Skip to main content

Advertisement

Log in

Understanding the regulation of “Don’t Eat-Me” signals by inflammatory signaling pathways in the tumor microenvironment for more effective therapy

  • Review
  • Published:
Journal of Cancer Research and Clinical Oncology Aims and scope Submit manuscript

Abstract

Introduction

Receptor/ligand pair immune checkpoints are inhibitors that regulate immunity as vital “Don’t Find-Me” signals to the adaptive immune system, additionally, the essential goals of anti-cancer therapy. Moreover, the immune checkpoints are involved in treatment resistance in cancer therapy. The immune checkpoints as a signal from “self” and their expression on healthy cells prevent phagocytosis. Cells (e.g., senescent and/or apoptotic cells) with low immune checkpoints, such as low CD47 and/or PD-L1, are phagocytosed, which is necessary for tissue integrity and homeostasis maintenance. In other words, cancer cells induce increased CD47 expression in the tumor microenvironment (TME), avoiding their clearance by immune cells. PD-L1 and/or CD47 expression tumors have also been employed as biomarkers to guide cure prospects. Thus, targeting innate and adaptive immune checkpoints might improve the influence of the treatments on tumor cells. However, the CD47 regulation in the TME stands intricate, so much of this process has stayed a riddle. In this line, less attention has been paid to cytokines in TME. Cytokines are significant regulators of tumor immune surveillance, and they do this by controlling the actions of the immune cell. Recently, it has been suggested that different types of cytokines at TME might cooperate with others that contribute to the regulation of CD47 and/or PD-L1.

Materials and methods

The data were searched in available databases and a Web Search engine (PubMed, Scopus, and Google Scholar) using related keywords in the title, abstract, and keywords.

Conclusion

Given the significant role of pro/anti-inflammatory signaling in the TME, we discuss the present understanding of pro/anti-inflammatory signaling implications in “Don’t Eat-Me” regulation signals, particularly CD47, in the pathophysiology of cancers and come up with innovative opinions for the clinical transformation and personalized medicine.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data availability

Not applicable.

Abbreviations

aCD47:

Anti-CD47 antibody

ACs:

Apoptotic cells

α-Pal/NRF-1:

Alpha palindromic-binding protein/nuclear respiratory factor 1

AML:

Acute myeloid leukemia

APCs:

Antigen-presenting cells

CAR-T:

Chimeric antigen receptor T

CD:

Cluster of differentiation

CTCL:

Cutaneous T-cell lymphomas

CXCL10:

C–X–C motif chemokine ligand 10

DCs:

Dendritic cells

EMT:

Epithelial–mesenchymal transition

EVs:

Extracellular vesicle

FDA:

Food and drug administration

GM-CSF:

Granulocyte–macrophage colony-stimulating factor

HMGB1:

High mobility group box 1 (

HIF-1:

Hypoxia-inducible factors 1

HPV:

Human papillomavirus

HSV:

Herpes simplex virus

IAP:

Integrin-associated protein

IFN-γ:

Interferon-gamma

IGS:

ImmunoGenic Surrender

IL-1β:

Interleukin 1 beta

ILs:

Interleukins

INF:

Interferon

ITIMs:

Immune-receptor tyrosine-based inhibitory motifs

JAK–STAT1–IRF1:

Janus kinase–signal transducer and activator of transcription 1–interferon regulatory factor 1

JNK:

C-jun N-terminal kinase

LILRB1:

Leucocyte immunoglobulin-like receptor family B, member 1

IL1RAP:

Interleukin 1 receptor accessory protein

LLC:

Lewis lung carcinoma

LPS:

Lipopolysaccharides

LRP1:

LDL receptor-related protein

MAPK:

Mitogen-activated protein kinase

MHC:

Major histocompatibility complex

NF-κB:

Nuclear factor-κB

NK:

Natural killer

NKG2D:

Natural killer group 2D

NSCLC:

Non-small cell lung cancer

PI3K:

Phosphoinositide 3-kinases

PKC:

Protein kinase C

Poly(I:C):

Polyinosinic–polycytidylic acid

RBCs:

Red blood cells

shRNA:

Small hairpin RNA

CD24–Siglec-10 axis:

Sialic acid binding Ig-like lectin 10

Sirf CAR-T:

Chimeric antigen receptor (CAR)-T cell secreting CD47 blocker signal regulatory protein α (SIRPα)-Fc fusion protein

SIRPα:

Signal regulatory protein alpha

SLAMF7:

Signaling lymphocytic activation molecule family member 7

Syk:

Spleen tyrosine kinase

TACE:

Transcatheter arterial chemoembolization

TGF-β:

Transforming growth factor beta

TLR9:

Toll-like receptor 9

TME:

Tumor microenvironment

TNFR1:

TNF receptor 1

TNF-α:

Tumor necrosis-factor alpha

TSP-1:

Thrombospondin-1

VEGF:

Vascular endothelial growth factor

VEGFR:

VEGF receptor

WBCs:

White blood cells

ZBTB28:

Zinc finger and BTB domain-containing protein 28

α-Pal/NRF-1:

α-Pal/nuclear respiratory factor 1

References

Download references

Acknowledgements

Thanks to guidance and advice from "The Pharmaceutical Sciences Research Center, Shiraz University of Medical Sciences".

Funding

This research received no specific grant from any funding agency in public, commercial or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Contributions

AZK, ZS, MA, SMGH and AT drafted the manuscript. AT presented the idea. AZK, ZS, MA, and AT performed the literature search, and SMG prepared Figs. 1 and 2. AZK, ZS, MA, and AT edited the manuscript. YG, AT, and AS supervised the whole study.

Corresponding authors

Correspondence to Amir Tajbakhsh or Amir Savardashtaki.

Ethics declarations

Conflict of interest

All authors declare that they have no competing interest in this article. All authors reviewed the manuscript.

Ethical approval

Not applicable.

Consent to participate

Not applicable.

Consent to publish

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Karizak, A.Z., Salmasi, Z., Gheibihayat, S.M. et al. Understanding the regulation of “Don’t Eat-Me” signals by inflammatory signaling pathways in the tumor microenvironment for more effective therapy. J Cancer Res Clin Oncol 149, 511–529 (2023). https://doi.org/10.1007/s00432-022-04452-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00432-022-04452-w

Keywords

Navigation