Evidence map›Paper›PMID 42212138›Full record

ArticleFrontiers in immunology2026

Dynamic changes in peripheral blood lymphocyte subsets predict the efficacy and prognosis of immune checkpoint inhibitors in metastatic osteosarcoma.

Longqing Li, Jinlei Liu, Yuan Zhao, Songtao Pang, Bin Zhang, Jia Wen, Yongkui Liu, Yi Zhang, Yan Zhang, Jiazhen Li and 2 more

Abstract read
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Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

12 authors.

Longqing Li *Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jinlei Liu *Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yuan ZhaoDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Songtao PangDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Bin ZhangDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jia WenDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yongkui LiuDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yi ZhangDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yan ZhangDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jiazhen LiDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Nan ZhouDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xinchang LuDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteosarcoma (OSA) remains the most common primary malignant bone tumor in children and adolescents, with a poor prognosis for metastatic disease. While immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment, their efficacy in metastatic OSA is limited and highly variable, lacking clear predictive biomarkers. Peripheral blood lymphocyte subsets, reflecting systemic immune status, show promise as non-invasive predictors of ICIs efficacy and patient prognosis, yet their dynamic changes and predictive value in metastatic OSA are largely unexplored. Methods: This single-center, retrospective study included 14 metastatic OSA patients receiving ICIs. Peripheral blood lymphocyte subsets (CD3 Results: Univariate Cox regression identified pre-ICIs CD8 Conclusion: This study provides the first systematic analysis of dynamic changes in peripheral blood lymphocyte subsets in metastatic OSA patients undergoing ICIs. Our findings suggest that elevated proportions and dynamic increases of peripheral blood CD3

Indexed as

Bone NeoplasmsImmune Checkpoint InhibitorsLymphocyte SubsetsOsteosarcomaAdolescentAdultChildFemaleHumansMaleNeoplasm MetastasisPrognosisRetrospective StudiesTreatment OutcomeYoung AdultImmune Checkpoint Inhibitorsbiomarkersimmune checkpoint inhibitorsmetastaticosteosarcomaperipheral blood lymphocyte subsets

Identifiers

PMID42212138
PMCPMC13212053

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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.