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Spatial and Temporal Mapping of Breast Cancer Lung Metastases Identify TREM2 Macrophages as Regulators of the Metastatic Boundary
Yofe I, Shami T, Cohen N, Landsberger T, Sheban F, Stoler-Barak L, Yalin A, Phan TS et al.. Cancer discovery, 2023-12-01
Topic: Brain proteins, microglia and lab models
Cancer mortality primarily stems from metastatic recurrence, emphasizing the urgent need for developing effective metastasis-targeted immunotherapies. To better understand the cellular and molecular events shaping metastatic niches, we used a spontaneous breast cancer lung metastasis model to create a single-cell atlas spanning different metastatic stages and regions. We found that premetastatic lungs are infiltrated by inflammatory neutrophils and monocytes, followed by the accumulation of suppressive macrophages with the emergence of metastases.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Yofe, I., Shami, T., Cohen, N., Landsberger, T., Sheban, F., Stoler-Barak, L., et al. (2023). Spatial and Temporal Mapping of Breast Cancer Lung Metastases Identify TREM2 Macrophages as Regulators of the Metastatic Boundary. Cancer discovery. https://doi.org/10.1158/2159-8290.cd-23-0299
Vancouver
Yofe I, Shami T, Cohen N, Landsberger T, Sheban F, Stoler-Barak L, et al. Spatial and Temporal Mapping of Breast Cancer Lung Metastases Identify TREM2 Macrophages as Regulators of the Metastatic Boundary. Cancer discovery. 2023. doi:10.1158/2159-8290.cd-23-0299. PMID: 37756565.
BibTeX
@article{yofe2023-37756565,
author = {Yofe, I. and Shami, T. and Cohen, N. and Landsberger, T. and Sheban, F. and Stoler-Barak, L. and Yalin, A. and Phan, T. S. and others},
title = {{Spatial and Temporal Mapping of Breast Cancer Lung Metastases Identify TREM2 Macrophages as Regulators of the Metastatic Boundary}},
journal = {Cancer discovery},
year = {2023},
doi = {10.1158/2159-8290.cd-23-0299},
pmid = {37756565},
url = {https://doi.org/10.1158/2159-8290.cd-23-0299}
}
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Key findings
- To better understand the cellular and molecular events shaping metastatic niches, we used a spontaneous breast cancer lung metastasis model to create a single-cell atlas spanning different metastatic stages and regions.
- We found that premetastatic lungs are infiltrated by inflammatory neutrophils and monocytes, followed by the accumulation of suppressive macrophages with the emergence of metastases.
- Spatial profiling revealed that metastasis-associated immune cells were present in the metastasis core, with the exception of TREM2+ regulatory macrophages uniquely enriched at the metastatic invasive margin, consistent across both murine models and human patient samples.
- These regulatory macrophages (Mreg) contribute to the formation of an immune-suppressive niche, cloaking tumor cells from immune surveillance.
Why it matters
This study is about breast cancer lung metastases and identified TREM2 macrophages at the metastatic boundary in mice. It provides no evidence about treating, curing, or preventing Alzheimer's disease.
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Study details
- Evidence strengthLow
How this study scored 50/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Cancer discovery) |
| Journal's citation record | 3 / 4 | Cancer Discovery: journal h-index 303 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 3 / 5 | 2023 — within 6 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 5 / 7 | Cited 126 times (OpenAlex, 2026-10-10) |
| Citations per year | 4 / 5 | 25.2 citations a year over 5 year(s) since 2023 |
| Impact for its field and year | 4 / 6 | Cited 11.5× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 3 / 4 | Cited 124 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 4 / 4 | Last-listed author Ido Amit: h-index 114 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | Weizmann Institute of Science: institution h-index 1,080 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 2 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 37756565) |
| Free to read | 2 / 2 | Free to read |
| Total | 50 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1158/2159-8290.cd-23-0299
- PubMed: 37756565
- Original source →
- Free full text: PubMed Central →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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