ArticleOncotarget2018
Pan-cancer analysis of intratumor heterogeneity associated with patient prognosis using multidimensional measures.
Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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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.
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Who cites it
8 citing papers in PubMed.
- Variant allele frequency as a potential marker in response to frontline systemic therapy for patients with locally advanced and metastatic urothelial carcinoma.Translational andrology and urology · 2026Article
- Article
- Differential impact of intratumor heterogeneity (ITH) on survival outcomes in early-stage lung squamous and adenocarcinoma based on tumor mutational burden (TMB).Translational lung cancer research · 2024Article
- Early Evolution in Cancer: A Mathematical Support for Pathological and Genomic Evidence in Clear Cell Renal Cell Carcinoma.Cancers · 2023Article
- Disruptions in cell fate decisions and transformed enteroendocrine cells drive intestinal tumorigenesis in Drosophila.Cell reports · 2023Article
- Microfluidic Single-Cell Proteomics Assay Chip: Lung Cancer Cell Line Case Study.Micromachines · 2021Article
- Chromosome Instability; Implications in Cancer Development, Progression, and Clinical Outcomes.Cancers · 2020Review
- Comparative Approach to the Temporo-Spatial Organization of the Tumor Microenvironment.Frontiers in oncology · 2019Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human cancers accumulate various mutations during development and consist of highly heterogeneous cell populations. This phenomenon is called intratumor heterogeneity (ITH). ITH is known to be involved in tumor growth, progression, invasion, and metastasis, presenting obstacles to accurate diagnoses and effective treatments. Numerous studies have explored the dynamics of ITH, including constructions of phylogenetic trees in cancer samples using multiregional ultradeep sequencing and simulations of evolution using statistical models. Although ITH is associated with prognosis, it is still challenging to use the characteristics of ITH as prognostic factors because of difficulties in quantifying ITH precisely. In this study, we analyzed the relationship between patient prognosis and the distribution of variant allele frequencies (VAFs) in cancer samples (
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