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| 32. |
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| 33. |
- Brueffer, Christian, et al.
(författare)
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Abstract P4-09-03: On the development and clinical value of RNA-sequencing-based classifiers for prediction of the five conventional breast cancer biomarkers: A report from the population-based multicenter SCAN-B study
- 2018
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Ingår i: Cancer research. Supplement. - 1538-7445. ; 78:4
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Konferensbidrag (refereegranskat)abstract
- Background:In early breast cancer, five histopathological biomarkers are part of current clinical routines and used for determining prognosis and treatment: estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (ERBB2/HER2), Ki67, and Nottingham histological grade (NHG). We aimed to develop classifiers for these biomarkers based on tumor mRNA-sequencing (RNA-seq), compare classification performance to conventional histopathology, and test whether RNA-seq-based predictors could add value for patient risk-stratification.Patients and Methods:In total, 3678 breast tumors were studied. For 405 breast tumors in the training cohort, a comprehensive histopathological biomarker evaluation was performed by three pathology readings to estimate inter-pathologist variability on the original diagnostic slides as well as on repeat immunostains for this study, and the consensus biomarker status for all five conventional biomarkers was determined. Whole transcriptome gene expression profiling was performed by RNA-sequencing on the Illumina platform. Using RNA-seq-derived tumor gene expression data as input, single-gene classifiers (SGC) and multi-gene classifiers (MGC) were trained on the consensus pathology biomarker labels. The trained classifiers were tested on an independent prospective population-based series of 3273 primary breast cancer cases from the multicenter SCAN-B study with median 41 months follow-up (ClinicalTrials.gov identifier NCT02306096), and classifications were evaluated by agreement statistics and by Kaplan-Meier and Cox regression survival analyses.Results:For the histopathological evaluation, pathologist evaluation concordance was high for ER, PgR, and HER2 (average kappa values of .920, .891, and .899, respectively), but moderate for Ki67 and NHG (.734 and .581). Classification concordance between RNA-seq classifiers and histopathology for the independent 3273-cohort was similar to that within histopathology assessments, with SGCs slightly outperforming MGCs. Importantly, patients with discordant results, classified as hormone responsive (HoR+) by histopathology but non-hormone responsive by MGC, presented with significantly inferior overall survival compared to patients with concordant results. These results extended to patients with no adjuvant systemic therapy (hazard ratio, HR, 4.54; 95% confidence interval, CI, 1.42-14.5), endocrine therapy alone (HR 3.46; 95% CI, 2.01-5.95), or receiving chemotherapy (HR 2.57; 95% CI 1.13-5.86). For HoR+ cases receiving endocrine therapy alone, the MGC HoR classifier remained significant after multivariable adjustment (HR 3.14; 95% CI, 1.75-5.65).Conclusions:RNA-seq-based classifiers for the five key early breast cancer biomarkers were generally equivalent to conventional histopathology with regards to classification error rate. However, when benchmarked using overall survival, our RNA-seq classifiers provided added clinical value in particular for cases that are determined by histopathology to be hormone-responsive but by RNA-seq appear hormone-insensitive and have a significantly poorer outcome when treated with endocrine therapy alone
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| 34. |
- Brueffer, Christian, et al.
(författare)
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Clinical Value of RNA Sequencing–Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network—Breast Initiative
- 2018
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Ingår i: JCO Precision Oncology. - 2473-4284. ; 2, s. 1-18
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Tidskriftsartikel (refereegranskat)abstract
- PurposeIn early breast cancer (BC), five conventional biomarkers—estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), Ki67, and Nottingham histologic grade (NHG)—are used to determine prognosis and treatment. We aimed to develop classifiers for these biomarkers that were based on tumor mRNA sequencing (RNA-seq), compare classification performance, and test whether such predictors could add value for risk stratification.MethodsIn total, 3,678 patients with BC were studied. For 405 tumors, a comprehensive multi-rater histopathologic evaluation was performed. Using RNA-seq data, single-gene classifiers and multigene classifiers (MGCs) were trained on consensus histopathology labels. Trained classifiers were tested on a prospective population-based series of 3,273 BCs that included a median follow-up of 52 months (Sweden Cancerome Analysis Network—Breast [SCAN-B], ClinicalTrials.gov identifier: NCT02306096), and results were evaluated by agreement statistics and Kaplan-Meier and Cox survival analyses.ResultsPathologist concordance was high for ER, PgR, and HER2 (average κ, 0.920, 0.891, and 0.899, respectively) but moderate for Ki67 and NHG (average κ, 0.734 and 0.581). Concordance between RNA-seq classifiers and histopathology for the independent cohort of 3,273 was similar to interpathologist concordance. Patients with discordant classifications, predicted as hormone responsive by histopathology but non–hormone responsive by MGC, had significantly inferior overall survival compared with patients who had concordant results. This extended to patients who received no adjuvant therapy (hazard ratio [HR], 3.19; 95% CI, 1.19 to 8.57), or endocrine therapy alone (HR, 2.64; 95% CI, 1.55 to 4.51). For cases identified as hormone responsive by histopathology and who received endocrine therapy alone, the MGC hormone-responsive classifier remained significant after multivariable adjustment (HR, 2.45; 95% CI, 1.39 to 4.34).ConclusionClassification error rates for RNA-seq–based classifiers for the five key BC biomarkers generally were equivalent to conventional histopathology. However, RNA-seq classifiers provided added clinical value in particular for tumors determined by histopathology to be hormone responsive but by RNA-seq to be hormone insensitive.
