ArticleCancer research2017
TumorMap: Exploring the Molecular Similarities of Cancer Samples in an Interactive Portal.
Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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
49 citing papers in PubMed.
- Clinical and Genomic Characterization of Treatment-Emergent Small-Cell Neuroendocrine Prostate Cancer: A Multi-institutional Prospective Study.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2018Trial
- Deciphering sepsis molecular subtypes using large-scale data to identify subtype-specific drug repurposing.bioRxiv : the preprint server for biology · 2026Article
- Big Data and Artificial Intelligence in Cancer Drug Discovery: Promise, Challenges, and Emerging Opportunities.Cancers · 2026Review
- Glucagon-like peptide-1 receptor (GLP-1R) overexpression defines a distinct immunogenetic subset in primary and metastatic thyroid cancer: implications for GLP-1R agonist therapy.Frontiers in oncology · 2026Article
- Data-based clustering in prediction of cervical cancer DNA methylation using pan-cancer genetic and clinical data.Bioinformatics advances · 2026Article
- Pan-cancer immune and stromal deconvolution predicts clinical outcomes and mutation profiles.Scientific reports · 2025Article
- Consistently processed RNA sequencing data from 50 sources enriched for pediatric data.Scientific data · 2025Article
- Comparative analysis of RNA expression identifies effective targeted drug in myoepithelial carcinoma.NPJ precision oncology · 2025Article
- Comparative analysis of RNA expression in a single institution cohort of pediatric cancer patients.NPJ precision oncology · 2025Article
- Single-cell signatures identify microenvironment factors in tumors associated with patient outcomes.Cell reports methods · 2024Article
- Multiomics analysis identifies oxidative phosphorylation as a cancer vulnerability arising from myristoylation inhibition.Journal of translational medicine · 2024Article
- shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning.Patterns (New York, N.Y.) · 2024Article
- Prognostic significance of alpha-2-macrglobulin and low-density lipoprotein receptor-related protein-1 in various cancers.American journal of cancer research · 2024Article
- MYC Overexpression Drives Immune Evasion in Hepatocellular Carcinoma That Is Reversible through Restoration of Proinflammatory Macrophages.Cancer research · 2023Article
- A molecular phenotypic map of malignant pleural mesothelioma.GigaScience · 2022Article
- Characterizing the extracellular matrix transcriptome of cervical, endometrial, and uterine cancers.Matrix biology plus · 2022Article
- Review
- Detecting molecular subtypes from multi-omics datasets using SUMO.Cell reports methods · 2022Article
- Comprehensive Analysis of the Carcinogenic Process, Tumor Microenvironment, and Drug Response in HPV-Positive Cancers.Frontiers in oncology · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Vast amounts of molecular data are being collected on tumor samples, which provide unique opportunities for discovering trends within and between cancer subtypes. Such cross-cancer analyses require computational methods that enable intuitive and interactive browsing of thousands of samples based on their molecular similarity. We created a portal called TumorMap to assist in exploration and statistical interrogation of high-dimensional complex "omics" data in an interactive and easily interpretable way. In the TumorMap, samples are arranged on a hexagonal grid based on their similarity to one another in the original genomic space and are rendered with Google's Map technology. While the important feature of this public portal is the ability for the users to build maps from their own data, we pre-built genomic maps from several previously published projects. We demonstrate the utility of this portal by presenting results obtained from The Cancer Genome Atlas project data.
Indexed as
Identifiers
What OpenQuestion holds
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.