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Sökning: onr:"swepub:oai:DiVA.org:oru-87641" > Tumor and immune ce...

  • Bekele, MahetemeSt. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia (författare)

Tumor and immune cell profiling in breast cancer using highly multiplexed imaging mass cytometry single-cell technology demonstrates tumor heterogeneity and immune phenotypic abnormality in Ethiopian women

  • Artikel/kapitelEngelska2020

Förlag, utgivningsår, omfång ...

  • American Association for Cancer Research,2020
  • printrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:oru-87641
  • https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-87641URI
  • https://doi.org/10.1158/1538-7445.TUMHET2020-PO-087DOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:vet swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • Background: Tumor heterogeneity represents a complex challenge to cancer treatment, disease recurrence, and patient survival. Imaging mass cytometry (IMC) is an emerging proteomic tool for cancer profiling in tumor tissue samples. IMC enables digital image analysis by multiplexed immunostaining of cells and proteins within tissue and preserves spatial relations within tumor environment. We have applied IMC based approach to study the heterogeneity of invasive breast carcinoma protein expression pattern in formalin fixed paraffin embedded tissues.Methods: A total of 10 region of interest (ROI) derived from 5 patients with primary invasive breast carcinoma representing three molecular subclasses (HR+/HER2-,HER2+/HR- and TNBC) were stained with a 30-marker IMC metal labeled antibody panel (α-SMA, EGFR, p53, CD33, CD16, CD163, CD11b, PDL1, CD31, CD45, D44,Vimentin, FoxP3, CD4, ECadherin, CD68, CD20, CD8a, Cytokeratin7, PD1, GranzymeB, Ki67, ColTypeI, CD3, CD45RO, HLADR, DARC & CD11c). Tissue imaging was done by quantifying the abundance of bound antibody with a Hyperion IMC. MCD Viewer was used for visualization purpose and to export raw 16-bit tiff images for segmentation on CellProfiler. Segmentation masks were combined with the individual tiff files to extract single-cell information from each individual image. HistoCAT was applied to perform unbiased clustering of cell populations using the PhenoGraph algorithm and clustered cell populations was overlaid on t-SNE plot. The relative marker expression was used to generate heat-maps and each cluster was manually assigned a phenotype based on its expression profile.Results: The t-SNE generated from each ROI revealed different distinct cell populations and we report the presence of diverse tumor and immune cell populations in our samples. The (min, max) number of PhenoGraph clustered tumor cell populations in HR+/HER2-, HER2+ and TNBC Cases were (5,8) (7,9) and (5,7) respectively. Similarly, the (min, max) number of PhenoGraph clustered immune cell populations in HR+/HER2-, HER2+ and TNBC Cases were (5,8) (7,9) and (5,7) respectively. We also document the presence of inter and intra-tumor heterogeniety in expression of PD1 and PDL1 in all the tumor subtypes studied. Additionally, we report a phenotypic abnormality in the immune cell populations identified with dual or triple markers expression of the canonical CD antigens of T-Cells, B-Cells and macrophages.Conclusion: The current study demonstrates high-dimensional visualization with the simultaneous analysis of epithelial, immune, and stromal components using IMC can be used to explore cell populations in tumor tissue to quantify tumor heterogeneity or identification of novel clustering patterns that has potential for translational research and clinical practice. Significance: This study presents the potential of Imaging Mass Cytometry and single cell analysis algorithms in multiplex high throughput tumor tissue studies.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Jibril, AishaSt. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia (författare)
  • Seifu, DanielAddis Ababa University, Addis Ababa, Ethiopia (författare)
  • Abebe, MarkosArmauer Hansen Research Institute, Addis Ababa, Ethiopia (författare)
  • Bekele, AbebeAddis Ababa University, Addis Ababa, Ethiopia (författare)
  • Tigneh, WondemagegnhuAddis Ababa University, Addis Ababa, Ethiopia (författare)
  • Bokretsion, YonasAddis Ababa University, Addis Ababa, Ethiopia (författare)
  • Karlsson, Christina,1968-Örebro universitet,Institutionen för hälsovetenskaper(Swepub:oru)ckn (författare)
  • Karlsson, Mats,1960-Örebro universitet,Institutionen för medicinska vetenskaper(Swepub:oru)mskn (författare)
  • Martini, RachelWeill Cornell Medical College, New York NY, USA (författare)
  • Elemento, OlivierWeill Cornell Medical College, New York NY, USA (författare)
  • Yates, ClaytonTuskegee University, Tuskegee AL, USA (författare)
  • Ginter, PaulaWeill Cornell Medical College, New York NY, USA (författare)
  • Newman, LisaWeill Cornell Medical College, New York NY, USA (författare)
  • Davis, MelissaWeill Cornell Medical College, New York NY, USA (författare)
  • Gebregzabher, Endale HadguSt. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia (författare)
  • St. Paul's Hospital Millennium Medical College, Addis Ababa, EthiopiaAddis Ababa University, Addis Ababa, Ethiopia (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Cancer Research: American Association for Cancer Research80:21 Suppl.0008-54721538-7445

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