿瘤-脂肪细胞相互作用,也与淋巴结转移等高危特征显著相关,并且似乎与生存结果较差相关(p=0.16)。此外,SARIFA 阳性似乎与更远的淋巴结和骨转移有关,尽管统计学意义略有未达到(均 p>0.05)。

结论

这是第一项介绍 SARIFA 作为局部晚期 PCa 中易于评估的 H&E 基于生物标志物的研究。SARIFA 作为与脂质代谢密切相关的独特肿瘤生物学的组织病理学相关性,可能为更详细的患者分层和开发针对 pT3a PCa 中脂质代谢的新药铺平道路。基于这项生物标志物发现研究,可以设计进一步研究 SARIFA 在 PCa 中的预后和预测作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4a/10785487/380f1e27dccf/12885_2023_11771_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4a/10785487/d390ab278578/12885_2023_11771_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4a/10785487/4df925b0f879/12885_2023_11771_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4a/10785487/512b4979d04b/12885_2023_11771_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4a/10785487/380f1e27dccf/12885_2023_11771_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4a/10785487/d390ab278578/12885_2023_11771_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4a/10785487/4df925b0f879/12885_2023_11771_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4a/10785487/512b4979d04b/12885_2023_11771_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a4a/10785487/380f1e27dccf/12885_2023_11771_Fig4_HTML.jpg

相似文献

1
SARIFA as a new histopathological biomarker is associated with adverse clinicopathological characteristics, tumor-promoting fatty-acid metabolism, and might predict a metastatic pattern in pT3a prostate cancer.SARIFA 作为一种新的组织病理学生物标志物,与不良的临床病理特征、促进肿瘤的脂肪酸代谢相关,并且可能预测 pT3a 前列腺癌的转移模式。
BMC Cancer. 2024 Jan 12;24(1):65. doi: 10.1186/s12885-023-11771-9.
2
The Concept of Stroma AReactive Invasion Front Areas (SARIFA) as a new prognostic biomarker for lipid-driven cancers holds true in pancreatic ductal adenocarcinoma.基质反应性侵袭前沿区(SARIFA)作为一种新的脂质驱动型癌症预后生物标志物的概念在胰腺导管腺癌中成立。
BMC Cancer. 2024 Jun 26;24(1):768. doi: 10.1186/s12885-024-12519-9.
3
The relationship between Stroma AReactive Invasion Front Areas (SARIFA), Warburg-subtype and survival: results from a large prospective series of colorectal cancer patients.基质反应性侵袭前沿区域(SARIFA)、瓦伯格亚型与生存率之间的关系:来自大量结直肠癌患者前瞻性系列研究的结果
Cancer Metab. 2024 Jul 11;12(1):21. doi: 10.1186/s40170-024-00349-z.
4
Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer.将深度学习与人类观察到的肿瘤-脂肪细胞相互作用相结合作为结直肠癌的一种生物标志物。
Commun Med (Lond). 2024 Aug 15;4(1):163. doi: 10.1038/s43856-024-00589-6.
5
More advantages in detecting bone and soft tissue metastases from prostate cancer using F-PSMA PET/CT.使用F-PSMA PET/CT检测前列腺癌骨和软组织转移方面有更多优势。
Hell J Nucl Med. 2019 Jan-Apr;22(1):6-9. doi: 10.1967/s002449910952. Epub 2019 Mar 7.
6
Stroma AReactive Invasion Front Areas (SARIFA): a novel histopathologic biomarker in colorectal cancer patients and its association with the luminal tumour proportion.基质反应性浸润前沿区域(SARIFA):结直肠癌患者的一种新型组织病理学生物标志物及其与腔内肿瘤比例的关联
Transl Oncol. 2024 Jun;44:101913. doi: 10.1016/j.tranon.2024.101913. Epub 2024 Apr 10.
7
Stroma AReactive Invasion Front Areas (SARIFA) proves prognostic relevance in gastric carcinoma and is based on a tumor-adipocyte interaction indicating an altered immune response.基质反应性浸润前沿区(SARIFA)在胃癌中证明具有预后相关性,其基础是肿瘤-脂肪细胞相互作用,表明免疫反应发生改变。
Gastric Cancer. 2024 Jan;27(1):72-85. doi: 10.1007/s10120-023-01436-8. Epub 2023 Oct 24.
8
Novel biomarker SARIFA in colorectal cancer: highly prognostic, not genetically driven and histologic indicator of a distinct tumor biology.结直肠癌新型生物标志物 SARIFA:高预后性,非遗传驱动,且具有独特肿瘤生物学的组织学指标。
Cancer Gene Ther. 2024 Feb;31(2):207-216. doi: 10.1038/s41417-023-00695-y. Epub 2023 Nov 22.
9
Stroma AReactive Invasion Front Areas (SARIFA) - a new prognostic biomarker in gastric cancer related to tumor-promoting adipocytes.基质反应性侵袭前沿区(SARIFA)——一种与促进肿瘤生长的脂肪细胞相关的胃癌新预后生物标志物。
J Pathol. 2022 Jan;256(1):71-82. doi: 10.1002/path.5810. Epub 2021 Oct 22.
10
The presence of positive surgical margins in patients with organ-confined prostate cancer results in biochemical recurrence at a similar rate to that in patients with extracapsular extension and PSA ≤ 10 ng/ml.在局限于器官的前列腺癌患者中,如果存在阳性切缘,则生化复发的发生率与包膜外侵犯和 PSA≤10ng/ml 的患者相似。
Urol Oncol. 2014 Jan;32(1):32.e17-25. doi: 10.1016/j.urolonc.2012.11.021. Epub 2013 Feb 19.

