ReviewNature reviews. Cancer2023
Dynamics and specificities of T cells in cancer immunotherapy.
Review in Nature reviews. Cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 337 papers, 4 of them syntheses 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
337 citing papers in PubMed, 4 syntheses or guidelines pooled it, 465 citations in OpenAlex.
- CD4Sensors (Basel, Switzerland) · 2026Pooled it
- T cell immunity in glioma and potential implications for immunotherapy: A systematic review.Neuro-oncology · 2026Pooled it
- Mapping the frontiers: a bibliometric perspective on t cell-based immunotherapy in pancreatic cancer since the twenty-first century.Journal of cancer research and clinical oncology · 2025Pooled it
- Single-cell meta-analysis of T cells reveals clonal dynamics of response to checkpoint immunotherapy.Cell genomics · 2025Pooled it
- Single-cell dissection of persistent tumor antigens in non-responders reveals opportunities for TAA-targeted vaccination after neoadjuvant therapy in esophageal squamous cell carcinoma.Journal for immunotherapy of cancer · 2026Trial
- Temporal and spatial composition of the tumor microenvironment predicts response to immune checkpoint inhibition in metastatic TNBC.Nature cancer · 2026Trial
- Spatiotemporal dynamics of T cells in peripheral blood and tumor underlying differential responses to neoadjuvant PD-1 blockade in hepatocellular carcinoma.Journal for immunotherapy of cancer · 2025Trial
- The impact of tislelizumab immunotherapy on multiple primary lung cancer presenting as ground-glass nodules: preliminary results analysis from a single-arm, phase II trial.Cancer immunology, immunotherapy : CII · 2025Trial
- Immunotherapy and senolytics in head and neck squamous cell carcinoma: phase 2 trial results.Nature medicine · 2025Trial
- Tislelizumab (anti-PD-1) plus chemotherapy as neoadjuvant therapy for patients with stage IB3/IIA2 cervical cancer (NATIC): a prospective, single-arm, phase II study.Signal transduction and targeted therapy · 2025Trial
- The impact of gut microbiota and metabolite-driven immune cell spatiotemporal dynamics on tumors.Gut microbes · 2026Review
- Single-cell sequencing profiling of intratumoral heterogeneity and immunosuppressive microenvironment in primary thyroid cancer and lymph node metastases.Oncoimmunology · 2026Article
- A Prognostic Model Based on Adipokine-Related Genes for Hepatocellular Carcinoma: Assessment of Patient Outcomes and Tumor Microenvironment Characterization.Digestive diseases and sciences · 2026Article
- Review
- Review
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- Structural characterization of an RG-II-associated complex pectic polysaccharide from Typha angustifolia pollen with dendritic cell-modulating activity.Chinese medicine · 2026Article
- Surface display of co-stimulatory ligand B7H2 on engineered bacteria enhances tumor immunotherapy.Cell reports. Medicine · 2026Article
- scXpand: Pan-cancer detection of T cell clonal expansion from single-cell RNA sequencing without paired single-cell TCR sequencing.Cell genomics · 2026Article
- Spatiotemporal CD8Cancer science · 2026Review
277 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Recent advances in cancer immunotherapy - ranging from immune-checkpoint blockade therapy to adoptive cellular therapy and vaccines - have revolutionized cancer treatment paradigms, yet the variability in clinical responses to these agents has motivated intense interest in understanding how the T cell landscape evolves with respect to response to immune intervention. Over the past decade, the advent of multidimensional single-cell technologies has provided the unprecedented ability to dissect the constellation of cell states of lymphocytes within a tumour microenvironment. In particular, the rapidly expanding capacity to definitively link intratumoural phenotypes with the antigen specificity of T cells provided by T cell receptors (TCRs) has now made it possible to focus on investigating the properties of T cells with tumour-specific reactivity. Moreover, the assessment of TCR clonality has enabled a molecular approach to track the trajectories, clonal dynamics and phenotypic changes of antitumour T cells over the course of immunotherapeutic intervention. Here, we review the current knowledge on the cellular states and antigen specificities of antitumour T cells and examine how fine characterization of T cell dynamics in patients has provided meaningful insights into the mechanisms underlying effective cancer immunotherapy. We highlight those T cell subsets associated with productive T cell responses and discuss how diverse immunotherapies might leverage the pre-existing tumour-reactive T cell pool or instruct de novo generation of antitumour specificities. Future studies aimed at elucidating the factors associated with the elicitation of productive antitumour T cell immunity are anticipated to instruct the design of more efficacious treatment strategies.
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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.