ArticleNature2024
Polyclonal-to-monoclonal transition in colorectal precancerous evolution.
Abstract read
In one paragraph
Article in Nature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed.
- Computational approaches for multimodal lineage tracing.Nature reviews. Genetics · 2026Review
- Spatial Integration of Protein and Chromosomal States Reveals Early Copy-Number Changes and Genotype-Associated Immune Neighborhoods in Serous Ovarian Cancer Evolution.Cancer discovery · 2026Article
- Mechanism-Driven Diagnostic Development: A Specimen-Aware Framework Illustrated by Colorectal Cancer and Solid Tumours.Cancers · 2026Review
- Spatio-DARLIN enables robust and efficient in situ lineage tracing in mice at single-cell resolution.Nature methods · 2026Article
- High-diversity base mutagenesis via simultaneous adenine, cytosine and guanine editing.Nature communications · 2026Article
- BASELINE: a CRISPR base editing platform for mammalian-scale single-cell lineage tracing.Nucleic acids research · 2026Article
- Specificity-driven cell-gene graph learning identifies rare cell states in single-cell and spatial transcriptomic data.Advanced biotechnology · 2026Article
- Tumor heterogeneity: development, mechanisms, and therapeutic implications.Signal transduction and targeted therapy · 2026Review
- Leucine-Restricted Diet Attenuates Small Intestinal Tumorigenesis in ApcFood science & nutrition · 2026Article
- Lineage tracing from cellular heritage to disease destiny.Nature genetics · 2026Review
- Article
- Longitudinal lineage tracing reveals early clonal attrition during Drosophila midgut aging.PLoS biology · 2026Article
- Charting single-cell lineages with synthetic and natural barcodes.Nature reviews. Genetics · 2026Review
- Beyond the chaos: How architecture structures tumour biology.The FEBS journal · 2026Review
- Spatial multi-omics unveils the monoclonal origin, neuroendocrine plasticity, and microenvironment niches in combined small-cell lung cancer.Cell reports. Medicine · 2026Article
- Single-Cell Transcriptomics Reveals Immune Modulation by Telmisartan in Colorectal Cancer.Cells · 2026Article
- Mapping the zygote-to-adult developmental cell phylogeny in Arabidopsis thaliana reveals a three-cell rule of branching.Nature plants · 2026Article
- One, two, many: how many cells start a tumour?Nature reviews. Cancer · 2026Article
- Single-cell mitochondrial lineage tracing: Opportunities and challenges.Quantitative biology (Beijing, China) · 2026Review
- Full spatio-temporal analyses of migration and colonization in evolution-dense 3D mapping of cancer metastases provides new insights.Molecular biology and evolution · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors.
Zhaolian Lu *Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Shanlan Mo *Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Duo Xie *Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID 0000-0001-7010-3601
Xiangwei Zhai *MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.
Shanjun Deng *MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0003-3094-7484
Kantian ZhouKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Kun WangKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID 0009-0009-6503-4678
Xueling KangKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Hao ZhangKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID 0000-0002-1005-2133
Juanzhen TongKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Liangzhen HouKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Huijuan HuKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Xuefei LiKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID 0000-0002-6085-0838
Da ZhouSchool of Mathematical Sciences, Xiamen University, Xiamen, China.ORCID 0000-0002-0272-6644
Leo Tsz On LeeCancer Centre, Faculty of Health Sciences, University of Macau, Taipa, Macau, China.ORCID 0000-0003-3691-478X
Li LiuMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0003-4588-4906
Yaxi ZhuDepartment of Pathology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jing YuDepartment of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Ping LanDepartment of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID 0000-0002-8901-8498
Jiguang WangSIAT-HKUST Joint Laboratory of Cell Evolution and Digital Health, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID 0000-0002-6923-4097
Zhen HeDepartment of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. hezh5@mail.sysu.edu.cn.ORCID 0000-0001-8735-6672
Xionglei HeMOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Innovation Center for Evolutionary Synthetic Biology, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China. hexiongl@mail.sysu.edu.cn.ORCID 0000-0003-1050-802X
Zheng HuKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. zheng.hu@siat.ac.cn.ORCID 0000-0003-1552-0060
Funding
Guangdong Basic and Applied Basic Research FoundationNational Key R&D Program of ChinaNational Natural Sciences Foundation of China
Abstract
Unravelling the origin and evolution of precancerous lesions is crucial for effectively preventing malignant transformation, yet our current knowledge remains limited
Indexed as
Cell LineageClonal EvolutionClone CellsColorectal NeoplasmsPrecancerous ConditionsSingle-Cell AnalysisAnimalsCarcinogenesisCell Transformation, NeoplasticColonic PolypsDisease Models, AnimalDNA Barcoding, TaxonomicExome SequencingGenes, APCHumansInflammation
Identifiers
PMID
39478225What OpenQuestion holds
Textmetadata
Read underepoch 390
Registered trials
None linked
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.