| 1. |
- Aine, Mattias, et al.
(författare)
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Biological determinants of bladder cancer gene expression subtypes.
- 2015
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Ingår i: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 5
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Tidskriftsartikel (refereegranskat)abstract
- Molecular stratification of tumors by gene expression profiling has been applied to a large number of human malignancies and holds great promise for personalized treatment. Comprehensive classification schemes for urothelial carcinoma have been proposed by three separate groups but have not previously been evaluated simultaneously in independent data. Here we map the interrelations between the proposed molecular subtypes onto the intrinsic structure of a rich independent dataset and show that subtype stratification within each scheme can be explained in terms of a set of common underlying biological processes. We highlight novel biological and genomic drivers of urothelial carcinoma molecular subtypes and show that tumors carrying genomic aberrations characteristic of distinct molecular pathways converge on a common top level phenotype corresponding to the two major molecular subtypes of non-muscle invasive disease.
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| 2. |
- Aine, Mattias, et al.
(författare)
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On Molecular Classification of Bladder Cancer: Out of One, Many.
- 2015
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Ingår i: European Urology. - : Elsevier BV. - 1873-7560 .- 0302-2838. ; 68:6, s. 921-923
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Tidskriftsartikel (refereegranskat)abstract
- Comparative analysis showed that bladder cancer classification systems identify overlapping subtypes but at different levels. Muscle-invasive bladder cancer shows remarkable heterogeneity, and six subtypes were identified that differ in transcriptional networks, marker profiles, and expression of actionable targets.
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| 3. |
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| 4. |
- Bernardo, Carina, et al.
(författare)
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Molecular pathology of the luminal class of urothelial tumors
- 2019
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Ingår i: Journal of Pathology. - : Wiley. - 0022-3417 .- 1096-9896. ; 249:3, s. 308-318
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Tidskriftsartikel (refereegranskat)abstract
- Molecular subtypes of urothelial carcinoma may be divided into luminal and nonluminal tumors. Nonluminal tumors are composed of cases with basal/squamous-like or small cell/neuroendocrine features, with a consensus on the molecular characteristics of the respective subtype. In contrast, luminal tumors are more disparate with three to five suggested subtypes and with definitions that do not always cohere. To resolve some of these disparities we assembled a cohort of 344 luminal tumors classified as urothelial-like (Uro), with the subtypes UroA, UroAp, UroB, and UroC, or genomically unstable (GU) according to the LundTax system. Cases were systematically analyzed by immunohistochemistry using antibodies for proteins representing important biological processes or cellular states: KRT5, EGFR, and CDH3 for the integrity of a basal cell layer; CCNB1, Ki67, and FOXM1 for proliferation; FGFR3 and ERBB2 for receptor tyrosine kinase status; CCND1, CDKN2A(p16), RB1, and E2F3 for cell cycle regulation; PPARG, GATA3, and TP63 for the differentiation regulatory system; and KRT20 and UPK3 for the differentiation readout. We show that Uro tumors form one, albeit heterogenous, group characterized by FGFR3, CCND1, and RB1 expression, but low or absence of CDKN2A(p16) and ERBB2 expression. The opposite expression pattern is observed in GU cases. Furthermore, Uro tumors are distinguished from GU tumors by showing a high RB1/p16 expression ratio. Class defining characteristics were independent of pathological stage and growth pattern, and thus intrinsic. In Uro tumors, proliferation was limited to a well-defined single layer of basal-like cells in UroA tumors but occurred throughout the tumor parenchyma, independent of the basal layer, in the more progressed UroAp and UroC tumors. A similar change in proliferation topology was not observed in GU. We conclude that luminal urothelial carcinomas consist, at the molecular pathology level, of two major subtypes, the larger heterogenous Uro and the biologically distinct GU subtype.
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| 5. |
- Bernardo, Carina, et al.
(författare)
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Molecular pathology of the non-luminal Ba/Sq-like and Sc/NE-like classes of urothelial tumours : An integrated immunohistochemical analysis
- 2022
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Ingår i: Human Pathology. - : Elsevier BV. - 0046-8177. ; 122, s. 11-24
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Tidskriftsartikel (refereegranskat)abstract
- Several groups have during past years produced molecular classification schemes for bladder cancer. Even though no consensus on how to define a subtype exists, one approach has been to base definitions on how tumours cluster according to their mRNA expression profiles. In many cases, obtained profiles, and thus class defining features, are affected by signals from non-tumour cells within the biopsy. To overcome this issue, we combined gene expression analyses with analyses of the actual tumour cells by extensive immunohistochemistry (IHC). By this approach we were able to define tumour cell phenotypes i.e., subtypes defined by features of the tumour cells only, and adjust mRNA-based algorithms accordingly. In the present investigation we address the non-luminal Basal/Squamous-like (Ba/Sq) and Small cell/Neuroendocrine-like (Sc/NE) categories of tumours defined by mRNA-based classification. We make use of IHC data for 15 proteins, all known to be instrumental for defining molecular subtypes of urothelial carcinoma. We show that the UroB type of tumours, frequently grouped together with Ba/Sq, are different from the Ba/Sq entity at several essential features and is a derivative of Urothelial-like tumours (Uro). We show that the Sc/NE tumours are similar to but represents extreme versions of Genomically Unstable (GU) tumours. We apply clustering to 423 cases representing all subtypes using IHC data for 14 proteins and show that the obtained grouping conforms well with the mRNA-based classification. This work describes in detail the molecular pathology of non-luminal RNA-based bladder cancer subtypes and highlight similarities/dissimilarities suggestive of origin.
