The implications of abnormal signal patterns of break-apart FISH probes used in the diagnosis of bone and soft tissue tumours.

IF 2.3 4区 医学 Q3 ONCOLOGY
Pathology & Oncology Research Pub Date : 2025-07-01 eCollection Date: 2025-01-01 DOI:10.3389/pore.2025.1612142
Hongtao Ye, Fitim Berisha, Evie Rowles, Emani Munasinghe, Christopher Davies, Akanksha Farswan, Nischalan Pillay
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引用次数: 0

Abstract

Many subtypes of bone and soft tissue tumours harbour specific chromosome translocations leading to chimeric fusion genes. The identification of these specific fusion genes is the basis of molecular diagnoses in such tumours. Break-apart FISH is a robust method that is commonly used to identify these translocations and provide diagnostic support to histological interpretations. The signal patterns of the break-apart probes are usually easily interpreted. However, some cases show abnormal signal patterns leading to equivocal and challenging interpretation. The incidence of these abnormal patterns is largely unknown. Using a retrospective cohort we explored the incidence of abnormal signal patterns across common bone and soft tissue tumour types to raise awareness of this occurrence and to aid in the interpretation. In total, 1,087 bone and soft tissue tumours tested by break-apart probes were examined. The abnormal signal patterns were classified as deletion, additional copy and amplification, which were found at highest frequency in low-grade fibromyxoid sarcoma (32%, 6/19), and at moderate frequencies in those from alveolar rhabdomyosarcoma (10%, 9/94), nodular fasciitis (9%, 18/209), synovial sarcoma (8%, 17/207) and Ewing sarcoma/round cell sarcoma with EWSR1-non-ETS fusions (6%, 29/497). The lowest frequency was found in clear cell sarcoma (1%, 1/61). Despite the equivocal results from the abnormal signal patterns, the specific fusion genes were confirmed by orthogonal molecular techniques such as FISH with fusion probes, RT-PCR or next-generation sequencing.

破裂FISH探针异常信号模式在骨和软组织肿瘤诊断中的意义。
许多骨和软组织肿瘤亚型都有特定的染色体易位导致嵌合融合基因。这些特异融合基因的鉴定是此类肿瘤分子诊断的基础。分离FISH是一种强大的方法,通常用于识别这些易位,并为组织学解释提供诊断支持。断裂探针的信号模式通常很容易解释。然而,一些病例显示异常的信号模式导致模棱两可和具有挑战性的解释。这些异常模式的发生率在很大程度上是未知的。通过回顾性队列研究,我们探讨了常见骨和软组织肿瘤类型中异常信号模式的发生率,以提高人们对这种情况的认识,并有助于解释。共检测了1087例骨和软组织肿瘤。异常信号模式被分类为缺失、额外复制和扩增,在低级别纤维黏液样肉瘤中发现的频率最高(32%,6/19),在肺泡横纹肌肉瘤(10%,9/94)、结节性筋膜炎(9%,18/209)、滑膜肉瘤(8%,17/207)和ewsr1 -非ets融合的Ewing肉瘤/轮细胞肉瘤(6%,29/497)中发现的频率中等。透明细胞肉瘤发生率最低(1%,1/61)。尽管异常信号模式的结果模棱两可,但通过正交分子技术(如FISH与融合探针、RT-PCR或下一代测序)证实了特异性融合基因。
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来源期刊
CiteScore
6.30
自引率
0.00%
发文量
134
审稿时长
4-8 weeks
期刊介绍: Pathology & Oncology Research (POR) is an interdisciplinary Journal at the interface of pathology and oncology including the preclinical and translational research, diagnostics and therapy. Furthermore, POR is an international forum for the rapid communication of reviews, original research, critical and topical reports with excellence and novelty. Published quarterly, POR is dedicated to keeping scientists informed of developments on the selected biomedical fields bridging the gap between basic research and clinical medicine. It is a special aim for POR to promote pathological and oncological publishing activity of colleagues in the Central and East European region. The journal will be of interest to pathologists, and a broad range of experimental and clinical oncologists, and related experts. POR is supported by an acknowledged international advisory board and the Arányi Fundation for modern pathology.
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