Biomarker analysis method based on multiple immunohistochemical technologies and application thereof
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 complicated work.
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Embodiment 1
[0075] Sample used in this embodiment is a clinical patient (Patient1) tumor tissue sample 1 case of lung cancer in laboratory testing. 7 the completed multi-color MOTiF immunohistochemical staining of tissue samples of tumor patients (e.g., for lung cancer TM PD-1 / PD-L1 Panel kit, comprising a targeting FoxP3, PD-L1, PanCK, PD-1, CD8, 6 antibodies for CD68), for the labeling fluorescent-positive cells, and through the entire film system VECTRA POLARIS Get scanning microscopy immunohistochemistry panorama. Phenochart by selecting the target area (tumor inner cells containing, the boundary region of the tumor cells and stromal cells), introduced inForm system, using official lung algorithm predefined rule-based classification acquired morphological and phenotypic changes, export data for biological marker analysis and calculation.
[0076] Biomarker analysis following steps:
[0077] 1. Read Data: Import "* cell_seg_data.txt" data to RStudio;
[0078] 2. Data extraction: extract ...
Embodiment 2
[0089] Sample used in this embodiment is (Patient2) tumor tissue sample in another one embodiment the clinical laboratory testing of lung cancer patients. Completed the patient tissue tumor sample multiple immunohistochemical staining (color 6 7 standard: FoxP3, PD-L1, PanCK, PD-1, CD8, CD68), and after VECTRA POLARIS slide scanning system for full acquisition Immunohistochemistry microscopic panorama. Phenochart by selecting the target area (tumor inner cells containing, the boundary region of the tumor cells and stromal cells), introduced into the system inForm, lung using a predefined algorithm official rules are organized based on morphological classification and typing of cells derived biological data for marker analysis and calculation.
[0090] Biomarker analysis following steps:
[0091] 1. Read Data: Import "* cell_seg_data.txt" data to RStudio;
[0092]2. Extract data: Extract critical information columns (including: organizational morphological classification columns, c...
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