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

IF 3 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Emilio Medina-Ceballos, Francisco Giner, Isidro Machado, Begoña Heras-Morán, Mónica Espino, Samuel Navarro, Antonio Llombart-Bosch
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引用次数: 0

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: p ≤ 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 p < 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.

滑膜肉瘤中肿瘤免疫微环境对预后的影响:使用数字病理学和传统解释的免疫组织化学分析。
背景和目的:先天和适应性免疫反应在肿瘤中起着至关重要的作用。免疫细胞与肿瘤组织的相互作用影响肿瘤行为,导致致瘤或抗致瘤作用。然而,肿瘤免疫微环境(TIME)在滑膜肉瘤(SS)中的预后意义尚不清楚。本研究旨在通过检测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,分析SS的TIME对预后的影响。方法:我们对来自两个不同机构的49例融合确诊的SS病例进行回顾性观察研究。我们获得临床和随访资料,并根据WHO标准对SSs进行组织学分类。免疫组织化学分析,包括CD163、CD68、CD3、CD8和CD20,在组织微阵列中使用模拟刻度进行。我们对23例有足够材料的病例进行全片组织检查,然后通过扫描载玻片和使用QuPath (0.4.4, Belfast, Northern Ireland)分析图像来评估免疫热点的阳性区域。我们将这些标记物的表达与临床结果联系起来。适当采用对数秩检验和Kaplan-Meyer曲线(显著性:p≤0.05)。结果:最常见的形态学亚型为单相(59.6%),其次为双相(26.9%)和未分化(7%)。平均疾病特异性生存期(DSS)为55.3个月,中位为33个月。中位总生存期(OS)为50个月(2-336个月)。两种评价方法对所有抗体均显示良好的相关性,卡方值p < 0.05。所有病例均显示不同数量的cd163阳性巨噬细胞。在数字分析的全片图像中显示cd163阳性巨噬细胞密度较高的病例表明Kaplan-Meier曲线上的OS和DSS有所改善。CD8和CD3阳性较低的病例进展较快,预后稍差。结论:肉瘤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局的影响。我们的研究结果表明,肿瘤内cd163阳性巨噬细胞浸润量的增加与OS和DSS的增加有关。我们的研究结果表明,数字病理学比主观定量分析更精确。
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来源期刊
Journal of Personalized Medicine
Journal of Personalized Medicine Medicine-Medicine (miscellaneous)
CiteScore
4.10
自引率
0.00%
发文量
1878
审稿时长
11 weeks
期刊介绍: Journal of Personalized Medicine (JPM; ISSN 2075-4426) is an international, open access journal aimed at bringing all aspects of personalized medicine to one platform. JPM publishes cutting edge, innovative preclinical and translational scientific research and technologies related to personalized medicine (e.g., pharmacogenomics/proteomics, systems biology). JPM recognizes that personalized medicine—the assessment of genetic, environmental and host factors that cause variability of individuals—is a challenging, transdisciplinary topic that requires discussions from a range of experts. For a comprehensive perspective of personalized medicine, JPM aims to integrate expertise from the molecular and translational sciences, therapeutics and diagnostics, as well as discussions of regulatory, social, ethical and policy aspects. We provide a forum to bring together academic and clinical researchers, biotechnology, diagnostic and pharmaceutical companies, health professionals, regulatory and ethical experts, and government and regulatory authorities.
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