More projects

The Robin Lab has developed multiple Shiny-based platforms for tumor immunotherapy, drug resistance, and adverse-event analysis, offering users intuitive and ready-to-access data together with powerful visualization tools. Several of these applications have been published in top journals and have since become highly cited articles.

CAMOIP

Link：https://www.camoip.net
DOI：10.1093/bib/bbac129

CAMOIP is a powerful platform for discovering immunotherapy prognosis biomarkers and exploring molecular mechanisms. Users can screen biomarkers like gene mutations or expression for prognostic analysis. It offers modules for expression, pan-mutation, immunogenicity (TMB, NAL, MANTIS score), immune infiltration, and pathway enrichment (GSEA, ssGSEA) analysis. CAMOIP extends these capabilities to all TCGA cancer types, providing deep insights into immunotherapy outcomes and underlying biology.

CPADS

Link：https://smuonco.shinyapps.io/CPADS/
DOI：10.1093/bib/bbae237

CPADS is a Shiny-based web tool integrating expression data from over 29,000 samples, 44 cancer types, and 288 drugs. It provides diverse analysis methods, including gene differential expression, correlation, pathway, and drug response analysis, with rich visualizations. CPADS significantly aids clinicians and researchers in exploring pan-cancer drug sensitivity, maximizing the utility of public databases for oncological pharmacogenomics. This tool streamlines the investigation of drug efficacy and resistance mechanisms across various cancers.

OnlineMeta

Link：https://smuonco.shinyapps.io/Onlinemeta/
DOI：10.1101/2022.04.13.488126v4

OnlineMeta offers robust risk-of-bias analysis and meta-analysis for seven variable types, plus network meta-analysis for two types. Users submit data, and the platform executes analyses, generating diverse visualizations: bar charts, heatmaps for risk-of-bias; forest plots, funnel plots, SROC for meta-analysis; and heatmaps, ranking plots for network meta-analysis. It provides comprehensive insights for systematic reviews, supporting complex statistical analysis and visual representation.

PESSA

Link：https://smuonco.shinyapps.io/PESSA
DOI：10.1371/journal.pcbi.1012024

PESSA is an open-access web tool for prognostic analysis using pathway enrichment gene set activation as biomarkers. It integrates 238 datasets from GEO, TCGA, EGA, and articles, covering 51 cancer types and 13 survival states. Users can select gene set biomarkers to retrieve survival analysis results, including Kaplan-Meier plots (median/optimal cutoff) and univariate Cox regression for both dichotomized and continuous variables, offering intuitive visualizations for tumor prognosis based on pathway activity.

HPVTIMER

Link：http://www.hpvtimer.com/
DOI：10.1002/imt2.130

HPVTIMER is a comprehensive online platform analyzing the immune microenvironment of HPV-associated tumors. It integrates gene expression data from 65 transcriptomic datasets across 8 HPV-related tumor types (2,290 samples, >10,000 genes) from GEO. Featuring differential expression, correlation, immune infiltration, and pathway analysis modules, HPVTIMER facilitates systematic and comparative analyses. It helps users explore immune regulatory mechanisms and potential immunotherapy targets in HPV-associated cancers.

THER

Link：https://smuonco.shinyapps.io/THER/
DOI：10.1111/cpr.70053

THER is an online tool for exploring tumor hypoxia. It uses 63 hypoxia-related transcriptomic datasets from GEO, enabling differential expression, expression profiling, correlation, enrichment, and drug sensitivity analyses based on oxygen status. THER supports biomarker screening for potential diagnostic markers and guides clinicians in selecting more effective drugs, enhancing diagnostic efficiency and treatment outcomes by identifying personalized therapeutic strategies based on tumor oxygenation status.

PanCanSurvPlot

Link：https://smuonco.shinyapps.io/PanCanSurvPlot/
DOI：10.1101/2022.12.25.521884

PanCanSurvPlot is a Shiny web tool integrating 215 tumor datasets from GEO and TCGA, covering ~100,000 genes and ~45,000 samples across 51 cancer types and 13 survival states. It offers survival analysis results based on median and optimal cutoff for log-rank tests and univariate Cox regression, presented in clear summary tables. Users can customize color schemes and cutoff levels to generate high-quality, publication-ready Kaplan-Meier survival plots, facilitating pan-cancer prognostic research.

OralExplorer

Link：https://smuonco.shinyapps.io/OralExplorer/
DOI：10.1186/s12967-024-05019-8

OralExplorer is a comprehensive bioinformatics tool for common oral diseases, integrating 35 datasets and 901 samples across 6 major disease types. It features five modules—differential gene expression, immune infiltration, correlation, pathway enrichment, and single-cell analysis—with diverse visualization options. Biomarkers identified were validated with clinical samples, confirming accuracy. The tool enables interactive exploration of disease mechanisms and uncovers valuable insights from oral health data for dental researchers.

ImmunoCheckDB

Link：https://smuonco.shinyapps.io/ImmunoCheckDB
DOI：10.1002/mef2.70025

ImmunoCheckDB comprises three core modules: meta-analysis, network meta-analysis, and multi-omics association analysis. These functionalities empower users to analyze immunotherapy efficacy and explore its complex relationships with diverse tumor multi-omics data. This robust platform provides critical support for cancer immunotherapy research, facilitating deeper understanding of treatment responses and underlying biological mechanisms to advance therapeutic strategies.

ARIS

Link：https://smuonco.shinyapps.io/ARIS

ARIS is a 10-year initiative building a comprehensive platform for immunotherapy combination design. Named for "excellence," it unfolds in three phases. Phase 1 explores mechanisms, investigating single chemotherapeutic drug impacts on the tumor immune microenvironment. Phase 2 optimizes combinations, systematically evaluating regulatory effects of different therapies. Phase 3 integrates real-world cohort and clinical trial data to create a "panoramic immunotherapy combination map" for optimized cancer treatment strategies.

PDMSA

Link：https://smuonco.shinyapps.io/PDMSA/

PDMSA is a large-scale, interactive web tool dedicated to pan-cancer survival analysis and visualization using DNA methylation sites. It enables users to swiftly explore the impact of targeted DNA methylation on survival outcomes across various tumors. This functionality assists clinicians and researchers in uncovering the mechanisms of tumor development and enhancing clinical decision-making by providing accessible insights into methylation-driven prognostic markers.