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| 6. |
- Eriksson, Pontus, et al.
(författare)
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A comparison of rule-based and centroid single-sample multiclass predictors for transcriptomic classification
- 2022
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Ingår i: Bioinformatics. - : Oxford University Press (OUP). - 1367-4803 .- 1367-4811. ; 38:4, s. 1022-1029
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Tidskriftsartikel (refereegranskat)abstract
- MOTIVATION: Gene expression-based multiclass prediction, such as tumor subtyping, is a non-trivial bioinformatic problem. Most classifier methods operate by comparing expression levels relative to other samples. Methods that base predictions on the expression pattern within a sample have been proposed as an alternative. As these methods are invariant to the cohort composition and can be applied to a sample in isolation, they can collectively be termed single sample predictors (SSP). Such predictors could potentially be used for preprocessing-free classification of new samples and be built to function across different expression platforms where proper batch and dataset normalization is challenging. Here we evaluate the behavior of several multiclass single sample predictors based on binary gene-pair rules (k-Top Scoring Pairs, Absolute Intrinsic Molecular Subtyping, and a new Random Forest approach) and compare them to centroids built with centered or raw expression values, with the criteria that an optimal predictor should have high accuracy, overcome differences in tumor purity, be robust across expression platforms, and provide an informative prediction output score.RESULTS: We found that gene-pair based SSPs showed excellent performance on many expression-based classification tasks. The three methods differed in prediction score output, handling of tied scores, and behavior in low purity samples. The k-Top Scoring Pairs and Random Forest approach both achieved high classification accuracy while providing an informative prediction score. Although gene-pair-based SSPs have been touted as being cross-platform compatible (through training on mixed platform data), out-of-the-box compatibility with a new dataset remains a potential issue that warrants cohort-to-cohort verification.AVAILABILITY: Our R package 'multiclassPairs' (https://cran.r-project.org/package=multiclassPairs) (https://doi.org/10.1093/bioinformatics/btab088) is freely available and enables easy training, prediction, and visualization using the gene-pair rule-based Random Forest SSP method and provides additional multiclass functionalities to the switchBox k-Top-Scoring Pairs package.SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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| 7. |
- Eriksson, Pontus, et al.
(författare)
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HER2 and EGFR amplification and expression in urothelial carcinoma occurs in distinct biological and molecular contexts
- 2017
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Ingår i: Oncotarget. - : Impact Journals, LLC. - 1949-2553. ; 8:30, s. 48905-48914
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Tidskriftsartikel (refereegranskat)abstract
- We analyzed a cohort of 599 cases of urothelial carcinoma for EGFR, ERBB2, and ERBB3 gene expression and genomic alterations. The cohort consisted of a reference set (n = 292) comprising all stages and grades and one set (n = 307) of advanced tumors. All cases were previously classified into urothelial carcinoma molecular subtypes. Genomic amplifications were established by array-CGH or in-situ hybridization, and gene expression both at mRNA and protein levels. Clinical HER2 status was independently evaluated using standard clinical procedures. EGFR amplifications were observed in 14% and ERBB2 amplifications in 23% of the reference cohort. EGFR gains were enriched in the Basal/SCC-like and ERBB2 gains in the Genomically Unstable subtypes. The expression data suggests that the Genomically Unstable show high ERBB2/ERBB3 but low EGFR expression and that Basal/SCC-like tumors show high EGFR but low ERBB2/ERBB3 expression. Whereas the frequency of ERBB2 genomic amplification were similar for cases of the Genomically Unstable subtype in the two cohorts, the Urotheliallike subtype acquires ERBB2 amplifications and expression during progression. Even though a good correlation between gene amplification and ERBB2 gene expression was observed in the Urothelial-like and Genomically Unstable subtypes less than half of the Basal/SCC-like cases with ERBB2 amplification showed concomitant ERBB2 mRNA and protein expression. We conclude that clinical trials using ERBB2 (HER2) or EGFR as targets have not fully appreciated the molecular heterogeneity in which activated ERBB2 and EGFR systems operate. Proper tumor classification is likely to be critical for arriving at thorough conclusions regarding new HER2 and EGFR based treatment regimes.
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| 8. |
- Eriksson, Pontus, et al.
(författare)
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Molecular subtypes of urothelial carcinoma are defined by specific gene regulatory systems.
