In Situ Immunofluorescence Imaging of Vital Human Pancreatic Tissue Using Fiber-Optic Microscopy.

IF 3.3 Q2 ENGINEERING, BIOMEDICAL
International Journal of Biomedical Imaging Pub Date : 2024-06-06 eCollection Date: 2024-01-01 DOI:10.1155/2024/1397875
Sophia Ackermann, Maximilian Herold, Vincent Rohrbacher, Michael Schäfer, Marcell Tóth, Stefan Thomann, Thilo Hackert, Eduard Ryschich
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引用次数: 0

Abstract

Purpose: Surgical resection is the only curative option for pancreatic carcinoma, but disease-free and overall survival times after surgery are limited due to early tumor recurrence, most often originating from local microscopic tumor residues (R1 resection). The intraoperative identification of microscopic tumor residues within the resection margin in situ could improve surgical performance. The aim of this study was to evaluate the effectiveness of fiber-optic microscopy for detecting microscopic residues in vital pancreatic cancer tissues. Experimental Design. Fresh whole-mount human pancreatic tissues, histological tissue slides, cell culture, and chorioallantoic membrane xenografts were analyzed. Specimens were stained with selected fluorophore-conjugated antibodies and studied using conventional wide-field and self-designed multicolor fiber-optic fluorescence microscopy instruments.

Results: Whole-mount vital human tissues and xenografts were stained and imaged using an in situ immunofluorescence protocol. Fiber-optic microscopy enabled the detection of epitope-based fluorescence in vital whole-mount tissue using fluorophore-conjugated antibodies and enabled visualization of microvascular, epithelial, and malignant tumor cells. Among the selected antigen-antibody pairs, antibody clones WM59, AY13, and 9C4 were the most promising for fiber-optic imaging in human tissue samples and for endothelial, tumor and epithelial cell detection.

Conclusions: Fresh dissected whole-mount tissue can be stained using direct exposure to selected antibody clones. Several antibody clones were identified that provided excellent immunofluorescence imaging of labeled structures, such as endothelial, epithelial, or EGFR-expressing cells. The combination of in situ immunofluorescence staining and fiber-optic microscopy visualizes structures in vital tissues and could be proposed as an useful tool for the in situ identification of residual tumor mass in patients with a high operative risk for incomplete resection.

利用光纤显微镜对重要的人体胰腺组织进行原位免疫荧光成像。
目的:手术切除是根治胰腺癌的唯一选择,但由于肿瘤早期复发,术后无病生存期和总生存期受到限制,而肿瘤早期复发多源于局部微小肿瘤残留(R1切除)。术中原位识别切除边缘内的微小肿瘤残留可提高手术效果。本研究旨在评估光纤显微镜检测重要胰腺癌组织中微小残留物的有效性。实验设计。对新鲜的整张人体胰腺组织、组织切片、细胞培养物和绒毛膜异种移植体进行分析。标本用选定的荧光团结合抗体染色,并使用传统的宽视野和自行设计的多色光纤荧光显微镜仪器进行研究:使用原位免疫荧光方案对整块重要人体组织和异种移植物进行染色和成像。光纤显微镜能利用荧光团结合的抗体检测活体整装组织中的表位荧光,并能观察到微血管、上皮细胞和恶性肿瘤细胞。在所选的抗原-抗体对中,抗体克隆 WM59、AY13 和 9C4 最有希望在人体组织样本中进行光纤成像,并用于内皮细胞、肿瘤细胞和上皮细胞的检测:结论:新鲜解剖的整块组织可直接暴露于选定的抗体克隆进行染色。结论:直接暴露于选定的抗体克隆可对新鲜的解剖全贴面组织进行染色,已确定的几个抗体克隆可对标记结构(如内皮细胞、上皮细胞或表皮生长因子受体表达细胞)进行出色的免疫荧光成像。原位免疫荧光染色与光纤显微镜相结合,可观察到重要组织中的结构,可作为一种有用的工具,用于在手术风险较高且切除不彻底的患者中原位识别残余肿瘤块。
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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
11
审稿时长
20 weeks
期刊介绍: The International Journal of Biomedical Imaging is managed by a board of editors comprising internationally renowned active researchers. The journal is freely accessible online and also offered for purchase in print format. It employs a web-based review system to ensure swift turnaround times while maintaining high standards. In addition to regular issues, special issues are organized by guest editors. The subject areas covered include (but are not limited to): Digital radiography and tomosynthesis X-ray computed tomography (CT) Magnetic resonance imaging (MRI) Single photon emission computed tomography (SPECT) Positron emission tomography (PET) Ultrasound imaging Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography Neutron imaging for biomedical applications Magnetic and optical spectroscopy, and optical biopsy Optical, electron, scanning tunneling/atomic force microscopy Small animal imaging Functional, cellular, and molecular imaging Imaging assays for screening and molecular analysis Microarray image analysis and bioinformatics Emerging biomedical imaging techniques Imaging modality fusion Biomedical imaging instrumentation Biomedical image processing, pattern recognition, and analysis Biomedical image visualization, compression, transmission, and storage Imaging and modeling related to systems biology and systems biomedicine Applied mathematics, applied physics, and chemistry related to biomedical imaging Grid-enabling technology for biomedical imaging and informatics
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