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| 35. |
- Carlsson, Christina, et al.
(författare)
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Benefits from membership in cancer patient associations: relations to gender and involvement.
- 2006
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Ingår i: Acta oncologica. - : Informa UK Limited. - 0284-186X .- 1651-226X. ; 45:5, s. 559-563
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Tidskriftsartikel (refereegranskat)abstract
- Cancer patient associations report a growing number of members and increasing possibilities to influence health care, but knowledge about the members' views on the benefit of involvement is scarce. We therefore investigated how members (n = 1742) of Swedish patient associations for breast cancer and prostate cancer rate the benefit of membership for their physical and psychological well-being and social adjustment to cancer. Using a scoring scale, 2/3 of the members reported that membership had benefit for psychological well-being, whereas half of the members reported benefit for physical well-being and social adjustment. Individuals who had been actively involved in board work and/or contact person activities within the associations reported significantly more benefit for all three parameters. Gender differences were observed with men, represented by individuals affected by prostate cancer, reporting greater benefit for all three parameters, although especially evident for psychological well-being. Individuals who obtained membership within two years of diagnosis reported greater benefit for psychological well-being and social adjustment compared to those who became members later. In conclusion, members in patient associations for cancer report benefit particularly for their psychological well-being and actively involved members and men affected by prostate cancer perceive the greatest benefit from membership.
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| 36. |
- Carneiro, Ana, et al.
(författare)
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A prognostic model for soft tissue sarcoma of the extremities and trunk wall based on size, vascular invasion, necrosis, and growth pattern.
- 2011
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Ingår i: Cancer. - : Wiley. - 1097-0142 .- 0008-543X. ; Dec, s. 1279-1287
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND:: In soft tissue sarcoma, better distinction of high-risk and low-risk patients is needed to individualize treatment and improve survival. Prognostic systems used in clinical practice identify high-risk patients based on various factors, including age, tumor size and depth, histological type, necrosis, and grade. METHODS:: Whole-tumor sections from 239 soft tissue sarcomas of the extremities were reviewed for the following prognostic factors: size, vascular invasion, necrosis, and growth pattern. A new prognostic model, referred to as SING (Size, Invasion, Necrosis, Growth), was established and compared with other clinically applied systems. RESULTS:: Size, vascular invasion, necrosis, and peripheral tumor growth pattern provided independent prognostic information with hazard ratios of 2.2-2.6 for development of metastases in multivariate analysis. When these factors were combined into the prognostic model SING, high risk of metastasis was predicted with a sensitivity of 74% and a specificity of 85%. Moreover, the prognostic performance of SING compared favorably with other widely used systems. CONCLUSIONS:: SING represents a promising prognostic model, and vascular invasion and tumor growth pattern should be considered in soft tissue sarcoma prognostication. Cancer 2010. © 2010 American Cancer Society.
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| 37. |
- Carneiro, Ana, et al.
(författare)
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Ezrin expression predicts local recurrence and development of metastases in soft tissue sarcomas.
- 2011
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Ingår i: Journal of Clinical Pathology. - : BMJ. - 1472-4146 .- 0021-9746. ; 64, s. 689-694
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Tidskriftsartikel (refereegranskat)abstract
- Background Ezrin is a cytoskeletal protein involved in tumour growth and invasion. Ezrin expression has been suggested to play a role in metastasis in paediatricosteosarcoma and rhabdomyosarcoma. Aim To evaluate the prognostic role of ezrin in a large series of soft tissue sarcoma of the extremities and trunk wall. Methods Ezrin expression was evaluated by immunohistochemistry on tissue microarrays from a mixed series of 256 soft tissue sarcomas. The expression patterns were correlated to local recurrence and metastasis as well as to established prognostic factors in soft tissue sarcoma. Results Increased ezrin expression predicted development of metastasis (HR=1.8, 95% CI 1.1 to 2.8; p=0.007) and local recurrence, also after adjustment for surgical margin (HR=2.4, 95% CI 1.4 to 4.3; p=0.02). Correlations to established prognostic factors showed strong associations between ezrin and necrosis (OR=3.9, p<0.0001) and ezrin and growth pattern (OR=3.1, p=0.03). Conclusions Ezrin independently predicts development of local recurrences and metastases in soft tissue sarcomas. The possibility of preoperative evaluation makes ezrin a potential marker for identification of high-risk sarcoma patients who would benefit from neoadjuvant therapy.
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| 38. |
- Carneiro, Ana, et al.
(författare)
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Indistinguishable genomic profiles and shared prognostic markers in undifferentiated pleomorphic sarcoma and leiomyosarcoma: different sides of a single coin?
