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Related Experiment Video

Updated: Feb 6, 2026

Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
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TIP: A Web Server for Resolving Tumor Immunophenotype Profiling.

Liwen Xu1, Chunyu Deng1, Bo Pang1

  • 1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China.

Cancer Research
|August 30, 2018
PubMed
Summary
This summary is machine-generated.

A new web tool, TIP, helps researchers evaluate tumor immunophenotype and anticancer immunity. This resource aids in understanding cancer immunity mechanisms and developing effective cancer immunotherapy biomarkers.

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Area of Science:

  • Oncology
  • Immunology
  • Bioinformatics

Background:

  • Systematic tracking of tumor immunophenotype is crucial for understanding cancer immunity.
  • Current research faces limitations due to a lack of comprehensive immune activity resources and user-friendly evaluation tools.
  • Evaluating immune activity within the cancer-immunity cycle is essential for advancing cancer immunotherapy.

Purpose of the Study:

  • To develop a user-friendly, one-stop web tool for comprehensive tumor immunophenotype analysis.
  • To enable convenient evaluation of anticancer immune activity and tumor-infiltrating immune cells.
  • To provide a platform for analyzing immune activity across the seven-step cancer-immunity cycle.

Main Methods:

  • Development of the Tumor Immunophenotype (TIP) web tool.
  • Implementation of rapid analysis and intuitive visualization of immune activity.
  • Pre-calculation of pan-cancer immunophenotypes for 11,373 The Cancer Genome Atlas (TCGA) samples across 33 human cancers.

Main Results:

  • TIP offers a user-friendly interface for biologists, clinicians, and researchers.
  • The tool facilitates rapid analysis and intuitive visualization of anticancer immunity.
  • Pre-calculated pan-cancer data allows for efficient comparison of tumor immunophenotypes.

Conclusions:

  • TIP serves as a valuable resource for evaluating anticancer immune activity using gene expression data.
  • The platform is expected to support numerous cancer immunity studies and biomarker development.
  • TIP is freely accessible, promoting broader application in cancer research and immunotherapy development.