ArticleNature communications2018
Contribution of allelic imbalance to colorectal cancer.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 37 citations in OpenAlex.
- Developmental and MAPK-responsive transcription factors regulate distinct malignant cell states and associated genetic dependencies in pancreatic cancer.Nature genetics · 2026Article
- Nanopore sequencing reveals hidden landscape of short L1 transductions in colorectal cancer.Communications biology · 2026Article
- Allelic Imbalance and Chromothripsis Lead to Diversity in Japanese Tumor Genomes With Whole-Genome Duplication.Cancer science · 2025Article
- Diverse oncogenes use common mechanisms to drive growth of major forms of human cancer.Science advances · 2025Article
- Pan-cancer copy number analysis identifies optimized size thresholds and co-occurrence models for individualized risk stratification.Nature communications · 2025Article
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- Cytogenetic signatures favoring metastatic organotropism in colorectal cancer.Nature communications · 2025Article
- KRAS Loss of Heterozygosity Promotes MAPK-Dependent Pancreatic Ductal Adenocarcinoma Initiation and Induces Therapeutic Sensitivity to MEK Inhibition.Cancer research · 2025Article
- Lynch syndrome-associated and sporadic microsatellite unstable colorectal cancers: different patterns of clonal evolution yield highly similar tumours.Human molecular genetics · 2024Article
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- Cell-type-specific consequences of mosaic structural variants in hematopoietic stem and progenitor cells.Nature genetics · 2024Article
- CRISPR/Cas9: a powerful tool in colorectal cancer research.Journal of experimental & clinical cancer research : CR · 2023Review
- A competitive precision CRISPR method to identify the fitness effects of transcription factor binding sites.Nature biotechnology · 2023Article
- Copy Number Variations as Determinants of Colorectal Tumor Progression in Liquid Biopsies.International journal of molecular sciences · 2023Review
- Association between germline variants and somatic mutations in colorectal cancer.Scientific reports · 2022Article
- Copy Number Alterations as Novel Biomarkers and Therapeutic Targets in Colorectal Cancer.Cancers · 2022Review
- Follow-up of tissue genomics in BRCA1/2 carriers who underwent prophylactic surgeries.Breast cancer (Tokyo, Japan) · 2021Article
- The expressed mutational landscape of microsatellite stable colorectal cancers.Genome medicine · 2021Article
- Article
- Non-Coding Variants in Cancer: Mechanistic Insights and Clinical Potential for Personalized Medicine.Non-coding RNA · 2021Review
Corrections and comments
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Authors and funding
40 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Point mutations in cancer have been extensively studied but chromosomal gains and losses have been more challenging to interpret due to their unspecific nature. Here we examine high-resolution allelic imbalance (AI) landscape in 1699 colorectal cancers, 256 of which have been whole-genome sequenced (WGSed). The imbalances pinpoint 38 genes as plausible AI targets based on previous knowledge. Unbiased CRISPR-Cas9 knockout and activation screens identified in total 79 genes within AI peaks regulating cell growth. Genetic and functional data implicate loss of TP53 as a sufficient driver of AI. The WGS highlights an influence of copy number aberrations on the rate of detected somatic point mutations. Importantly, the data reveal several associations between AI target genes, suggesting a role for a network of lineage-determining transcription factors in colorectal tumorigenesis. Overall, the results unravel the contribution of AI in colorectal cancer and provide a plausible explanation why so few genes are commonly affected by point mutations in cancers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.