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Markus Heidenblad

Publications and source records attributed to Markus Heidenblad.

8 recordsLinked to original sources
PubMed2026

Genomic Medicine Sweden: Advancing precision medicine at the national level.

High-throughput sequencing has transformed clinical diagnostics of rare diseases (RD), cancer and infectious diseases by enabling the identification of disease-causing genetic alterations and facilitating individualised treatment and care. In response to these advances, Genomic Medicine Sweden (GMS) was established in 2017 as a national collaborative effort to accelerate implementation of genomics-based precision medicine within Sweden's regionally organized, publicly funded healthcare system. GMS brings together the seven university healthcare regions and their associated medical faculties, in collaboration with healthcare regions across Sweden, Science for Life Laboratory, patient organizations, industry and governmental agencies. Activities are coordinated through national disease-specific expert groups, supported by cross-cutting functions in bioinformatics, health economics, ethics, education and patient engagement. At the operational level, seven Genomic Medicine Centres, embedded at university hospitals, develop and deliver harmonised genomic diagnostics nationwide. The National Genomics Platform provides secure infrastructure for large-scale data storage, analysis, and national and international data sharing. Following initial project-based funding, GMS now receives long-term governmental support. This review describes the national implementation of genomic-based precision diagnostics, discusses challenges and lessons learnt, and highlights key milestones across disease areas, including whole-genome sequencing in RD and paediatric cancer, comprehensive genomic profiling of haematological malignancies and solid tumours, pathogen genomics in microbiology, pharmacogenomic testing and emerging applications of polygenic risk scores in complex diseases. Collectively, these efforts have contributed to more than 500,000 genomic tests being performed within Swedish healthcare between 2017 and 2025. Finally, we outline future diagnostic needs and priority areas to ensure sustainable, scalable and equitable access to precision medicine.

Precision Medicine↗
PubMed2026

Stage-Independent Real-Time Subtype Classification and Comprehensive Biopsy Profiling of Urothelial Carcinomas by the Lund Taxonomy System.

Bladder cancer is a heterogeneous malignancy with diverse clinical outcomes, and conventional pathological assessment alone is insufficient to capture its underlying biology. Gene expression profiling can stratify tumors into molecular subtypes with prognostic and predictive potential, but the reliability of transcriptomic classification and its clinical utility remains to be established. The translational/observational UROSCANSEQ study (ISRCTN15459149) prospectively evaluates RNA-based Lund Taxonomy (LundTax) molecular subtype classification in a clinical setting. Among 784 consecutive biopsies collected between 2018 and 2022, RNA sequencing was successful for 90% of all biopsies, encompassing 662 bladder cancer patients with a stage distribution of 48% Ta, 27% T1, 24% ≥T2, and 1% CIS. We demonstrate that the LundTax subtype classification algorithm, applied to individual samples, accurately identifies cancer cell phenotypes with characteristic gene and protein expression patterns in a manner robust to RNA quality, data preprocessing strategies, and batch effects, supporting its clinical feasibility across both non-muscle-invasive and muscle-invasive disease. We further extend the LundTax framework by incorporating single-sample molecular risk scores reflecting tumor grade, proliferation, and progression risk, as well as tumor microenvironment signatures. Both risk scores and overall immune and stromal content in biopsies were significantly associated with an increased risk of clinical progression in noninvasive disease. In a separate analysis of the relative cellular composition of the tumor microenvironment, however, only the fraction of natural killer cells remained significant. Together, the expanded LundTax system provides a comprehensive molecular portrait of individual tumor biopsies. By explicitly separating cancer cell-intrinsic phenotypes, prognostic indexes, and microenvironmental signals, the framework minimizes biological confounding and establishes a strong foundation for future studies evaluating clinical outcomes and treatment responses.

Humans↗
PubMed2007

Tiling resolution array comparative genomic hybridization analysis of a fibrosarcoma of bone.

Fibrosarcoma of bone is a rare malignant tumor accounting for less than 5% of all primary malignant bone neoplasms. There is very limited knowledge regarding the molecular genetics of this tumor, and there are no cytogenetic data available. In the present study, a fibrosarcoma deriving from the left iliac bone of a 10-year-old girl was characterized using cytogenetics, fluorescence in situ hybridization (FISH), and whole genome tiling resolution array comparative genomic hybridization (CGH). Cytogenetic and FISH analyses revealed a ring chromosome 6 as the sole acquired aberration, a finding corroborated by array CGH. The ring formation, however, did not result in any gain of genetic material. Nor did the breakpoints in 6p25 and 6q14 seem to affect any known gene loci in such a way that the ring formation could have resulted in the creation of a fusion gene or in the exchange of regulatory sequences. Thus, a reasonable interpretation of the pathogenetic significance of the ring formation would be that it resulted in the loss of one or more putative tumor suppressor gene loci distal to the two breakpoints.

Bone Neoplasms↗
PubMed2005

Microarray analyses reveal strong influence of DNA copy number alterations on the transcriptional patterns in pancreatic cancer: implications for the interpretation of genomic amplifications.

DNA copy number alterations are believed to play a major role in the development and progression of human neoplasms. Although most of these genomic imbalances have been associated with dysregulation of individual genes, their large-scale transcriptional consequences remain unclear. Pancreatic carcinomas frequently display gene copy number variation of entire chromosomes as well as of chromosomal subregions. These changes range from homozygous deletions to high-level amplifications and are believed to constitute key genetic alterations in the cellular transformation of this tumor type. To investigate the transcriptional consequences of the most drastic genomic changes, that is, genomic amplifications, and to analyse the genome-wide transcriptional effects of DNA copy number changes, we performed expression profiling of 29 pancreatic carcinoma cell lines and compared the results with matching genomic profiling data. We show that a strong association between DNA copy numbers and mRNA expression levels is present in pancreatic cancer, and demonstrate that as much as 60% of the genes within highly amplified genomic regions display associated overexpression. Consequently, we identified 67 recurrently overexpressed genes located in seven precisely mapped commonly amplified regions. The presented findings indicate that more than one putative target gene may be of importance in most pancreatic cancer amplicons.

