Dissecting the immune landscape of tumor draining lymph nodes in melanoma with high-plex spatially resolved protein detection

利用高重空间分辨蛋白质检测剖析黑色素瘤肿瘤引流淋巴结的免疫景观

阅读:6
作者:Georgia M Beasley, Aaron D Therien, Eda K Holl, Rami Al-Rohil, Maria Angelica Selim, Nellie E Farrow, Liuliu Pan, Premi Haynes, Yan Liang, Douglas S Tyler, Brent A Hanks, Smita K Nair

Background

In melanoma patients, microscopic tumor in the sentinel lymph-node biopsy (SLN) increases the risk of distant metastases, but the transition from tumor in the SLN to metastatic disease remains poorly understood.

Conclusion

We demonstrate the feasibility of profiling the protein expression of CD11c cells within the SLN tumor. Identifying early regulators of melanoma control when the disease is microscopically detected in the SLN is beneficial and requires follow-up studies in a larger cohort of patients.

Methods

Fluorescent staining for CD3, CD20, CD11c, and DNA was performed on SLN tissue and matching primary tumors. Regions of interest (ROI) were then chosen geometrically (e.g., tumor) or by fluorescent cell subset markers (e.g., CD11c). Each ROI was further analyzed using NanoString Digital Spatial Profiling high-resolution multiplex profiling. Digital counts for 59-panel immune-related proteins were collected and normalized to account for system variation and ROI area.

Results

Tumor regions of SLNs had variable infiltration of CD3 cells among patients. The patient with overall survival (OS) > 8 years had the most CD11c- and CD3-expressing cells infiltrating the SLN tumor region. All patients had CD11c (dendritic cell, DC) infiltration into the SLN tumor region. Selecting ROI by specific cell subtype, we compared protein expression of CD11c cells between tumor and non-tumor/normal tissue SLN regions. Known markers of DC activation such as CD86, HLA-DR, and OX40L were lowest on CD11c cells within SLN tumor for the patient with OS < 1 year and highest on the patient with OS > 8 years.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。