Evidence map›Paper›PMID 42706837›Full record

ReviewCancer science2026

Spatiotemporal CD8

Satoshi Ueha, Hiroyasu Aoki, Munetomo Takahashi, Shigeyuki Shichino, Kouji Matsushima

Abstract readReview
In one paragraph

Review in Cancer science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Satoshi UehaDivision of Molecular Regulation of Inflammatory and Immune Diseases, Research Institute for Biomedical Sciences, Tokyo University of Science, Chiba, Japan.ORCID https://orcid.org/0000-0002-3871-9921
Hiroyasu AokiDivision of Molecular Regulation of Inflammatory and Immune Diseases, Research Institute for Biomedical Sciences, Tokyo University of Science, Chiba, Japan.
Munetomo TakahashiDepartment of Molecular Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Shigeyuki ShichinoDivision of Molecular Regulation of Inflammatory and Immune Diseases, Research Institute for Biomedical Sciences, Tokyo University of Science, Chiba, Japan.
Kouji MatsushimaDivision of Molecular Regulation of Inflammatory and Immune Diseases, Research Institute for Biomedical Sciences, Tokyo University of Science, Chiba, Japan.

Funding

Japan Agency for Medical Research and Development JP22ama221306Japan Agency for Medical Research and Development JP22fk0310509Japan Agency for Medical Research and Development JP25fk0310531Japan Agency for Medical Research and Development JP26ck0106121Japan Society for the Promotion of Science 20H03474Japan Society for the Promotion of Science 23K27397
6 · The paper itself

Abstract

The clinical success of immune checkpoint inhibitors (ICI) has shifted the paradigm of cancer treatment, yet the fundamental mechanisms governing the long-term sustainability of antitumor T-cell responses remain elusive. Emerging evidence suggests that the efficacy of ICI depends not only on the reinvigoration of pre-existing tumor-infiltrating lymphocytes but also on the continuous mobilization and replacement of T-cell clones from systemic reservoirs. In this review, we propose a "spatiotemporal ecosystem model" of the antitumor T-cell response. We first delineate the spatial dynamics of T-cell clones, where tumor-reactive progenitors primed in the tumor-draining lymph nodes (dLN) circulate through the peripheral blood to replenish the tumor microenvironment (TME). We highlight that TCR avidity emerges as a key determinant of clonal fate; while high-avidity clones provide potent early cytotoxicity, their susceptibility to accelerated terminal exhaustion eventually creates an available niche that allows for the subsequent expansion of intermediate-avidity successor clones. Furthermore, we discuss how single-cell multi-omics integration (transcriptome, TCR repertoire, and epigenome) reveals that clonal fate is functionally encoded in the molecular and metabolic poise of T cells prior to their expansion. Finally, we discuss the potential of monitoring these clonal dynamics through liquid biopsy as a non-invasive window into the resilience of the immune ecosystem, distinguishing responders with sustainable, polyclonal mobilization from non-responders with frustrated, oligoclonal responses. By integrating clonal evolution, metabolic fitness, and inter-organ crosstalk, this ecosystem perspective offers a comprehensive framework for predicting therapeutic outcomes and developing next-generation precision immunotherapies.

Indexed as

clonal replacementclonal spreadingimmune checkpoint inhibitorsliquid biopsymetabolic fitnesssingle‐cell multi‐omicsT‐cell clonal dynamicsTCR aviditytumor microenvironment

Identifiers

PMID42706837
PMCPMC13550973

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.