The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Tumor Microenvironment of Metastasis in Human Breast Carcinoma: A Potential Prognostic Marker Linked to Hematogenous Dissemination
Open accessAbstract
Purpose: Multiphoton-based intravital imaging has shown that invasive carcinoma cells in mouse and rat mammary tumors intravasate when associated with perivascular macrophages, identifying a potential tumor microenvironment of metastasis (TMEM). We define TMEM as the tripartite arrangement of an invasive carcinoma cell, a macrophage, and an endothelial cell. The aim of this study was to determine if TMEM density in human breast carcinoma samples predicts the development of systemic, hematogenous metastases. Experimental Design: A case-control study of 30 patients who developed metastatic breast cancer and 30 patients without metastatic disease was done. Cases were matched to controls based on currently used prognostic criteria. Paraffin-embedded primary breast cancer samples were stained using a triple immunohistochemical method allowing simultaneous identification of carcinoma cells, macrophages, and endothelial cells. Two pathologists, blinded to outcome, evaluated the number of TMEM per 20 high-power fields. Results: No association was seen between TMEM density and tumor size or grade, lymph node metastasis, lymphovascular invasion, or hormone receptor status. TMEM density was greater in the group of patients who developed systemic metastases compared with the patients with only localized breast cancer (median, 105 versus 50, respectively; P = 0.00006). For every 10-unit increase in TMEM density, the odds ratio for systemic metastasis was 1.9 (95% confidence interval, 1.1-3.4). Conclusions: TMEM density predicted the development of systemic, hematogenous metastases. The ability of TMEM to predict distant metastasis was independent of lymph node status and other currently used prognosticators. Quantitation of TMEM may be a useful new prognostic marker for breast cancer patients.
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.
Integrity signals
Registry
Cites
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.
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
Breast cancer metastasis: markers and models
Weigelt, B., Peterse, J. L., & van't Veer, L. J. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1670 · Cited by 2,232
Bingle, L., Brown, N. J., & Lewis, C. E. (2002) · The Journal of Pathology · doi:10.1002/path.1027 · Cited by 2,022
Cited by
Microenvironmental regulation of tumor progression and metastasis
Quail, D. F., & Joyce, J. A. (2013) · Nature Medicine · doi:10.1038/nm.3394 · Cited by 7,994
Nieto, M. A., Huang, R. Y.-J., Jackson, R. A., & Thiery, J. P. (2016) · Cell · doi:10.1016/j.cell.2016.06.028 · Cited by 4,492
The evolving tumor microenvironment: From cancer initiation to metastatic outgrowth
de Visser, K. E., & Joyce, J. A. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.02.016 · Cited by 4,059
Microenvironmental regulation of metastasis
Joyce, J. A., & Pollard, J. W. (2009) · Nature Reviews Cancer · doi:10.1038/nrc2618 · Cited by 3,684
Lin, Y., Xu, J., & Lan, H. (2019) · Journal of Hematology & Oncology · doi:10.1186/s13045-019-0760-3 · Cited by 1,398
Metadata
- Authors
- Robinson, B. D., Sica, G. L., Liu, Y.-F., Rohan, T. E., Gertler, F. B., Condeelis, J. S., & Jones, J. G.
- Venue
- Clinical Cancer Research
- Published
- 2009-04-01
- Volume
- 15
- Issue
- 7
- Pages
- 2433-2441
- ISSN
- 1078-0432 (ISSN-L)
- 1557-3265
- OpenAlex
- W2156144879
- Cited by
- 342
- References
- 2
- FWCI
- 8.02
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Tumor Microenvironment of Metastasis in Human Breast Carcinoma: A Potential Prognostic Marker Linked to Hematogenous Dissemination. https://app.cochat.ai/papers/10.1158/1078-0432.ccr-08-2179
- The paper
- Robinson, B. D., Sica, G. L., Liu, Y.-F., Rohan, T. E., Gertler, F. B., Condeelis, J. S., & Jones, J. G. (2009). Tumor Microenvironment of Metastasis in Human Breast Carcinoma: A Potential Prognostic Marker Linked to Hematogenous Dissemination. Clinical Cancer Research. https://doi.org/10.1158/1078-0432.ccr-08-2179
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.