Literature DB >> 29282718

Multispectral imaging for quantitative and compartment-specific immune infiltrates reveals distinct immune profiles that classify lung cancer patients.

Artur Mezheyeuski1, Christian Holst Bergsland2, Max Backman1, Dijana Djureinovic1, Tobias Sjöblom1, Jarle Bruun2, Patrick Micke1.   

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) 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. Copyright © 2017 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Entities:  

Keywords:  PD-L1; checkpoint therapy; deep-learning microscopy; digital pathology; prognosis; tumour microenvironment

Mesh:

Substances:

Year:  2018        PMID: 29282718     DOI: 10.1002/path.5026

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  50 in total

Review 1.  Enhancing the Value of Histopathological Assessment of Allograft Biopsy Monitoring.

Authors:  Michelle A Wood-Trageser; Andrew J Lesniak; Anthony J Demetris
Journal:  Transplantation       Date:  2019-07       Impact factor: 4.939

2.  Multiplex Immunofluorescence Histology for Immune Cell Infiltrates in Melanoma-Associated Tertiary Lymphoid Structures.

Authors:  Ileana S Mauldin; Adela Mahmutovic; Samuel J Young; Craig L Slingluff
Journal:  Methods Mol Biol       Date:  2021

3.  Deconvolution of the immunological contexture of mouse tumors with multiplexed immunohistochemistry.

Authors:  Ileana S Mauldin; Natasha D Sheybani; Samuel J Young; Richard J Price; Craig L Slingluff
Journal:  Methods Enzymol       Date:  2019-06-29       Impact factor: 1.600

4.  Y Chromosome LncRNA Are Involved in Radiation Response of Male Non-Small Cell Lung Cancer Cells.

Authors:  Tayvia Brownmiller; Jamie A Juric; Abby D Ivey; Brandon M Harvey; Emily S Westemeier; Michael T Winters; Alyson M Stevens; Alana N Stanley; Karen E Hayes; Samuel A Sprowls; Amanda S Gatesman Ammer; Mackenzee Walker; Erik A Bey; Xiaoliang Wu; Zuan-Fu Lim; Lin Zhu; Sijin Wen; Gangqing Hu; Patrick C Ma; Ivan Martinez
Journal:  Cancer Res       Date:  2020-07-02       Impact factor: 12.701

5.  Cancer stemness, intratumoral heterogeneity, and immune response across cancers.

Authors:  Alex Miranda; Phineas T Hamilton; Allen W Zhang; Swetansu Pattnaik; Etienne Becht; Artur Mezheyeuski; Jarle Bruun; Patrick Micke; Aurélien de Reynies; Brad H Nelson
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-17       Impact factor: 11.205

6.  Multiplexed Imaging for Immune Profiling on Human FFPE Material.

Authors:  Artur Mezheyeuski; Carina Strell
Journal:  Methods Mol Biol       Date:  2021

7.  Microenvironmental Th9 and Th17 lymphocytes induce metastatic spreading in lung cancer.

Authors:  Ylia Salazar; Xiang Zheng; David Brunn; Hartmann Raifer; Felix Picard; Yajuan Zhang; Hauke Winter; Stefan Guenther; Andreas Weigert; Benno Weigmann; Laure Dumoutier; Jean-Christophe Renauld; Ari Waisman; Anja Schmall; Amanda Tufman; Ludger Fink; Bernhard Brüne; Tobias Bopp; Friedrich Grimminger; Werner Seeger; Soni Savai Pullamsetti; Magdalena Huber; Rajkumar Savai
Journal:  J Clin Invest       Date:  2020-07-01       Impact factor: 14.808

8.  Association of Programmed Death-Ligand 1 Expression with Fusion Variants and Clinical Outcomes in Patients with Anaplastic Lymphoma Kinase-Positive Lung Adenocarcinoma Receiving Crizotinib.

Authors:  Ching-Yao Yang; Wei-Yu Liao; Chao-Chi Ho; Kuan-Yu Chen; Tzu-Hsiu Tsai; Chia-Lin Hsu; Yi-Nan Liu; Kang-Yi Su; Yih-Leong Chang; Chen-Tu Wu; Bin-Chi Liao; Chia-Chi Hsu; Wei-Hsun Hsu; Jih-Hsiang Lee; Chia-Chi Lin; Jin-Yuan Shih; James Chih-Hsin Yang; Chong-Jen Yu
Journal:  Oncologist       Date:  2020-05-13

9.  DCBLD1 is associated with the integrin signaling pathway and has prognostic value in non-small cell lung and invasive breast carcinoma.

Authors:  Guillaume B Cardin; Monique Bernard; Francis Rodier; Apostolos Christopoulos
Journal:  Sci Rep       Date:  2021-06-17       Impact factor: 4.379

Review 10.  Spatial architecture of the immune microenvironment orchestrates tumor immunity and therapeutic response.

Authors:  Tong Fu; Lei-Jie Dai; Song-Yang Wu; Yi Xiao; Ding Ma; Yi-Zhou Jiang; Zhi-Ming Shao
Journal:  J Hematol Oncol       Date:  2021-06-25       Impact factor: 17.388

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.