Osteopontin‐c is a selective marker of breast cancer
- 24 October 2007
- journal article
- research article
- Published by Wiley in International Journal of Cancer
- Vol. 122 (4), 889-897
- https://doi.org/10.1002/ijc.23204
Abstract
While the acquisition of invasiveness is a critical step in early stage breast carcinomas (DCIS), no established molecular markers reliably identify tumor progression. The metastasis gene osteopontin is subject to alternative splicing, which yields 3 messages, osteopontin‐a, osteopontin‐b and osteopontin‐c. Osteopontin‐c is selectively expressed in invasive, but not in noninvasive, breast tumor cell lines, and it effectively supports anchorage independence. We evaluated osteopontin‐c as a biomarker. The RNA message for osteopontin‐c was present in 16 of 20 breast cancers (80%), but was undetectable in 22 normal specimens obtained from reduction mammoplasty. In contrast, osteopontin‐a RNA was expressed at various levels in all 20 breast cancers, 11 tumor‐surrounding tissues and 21 normal samples. The splice variant osteopontin‐b was present at barely detectable levels in 18 of 20 cancers and in 6 of 22 normal breasts. By immunohistochemistry, 66 of 69 normal breasts were negative, while 3 showed low level staining. Among the breast cancers, 43 of 56 cores (77%) stained positive for osteopontin‐c. When correlated with tumor grade, the staining for osteopontin‐c increased from grade 1 to grade 3. In a total of 178 breast specimens analyzed, osteopontin‐c was present in 78% of cancers, 36% of surrounding tissues and 0% of normal tissues. Furthermore, osteopontin‐c detects a higher fraction of breast cancers than estrogen receptor (ER), progesterone receptor or HER2. In conjunction, osteopontin‐c, ER and HER2 reliably predict grade 2–3 breast cancer. Hence, osteopontin‐c is a diagnostic and prognostic marker that may have value in a diagnostic panel together with conventional breast cancer markers.Keywords
This publication has 20 references indexed in Scilit:
- Prognostic accuracy of an artificial neural network in patients undergoing radical cystectomy for bladder cancer: a comparison with logistic regression analysisBJU International, 2007
- Prognostic markers in triple‐negative breast cancerCancer, 2006
- Uses and Abuses of Tumor Markers in the Diagnosis, Monitoring, and Treatment of Primary and Metastatic Breast CancerThe Oncologist, 2006
- A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast CancerNew England Journal of Medicine, 2004
- Clinical relevance of amphiregulin and VEGF in primary breast cancersInternational Journal of Cancer, 2004
- Growth Factor Signaling Induces Metastasis Genes in Transformed Cells: Molecular Connection between Akt Kinase and Osteopontin in Breast CancerMolecular and Cellular Biology, 2003
- A Gene-Expression Signature as a Predictor of Survival in Breast CancerNew England Journal of Medicine, 2002
- A new mathematical model for relative quantification in real-time RT-PCRNucleic Acids Research, 2001
- Antibodies to different peptides in osteopontin reveal complexities in the various secreted formsJournal of Cellular Biochemistry, 2000
- pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long‐term follow‐upHistopathology, 1991