| 1. |
- Carlsson, Michael, et al.
(author)
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Different fractions of human serum glycoproteins bind galectin-1 or galectin-8, and their ratio may provide a refined biomarker for pathophysiological conditions in cancer and inflammatory disease
- 2012
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In: Biochimica et Biophysica Acta - General Subjects. - : Elsevier. - 0304-4165 .- 1872-8006 .- 0006-3002. ; 1820:9, s. 1366-1372
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Journal article (peer-reviewed)abstract
- Background: Changes in glycosylation of serum proteins are common, and various glycoforms are being explored as biomarkers in cancer and inflammation. We recently showed that glycoforms detected by endogenous galectins not only provide potential biomarkers, but also have different functions when they encounter galectins in tissue cells. Now we have explored the use of a combination of two galectins with different specificities, to further increase biomarker sensitivity and specificity. less thanbrgreater than less thanbrgreater thanMethods: Sera from 14 women with metastatic breast cancer, 12 healthy controls, 14 patients with IgA-nephritis (IgAN), and 12 patients with other glomerulonephritis were fractionated by affinity chromatography on immobilized human galectin-1 or galectin-8N, and the protein amounts of the bound and unbound fractions for each galectin were determined. less thanbrgreater than less thanbrgreater thanResults: Each galectin bound largely different fractions of the serum glycoproteins, including different glycoforms of haptoglobin. In the cancer sera, the level of galectin-1 bound glycoproteins was higher and galectin-8N bound glycoproteins lower compared to the other patients groups, whereas in IgAN sera the level of galectin-8N bound glycoproteins were higher. less thanbrgreater than less thanbrgreater thanConclusion: The ratio of galectin-1 bound/galectin-8N bound glycoproteins showed high discriminatory power between cancer patients and healthy, with AUC of 0.98 in ROC analysis, and thus provides an interesting novel cancer biomarker candidate. less thanbrgreater than less thanbrgreater thanGeneral significance: The galectin-binding ability of a glycoprotein is not only a promising biomarker candidate but may also have a specific function when the glycoprotein encounters the galectin in tissue cells, and thus be related to the pathophysiological state of the patient. This article is part of a Special Issue entitled Glycoproteomics.
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| 2. |
- Baldetorp, Bo, et al.
(author)
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Image cytometric DNA analysis in human breast cancer analysis may add prognostic information in diploid cases with low S-phase fraction by flow cytometry
- 1992
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In: Cytometry. - : Wiley. - 0196-4763 .- 1097-0320. ; 13:6, s. 577-585
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Journal article (peer-reviewed)abstract
- Measurements of DNA ploidy can be performed either with image cytometry (ICM) or flow cytometry (FCM); both methods provide independent prognostic information in primary breast cancer. The aim of the present investigation was to compare the two methods and to relate the findings to prognosis (median follow-up 42 months). Concordance in ploidy status (diploid, tetraploid, aneuploid) was obtained in 76% of the samples (168/222). When the fraction of S-phase cells (SPF) from FCM analysis was also taken into consideration, four different groups of samples were obtained (Flow I-IV), which were considered to correspond to the Auer classification (Auer I-IV) of DNA histograms obtained from image cytometry. Complete concordance between the two techniques now was 70% (155/222). Samples classified as Flow I (diploid or near-diploid with low SPF) and Auer I had a distant metastasis rate of 3/60 (5%), as compared to 62/154 (40%) for all other combinations of the Flow and Auer classifications taken together. Thus, the only findings of prognostic importance were that some samples were Flow I but not Auer I, or vice versa. These two groups represent 17 (7.7%) and 14 (6.3%), respectively, of the total number of samples, and had frequencies of distant metastasis similar to those of the other high-risk groups, namely, 7/17 and 5/14, respectively. In a multivariate analysis, flow cytometric S-phase value was a stronger prognostic factor than either the Flow and Auer classification. We conclude that when routine FCM DNA analysis is used, diploid or near-diploid samples with a low S-phase value should be reanalyzed with ICM.
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| 3. |
- Borg, Åke, et al.
(author)
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c-myc amplification is an independent prognostic factor in postmenopausal breast cancer
- 1992
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In: International Journal of Cancer. - : Wiley. - 0020-7136 .- 1097-0215. ; 51:5, s. 687-691
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Journal article (peer-reviewed)abstract
- The c-myc proto-oncogene was analyzed in 311 cases of primary breast cancer, in 8% of which it was found to be amplified, usually at moderately increased copy number (2-5 copies). The adjacent pvt gene was co-amplified with c-myc in all tumors analyzed. C-myc amplification was significantly correlated to a high S-phase fraction and to amplification of the c-erbB-2 proto-oncogene. Weak relationships were found between c-myc amplification and the presence of lymph-node metastasis, advanced stage, DNA non-diploidy and premenopausal status, but not tumor size, estrogen receptor or progesterone receptor status, or int-2 amplification. C-myc amplification, and especially a high gene copy number (greater than 5 copies), was significantly related to early recurrence and death in breast cancer, a relationship seen in both the lymph-node-negative and node-positive subcategories. A particularly strong correlation with poor clinical outcome was seen in postmenopausal patients (p greater than 0.0005), an association which persisted in multivariate survival analysis. We conclude that the activation of c-myc is indeed associated with rapidly growing and progressive breast cancer. Gene amplification, on the other hand, is relatively infrequent and occurs mostly at low copy number, implying that tumors are heterogeneous with respect to cell clones harboring c-myc amplification. An immunohistochemical assessment would more accurately illustrate the importance of c-myc activation in human breast cancer. However, the obvious instability of the c-myc transcript and translate suggests that c-myc is not a suitable prognostic marker for routine purposes.
