Evidence map›Paper›PMID 41535994›Full record

ReviewBiomarker research2026

Peripheral blood biomarkers for predicting response to PD-1/PD-L1 inhibitors.

Shuting Chen, Yingjie Hu, Hanxu Cheng, Shuaiqingying Guo, Yingyan Han, Kezhen Li

Abstract readReview
In one paragraph

Review in Biomarker research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

6 authors.

Shuting Chen *Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yingjie Hu *Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hanxu ChengDepartment of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shuaiqingying GuoDepartment of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yingyan HanDepartment of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. hanyingyan1222@163.com.
Kezhen LiDepartment of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. tjkeke@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Though programmed cell death protein 1/programmed cell death ligand 1 (PD-1/PD-L1) inhibitors have revolutionized cancer treatment, predicting their therapeutic efficacy largely depends on biomarkers obtained through invasive procedures, which present challenges, particularly for continuous sampling. Compared to tumor-based biomarkers, peripheral blood biomarkers offer distinct advantages, including non-invasive accessibility and the potential for dynamic monitoring. Although numerous studies suggest that peripheral blood biomarkers hold significant value, the lack of consensus on indicators and standards underscores the necessity of integrating evidence to guide future research. This review synthesizes cutting-edge peripheral blood testing achievements for predicting PD-1/PD-L1 immunotherapy response, encompassing tumor-derived biomarkers (circulating tumor cell, circulating tumor DNA, blood tumor mutation burden, etc.), multidimensional immune profiling (lymphocyte count, neutrophil-to-lymphocyte ratio, T/B/NK/myeloid subsets, cytokines), and multi-parameter models. We collectively validate the reliability of peripheral blood biomarkers and identify high-potential candidates that could be further developed through computationally-driven frameworks and multi-center cohorts in the future.

Indexed as

CytokinesImmune cellMulti-parameter modelPD-1/PD-L1 inhibitorsPeripheral bloodPredictive biomarkerTumor-derived biomarker

Identifiers

PMID41535994
PMCPMC12809946

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.