- 2009
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Ingår i: Laboratory Investigation. - : Elsevier BV. - 1530-0307 .- 0023-6837. ; 89, s. 668-675
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Tidskriftsartikel (refereegranskat)abstract
- Soft tissue sarcoma (STS) diagnostics and prognostics are challenging, particularly in highly malignant and pleomorphic subtypes such as undifferentiated pleomorphic sarcoma (UPS) and leiomyosarcoma (LMS). We applied 32K BAC arrays and gene expression profiling to 18 extremity soft tissue LMS and 31 extremity soft tissue UPS with the aim of identifying molecular subtype signatures and genomic prognostic markers. Both the gains/losses and gene expression signatures revealed striking similarities between UPS and LMS, which were indistinguishable using unsupervised hierarchical cluster analysis and significance analysis for microarrays. Gene expression analysis revealed just nine genes, among them tropomyosin beta, which were differentially expressed. Loss of 4q31 (encompassing the SMAD1 locus), loss of 18q22, and tumor necrosis were identified as independent predictors of metastasis in multivariate stepwise Cox regression analysis. Combined analysis applying loss of 4q31 and 18q22 and the presence of necrosis improved the area under receiver operating characteristic curve for metastasis prediction from 0.64 to 0.86. The extensive genetic similarities between extremity soft tissue UPS and LMS suggest a shared lineage of these STS subtypes and the new and independent genetic prognosticators identified hold promise for refined prognostic determination in high-grade, genetically complex STS.Laboratory Investigation advance online publication, 16 March 2009; doi:10.1038/labinvest.2009.18.
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| 39. |
- Carneiro, Ana, et al.
(författare)
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Prognostic impact of array-based genomic profiles in esophageal squamous cell cancer
- 2008
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Ingår i: BMC Cancer. - : Springer Science and Business Media LLC. - 1471-2407. ; 8:98
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Tidskriftsartikel (refereegranskat)abstract
- Background: Esophageal squamous cell carcinoma (ESCC) is a genetically complex tumor type and a major cause of cancer related mortality. Although distinct genetic alterations have been linked to ESCC development and prognosis, the genetic alterations have not gained clinical applicability. We applied array-based comparative genomic hybridization (aCGH) to obtain a whole genome copy number profile relevant for identifying deranged pathways and clinically applicable markers. Methods: A 32 k aCGH platform was used for high resolution mapping of copy number changes in 30 stage I-IV ESCC. Potential interdependent alterations and deranged pathways were identified and copy number changes were correlated to stage, differentiation and survival. Results: Copy number alterations affected median 19% of the genome and included recurrent gains of chromosome regions 5p, 7p, 7q, 8q, 10q, 11q, 12p, 14q, 16p, 17p, 19p, 19q, and 20q and losses of 3p, 5q, 8p, 9p and 11q. High-level amplifications were observed in 30 regions and recurrently involved 7p11 (EGFR), 11q13 (MYEOV, CCND1, FGF4, FGF3, PPFIA, FAD, TMEM16A, CTTS and SHANK2) and 11q22 (PDFG). Gain of 7p22.3 predicted nodal metastases and gains of 1p36.32 and 19p13.3 independently predicted poor survival in multivariate analysis. Conclusion: aCGH profiling verified genetic complexity in ESCC and herein identified imbalances of multiple central tumorigenic pathways. Distinct gains correlate with clinicopathological variables and independently predict survival, suggesting clinical applicability of genomic profiling in ESCC.
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| 40. |
- Chebil, G, et al.
(författare)
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Comparison of immunohistochemical and biochemical assay of steroid receptors in primary breast cancer - Clinical associations and reasons for discrepancies
- 2003
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Ingår i: Acta Oncologica. - : Informa UK Limited. - 1651-226X .- 0284-186X. ; 42:7, s. 719-725
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Tidskriftsartikel (refereegranskat)abstract
- Estrogen ( ER) and progesterone receptor (PgR) status was analysed in paraffin-embedded breast cancer material with immunohistochemical (IHC) technique and compared with corresponding analyses in cytosols ( CYT). ER showed the same status (positive/negative) with both methods in 88% of the samples (352/ 402). The concordance was also high for PgR status (81% [321/394]). Besides values near cut-off, heterogeneity in the distribution of receptor positive and negative nuclei within a tumour sample was the main reason for discordances. Histological type, presence of sclerosis, necrosis and non-invasive cells, and technical artefacts seem to be of only limited importance for explaining discordances. All patients have been treated with adjuvant tamoxifen for two years. The two subgroups, which were ERCYT+/ ERIHC+ or ERCYT-/ERIHC+, both had a significantly better progression-free survival (PFS; median follow-up: almost 6 years) than the ERCYT -/ERIHC- group (p< 0.001 and p = 0.007, respectively). The remaining group, ERCYT+/ERIHC-, had an intermediate PFS. For PgR, the associations with PFS were weaker, with significantly better PFS than the PgR(CYT)-/PgR(IHC)- group being found only for the PgR(CYT)+/PgR(IHC) - group (p = 0.03).
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