Chromosome Mapping↗
PubMed2004

Genome-wide array-based comparative genomic hybridization reveals multiple amplification targets and novel homozygous deletions in pancreatic carcinoma cell lines.

Pancreatic carcinomas display highly complex chromosomal abnormalities, including many structural and numerical aberrations. There is ample evidence indicating that some of these abnormalities, such as recurrent amplifications and homozygous deletions, contribute to tumorigenesis by altering expression levels of critical oncogenes and tumor suppressor genes. To increase the understanding of gene copy number changes in pancreatic carcinomas and to identify key amplification/deletion targets, we applied genome-wide array-based comparative genomic hybridization to 31 pancreatic carcinoma cell lines. Two different microarrays were used, one containing 3,565 fluorescence in situ hybridization-verified bacterial artificial chromosome clones and one containing 25,468 cDNA clones representing 17,494 UniGene clusters. Overall, the analyses revealed a high genomic complexity, with several copy number changes detected in each case. Specifically, 60 amplicons at 32 different locations were identified, most frequently located within 8q (8 cases), 12p (7 cases), 7q (5 cases), 18q (5 cases), 19q (5 cases), 6p (4 cases), and 8p (4 cases). Amplifications of 8q and 12p were mainly clustered at 8q23-24 and 12p11-12, respectively, whereas amplifications on other chromosome arms were more dispersed. Furthermore, our analyses identified several novel homozygously deleted segments located to 9p24, 9p21, 9q32, 10p12, 10q22, 12q24, and 18q23. The individual complexity and aberration patterns varied substantially among cases, i.e., some cell lines were characterized mainly by high-level amplifications, whereas others showed primarily whole-arm imbalances and homozygous deletions. The described amplification and deletion targets are likely to contain genes important in pancreatic tumorigenesis.

Cell Line, Tumor↗
PubMed2003

Pancreatic carcinoma cell lines with SMAD4 inactivation show distinct expression responses to TGFB1.

Transforming growth factor beta-1 (TGFB1)-induced gene expression was studied in five pancreatic carcinoma cell lines and one known TGFB1-sensitive cell line (HaCaT) by use of high-density filter-based cDNA microarrays representing over 4,000 human genes. The results indicate a complex cellular response to TGFB1 with 10% of the investigated genes showing altered expression after 3 or 48 hr of TGFB1 exposure. The tumor cell lines displayed a gradually inversed gene expression pattern, which correlated with reduced sensitivity to TGFB1, as compared to the HaCaT cell line. In the HaCaT cells, several proapoptotic genes showed increased expression in response to TGFB1, whereas the expression of antiapoptotic genes was decreased. In contrast, two pancreatic carcinoma cell lines, previously found to be growth stimulated by TGFB1, displayed an expression pattern opposite to that of these genes. Similarly, the expression of other functional groups of genes, such as cell cycle and transcription factor related genes, was almost completely reversed in these two tumor cell lines. Importantly, three of the five investigated pancreatic carcinoma cell lines responded to TGFB1, although they had SMAD4 inactivations, suggesting that the observed gene expression changes in these cell lines must be accomplished by SMAD-independent pathways.

Cluster Analysis↗
PubMed2002

Detailed genomic mapping and expression analyses of 12p amplifications in pancreatic carcinomas reveal a 3.5-Mb target region for amplification.

Previous cytogenetic and comparative genomic hybridization (CGH) analyses have shown that the gain of chromosome arm 12p is frequent in pancreatic carcinomas. We investigated 15 pancreatic carcinoma cell lines using CGH, fluorescence in situ hybridization (FISH), and semiquantitative polymerase chain reaction (PCR) to characterize 12p amplifications in detail. The CGH analysis revealed gains of 12p in four of the cell lines and local amplification within 12p11-12 in six cell lines. By FISH analysis, using precisely mapped YAC clones, the commonly amplified region was found to be approximately 5 Mb. The amplified segment extended from YAC 753f12, covering the KRAS2 locus, to YAC 891f1, close to the centromere. A semiquantitative PCR methodology was used to estimate genomic copy numbers of 14 precisely mapped expressed sequence tags (ESTs) and sequence-tagged sites, located within this interval. The level of amplification ranged from two- to 12-fold. The produced gene copy profiles revealed a 3.5-Mb segment with various local amplifications. This region includes KRAS2 and ranges from D12S1617 to sts-N38796. Two of the cell lines (primary and metastatic tumor from the same patient) showed amplification peaks within the distal region of this segment, two had peaks within the proximal region, one showed subpeaks in both regions, and one displayed amplification of the entire region. Chromosome segment-specific cDNA array analysis of 29 expressed sequences within the whole interval between D12S1617 and sts-N38796 indicated overexpression of four ESTs, two corresponding to DEC2 and PPFIBP1, and two to ESTs with unknown function. Expression analysis of these and of KRAS2 showed specific overexpression in the six cell lines with local 12p amplifications. These findings indicate two target regions within the 3.5-Mb segment in 12p11-12, one proximal including PPFIBP1, and one distal including KRAS2.

Carcinoma↗