Related Experiment Video
Updated: Nov 25, 2025

High-Throughput Dissociation and Orthotopic Implantation of Breast Cancer Patient-Derived Xenografts
Published on: December 20, 2024
Molecular and Clinical Characterization of PD-1 in Breast Cancer Using Large-Scale Transcriptome Data
Qiang Liu1, Ran Cheng1, Xiangyi Kong1
1Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Abstract:
Despite the impressive impact of PD-1 (programmed cell death protein 1)-targeted cancer immunotherapy, a great part of patients with cancer fail to respond. PD-1 impact on immune cells in addition to T cells, and the synergistic role of PD-1 with other immune modulators remain largely unknown. To fill this gap, we systematically investigated PD-1-related transcriptome data and relevant clinical information derived from TCGA (The Cancer Genome Atlas) and METABRIC (Molecular Taxonomy of Breast Cancer International Consortium), which involved a total of 2,994 breast cancer patients. Our results revealed the relationship among PD-1 and major molecular and clinical characteristics in breast cancer. More importantly, we depicted the association landscape between PD-1 and other immune cell populations. Gene ontology analyses and gene set variation analysis (GSVA) of genes correlated with PD-1 revealed that PD-1 was mainly involved in immune responses and inflammatory activities. We also elucidated the association of PD-1 with other immune modulators in pan-cancer level, especially the potential synergistic relationship between PD-1 and other immune checkpoints members in breast cancer. In short, the expression level of PD-1 was bound up with breast cancer malignancy, which could be used as a potential biomarker; PD-1 might manipulate the anti-tumor immune response by impacting not just T cells, and this might vary among different tumor types. Furthermore, PD-1 might synergize with other immune checkpoint members to modulate the immune microenvironment in breast cancer.
Insights
Programmed cell death protein 1 (PD-1) impacts breast cancer malignancy and immune responses beyond T cells. PD-1 may synergize with other immune checkpoints, offering potential as a biomarker and therapeutic target.
Area of Science:
- Immunology
- Oncology
- Genomics
Background:
- Despite advancements in cancer immunotherapy targeting programmed cell death protein 1 (PD-1), many patients do not respond.
- The broader impact of PD-1 on immune cells and its synergy with other immune modulators are not fully understood.
Purpose of the Study:
- To systematically investigate the role of PD-1 in breast cancer using large-scale patient data.
- To explore the association of PD-1 with molecular and clinical characteristics, immune cell populations, and other immune modulators.
Main Methods:
- Analysis of PD-1-related transcriptome and clinical data from TCGA and METABRIC datasets (2,994 breast cancer patients).
- Gene Ontology (GO) and Gene Set Variation Analysis (GSVA) to identify biological functions and pathways associated with PD-1.
- Pan-cancer analysis to elucidate PD-1 interactions with other immune modulators.
Main Results:
- PD-1 expression is linked to breast cancer malignancy and may serve as a potential biomarker.
- PD-1 influences immune responses and inflammatory activities, impacting immune cell populations beyond T cells.
- PD-1 exhibits potential synergistic relationships with other immune checkpoint members in modulating the tumor immune microenvironment.
Conclusions:
- PD-1 plays a significant role in breast cancer progression and immune modulation.
- Understanding PD-1's complex interactions can inform the development of more effective cancer immunotherapies.
- PD-1's association with immune checkpoints suggests combinatorial therapeutic strategies may enhance anti-tumor immunity.
More Related Videos
07:41Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
10:27Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020