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肿瘤免疫微环境在滑膜肉瘤中的预后影响:一项使用数字病理学和传统解读的免疫组织化学分析

The Prognostic Impact of the Tumor Immune Microenvironment in Synovial Sarcoma: An Immunohistochemical Analysis Using Digital Pathology and Conventional Interpretation.

作者信息

Medina-Ceballos Emilio, Giner Francisco, Machado Isidro, Heras-Morán Begoña, Espino Mónica, Navarro Samuel, Llombart-Bosch Antonio

机构信息

Pathology Department, Hospital Clínico Universitario de Valencia, 46010 Valencia, Spain.

Pathology Department, University of Valencia, 46010 Valencia, Spain.

出版信息

J Pers Med. 2025 Apr 25;15(5):169. doi: 10.3390/jpm15050169.

Abstract

BACKGROUND AND OBJECTIVES

Innate and adaptive immune responses serve a crucial role in neoplasms. The interaction of immune cells with the neoplastic tissue influences tumor behavior, resulting in either pro-tumorigenic or anti-tumorigenic effects. However, the prognostic significance of the tumor immune microenvironment (TIME) in synovial sarcoma (SS) remains poorly studied. This study aimed to analyze the TIME of SS to determine its impact on the prognosis by examining the intratumoral lymphocytic and macrophagic infiltrate and its potential correlation with survival and recurrence.

METHODS

We conducted a retrospective observational study of 49 fusion-confirmed SS cases collected from two different institutions. We obtained clinical and follow-up data, and SSs were histologically classified according to WHO criteria. Immunohistochemical analysis, including of CD163, CD68, CD3, CD8, and CD20, was conducted in tissue microarrays using an analog scale. We examined the whole-slide tissue for the 23 cases with sufficient material available and then assessed the positive area by scanning the slides and analyzing the images using QuPath (0.4.4, Belfast, Northern Ireland) to calculate the positive area in an immune hotspot. We correlated the expression of these markers with clinical outcomes. A log-rank test and Kaplan-Meyer curves were used as appropriate (significance: ≤ 0.05).

RESULTS

The most frequent morphological subtype was monophasic (59.6%), followed by biphasic (26.9%) and undifferentiated (7%). The mean disease specific survival (DSS) was 55.3 months, with a median of 33 months. The median overall survival (OS) was 50 months (range: 2-336 months). Both evaluation methods showed a good correlation for all antibodies, with Chi-square values of < 0.05. All cases showed variable amounts of CD163-positive macrophages. The cases that showed a higher density of CD163-positive macrophages in whole-slide images subjected to digital analysis demonstrated an improved OS and DSS on Kaplan-Meier curves. Cases with lower CD8 and CD3 positivity showed a tendency toward faster progression and a slightly worse prognosis.

CONCLUSIONS

The tumor immune microenvironment in sarcomas is a complex system that requires further investigation to fully understand its impact on tumorigenesis and patient clinical outcomes. Our results demonstrate that a higher amount of intratumoral CD163-positive macrophage infiltrate is associated with an increased OS and DSS. Our findings show that digital pathology is more precise than subjective quantitative analysis.

摘要

背景与目的

固有免疫和适应性免疫反应在肿瘤中起关键作用。免疫细胞与肿瘤组织的相互作用影响肿瘤行为,产生促肿瘤或抗肿瘤作用。然而,滑膜肉瘤(SS)中肿瘤免疫微环境(TIME)的预后意义仍研究不足。本研究旨在分析SS的TIME,通过检查肿瘤内淋巴细胞和巨噬细胞浸润及其与生存和复发的潜在相关性来确定其对预后的影响。

方法

我们对从两个不同机构收集的49例融合确诊的SS病例进行了回顾性观察研究。我们获取了临床和随访数据,并根据世界卫生组织标准对SS进行组织学分类。在组织微阵列中使用类似量表进行免疫组织化学分析,包括CD163、CD68、CD3、CD8和CD20。我们对有足够材料的23例病例检查了全切片组织,然后通过扫描切片并使用QuPath(0.4.4,北爱尔兰贝尔法斯特)分析图像来评估阳性区域,以计算免疫热点中的阳性面积。我们将这些标志物的表达与临床结果相关联。酌情使用对数秩检验和Kaplan-Meier曲线(显著性:≤0.05)。

结果

最常见的形态学亚型是单相型(59.6%),其次是双相型(26.9%)和未分化型(7%)。平均疾病特异性生存(DSS)为55.3个月,中位数为33个月。中位总生存(OS)为50个月(范围:2 - 336个月)。两种评估方法对所有抗体均显示出良好的相关性,卡方值<0.05。所有病例均显示不同数量的CD163阳性巨噬细胞。在进行数字分析的全切片图像中显示CD163阳性巨噬细胞密度较高的病例在Kaplan-Meier曲线上显示出改善的OS和DSS。CD8和CD3阳性较低的病例有进展更快和预后稍差的趋势。

结论

肉瘤中的肿瘤免疫微环境是一个复杂的系统,需要进一步研究以充分了解其对肿瘤发生和患者临床结果的影响。我们的结果表明,肿瘤内CD163阳性巨噬细胞浸润量增加与OS和DSS增加相关。我们的研究结果表明,数字病理学比主观定量分析更精确。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94ea/12113210/b45f07f70136/jpm-15-00169-g004.jpg

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