引用本文的文献

1
Stroma areactive invasion front areas (SARIFA) in 1,298 pT3/pT4 colorectal cancers: A strong prognostic parameter complementing established morphological criteria.1298例pT3/pT4期结直肠癌中的基质反应性浸润前沿区域(SARIFA):一个补充既定形态学标准的强大预后参数。
Histopathology. 2025 Sep;87(3):464-473. doi: 10.1111/his.15501. Epub 2025 Jul 4.
2
High CD36 expression in the tumor microenvironmental vasculature correlates with unfavorable overall survival in high grade serous ovarian cancer.肿瘤微环境脉管系统中高表达的CD36与高级别浆液性卵巢癌患者不良的总生存期相关。
Sci Rep. 2025 Jun 3;15(1):19354. doi: 10.1038/s41598-025-01917-z.
3

本文引用的文献

1
Novel biomarker SARIFA in colorectal cancer: highly prognostic, not genetically driven and histologic indicator of a distinct tumor biology.结直肠癌新型生物标志物 SARIFA:高预后性,非遗传驱动,且具有独特肿瘤生物学的组织学指标。
Cancer Gene Ther. 2024 Feb;31(2):207-216. doi: 10.1038/s41417-023-00695-y. Epub 2023 Nov 22.
2
Stroma AReactive Invasion Front Areas (SARIFA) proves prognostic relevance in gastric carcinoma and is based on a tumor-adipocyte interaction indicating an altered immune response.基质反应性浸润前沿区(SARIFA)在胃癌中证明具有预后相关性,其基础是肿瘤-脂肪细胞相互作用,表明免疫反应发生改变。
Gastric Cancer. 2024 Jan;27(1):72-85. doi: 10.1007/s10120-023-01436-8. Epub 2023 Oct 24.
3
Predictive clinical characteristics for adverse pathological outcomes in intermediate- and high-risk prostate cancer during biopsy.
活检期间中高危前列腺癌不良病理结果的预测性临床特征。
Int Urol Nephrol. 2025 May 25. doi: 10.1007/s11255-025-04577-0.
4
Prognostic and Predictive Value of SARIFA-status Within Molecular Subgroups of Colorectal Cancer: Insights From the Netherlands Cohort Study.荷兰队列研究的见解:结直肠癌分子亚组中SARIFA状态的预后和预测价值
Am J Surg Pathol. 2025 May 9;49(9):956-969. doi: 10.1097/PAS.0000000000002408.
5
[SARIFA-a new multi-entity biomarker].[SARIFA——一种新型多实体生物标志物]
Pathologie (Heidelb). 2024 Nov;45(6):397-403. doi: 10.1007/s00292-024-01368-9. Epub 2024 Oct 4.
6
Combination of Blood Adiponectin and Leptin Levels Is a Predictor of Biochemical Recurrence in Prostate Cancer Invading the Surrounding Adipose Tissue.脂联素和瘦素联合水平是预测侵犯周围脂肪组织的前列腺癌患者生化复发的指标。
Int J Mol Sci. 2024 Aug 17;25(16):8970. doi: 10.3390/ijms25168970.
7
Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer.将深度学习与人类观察到的肿瘤-脂肪细胞相互作用相结合作为结直肠癌的一种生物标志物。
