Predicting Cancer Survival Using Multi-marker, Computer-Aided Method to Determine Phenotypes of Lymphocytes in Melanoma Tissue Sections

| October 31, 2013

PEThe capacity of lymphocytes to infiltrate tumors is essential for T-lymphocyte-mediated tumor destruction and a high degree of tumor-infiltrating lymphocytes (TILs) is associated with a better prognosis. An understanding of the phenotype and spatial distribution of TILs within tumor regions would be valuable for characterizing host response.

PerkinElmer’s novel multi-marker and counting approach using the Vectra® multispectral imaging system and inForm® analysis software shows the potential for broad applicability in the assessment of TILs in melanoma sections.

View our application notePhenotyping of Tumor-infiltrating Lymphocytes in Melanoma using Multiplexed Immunohistochemistry and Automated Tissue Analysis’ to learn more.

Highlights of application note include:

  • Predicting cancer survival through the characterization of tumor-infiltrating lymphocytes in FFPE tissue
  • High throughput image analysis of melanoma tissue microarray (TMA) cores
  • Automated quantitation of multi-color immunohistochemical stains using Vectra and inForm


Category: Anatomic Pathology, Clinical Laboratories, Clinical Pathology, Device Manufacturers, Digital Pathology News, Image Analysis, Medical Research, Pathology News

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