A biomarker analysis method based on multiple immunohistochemical techniques and its application
A biomarker and immunohistochemical technology, applied in the field of biological detection and analysis, can solve problems such as the inability to explain the spatial relationship of tumor cells well, and achieve the effect of reducing the complicated work
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Embodiment 1
[0075] The sample used in this example is a tumor tissue sample from a clinical lung cancer patient (Patient1) tested in our laboratory. Multiplex immunohistochemical staining (e.g., 7-color MOTiF for lung cancer) TM PD-1 / PD-L1 Panel kit, including 6 kinds of antibodies targeting FoxP3, PD-L1, PanCK, PD-1, CD8, CD68), used to label fluorescent positive cells, and processed by VECTRA POLARIS system Scan to obtain immunohistochemical microscopic panorama. Select the target area (area including tumor inner cells, tumor border cells, and stromal cells) through Phenochart, import it into the inForm system, use the official predefined rule-based lung cancer algorithm to obtain histomorphological classification and cell phenotype, and export the data for biological use. Marker analysis and calculation.
[0076] The biomarker analysis steps are as follows:
[0077] 1. Read data: import "*cell_seg_data.txt" data to Rstudio;
[0078] 2. Extract data: extract key information columns ...
Embodiment 2
[0089] The sample used in this example is the tumor tissue sample of another clinical lung cancer patient (Patient2) tested in our laboratory. Multiple immunohistochemical staining (7 colors and 6 labels: FoxP3, PD-L1, PanCK, PD-1, CD8, CD68) of the patient's tumor tissue sample has been completed, and the immunohistochemical staining was obtained by whole-slice scanning with the VECTRA POLARIS system Microscopic panorama. Select the target area (area including tumor inner cells, tumor border cells, and stromal cells) through Phenochart, import it into the inForm system, use the official predefined rule-based lung cancer algorithm for histomorphological classification and cell typing, and export data for biological use Marker analysis and calculation.
[0090] The biomarker analysis steps are as follows:
[0091] 1. Read data: import "*cell_seg_data.txt" data to Rstudio;
[0092]2. Extract data: extract key information columns (including: histomorphological classification c...
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