ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2021
A multi-scale integrated analysis identifies KRT8 as a pan-cancer early biomarker.
Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 15 citations in OpenAlex.
- Systems-Level Mapping of the Tumor Microenvironment Reveals Immune-Mediated Mechanisms and Potential Targets in Platinum-Resistant Ovarian Cancer.Research square · 2026Article
- UCHL1 promotes temozolomide resistance in glioblastoma by inhibiting the ubiquitination-mediated degradation of keratin 8.Translational oncology · 2026Article
- HyperSTAR: Unveiling Tissue Structure and Tumor Microenvironment from Spatial Omics by Hypergraph Learning.Genomics, proteomics & bioinformatics · 2026Article
- A review of multi-omics integration techniques across five machine learning method families.Bioinformatics advances · 2026Review
- Plasma protein profiling predicts cancer in patients with non-specific symptoms.Nature communications · 2025Article
- Cellular Senescence as a Risk Factor in Head and Neck Cancer-Diagnostic and Therapeutic Perspective.Cancers · 2025Review
- Glycoproteomics Analysis of Triple Wild-Type Lung Adenocarcinoma Tissue Samples.Journal of proteome research · 2025Article
- Identification and multi-omics analysis of essential coding and long non-coding genes in colorectal cancer.Biochemistry and biophysics reports · 2025Article
- Association between keratin 8 expression and immune-related pneumonitis: a case-control study in lung adenocarcinoma patients.Frontiers in immunology · 2025Article
- Identification of autoantibodies as potential non-invasive biomarkers for intrahepatic cholangiocarcinoma.Scientific reports · 2024Article
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- The Urokinase Plasminogen Activation System in Pancreatic Cancer: Prospective Diagnostic and Therapeutic Targets.Biomolecules · 2022Review
- Identification and Analysis of Senescence-Related Genes in Head and Neck Squamous Cell Carcinoma by a Comprehensive Bioinformatics Approach.Mediators of inflammation · 2022Article
- Modification of STIM2 by mAnnals of translational medicine · 2022Article
- KRT8 Serves as a Novel Biomarker for LUAD and Promotes Metastasis and EMTFrontiers in oncology · 2022Article
- Immune-Like Malignant Epithelial Programs Shape Tumor-Immune Interactions and Inform Prognostic Stratification in Lung Adenocarcinoma.BioFactors (Oxford, England)Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
An early biomarker would transform our ability to screen and treat patients with cancer. The large amount of multi-scale molecular data in public repositories from various cancers provide unprecedented opportunities to find such a biomarker. However, despite identification of numerous molecular biomarkers using these public data, fewer than 1% have proven robust enough to translate into clinical practice. One of the most important factors affecting the successful translation to clinical practice is lack of real-world patient population heterogeneity in the discovery process. Almost all biomarker studies analyze only a single cohort of patients with the same cancer using a single modality. Recent studies in other diseases have demonstrated the advantage of leveraging biological and technical heterogeneity across multiple independent cohorts to identify robust disease biomarkers. Here we analyzed 17149 samples from patients with one of 23 cancers that were profiled using either DNA methylation, bulk and single-cell gene expression, or protein expression in tumor and serum. First, we analyzed DNA methylation profiles of 9855 samples across 23 cancers from The Cancer Genome Atlas (TCGA). We then examined the gene expression profile of the most significantly hypomethylated gene, KRT8, in 6781 samples from 57 independent microarray datasets from NCBI GEO. KRT8 was significantly over-expressed across cancers except colon cancer (summary effect size=1.05; p < 0.0001). Further, single-cell RNAseq analysis of 7447 single cells from lung tumors showed that genes that significantly correlated with KRT8 (p < 0.05) were involved in p53-related pathways. Immunohistochemistry in tumor biopsies from 294 patients with lung cancer showed that high protein expression of KRT8 is a prognostic marker of poor survival (HR = 1.73, p = 0.01). Finally, detectable KRT8 in serum as measured by ELISA distinguished patients with pancreatic cancer from healthy controls with an AUROC=0.94. In summary, our analysis demonstrates that KRT8 is (1) differentially expressed in several cancers across all molecular modalities and (2) may be useful as a biomarker to identify patients that should be further tested for cancer.
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33691026PMC7958996W3108236520What 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.