| 11. |
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| 12. |
- Lapointe, Jacques, et al.
(författare)
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Gene expression profiling identifies clinically relevant subtypes of prostate cancer
- 2004
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Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 101:3, s. 811-816
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Tidskriftsartikel (refereegranskat)abstract
- Prostate cancer, a leading cause of cancer death, displays a broad range of clinical behavior from relatively indolent to aggressive metastatic disease. To explore potential molecular variation underlying this clinical heterogeneity, we profiled gene expression in 62 primary prostate tumors, as well as 41 normal prostate specimens and nine lymph node metastases, using cDNA microarrays containing ≈26,000 genes. Unsupervised hierarchical clustering readily distinguished tumors from normal samples, and further identified three subclasses of prostate tumors based on distinct patterns of gene expression. High-grade and advanced stage tumors, as well as tumors associated with recurrence, were disproportionately represented among two of the three subtypes, one of which also included most lymph node metastases. To further characterize the clinical relevance of tumor subtypes, we evaluated as surrogate markers two genes differentially expressed among tumor subgroups by using immunohistochemistry on tissue microarrays representing an independent set of 225 prostate tumors. Positive staining for MUC1, a gene highly expressed in the subgroups with "aggressive" clinicopathological features, was associated with an elevated risk of recurrence (P = 0.003), whereas strong staining for AZGP1, a gene highly expressed in the other subgroup, was associated with a decreased risk of recurrence (P = 0.0008). In multivariate analysis, MUC1 and AZGP1 staining were strong predictors of tumor recurrence independent of tumor grade, stage, and preoperative prostate-specific antigen levels. Our results suggest that prostate tumors can be usefully classified according to their gene expression patterns, and these tumor subtypes may provide a basis for improved prognostication and treatment stratification.
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| 13. |
- Picci, P., et al.
(författare)
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Computed tomography of pulmonary metastases from osteosarcoma: The less poor technique. A study of 51 patients with histological correlation
- 2001
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Ingår i: Annals of Oncology. - 1569-8041. ; 12:11, s. 1601-1604
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Tidskriftsartikel (refereegranskat)abstract
- Background: The purpose is to evaluate the accuracy of computed tomography (CT) in the pulmonary staging of osteosarcoma. Patients and methods: Fifty-one patients presenting with osteosarcoma and at initial CT considered metastatic to the chest had lung surgery. Two teams of two senior radiologists independently reviewed all CT examinations. Their results were compared to the histological studies. Results: One hundred nineteen CT's were reviewed. The 2 teams found 247 and 268 nodules on the initial, and 143 and 146 nodules on the preoperative CT. Histological studies confirmed metastatic nodules in 29 patients. Two hundred four nodules were excised and studied. One hundred nine were metastases. The 22 patients without metastases had 53 negative nodules removed. In the 29 patients with metastases, 151 nodules were removed, and 42 were non-metastatic. The positive predictive value was 53% with regard to 'nodules', and 57% with regard to 'patients'. Only 4 out of 13 patients with one nodule at surgery were metastatic, but all patients with more than 7 nodules were metastatic. The 46 cases with several available CT's, showed that no change in the number of nodules was more frequent in benign lesions. Other criteria revealed no significant difference. Conclusion: CT positive predictive value is limited, but as surgery is the only way to cure metastatic patients, CT will still be used as the reference technique until a more specific approach can be found.
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| 14. |
- Slimani, N, et al.
(författare)
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European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics
- 2002
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Ingår i: Public Health Nutrition. - 1475-2727 .- 1368-9800. ; 5:6B, s. 1125-1145
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Tidskriftsartikel (refereegranskat)abstract
- The European Prospective Investigation into Cancer and Nutrition (EPIC), which covers a large cohort of half a million men and women from 23 European centres in 10 Western European countries, was designed to study the relationship between diet and the risk of chronic diseases, particularly cancer. Information on usual individual dietary intake was assessed using different validated dietary assessment methods across participating countries. In order to adjust for possible systematic over- or underestimation in dietary intake measurements and correct for attenuation bias in relative risk estimates, a calibration approach was developed. This approach involved an additional dietary assessment common across study populations to re-express individual dietary intakes according to the same reference scale. A single 24-hour diet recall was therefore collected, as the EPIC reference calibration method, from a stratified random sample of 36 900 subjects from the entire EPIC cohort, using a software program (EPIC-SOFT) specifically designed to standardise the dietary measurements across study populations. This paper describes the design and populations of the calibration sub-studies set up in the EPIC centres. In addition, to assess whether the calibration sub-samples were representative of the entire group of EPIC cohorts, a series of subjects' characteristics known possibly to influence dietary intakes was compared in both population groups. This was the first time that calibration sub-studies had been set up in a large multi-centre European study. These studies showed that, despite certain inherent methodological and logistic constraints, a study design such as this one works relatively well in practice. The average response in the calibration study was 78.3% and ranged from 46.5% to 92.5%. The calibration population differed slightly from the overall cohort but the differences were small for most characteristics and centres. The overall results suggest that, after adjustment for age, dietary intakes estimated from calibration samples can reasonably be interpreted as representative of the main cohorts in most of the EPIC centres.
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