ArticlePLoS computational biology2017
Interactions between the tumor and the blood systemic response of breast cancer patients.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 14 papers.
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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.
Quantifying Systemic Immunosuppression to Personalize Cancer Therapy
Quantifying Systemic Immunosuppression to Personalize Cancer Therapy
Who cites it
14 citing papers in PubMed.
- Large-scale analysis of temporal gene expression variation in peripheral blood.Nature communications · 2026Article
- Gene Expression Profiling of Peripheral Blood and Endometrial Cancer Risk Factors: Systems Epidemiology Approach in the NOWAC Postgenome Cohort Study.Lifestyle genomics · 2026Article
- Article
- A Bayesian functional approach to test models of life course epidemiology over continuous time.International journal of epidemiology · 2024Article
- Thymoquinone, a Novel Multi-Strike Inhibitor of Pro-Tumorigenic Breast Cancer (BC) Markers: CALR, NLRP3 Pathway and sPD-L1 in PBMCs of HR+ and TNBC Patients.International journal of molecular sciences · 2023Article
- Blood-Based mRNA Tests as Emerging Diagnostic Tools for Personalised Medicine in Breast Cancer.Cancers · 2023Review
- Leveraging the Dynamic Immune Environment Triad in Patients with Breast Cancer: Tumour, Lymph Node, and Peripheral Blood.Cancers · 2022Review
- Review
- Systemic Immune Dysregulation in Early Breast Cancer Is Associated With Decreased Plasma Levels of Both Soluble Co-Inhibitory and Co-Stimulatory Immune Checkpoint Molecules.Frontiers in immunology · 2022Article
- Peripheral blood transcriptome heterogeneity and prognostic potential in lung cancer revealed by RNA-Seq.Journal of cellular and molecular medicine · 2021Article
- Transcriptomic signals in blood prior to lung cancer focusing on time to diagnosis and metastasis.Scientific reports · 2021Article
- Global blood gene expression profiles following a breast cancer diagnosis-Clinical follow-up in the NOWAC post-genome cohort.PloS one · 2021Article
- Two Distinct Subtypes Revealed in Blood Transcriptome of Breast Cancer Patients With an Unsupervised Analysis.Frontiers in oncology · 2019Article
- Each pregnancy linearly changes immune gene expression in the blood of healthy women compared with breast cancer patients.Clinical epidemiology · 2018Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although systemic immunity is critical to the process of tumor rejection, cancer research has largely focused on immune cells in the tumor microenvironment. To understand molecular changes in the patient systemic response (SR) to the presence of BC, we profiled RNA in blood and matched tumor from 173 patients. We designed a system (MIxT, Matched Interactions Across Tissues) to systematically explore and link molecular processes expressed in each tissue. MIxT confirmed that processes active in the patient SR are especially relevant to BC immunogenicity. The nature of interactions across tissues (i.e. which biological processes are associated and their patterns of expression) varies highly with tumor subtype. For example, aspects of the immune SR are underexpressed proportionally to the level of expression of defined molecular processes specific to basal tumors. The catalog of subtype-specific interactions across tissues from BC patients provides promising new ways to tackle or monitor the disease by exploiting the patient SR.
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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.