ArticleCancer cell international2023
Circulating memory PD-1
Article in Cancer cell international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 12 citations in OpenAlex.
- Remodeling memory T cells with chemotherapy and immune checkpoint inhibitors as host pre-conditioning to empower in vivo CAR-T therapy.Synthetic and systems biotechnology · 2026Review
- The Prognostic Value of the CD8Hematology reports · 2026Article
- High PD-1 expression in pre-treatment peripheral lymphocytes associated with poor immune checkpoint inhibitor response in patients with recurrent or metastatic head and neck squamous cell carcinoma.Cancer immunology, immunotherapy : CII · 2026Article
- Pan-cancer NK cell-related immunotherapy signatures for predicting PD-1 treatment response.Medicine · 2025Article
- Comprehensive analysis of the systemic immune landscape across breast cancer subtypes and disease stages.Immuno-oncology technology · 2025Article
- Gastric Cancer and Microbiota: Exploring the Microbiome's Role in Carcinogenesis and Treatment Strategies.Life (Basel, Switzerland) · 2025Review
- CD8+ T Cell Subsets as Biomarkers for Predicting Checkpoint Therapy Outcomes in Cancer Immunotherapy.Biomedicines · 2025Review
- Circulating PD-1Frontiers in immunology · 2025Article
- Association of PD-1 + Treg/PD-1 + CD8 ratio and tertiary lymphoid structures with prognosis and response in advanced gastric cancer patients receiving preoperative treatment.Journal of translational medicine · 2024Article
- Memory inflation: Beyond the acute phase of viral infection.Cell proliferation · 2024Review
- Predictive Factors of Immunotherapy in Gastric Cancer: A 2024 Update.Diagnostics (Basel, Switzerland) · 2024Review
- All-Trans-Retinoic Acid-Adjuvanted mRNA Vaccine Induces Mucosal Anti-Tumor Immune Responses for Treating Colorectal Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLimited benefit population of immunotherapy makes it urgent to select effective biomarkers for screening appropriate treatment population. Herein, we have investigated the predictive values of circulating CD8
methodsA retrospective cohort analysis of 187 advanced gastric cancer patients receiving sintilimab combined with oxaliplatin and capecitabine therapy in The Affiliated Xinghua People's Hospital, Medical School of Yangzhou University between December 2019 and February 2023 was conducted. The corresponding clinical outcomes of the variables were analyzed by receiver operating characteristic (ROC) curve, chi-square test, Kaplan-Meier methods and Cox proportional hazards regression models.
resultsThe optimal cutoff values for percentages of CD8
conclusionThe circulating memory PD-1
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.