ArticleJournal of translational medicine2011
Gene expression profiling in acute allograft rejection: challenging the immunologic constant of rejection hypothesis.
Article in Journal of translational medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
54 citing papers in PubMed, 98 citations in OpenAlex.
- Transcriptomic profiles conducive to immune-mediated tumor rejection in human breast cancer skin metastases treated with Imiquimod.Scientific reports · 2019Trial
- Integrated cross-organ transcriptomic analysis uncovers conserved gene signatures predictive of allograft rejection.PloS one · 2026Article
- Urinary mRNA biomarkers for the noninvasive diagnosis of calcineurin inhibitor toxicity in kidney transplant recipients with graft dysfunction: a retrospective study.Clinical transplantation and research · 2025Article
- Review
- Integration of FTIR Spectroscopy and Machine Learning for Kidney Allograft Rejection: A Complementary Diagnostic Tool.Journal of clinical medicine · 2025Article
- Spatial transcriptomics reveals distinct role of monocytes/macrophages with highFrontiers in immunology · 2025Article
- Spatial Transcriptomic Signatures of Early Acute T Cell-mediated Rejection in Kidney Transplants.Transplantation direct · 2024Article
- Shifting the paradigm: engaging multicellular networks for cancer therapy.Journal of translational medicine · 2024Review
- Gene expression profiling in PBMCs for acute rejection in lung transplant recipients reveals myeloid responses.Frontiers in transplantation · 2024Article
- Hepatocyte Transplantation Rebalances Cytokines for Hepatic Regeneration in Rats with Ataxia Telangiectasia Mutated Pathway-Related Acute Liver Failure.The American journal of pathology · 2023Article
- It Runs in the Bromodomain Family: Speckled Proteins (SP) Play a Role in the Antitumor Immune Response in Solid Tumors.International journal of molecular sciences · 2022Article
- Integrative Analysis of the Genomic and Immune Microenvironment Characteristics Associated With Clear Cell Renal Cell Carcinoma Progression: Implications for Prognosis and Immunotherapy.Frontiers in immunology · 2022Article
- T Cells With ActivatedFrontiers in immunology · 2022Article
- Comprehensive Analysis of Cardiac Xeno-Graft Unveils Rejection Mechanisms.International journal of molecular sciences · 2021Article
- Molecular Diversity of Clinically Stable Human Kidney Allografts.JAMA network open · 2021Article
- Computational Prediction of Biomarkers, Pathways, and New Target Drugs in the Pathogenesis of Immune-Based Diseases Regarding Kidney Transplantation Rejection.Frontiers in immunology · 2021Article
- Oncogenic states dictate the prognostic and predictive connotations of intratumoral immune response.Journal for immunotherapy of cancer · 2020Article
- Immunomics of Renal Allograft Acute T Cell-Mediated Rejection Biopsies of Tacrolimus- and Belatacept-Treated Patients.Transplantation direct · 2019Article
- Evidence of Chronic Allograft Injury in Liver Biopsies From Long-term Pediatric Recipients of Liver Transplants.Gastroenterology · 2018Article
- The immunologic constant of rejection classification refines the prognostic value of conventional prognostic signatures in breast cancer.British journal of cancer · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 3 countries.
Funding
Abstract
In humans, the role and relationship between molecular pathways that lead to tissue destruction during acute allograft rejection are not fully understood. Based on studies conducted in humans, we recently hypothesized that different immune-mediated tissue destruction processes (i.e. cancer, infection, autoimmunity) share common convergent final mechanisms. We called this phenomenon the "Immunologic Constant of Rejection (ICR)." The elements of the ICR include molecular pathways that are consistently described through different immune-mediated tissue destruction processes and demonstrate the activation of interferon-stimulated genes (ISGs), the recruitment of cytotoxic immune cells (primarily through CXCR3/CCR5 ligand pathways), and the activation of immune effector function genes (IEF genes; granzymes A/B, perforin, etc.). Here, we challenge the ICR hypothesis by using a meta-analytical approach and systematically reviewing microarray studies evaluating gene expression on tissue biopsies during acute allograft rejection. We found the pillars of the ICR consistently present among the studies reviewed, despite implicit heterogeneity. Additionally, we provide a descriptive mechanistic overview of acute allograft rejection by describing those molecular pathways most frequently encountered and thereby thought to be most significant. The biological role of the following molecular pathways is described: IFN-γ, CXCR3/CCR5 ligand, IEF genes, TNF-α, IL-10, IRF-1/STAT-1, and complement pathways. The role of NK cell, B cell and T-regulatory cell signatures are also addressed.
Indexed as
Identifiers
What 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.