Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 270

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Proliferating macrophages associated with high grade, hormone receptor negative breast cancer and poor clinical outcome

Open access
Campbell, Michael J., Tonlaar, Nathan Y., Garwood, Elisabeth R., Huo, Dezheng, Moore, Dan H., Khramtsov, Andrey I., Au, Afred, Baehner, Frederick, Chen, Yinghua, Malaka, David O., Lin, Amy, Adeyanju, Oyinlolu O., Li, Shihong, Gong, Can, McGrath, Michael, Olopade, Olufunmilayo I., Esserman, Laura J.·2011·Breast Cancer Research and Treatment

Abstract

Macrophages, a key cell in the inflammatory cascade, have been associated with poor prognosis in cancers, including breast cancer. In this study, we investigated the relationship of a subset of macrophages—proliferating macrophages (promacs)—with clinico-pathologic characteristics of breast cancer, including tumor size, grade, stage, lymph node metastases, hormone receptor status, subtype, as well as early recurrence, and survival. This study included a discovery and validation set that was conducted at two institutions and laboratories (University of California, San Francisco and University of Chicago) using two independent cohorts of patients with breast cancer. Formalin-fixed, paraffin-embedded sections and/or tissue microarrays were double-stained with anti-CD68 (a macrophage marker) and anti-PCNA (a proliferation marker) antibodies. The presence of intratumoral promacs was significantly correlated with high grade, hormone receptor negative tumors, and a basal-like subtype. In contrast, there was no correlation between promacs and tumor size, stage, or the number of the involved lymph nodes. These findings were consistent between the two study cohorts. Finally, promac numbers were a significant predictor of recurrence and survival. In the pooled analysis, elevated promac levels were associated with a 77% increased risk of dying (P = 0.015). The presence of promacs in human breast cancer may serve as a prognostic indicator for poor outcomes and early recurrence and serve as a potential cellular target for novel therapeutic interventions.

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 · 10.1007/s10549-010-1154-y

Cites

19 of 19 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 19 references

Cited by

See all 270

Metadata

Authors
Campbell, M. J., Tonlaar, N. Y., Garwood, E. R., Huo, D., Moore, D. H., Khramtsov, A. I., Au, A., Baehner, F., Chen, Y., Malaka, D. O., Lin, A., Adeyanju, O. O., Li, S., Gong, C., McGrath, M., Olopade, O. I., & Esserman, L. J.
Venue
Breast Cancer Research and Treatment
Published
2010-09-15
Volume
128
Issue
3
Pages
703-711
ISSN
  • 0167-6806 (ISSN-L)
  • 1573-7217
OpenAlex
W1999873680
Cited by
270
References
19
FWCI
5.27
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: Proliferating macrophages associated with high grade, hormone receptor negative breast cancer and poor clinical outcome. https://app.cochat.ai/papers/10.1007/s10549-010-1154-y
The paper
Campbell, M. J., Tonlaar, N. Y., Garwood, E. R., Huo, D., Moore, D. H., Khramtsov, A. I., Au, A., Baehner, F., Chen, Y., Malaka, D. O., Lin, A., Adeyanju, O. O., Li, S., Gong, C., McGrath, M., Olopade, O. I., & Esserman, L. J. (2011). Proliferating macrophages associated with high grade, hormone receptor negative breast cancer and poor clinical outcome. Breast Cancer Research and Treatment. https://doi.org/10.1007/s10549-010-1154-y

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.