SynthesisScientific data2021
An integrated landscape of protein expression in human cancer.
Synthesis in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.
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
43 citing papers in PubMed, 1 synthesis or guideline pooled it, 74 citations in OpenAlex.
- Integrated meta-analysis of colorectal cancer public proteomic datasets for biomarker discovery and validation.PLoS computational biology · 2024Pooled it
- Review
- Enabling cross-indication protein expression analysis using a curated pan-cancer dataset and a tailored workflow.Scientific reports · 2026Article
- BDDN: bayesian dynamic differential network analysis in cancer proteomics.BMC bioinformatics · 2026Article
- The ProteomeXchange consortium in 2026: making proteomics data FAIR.Nucleic acids research · 2026Article
- Expression Atlas in 2026: enabling FAIR and open expression data through community collaboration and integration.Nucleic acids research · 2026Article
- Surface Proteomic Analysis Reveals the Presence of Noncanonical Cell Membrane Endoplasmic Reticulum Chaperones in High-Grade Gliomas.Journal of proteome research · 2026Article
- Research on the Mechanism of "Cold Tumor" Formation and Immunotherapy for Its Transformation into "Hot Tumor".Oncology research · 2026Review
- Proteomics Data Imputation With a Deep Model That Learns From Many Datasets.Molecular & cellular proteomics : MCP · 2025Article
- Proteomic Perspectives on KRAS-Driven Cancers and Emerging Therapeutic Approaches.Current oncology (Toronto, Ont.) · 2025Review
- An Approach to Integrate Metagenomics, Metatranscriptomics and Metaproteomics Data in Public Data Resources.Proteomics · 2025Article
- Defining the Parameters for Sorting of RNA Cargo Into Extracellular Vesicles.Journal of extracellular vesicles · 2025Article
- Improved quantitative accuracy in data-independent acquisition proteomics via retention time boundary imputation.bioRxiv : the preprint server for biology · 2025Article
- Integrated View of Baseline Protein Expression in Human Tissues Using Public Data Independent Acquisition Data Sets.Journal of proteome research · 2025Article
- MIRO2 promotes cancer invasion and metastasis via MYO9B suppression of RhoA activity.Cell reports · 2025Article
- The PRIDE database at 20 years: 2025 update.Nucleic acids research · 2025Article
- quantms: a cloud-based pipeline for quantitative proteomics enables the reanalysis of public proteomics data.Nature methods · 2024Article
- Integrated Proteomics Analysis of Baseline Protein Expression in Pig Tissues.Journal of proteome research · 2024Article
- GraphPath: a graph attention model for molecular stratification with interpretability based on the pathway-pathway interaction network.Bioinformatics (Oxford, England) · 2024Article
- 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
9 authors at 2 institutions in 2 countries.
Funding
Abstract
Using 11 proteomics datasets, mostly available through the PRIDE database, we assembled a reference expression map for 191 cancer cell lines and 246 clinical tumour samples, across 13 lineages. We found unique peptides identified only in tumour samples despite a much higher coverage in cell lines. These were mainly mapped to proteins related to regulation of signalling receptor activity. Correlations between baseline expression in cell lines and tumours were calculated. We found these to be highly similar across all samples with most similarity found within a given sample type. Integration of proteomics and transcriptomics data showed median correlation across cell lines to be 0.58 (range between 0.43 and 0.66). Additionally, in agreement with previous studies, variation in mRNA levels was often a poor predictor of changes in protein abundance. To our knowledge, this work constitutes the first meta-analysis focusing on cancer-related public proteomics datasets. We therefore also highlight shortcomings and limitations of such studies. All data is available through PRIDE dataset identifier PXD013455 and in Expression Atlas.
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.