Multispectral imaging for quantitative and compartment‐specific immune infiltrates reveals distinct immune profiles that classify lung cancer patients. Issue 4 (5th February 2018)
- Record Type:
- Journal Article
- Title:
- Multispectral imaging for quantitative and compartment‐specific immune infiltrates reveals distinct immune profiles that classify lung cancer patients. Issue 4 (5th February 2018)
- Main Title:
- Multispectral imaging for quantitative and compartment‐specific immune infiltrates reveals distinct immune profiles that classify lung cancer patients
- Authors:
- Mezheyeuski, Artur
Bergsland, Christian Holst
Backman, Max
Djureinovic, Dijana
Sjöblom, Tobias
Bruun, Jarle
Micke, Patrick - Abstract:
- Abstract: Semiquantitative assessment of immune markers by immunohistochemistry (IHC) has significant limitations for describing the diversity of the immune response in cancer. Therefore, we evaluated a fluorescence‐based multiplexed immunohistochemical method in combination with a multispectral imaging system to quantify immune infiltrates in situ in the environment of non‐small‐cell lung cancer (NSCLC). A tissue microarray including 57 NSCLC cases was stained with antibodies against CD8, CD20, CD4, FOXP3, CD45RO, and pan‐cytokeratin, and immune cells were quantified in epithelial and stromal compartments. The results were compared with those of conventional IHC, and related to corresponding RNA‐sequencing (RNAseq) expression values. We found a strong correlation between the visual and digital quantification of lymphocytes for CD45RO (correlation coefficient: r = 0.52), FOXP3 ( r = 0.87), CD4 ( r = 0.79), CD20 ( r = 0.81) and CD8 ( r = 0.90) cells. The correlation with RNAseq data for digital quantification (0.35–0.65) was comparable to or better than that for visual quantification (0.38–0.58). Combination of the signals of the five immune markers enabled further subpopulations of lymphocytes to be identified and localized. The specific pattern of immune cell infiltration based either on the spatial distribution (distance between regulatory CD8 + T and cancer cells) or the relationships of lymphocyte subclasses with each other (e.g. cytotoxic/regulatory cell ratio) wereAbstract: Semiquantitative assessment of immune markers by immunohistochemistry (IHC) has significant limitations for describing the diversity of the immune response in cancer. Therefore, we evaluated a fluorescence‐based multiplexed immunohistochemical method in combination with a multispectral imaging system to quantify immune infiltrates in situ in the environment of non‐small‐cell lung cancer (NSCLC). A tissue microarray including 57 NSCLC cases was stained with antibodies against CD8, CD20, CD4, FOXP3, CD45RO, and pan‐cytokeratin, and immune cells were quantified in epithelial and stromal compartments. The results were compared with those of conventional IHC, and related to corresponding RNA‐sequencing (RNAseq) expression values. We found a strong correlation between the visual and digital quantification of lymphocytes for CD45RO (correlation coefficient: r = 0.52), FOXP3 ( r = 0.87), CD4 ( r = 0.79), CD20 ( r = 0.81) and CD8 ( r = 0.90) cells. The correlation with RNAseq data for digital quantification (0.35–0.65) was comparable to or better than that for visual quantification (0.38–0.58). Combination of the signals of the five immune markers enabled further subpopulations of lymphocytes to be identified and localized. The specific pattern of immune cell infiltration based either on the spatial distribution (distance between regulatory CD8 + T and cancer cells) or the relationships of lymphocyte subclasses with each other (e.g. cytotoxic/regulatory cell ratio) were associated with patient prognosis. In conclusion, the fluorescence multiplexed immunohistochemical method, based on only one tissue section, provided reliable quantification and localization of immune cells in cancer tissue. The application of this technique to clinical biopsies can provide a basic characterization of immune infiltrates to guide clinical decisions in the era of immunotherapy. Copyright © 2017 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd. … (more)
- Is Part Of:
- Journal of pathology. Volume 244:Issue 4(2018)
- Journal:
- Journal of pathology
- Issue:
- Volume 244:Issue 4(2018)
- Issue Display:
- Volume 244, Issue 4 (2018)
- Year:
- 2018
- Volume:
- 244
- Issue:
- 4
- Issue Sort Value:
- 2018-0244-0004-0000
- Page Start:
- 421
- Page End:
- 431
- Publication Date:
- 2018-02-05
- Subjects:
- digital pathology -- tumour microenvironment -- checkpoint therapy -- deep‐learning microscopy -- prognosis -- PD‐L1
Pathology -- Periodicals
616.07 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/path.5026 ↗
- Languages:
- English
- ISSNs:
- 0022-3417
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5029.900000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 10453.xml