Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 561

The DOI matches its Crossref record; 155 of the 155 references it cites were found in a registry or an index.

Cancer stem cell–immune cell crosstalk in tumour progression

Open access
Bayik, Defne, Lathia, Justin D.·2021·Nature Reviews Cancer

Abstract

Cellular heterogeneity and an immunosuppressive tumour microenvironment are independent yet synergistic drivers of tumour progression and underlie therapeutic resistance. Recent studies have highlighted the complex interaction between these cell-intrinsic and cell-extrinsic mechanisms. The reciprocal communication between cancer stem cells (CSCs) and infiltrating immune cell populations in the tumour microenvironment is a paradigm for these interactions. In this Perspective, we discuss the signalling programmes that simultaneously induce CSCs and reprogramme the immune response to facilitate tumour immune evasion, metastasis and recurrence. We further highlight biological factors that can impact the nature of CSC–immune cell communication. Finally, we discuss targeting opportunities for simultaneous regulation of the CSC niche and immunosurveillance. This Perspective discusses the signalling programmes and biological factors that simultaneously induce cancer stem cells and reprogramme the immune response to facilitate tumour immune evasion. It also highlights therapeutic opportunities for simultaneous targeting of the cancer stem cell niche and immunosurveillance.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41568-021-00366-w

Cites

155 of 155 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 155 references

Cited by

See all 561

Metadata

Authors
Bayik, D., & Lathia, J. D.
Venue
Nature Reviews Cancer
Published
2021-06-08
Volume
21
Issue
8
Pages
526-536
ISSN
  • 1474-175X (ISSN-L)
  • 1474-1768
OpenAlex
W3172039897
Cited by
561
References
155
FWCI
14.54
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Cancer stem cell–immune cell crosstalk in tumour progression. https://app.cochat.ai/papers/10.1038/s41568-021-00366-w
The paper
Bayik, D., & Lathia, J. D. (2021). Cancer stem cell–immune cell crosstalk in tumour progression. Nature Reviews Cancer. https://doi.org/10.1038/s41568-021-00366-w

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.