ArticleCancer immunology research2020
Self-Maintaining CD103
Article in Cancer immunology research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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
39 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Association of CD103+ T cell infiltration with overall survival in solid tumors of the digestive tract and its potential in anti-PD-1 treatment: A review and meta-analysis.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2022Pooled it
- Unveiling structural determinants of peptide recognition by public and private SARS-CoV-2-specific T-cell receptors.Nature communications · 2026Article
- Transcriptomic analysis of tissue-resident memory T cells of the fallopian tube reveals a precursor immune surveillance network for ovarian cancer prevention.Nature communications · 2026Article
- CD8MedComm · 2026Review
- Identification of proliferating CD103Virchows Archiv : an international journal of pathology · 2026Article
- Spatiotemporal immune dynamics in lung cancer progression and treatment.Breathe (Sheffield, England) · 2026Review
- Expression of CD103 facilitates localization and activation of CD4Mucosal immunology · 2026Article
- Phenotypic Characterization and Prognostic Impact of CD103+ Tissue-Resident Memory T Cells in Diffuse Large B-cell Lymphoma.Cancer immunology research · 2026Article
- Novel common target genes for breast cancer and colorectal cancer: a Mendelian randomization and spatial transcriptomics study.Discover oncology · 2025Article
- Tissue-Resident Memory T Cells: Pioneering New Avenues in Cancer Immunotherapy.Cancer medicine · 2025Review
- Long-persisting SARS-CoV-2 spike-specific CD4Nature communications · 2025Article
- Inhibition of Glutamate-to-Glutathione Flux Promotes Tumor Antigen Presentation in Colorectal Cancer Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Ex vivo expansion and hydrogel-mediated in vivo delivery of tissue-resident memory T cells for immunotherapy.Science advances · 2024Article
- Optimizing the spatial immune landscape of CD103Cellular oncology (Dordrecht, Netherlands) · 2024Article
- Immune Checkpoints and Cellular Landscape of the Tumor Microenvironment in Non-Melanoma Skin Cancer (NMSC).Cells · 2024Review
- Resident memory T cells and cancer.Immunity · 2024Review
- Transient synaptic CD61 pairing with CD103 increases the cytotoxicity of antigen-specific T cells.Nature immunology · 2024Article
- Unconventional human CD61 pairing with CD103 promotes TCR signaling and antigen-specific T cell cytotoxicity.Nature immunology · 2024Article
- EMT-induced immune evasion: connecting the dots from mechanisms to therapy.Clinical and experimental medicine · 2023Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 5 institutions in 2 countries.
Funding
Abstract
Enrichment of CD103
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.