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| 4. |
- Borg, Åke, et al.
(author)
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ERBB2 amplification in breast cancer with a high rate of proliferation
- 1991
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In: Oncogene. - 1476-5594. ; 6:1, s. 137-143
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Journal article (peer-reviewed)abstract
- The ERBB2 proto-oncogene was studied in 539 invasive primary breast tumors and was found amplified (2- greater than 30 copies) in 19%. Amplification was correlated to most known risk factors, including; large tumor size, lymph node positivity and many tumor involved nodes, advanced stage, low patient age (less than 40 years), non-diploidy and hypertetraploidy, and most significantly (P less than 0.00001) to the absence of steroid receptors and to a high rate of proliferation (flow cytometric determined S phase fraction). ERBB2 amplification was strongly associated (P less than 0.0001) with early recurrence and death in breast cancer among node-positive patients. This connection did not, however, remain in multivariate analyses. No correlations to clinical outcome were seen among node-negative patients. Similarly, non-diploid, but not diploid, amplified tumors were particularly aggressive. Furthermore, ERBB2 amplification was associated with a high rate of proliferation and poor prognosis in steroid receptor positive, but not receptor negative tumors. In progesterone receptor positive breast cancer, amplification was an independent and with node status equally powerful (P less than 0.0001) predictor of poor survival. It is concluded that ERBB2 activity is related to an increased tumor growth rate but not directly to metastasizing ability. Its clinical relevance as a prognostic factor may be in selecting a high risk subgroup of breast cancer, in general considered as being of good prognosis.
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| 5. |
- Borg, Åke, et al.
(author)
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ERBB2 amplification is associated with tamoxifen resistance in steroid-receptor positive breast cancer
- 1994
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In: Cancer Letters. - : Elsevier BV. - 1872-7980 .- 0304-3835. ; 81:2, s. 137-144
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Journal article (peer-reviewed)abstract
- Amplification and overexpression of the ERBB2 (HER-2/neu) oncogene has been implicated as contributing to the development of human breast cancer, and as a predictor of poor survival. In the present non-randomized study of 871 primary invasive breast tumours, ERBB2 activation was significantly correlated to a shorter disease-free and overall survival in the subgroup of patients receiving adjuvant tamoxifen therapy, but not in the untreated group. Further subcategorization demonstrated the relationship to poor prognosis to be confined to lymph node positive and steroid receptor-positive tumours. We suggest that steroid receptor and ERBB2-positive breast tumours are resistant to tamoxifen therapy and, supported by experimental evidence showing an oestrogen receptor dependent up-regulation of ERBB2 expression upon tamoxifen administration, possibly even growth stimulated by the drug.
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| 6. |
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| 7. |
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| 8. |
- Carlsson, Anders, et al.
(author)
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Molecular serum portraits in patients with primary breast cancer predict the development of distant metastases.
- 2011
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In: Proceedings of the National Academy of Sciences. - : Proceedings of the National Academy of Sciences. - 1091-6490 .- 0027-8424. ; 108:34, s. 14252-14257
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Journal article (peer-reviewed)abstract
- The risk of distant recurrence in breast cancer patients is difficult to assess with current clinical and histopathological parameters, and no validated serum biomarkers currently exist. Using a recently developed recombinant antibody microarray platform containing 135 antibodies against 65 mainly immunoregulatory proteins, we screened 240 sera from 64 patients with primary breast cancer. This unique longitudinal sample material was collected from each patient between 0 and 36 mo after the primary operation. The velocity for each serum protein was determined by comparing the samples collected at the primary operation and then 3-6 mo later. A 21-protein signature was identified, using leave-one-out cross-validation together with a backward elimination strategy in a training cohort. This signature was tested and evaluated subsequently in an independent test cohort (prevalidation). The risk of developing distant recurrence after primary operation could be assessed for each patient, using her molecular portraits. The results from this prevalidation study showed that patients could be classified into high- versus low-risk groups for developing metastatic breast cancer with a receiver operating characteristic area under the curve of 0.85. This risk assessment was not dependent on the type of adjuvant therapy received by the patients. Even more importantly, we demonstrated that this protein signature provided an added value compared with conventional clinical parameters. Consequently, we present here a candidate serum biomarker signature able to classify patients with primary breast cancer according to their risk of developing distant recurrence, with an accuracy outperforming current procedures.
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| 9. |
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| 10. |
- Carlsson, Anders, et al.
(author)
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Serum proteome profiling of metastatic breast cancer using recombinant antibody microarrays.
- 2008
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In: European Journal of Cancer. - : Elsevier BV. - 1879-0852 .- 0959-8049. ; 44:3, s. 472-480
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Journal article (peer-reviewed)abstract
- The driving force behind oncoproteomics is to identify biomarker signatures associated with a particular malignancy. Here, we have for the first time used large-scale recombinant scFv antibody microarrays in an attempt to classify metastatic breast cancer versus healthy controls, based on differential protein expression profiling of whole serum samples. Using this multiplexed and miniaturised assay set-up providing pM range sensitivities, breast cancer could be classified with a specificity and sensitivity of 85% based on 129 serum analytes. However, by adopting a condensed 11 analyte biomarker signature, composed of nine non-redundant serum proteins, we were able to distinguish cancer versus healthy serum proteomes with a 95% sensitivity and specificity, respectively. When a subgroup of patients, not receiving anti-inflammatory drugs, was analysed, a novel eight analyte biomarker signature with a further improved predictive power was indicated. In a longer perspective, antibody microarray analysis could provide a tool for the development of improved diagnostics and intensified biomarker discovery for breast cancer patients.
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