The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Circulating interleukin‐6 predicts survival in patients with metastatic breast cancer
Open accessAbstract
Interleukin‐6 (IL‐6) is a multifunctional cytokine produced by macrophages, T cells, B cells, endothelial cells and tumour cells. Interleukin‐6 is able to promote tumour growth by upregulating anti‐apoptotic and angiogenic proteins in tumour cells. In murine models it has been demonstrated that antibodies against IL‐6 diminish tumour growth. Several reports have highlighted the prognostic importance of IL‐6 in e.g., prostate and colon cancer. We addressed prospectively the prognostic significance of serum IL‐6 (sIL‐6), measured at diagnosis of metastasis, in 96 unselected and consecutive patients with progressive metastatic breast cancer before the initiation of systemic therapy. The median sIL‐6 value for the breast cancer population was 6.6 ± 2.1 pg/ml. Patients with 2 or more metastatic sites had higher sIL‐6 values compared to those with only 1 metastatic site (respectively 8.15 ± 1.7 pg/ml and 3.06 ± 6.6 pg/ml; p < 0.001). Patients with liver metastasis (8.3 ± 2.4 pg/ml), with pleural effusions (10.65 ± 9.9 pg/ml) and with dominant visceral disease (8.15 ± 3.3 pg/ml) had significantly higher values compared to those without liver metastases (4.5 ± 3.4 pg/ml; p = 0.001), without pleural effusions (5.45 ± 1.5 pg/ml; p = 0.0077) and with dominant bone disease (4.5 ± 1.4 pg/ml; p = 0.007) respectively. No correlation between sIL‐6 and age, menopausal status, performance status, tumour grade, body‐mass index, histology and hormone receptor status was found. Multivariate analysis showed that high levels of serum IL‐6 have independent prognostic value. We conclude that circulating IL‐6 is associated with worse survival in patients with metastatic breast cancer and is correlated with the extent of disease. © 2002 Wiley‐Liss, Inc.
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
Menetrier-Caux, C., Montmain, G., Dieu, M. C., Bain, C., Favrot, M. C., Caux, C., & Blay, J. Y. (1998) · Blood · doi:10.1182/blood.v92.12.4778 · Cited by 590
Prognostic value of serum interleukin-6 in diffuse large-cell lymphoma
Preti, H. A., Cabanillas, F., Talpaz, M., Tucker, S. L., Seymour, J. F., & Kurzrock, R. (1997) · Annals of Internal Medicine · doi:10.7326/0003-4819-127-3-199708010-00002 · Cited by 112
Cited by
Inflammation: The Common Pathway of Stress-Related Diseases
Liu, Y.-Z., Wang, Y.-X., & Jiang, C.-L. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00316 · Cited by 800
Interleukin-6 induces an epithelial-mesenchymal transition phenotype in human breast cancer cells
Sullivan, N. J., Sasser, A. K., Axel, A. E., Vesuna, F., Raman, V, Ramirez, N., Oberyszyn, T. M., & Hall, B. M. (2009) · Oncogene · doi:10.1038/onc.2009.180 · Cited by 757
Cytokines and their relationship to the symptoms and outcome of cancer
Seruga, B., Zhang, H., Bernstein, L. J., & Tannock, I. F. (2008) · Nature Reviews Cancer · doi:10.1038/nrc2507 · Cited by 652
Korkaya, H., Kim, G.-I., Davis, A., Malik, F., Henry, N. L., Ithimakin, S., Quraishi, A. A., Tawakkol, N., D'Angelo, R., Paulson, A. K., et al. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.06.014 · Cited by 538
Obesity, adipocytokines, and insulin resistance in breast cancer
Rose, D. P., Komninou, D., & Stephenson, G. D. (2004) · Obesity Reviews · doi:10.1111/j.1467-789x.2004.00142.x · Cited by 460
Metadata
- Authors
- Salgado, R., Junius, S., Benoy, I., Van Dam, P., Vermeulen, P., Van Marck, E., Huget, P., & Dirix, L. Y.
- Venue
- International Journal of Cancer
- Publisher
- Wiley
- Published
- 2002-11-25
- Volume
- 103
- Issue
- 5
- Pages
- 642-646
- ISSN
- 0020-7136 (ISSN-L)
- 1097-0215
- OpenAlex
- W2028194167
- Cited by
- 435
- References
- 2
- FWCI
- 2.99
- 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: Circulating interleukin‐6 predicts survival in patients with metastatic breast cancer. https://app.cochat.ai/papers/10.1002/ijc.10833
- The paper
- Salgado, R., Junius, S., Benoy, I., Van Dam, P., Vermeulen, P., Van Marck, E., Huget, P., & Dirix, L. Y. (2003). Circulating interleukin‐6 predicts survival in patients with metastatic breast cancer. International Journal of Cancer. https://doi.org/10.1002/ijc.10833
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.