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Mecklin, J.-P.

Publications and source records attributed to Mecklin, J.-P..

5 recordsLinked to original sources

Colorectal cancer heterogeneity co-evolves with tumor architecture to determine disease outcome

Intratumoral heterogeneity, originating from genetic, epigenetic, and phenotypic cellular diversity, is pervasive in cancer. As these heterogeneous states employ diverse mechanisms to promote tumor progression, metastasis, and therapy resistance, emergence of cancer heterogeneity is one of the most significant barriers to curative treatment. Here we leverage deep learning approaches to develop a high-throughput image-analysis paradigm with subcellular resolution that quantifies and predicts colorectal cancer (CRC) patient outcome based on tissue architecture and nuclear morphology. We further combine this approach with spatial transcriptomics, multiplex immunohistochemistry, and patient-derived organoids to uncover a dynamic, co-evolutionary relationship between tumor architecture and cell states. We identify clinically relevant architectural interfaces in CRC tissue that diversify cellular identities by favoring distinct cancer stem cell states and thus promote evolution of tumor heterogeneity. Specifically, tissue fragmentation and associated compressive forces promote loss of classic stem cell signature and acquisition of fetal/regenerative stem cell states, which initially emerges as a hybrid state with features of epithelial-to-mesenchyme (EMT) transition. Additional tumor stroma communication then diversifies these states into distinct stem cell and EMT states at the invasive margins of tumors. Reciprocally, Wnt signaling state of tumor cells tunes their responsiveness to tissue architecture. Collectively, this work uncovers a feedback loop between cell states and tissue architecture that drives cancer heterogeneity and cell state diversification. Machine learning-based analyses harness this co-dependency, independently of mutational status or cancer stage, to predict patient outcome.

cancer biology↗

Constrained hypermutation and absence of TERT promoter mutations in Lynch syndrome-associated urothelial cancer

Lynch syndrome (LS) is a hereditary condition characterized by defective DNA mismatch repair (MMR) and high incidence of several cancers, including urothelial cancers (UC) of the upper urinary tract and bladder. We set out to study the somatic landscape of LS-associated urothelial cancer (LS-UC) by analyzing 41 surgical tumor samples and 3 urine DNA samples from 34 LS-UC patients. We show that telomerase reverse transcriptase (TERT) promoter mutations found in 83% of sporadic UC are almost completely absent (5%) in LS-UC (p < 0.00001). Instead, all LS-UC carried a 5-methylcytosine deamination (CG>TG) and microsatellite instability driven mutation landscape characterized by highly frequent ARID1A (82%), FGFR3 (80%), and KMT2D (78%) mutations, as well as preferential usage of CG>TG mutation hotspots. We propose that the scarcity of TERT promoter mutations in LS-UC is due to inability to create the necessary GABP binding motif (5-GGAA) through CG>TG mutation or microsatellite instability. Our data shows that LS-UC represents a disease entity with unique genomic characteristics.

cancer biology↗

Systemic circulating microRNA landscape in Lynch syndrome

MicroRNAs (miRs) are non-coding RNA-molecules that regulate gene expression. Global circulating miR (c-miR) expression patterns (c-miRnome) change with carcinogenesis in various sporadic cancers. Therefore, aberrantly expressed c-miRs could have diagnostic, predictive and prognostic potential in molecular profiling of cancers. c-miR functions in carriers of inherited pathogenic mismatch-repair gene variants (path_MMR), also known as Lynch syndrome (LS), have remained understudied. LS cohort provides an ideal population for biomarker mining due to increased lifelong cancer risk and excessive cancer occurrence. Using high-throughput sequencing and bioinformatic approaches, we conducted an exploratory analysis to characterize systemic c-miRnomes of path_MMR carriers. Our discovery cohort included 81 healthy path_MMR carriers and 37 non-LS controls. Our analysis also included cancer cohort comprised of 13 path_MMR carriers with varying cancers and 24 sporadic rectal cancer patients. We showed for the first time that c-miRnome can discern healthy path_MMR carriers from non-LS controls but does not distinguish healthy path_MMR carriers from cancer patients with or without path_MMR. Our c-miR expression analysis combined with in silico tools suggest ongoing alterations of biological pathways shared in LS and sporadic carcinogenesis. We observed that these alterations can produce a c-miR signature which can be used to track oncogenic stress in cancer-free path_MMR carriers. Thus, c-miRs hold potential in monitoring which cancer patients would require more intensive surveillance or clinical management. SignificanceC-miRnome can discern between healthy persons with or without path_MMR but does not distinguish healthy path_MMR carriers from cancer patients with or without path_MMR, indicating an ongoing alteration of biological pathways that can be used to track oncogenic stress at cancer-free state.

cancer biology↗

The shared neoantigen landscape of MSI cancers reflects immunoediting during tumor evolution

The immune system can recognize and attack cancer cells, especially those with a high load of mutation-induced neoantigens. Such neoantigens are particularly abundant in DNA mismatch repair (MMR)-deficient, microsatellite-unstable (MSI) cancers. MMR deficiency leads to insertion/deletion (indel) mutations at coding microsatellites (cMS) and to neoantigen-inducing translational frameshifts. The abundance of mutational neoantigens renders MSI cancers sensitive to immune checkpoint blockade. However, the neoantigen landscape of MMR-deficient cancers has not yet been systematically mapped. In the present study, we used a novel tool to monitor neoantigen-inducing indel mutations in MSI colorectal and endometrial cancer. Our results show that MSI cancers share several highly immunogenic neoantigens that result from specific, recurrent indel mutation events. Notably, the frequency of such indel mutations was negatively correlated to the predicted immunogenicity of the resulting neoantigens. These observations suggest continuous immunoediting of emerging MMR-deficient cells during tumor evolution.\n\nOne sentence summaryQuantitative indel mutation analysis reveals evidence of immune selection in mismatch repair-deficient cancers

cancer biology↗

Retrotransposon insertions can initiate colorectal cancer and are associated with poor survival

Genomic instability pathways in colorectal cancer (CRC) have been extensively studied, but the role of retrotransposition in colorectal carcinogenesis remains poorly understood. Although retrotransposons are usually repressed, they become active in several human cancers, in particular those of the gastrointestinal tract. Here we characterize retrotransposon insertions in 202 colorectal tumor whole genomes and investigate their associations with molecular and clinical characteristics. We found highly variable retrotransposon activity among tumors and identified recurrent insertions in 15 known cancer genes. In approximately 1% of the cases we identified insertions in APC, likely to be tumor-initiating events. Insertions were positively associated with the CpG island methylator phenotype and the genomic fraction of allelic imbalance. Clinically, high number of insertions was independently associated with poor disease-specific survival.

genomics↗