- 2015
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Ingår i: BMC Medical Genomics. - : Springer Science and Business Media LLC. - 1755-8794. ; 8:1
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Tidskriftsartikel (refereegranskat)abstract
- Molecular stratification of bladder cancer has revealed gene signatures differentially expressed across tumor subtypes. While these signatures provide important insights into subtype biology, the transcriptional regulation that governs these signatures is not well characterized.
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| 9. |
- Gudjonsson, Sigurdur, et al.
(författare)
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Can tissue microarray-based analysis of protein expression predict recurrence of stage Ta bladder cancer?
- 2011
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Ingår i: Scandinavian Journal of Urology and Nephrology. - : Informa UK Limited. - 1651-2065 .- 0036-5599. ; 45, s. 270-277
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Tidskriftsartikel (refereegranskat)abstract
- Abstract Objective. Being able to predict the recurrence or progression of non-muscle-invasive bladder cancer would facilitate effective planning of treatments and follow-up. Biomarkers are needed that can supply prognostic information beyond that provided by clinical and pathological parameters. Tissue microarray (TMA)-based analysis of Ta bladder tumours was used to investigate the prognostic value of expression of several proteins involved in bladder carcinogenesis. Material and methods. Tumour tissue from 52 patients with Ta bladder cancer was investigated. At least three 0.6 mm punch cores from each tumour were placed in a paraffin array block. Tumour expression of tumour protein 53 (TP53), CDH1 (E-cadherin), proliferating cell nuclear antigen (PCNA), cyclooxygenase-2 (COX2), fibroblast growth factor receptor-3 (FGFR3) and epidermal growth factor receptor (EGFR) was quantified by immunohistochemistry (IHC) and correlated with time to recurrence. Median follow-up time was 3.1 years. Whole-section IHC analysis was performed to validate significant findings. Results. Of all patients, 69% (36/52) experienced recurrence. In univariate analysis, recurrence was associated with multifocality, number of earlier recurrences and a low quantity score for EGFR. In a multivariate model, a low EGFR quantity score was correlated with early recurrence (hazard ratio = 5.5, p = 0.003). However, whole-section IHC results for EGFR differed markedly from the TMA findings (κ = 0.07) and no association with time to recurrence was found (p = 0.65). Conclusions. Expression of EGFR measured by TMA-IHC, but not by whole-section IHC, was associated with early recurrence. The results suggest that the proteins assessed have no predictive value for recurrences. Concerns are raised regarding the methodology and generalization of results obtained with TMA-IHC.
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| 10. |
- Heidenblad, Markus, et al.
(författare)
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Tiling resolution array CGH and high density expression profiling of urothelial carcinomas delineate genomic amplicons and candidate target genes specific for advanced tumors.
- 2008
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Ingår i: BMC Medical Genomics. - : Springer Science and Business Media LLC. - 1755-8794. ; 1:Jan 31
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Tidskriftsartikel (refereegranskat)abstract
- ABSTRACT: BACKGROUND: Urothelial carcinoma (UC) is characterized by nonrandom chromosomal aberrations, varying from one or a few changes in early-stage and low-grade tumors, to highly rearranged karyotypes in muscle-invasive lesions. Recent array-CGH analyses have shed further light on the genomic changes underlying the neoplastic development of UC, and have facilitated the molecular delineation amplified and deleted regions to the level of specific candidate genes. In the present investigation we combine detailed genomic information with expression information to identify putative target genes for genomic amplifications. METHODS: We analyzed 38 urothelial carcinomas by whole-genome tiling resolution array-CGH and high density expression profiling to identify putative target genes in common genomic amplifications. When necessary expression profiling was complemented with Q-PCR of individual genes. RESULTS: Three genomic segments were frequently and exclusively amplified in high grade tumors; 1q23, 6p22 and 8q22, respectively. Detailed mapping of the 1q23 segment showed a heterogeneous amplification pattern and no obvious commonly amplified region. The 6p22 amplicon was defined by a 1.8 Mb core region present in all amplifications, flanked both distally and proximally by segments amplified to a lesser extent. By combining genomic profiles with expression profiles we could show that amplification of E2F3, CDKAL1, SOX4, and MBOAT1 as well as NUP153, AOF1, FAM8A1 and DEK in 6p22 was associated with increased gene expression. Amplification of the 8q22 segment was primarily associated with YWHAZ (14-3-3-zeta) and POLR2K over expression. The possible importance of the YWHA genes in the development of urothelial carcinomas was supported by another recurrent amplicon paralogous to 8q22, in 2p25, where increased copy numbers lead to enhanced expression of YWHAQ (14-3-3-theta). Homozygous deletions were identified at 10 different genomic locations, most frequently affecting CDKN2A/CDKN2B in 9p21 (32%). Notably, the latter occurred mutually exclusive with 6p22 amplifications. CONCLUSION: The presented data indicates 6p22 as a composite amplicon with more than one possible target gene. The data also suggests that amplification of 6p22 and homozygous deletions of 9p21 may have complementary roles. Furthermore, the analysis of paralogous regions that showed genomic amplification indicated altered expression of YWHA (14-3-3) genes as important events in the development of UC.
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