4.3 Article

In situ imaging for tumor microbiome interactions via imaging mass cytometry on single-cell level

Journal

CYTOMETRY PART A
Volume 101, Issue 8, Pages 617-629

Publisher

WILEY
DOI: 10.1002/cyto.a.24550

Keywords

bioinformatics; breast cancer; hybrid probes; imaging mass cytometry; mass tags; tumor microenvironment

Funding

  1. Shanghai Municipal Science and Technology Project [18430760500, 2017SHZDZX01]
  2. Shanghai Municipal Education Commission Project [ZXWF082101]
  3. Shanghai Jiao Tong University Projects [YG2021ZD19, Agri-X20200101, SL2020MS026, 19X190020154, ZH2018ZDA01, YG2016QN24, YG2016MS60, SD0820016, 2020 SJTU-HUJI, 2019 SJTU-Usyd]
  4. Shanghai Municipal Health Comission Project [2019CXJQ03]
  5. Shanghai Clinical Medical Research Center Project [19MC1910800]
  6. AEMD SJTU

Ask authors/readers for more resources

In this study, a rapid semi-quantitative method for in situ imaging of bacteria and multiplex cell phenotypes on the same solid tumor tissue sections was developed. The findings reveal that breast cancer cells are commonly enriched with Gram-negative bacteria and almost absent of Gram-positive bacteria, regardless of the cancer subtypes. The presence of Gram-negative bacteria has a significant correlation with CD8+ T-cells in HER2+ breast cancer.
Co-detection of multiplex cancer subtypes and bacteria subtypes in situ is crucial for understanding tumor microbiome interactions in tumor microenvironment. Current standard techniques such as immunohistochemical staining and immunofluorescence staining are limited for their multiplicity. Simultaneously visualizing detailed cell subtypes and bacteria distribution across the same pathological section remains a major technical challenge. Herein, we developed a rapid semi-quantitative method for in situ imaging of bacteria and multiplex cell phenotypes on the same solid tumor tissue sections. We designed a panel of antibody probes labeled with mass tags, namely prokaryotic and eukaryotic cell hybrid probes for in situ imaging (PEHPSI). For application demonstration, PEHPSI stained two bacteria subtypes (lipopolysaccharides (LPS) for Gram-negative bacteria and lipoteichoic acid (LTA) for Gram-positive bacteria) simultaneously with four types of immune cells (leukocytes, CD8 + T-cells, B-cells and macrophages) and four breast cancer subtypes (classified by a panel of 12 human proteins) on the same tissue section. We unveiled that breast cancer cells are commonly enriched with Gram-negative bacteria and almost absent of Gram-positive bacteria, regardless of the cancer subtypes (triple-negative breast cancer [TNBC], HER2+, Luminal A and Luminal B). Further analysis revealed that on the single-cell level, Gram-negative bacteria have a significant correlation with CD8 + T-cells only in HER2+ breast cancer, while PKCD, ER, PR and Ki67 are correlated with Gram-negative bacteria in the other three subtypes of breast cancers. On the cell population level, in TNBC, CD19 expression intensity is up-regulated by approximately 25% in bacteria-enriched cells, while for HER2+, Luminal A and Luminal B breast cancers, the intensity of biomarkers associated with the malignancy, metastasis and proliferation of cancer cells (PKCD, ISG15 and IFI6) is down-regulated by 29%-38%. The flexible and expandable PEHPSI system permits intuitive multiplex co-visualization of bacteria and mammalian cells, which facilitates future research on tumor microbiome and tumor pathogenesis.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available