Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 293

The DOI matches its Crossref record; 204 of the 204 references it cites were found in a registry or an index.

Towards targeting of shared mechanisms of cancer metastasis and therapy resistance

Open access
Weiss, Felix, Lauffenburger, Douglas, Friedl, Peter·2022·Nature Reviews Cancer

Abstract

Resistance to therapeutic treatment and metastatic progression jointly determine a fatal outcome of cancer. Cancer metastasis and therapeutic resistance are traditionally studied as separate fields using non-overlapping strategies. However, emerging evidence, including from in vivo imaging and in vitro organotypic culture, now suggests that both programmes cooperate and reinforce each other in the invasion niche and persist upon metastatic evasion. As a consequence, cancer cell subpopulations exhibiting metastatic invasion undergo multistep reprogramming that — beyond migration signalling — supports repair programmes, anti-apoptosis processes, metabolic adaptation, stemness and survival. Shared metastasis and therapy resistance signalling are mediated by multiple mechanisms, such as engagement of integrins and other context receptors, cell–cell communication, stress responses and metabolic reprogramming, which cooperate with effects elicited by autocrine and paracrine chemokine and growth factor cues present in the activated tumour microenvironment. These signals empower metastatic cells to cope with therapeutic assault and survive. Identifying nodes shared in metastasis and therapy resistance signalling networks should offer new opportunities to improve anticancer therapy beyond current strategies, to eliminate both nodular lesions and cells in metastatic transit. This Perspective outlines how the signalling pathways enabling metastasis are often shared with those supporting resistance to cancer therapies. Identifying nodes within these shared signalling networks that could be targeted might result in more effective therapies for the treatment of rapidly growing solid tumours.

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/s41568-021-00427-0

Cites

204 of 204 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 204 references

Cited by

Metadata

Authors
Weiss, F., Lauffenburger, D., & Friedl, P.
Venue
Nature Reviews Cancer
Published
2022-01-10
Volume
22
Issue
3
Pages
157-173
ISSN
  • 1474-175X (ISSN-L)
  • 1474-1768
OpenAlex
W4206722756
Cited by
293
References
204
FWCI
10.59
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: Towards targeting of shared mechanisms of cancer metastasis and therapy resistance. https://app.cochat.ai/papers/10.1038/s41568-021-00427-0
The paper
Weiss, F., Lauffenburger, D., & Friedl, P. (2022). Towards targeting of shared mechanisms of cancer metastasis and therapy resistance. Nature Reviews Cancer. https://doi.org/10.1038/s41568-021-00427-0

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.