ArticleJournal of translational medicine2023
Potential clinical implications of CD4
Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 12 citations in OpenAlex.
- BRAF inhibitor resistance in melanoma: from resistance mechanisms to therapeutic innovations.Molecular biomedicine · 2026Review
- Peripheral blood biomarkers for predicting response to PD-1/PD-L1 inhibitors.Biomarker research · 2026Review
- The combination of body mass index and serum creatinine levels predicts survival in patients with Hodgkin lymphoma treated with nivolumab in the CheckMate 205 study.Oncoimmunology · 2025Article
- Adoptively transferred Th17 cells cooperate with host B cells to achieve durable tumor immunity.Cancer cell · 2025Article
- Unraveling Relatlimab-Specific Biology Using Biomarker Analyses in Patients with Advanced Melanoma in RELATIVITY-047.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Article
- Reciprocal Modulation of Tumour and Immune Cell Motility: Uncovering Dynamic Interplays and Therapeutic Approaches.Cancers · 2025Review
- Tumor Microenvironment Drives the Cross-Talk Between Co-Stimulatory and Inhibitory Molecules in Tumor-Infiltrating Lymphocytes: Implications for Optimizing Immunotherapy Outcomes.International journal of molecular sciences · 2024Review
- Soluble CD26: From Suggested Biomarker for Cancer Diagnosis to Plausible Marker for Dynamic Monitoring of Immunotherapy.Cancers · 2024Review
- ADA/CD26 axis increases intra-tumor PD-1Oncoimmunology · 2024Article
- Perspectives in Immunotherapy: meeting report from Immunotherapy Bridge (Naples, November 30th-December 1st, 2022).Journal of translational medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNivolumab is an anti-PD1 antibody that has dramatically improved metastatic melanoma patients' outcomes. Nevertheless, many patients are resistant to PD-1 inhibition, occasionally experiencing severe off-target immune toxicity. In addition, no robust and reproducible biomarkers have yet been validated to identify the correct selection of patients who will benefit from anti-PD-1 treatment avoiding unwanted side effects. However, the strength of CD26 expression on CD4
methodsThe frequency distribution of peripheral blood CD26-expressing cells was investigated employing multi-parametric flow cytometry in 69 metastatic melanoma patients along with clinical characteristics and blood count parameters at baseline (W0) and compared to 20 age- and sex-matched healthy controls. Percentages of baseline CD4
resultsCirculating CD4
conclusionsOur study firstly demonstrates that peripheral blood circulating CD4
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.