Background: Colorectal cancer (CRC) is a heterogeneous disease that, on the molecular level, can be characterized by inherent genomic instabilities; chromosome instability and microsatellite instability. In the present study we analyze genome-wide disruption of pre-mRNA splicing, and propose transcriptome instability as a characteristic that is analogous to genomic instability on the transcriptome level.
Methods: Exon microarray profiles from two independent series including a total of 160 CRCs were investigated for their relative amounts of exon usage differences. Each exon in each sample was assigned an alternative splicing score calculated by the FIRMA algorithm. Amounts of deviating exon usage per sample were derived from exons with extreme splicing scores.
Results: There was great heterogeneity within both series in terms of sample-wise amounts of deviating exon usage. This was strongly associated with the expression levels of approximately half of 280 splicing factors (54% and 48% of splicing factors were significantly correlated to deviating exon usage amounts in the two series). Samples with high or low amounts of deviating exon usage, associated with overall transcriptome instability, were almost completely separated into their respective groups by hierarchical clustering analysis of splicing factor expression levels in both sample series. Samples showing a preferential tendency towards deviating exon skipping or inclusion were associated with skewed transcriptome instability. There were significant associations between transcriptome instability and reduced patient survival in both sample series. In the test series, patients with skewed transcriptome instability showed the strongest prognostic association (P = 0.001), while a combination of the two characteristics showed the strongest association with poor survival in the validation series (P = 0.03).
Conclusions: We have described transcriptome instability as a characteristic of CRC. This transcriptome instability has associations with splicing factor expression levels and poor patient survival.
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http://dx.doi.org/10.1186/gm248 | DOI Listing |
Cell Biol Toxicol
January 2025
Department of Medical Oncology, the First Hospital of China Medical University, Shenyang, Liaoning, China.
Background: Microsatellite instability-high (MSI-H) metastatic colorectal cancer (CRC) patients are the dominant population in immune checkpoint blockade treatments, while more than half of them could not benefit from single-agent immunotherapy. We tried to identify the biomarker of MSI-H CRC and explore its role and mechanism in anti-PD-1 treatments. Tumor-specific MHC-II was linked to a better response to anti-PD-1 in MSI-H CRC and CD74 promoted assembly and transport of HLA-DR dimers.
View Article and Find Full Text PDFNat Cancer
January 2025
Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Human tumors are diverse in their natural history and response to treatment, which in part results from genetic and transcriptomic heterogeneity. In clinical practice, single-site needle biopsies are used to sample this diversity, but cancer biomarkers may be confounded by spatiogenomic heterogeneity within individual tumors. Here we investigate clonally expressed genes as a solution to the sampling bias problem by analyzing multiregion whole-exome and RNA sequencing data for 450 tumor regions from 184 patients with lung adenocarcinoma in the TRACERx study.
View Article and Find Full Text PDFCancer Discov
January 2025
Cancer Dynamics Laboratory, The Francis Crick Institute, London, United Kingdom.
Using joint genomic-transcriptomic analysis of 243 samples, we reveal recurrent patterns of nongenetic evolution in ccRCC not exclusively governed by genetic factors, including T-cell depletion, tumor T-cell receptor coevolution, potential cGAS-STING repression, and increased cell proliferation. These patterns can aid clinical management and guide novel treatment approaches.
View Article and Find Full Text PDFNature
January 2025
Stanford Cancer Institute, School of Medicine, Stanford University, Stanford, CA, USA.
Breast cancer is a highly heterogeneous disease whose prognosis and treatment as defined by the expression of three receptors-oestrogen receptor (ER), progesterone receptor and human epidermal growth factor receptor 2 (HER2; encoded by ERBB2)-is insufficient to capture the full spectrum of clinical outcomes and therapeutic vulnerabilities. Previously, we demonstrated that transcriptional and genomic profiles define eleven integrative subtypes with distinct clinical outcomes, including four ER subtypes with increased risk of relapse decades after diagnosis. Here, to determine whether these subtypes reflect distinct evolutionary histories, interactions with the immune system and pathway dependencies, we established a meta-cohort of 1,828 breast tumours spanning pre-invasive, primary invasive and metastatic disease with whole-genome and transcriptome sequencing.
View Article and Find Full Text PDFESMO Open
January 2025
Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea; Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea. Electronic address:
Background: Intimal sarcoma is a rare and aggressive soft-tissue sarcoma with limited treatment options. We explored genomic profiles of intimal sarcoma to uncover therapeutic implications.
Materials And Methods: We analyzed tumor tissues from patients with intimal sarcoma who visited the Seoul National University Hospital (SNUH) using whole-exome, whole-transcriptome, and clinical next-generation sequencing (NGS), integrated with intimal sarcoma NGS data from two public cohorts.
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