Evidence map›Paper›PMID 41530915›Full record

ReviewClinical and experimental immunology2026

Circulating T-lymphocyte subsets as biomarkers for immune checkpoint inhibitors in solid tumors.

Yuehong Kong, Rongzheng Chen, Junjun Zhang, Liyuan Zhang

Abstract readReview
In one paragraph

Review in Clinical and experimental immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
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

4 authors.

Yuehong KongCenter for Cancer Diagnosis and Treatment, Second Affiliated Hospital of Soochow University, Suzhou, China.
Rongzheng ChenCenter for Cancer Diagnosis and Treatment, Second Affiliated Hospital of Soochow University, Suzhou, China.
Junjun ZhangCenter for Cancer Diagnosis and Treatment, Second Affiliated Hospital of Soochow University, Suzhou, China.
Liyuan ZhangCenter for Cancer Diagnosis and Treatment, Second Affiliated Hospital of Soochow University, Suzhou, China.ORCID 0000-0002-7469-1743

Funding

CNNC Medical Nuclear Medicine Technology Innovation Program ZHYLZD202505Major Diseases in Suzhou DZXYJ202304National Natural Science Foundation of China 82102824Science and Technology Innovation Project SYW2024095Second Affiliated Hospital of Soochow University 23zl001State Key Laboratory of Radiation Medicine and Protection of Soochow University GZN1202302Suzhou Applied Basic ResearchThe Scientific Research Program for Young Talents of China National Nuclear Corporation
6 · The paper itself

Abstract

Immune Checkpoint Inhibitors (ICIs) have become a mainstay in the treatment of various solid tumors. At present, commonly used predictive biomarkers include tumor mutation burden, programed death-ligand 1 expression levels, and microsatellite instability. However, these biomarkers face inherent limitations, such as the challenges associated with tumor tissue sampling and the inability to provide dynamic monitoring. In recent years, significant efforts have been undertaken for the precise characterization of circulating T-lymphocyte subsets, with their classification offering the potential to reflect the functional state of T cells and predict responses to ICI therapy. Its advantages in terms of sampling convenience and minimally invasive nature further highlight its feasibility as a dynamic monitoring tool. This review expounds on current research progress on the use of "circulating" T-lymphocyte subsets as predictors of ICI efficacy and discusses their reliability and potential as predictive tools.

Indexed as

Biomarkers, TumorImmune Checkpoint InhibitorsNeoplasmsT-Lymphocyte SubsetsAnimalsHumansBiomarkers, TumorImmune Checkpoint Inhibitorscirculating immune biomarkersimmune checkpoint inhibitorsT-cell functional phenotypesT-lymphocyte subsets

Identifiers

PMID41530915
PMCPMC12857432

What OpenQuestion holds

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Registered trials

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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.