Commun Med (Lond). 2024 Aug 15;4(1):163. doi: 10.1038/s43856-024-00589-6.
8
The SARIFA biomarker in the context of basic research of lipid-driven cancers.脂质驱动癌症基础研究背景下的SARIFA生物标志物。
NPJ Precis Oncol. 2024 Jul 31;8(1):165. doi: 10.1038/s41698-024-00662-2.
9
The Concept of Stroma AReactive Invasion Front Areas (SARIFA) as a new prognostic biomarker for lipid-driven cancers holds true in pancreatic ductal adenocarcinoma.基质反应性侵袭前沿区(SARIFA)作为一种新的脂质驱动型癌症预后生物标志物的概念在胰腺导管腺癌中成立。
BMC Cancer. 2024 Jun 26;24(1):768. doi: 10.1186/s12885-024-12519-9.
Deep learning trained on lymph node status predicts outcome from gastric cancer histopathology: a retrospective multicentric study.
深度学习基于淋巴结状态预测胃癌组织病理学预后:一项回顾性多中心研究。
Eur J Cancer. 2023 Nov;194:113335. doi: 10.1016/j.ejca.2023.113335. Epub 2023 Sep 12.
4
Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning.利用深度学习从结直肠癌的原发性肿瘤组织学和临床病理因素预测淋巴结转移
Commun Med (Lond). 2023 Apr 24;3(1):59. doi: 10.1038/s43856-023-00282-0.
5
Pathologist Validation of a Machine Learning-Derived Feature for Colon Cancer Risk Stratification.机器学习衍生特征在结肠癌风险分层中的病理学家验证。
JAMA Netw Open. 2023 Mar 1;6(3):e2254891. doi: 10.1001/jamanetworkopen.2022.54891.
6
Alterations in Natural Killer Cells in Colorectal Cancer Patients with Stroma AReactive Invasion Front Areas (SARIFA).患有基质反应性浸润前沿区域(SARIFA)的结直肠癌患者自然杀伤细胞的改变
Cancers (Basel). 2023 Feb 3;15(3):994. doi: 10.3390/cancers15030994.
7
Single-cell RNA sequencing reveals intratumoral heterogeneity and potential mechanisms of malignant progression in prostate cancer with perineural invasion.单细胞RNA测序揭示了伴有神经周围浸润的前列腺癌的肿瘤内异质性及恶性进展的潜在机制。
Front Genet. 2023 Jan 9;13:1073232. doi: 10.3389/fgene.2022.1073232. eCollection 2022.
8
Emerging Hallmarks of Metabolic Reprogramming in Prostate Cancer.前列腺癌代谢重编程的新兴特征。
Int J Mol Sci. 2023 Jan 4;24(2):910. doi: 10.3390/ijms24020910.
9
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer.多标记深度学习预测结直肠癌的预后和治疗反应。
Nat Med. 2023 Feb;29(2):430-439. doi: 10.1038/s41591-022-02134-1. Epub 2023 Jan 9.
10
PSMA PET/CT: joint EANM procedure guideline/SNMMI procedure standard for prostate cancer imaging 2.0.PSMA PET/CT:前列腺癌成像 2.0 的 EANM 程序指南/ SNMMI 程序标准联合。
Eur J Nucl Med Mol Imaging. 2023 Apr;50(5):1466-1486. doi: 10.1007/s00259-022-06089-w. Epub 2023 Jan 5.