The relationship between Stroma AReactive Invasion Front Areas (SARIFA), Warburg-subtype and survival: results from a large prospective series of colorectal cancer patients.

IF 6 3区 医学 Q1 CELL BIOLOGY
Kelly Offermans, Nic G Reitsam, Colinda C J M Simons, Bianca Grosser, Jessica Zimmermann, Heike I Grabsch, Bruno Märkl, Piet A van den Brandt
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引用次数: 0

Abstract

Background: Stroma AReactive Invasion Front Areas (SARIFA) is a recently identified haematoxylin & eosin (H&E)based histopathologic biomarker in gastrointestinal cancers, including colorectal cancer (CRC), defined as direct contact between tumour cells and adipocytes at the tumour invasion front. The current study aimed at validating the prognostic relevance of SARIFA in a large population-based CRC series as well as at investigating the relationship between SARIFA-status and previously established Warburg-subtypes, both surrogates of the metabolic state of the tumour cells.

Methods: SARIFA-status (positive versus negative) was determined on H&E slides of 1,727 CRC specimens. Warburg-subtype (high versus moderate versus low) data was available from our previous study. The associations between SARIFA-status, Warburg-subtype, clinicopathological characteristics and CRC-specific as well as overall survival were investigated.

Results: 28.7% (n=496) CRC were SARIFA-positive. SARIFA-positivity was associated with more advanced disease stage, higher pT category, and more frequent lymph node involvement (all p<0.001). SARIFA-positivity was more common in Warburg-high CRC. 44.2% (n=219) of SARIFA-positive CRCs were Warburg-high compared to 22.8% (n=113) being Warburg-low and 33.1% (n=164) being Warburg-moderate (p<0.001). In multivariable-adjusted analysis, patients with SARIFA-positive CRCs had significantly poorer CRC-specific (HRCRC-specific 1.65; 95% CI 1.41-1.93) and overall survival (HRoverall survival 1.46; 95% CI 1.28-1.67) independent of clinically known risk factors and independent of Warburg-subtype. Combining the SARIFA-status and the Warburg-subtype to a combination score (SARIFA-negative/Warburg-high versus SARIFA-positive/Warburg-low versus SARIFA-positive/Warburg-high, and so on) did not improve the survival prediction compared to the use of SARIFA-status alone (SARIFA-negative + Warburg-high: HRCRC-specific 1.08; 95% CI 0.84-1.38; SARIFA-positive + Warburg-low: HRCRC-specific 1.79; 95% CI 1.32-2.41; SARIFA-positive + Warburg-high: HRCRC-specific 1.58; 95% CI 1.23-2.04).

Conclusions: Our current study is the by far largest external validation of SARIFA-positivity as a novel independent negative prognostic H&E-based biomarker in CRC. In addition, our study shows that SARIFA-positivity is associated with the Warburg-high subtype. Further research is warranted to provide a more mechanistic understanding of the underlying tumour biology. Based on our data, we conclude SARIFA-status should be implemented in pathologic routine practice to stratify CRC patients.

基质活性侵袭前区(SARIFA)、沃伯格亚型与生存之间的关系:大型前瞻性结直肠癌患者系列研究的结果。
背景:基质活性侵袭前区(SARIFA)是最近在包括结直肠癌(CRC)在内的胃肠道癌症中发现的一种基于血涂片和伊红(H&E)的组织病理学生物标志物,它被定义为肿瘤细胞和脂肪细胞在肿瘤侵袭前区的直接接触。目前的研究旨在验证 SARIFA 在大型人群 CRC 系列中的预后相关性,并调查 SARIFA 状态与之前确定的沃伯格亚型(均为肿瘤细胞代谢状态的替代物)之间的关系:方法:在1,727份CRC标本的H&E切片上确定SARIFA状态(阳性与阴性)。沃伯格亚型(高、中、低)数据来自我们之前的研究。结果:28.7%(n=496)的 CRC 呈 SARIFA 阳性。SARIFA阳性与更晚的疾病分期、更高的pT分类、更频繁的淋巴结受累(所有pCRC特异性为1.65;95% CI为1.41-1.93)和总生存率(总生存率为1.46;95% CI为1.28-1.67)相关,与临床已知的风险因素无关,也与沃伯格亚型无关。与单独使用SARIFA状态相比,将SARIFA状态和沃伯格亚型合并为一个组合评分(SARIFA阴性/沃伯格-高与SARIFA阳性/沃伯格-低与SARIFA阳性/沃伯格-高,以此类推)并不能改善生存预测(SARIFA阴性+沃伯格-高:HRC特异性1.08;95% CI 0.84-1.38;SARIFA阳性+沃伯格-低:HRC特异性1.79;95% CI 0.84-1.38):结论:我们目前的研究是迄今为止对 SARIFA 阳性作为一种基于 H&E 的新型独立阴性预后生物标志物进行的最大规模的外部验证。此外,我们的研究还表明,SARIFA 阳性与沃伯格高亚型相关。我们有必要开展进一步的研究,以便从机制上更深入地了解潜在的肿瘤生物学。根据我们的数据,我们得出结论:SARIFA 状态应在病理常规实践中用于对 CRC 患者进行分层。
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来源期刊
自引率
1.70%
发文量
17
审稿时长
14 weeks
期刊介绍: Cancer & Metabolism welcomes studies on all aspects of the relationship between cancer and metabolism, including: -Molecular biology and genetics of cancer metabolism -Whole-body metabolism, including diabetes and obesity, in relation to cancer -Metabolomics in relation to cancer; -Metabolism-based imaging -Preclinical and clinical studies of metabolism-related cancer therapies.
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