Evidence mapPaperPMID 42514200Full record

ReviewLife (Basel, Switzerland)2026

Diagnostic and Prognostic Roles of Blood-Based Immune Biomarkers in Non-Small Cell Lung Cancer: An Umbrella Review of Systematic Reviews and Meta-Analyses.

Panpinhan Zhao, Rui Ling, Ruitong Li, Yiu-Wing Kam

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 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

4 authors.

Panpinhan ZhaoDivision of Natural and Applied Science, Duke Kunshan University, Suzhou 215316, China.ORCID 0009-0007-6946-5921
Rui LingDivision of Natural and Applied Science, Duke Kunshan University, Suzhou 215316, China.ORCID 0009-0008-3224-0865
Ruitong LiDivision of Natural and Applied Science, Duke Kunshan University, Suzhou 215316, China.
Yiu-Wing KamDivision of Natural and Applied Science, Duke Kunshan University, Suzhou 215316, China.ORCID 0000-0002-8360-9537

Funding

Duke Kunshan University 26KINFD011
6 · The paper itself

Abstract

Blood-based biomarkers have emerged as promising, minimally invasive tools for the diagnosis, prognostic stratification, and treatment monitoring of non-small cell lung cancer (NSCLC), including markers of tumor burden, tumor dissemination, immune signaling, and post-transcriptional regulation. However, evidence across biomarker classes remains fragmented. This study aimed to synthesize published evidence on major blood-based biomarkers relevant to diagnosis, prognosis, treatment stratification, and monitoring in NSCLC. PubMed was searched for systematic reviews and meta-analyses of blood-based biomarkers in NSCLC. Of 356 screened records, 82 underwent full-text review, and 57 systematic reviews/meta-analyses were included. Biomarkers were grouped into four categories: circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), cytokines/soluble immune proteins, and non-coding RNAs (ncRNAs). Reported pooled effect estimates were extracted by biomarker class and evidence domain, and the methodological quality of included reviews was assessed using AMSTAR 2. Evidence was unevenly distributed across biomarker classes and evidence domains. Circulating ncRNAs were mainly represented in diagnostic and prognostic evidence; selected diagnostic ncRNAs, including miR-145, miR-25, and circRNAs, showed reported AUCs ranging from 0.83 to 0.85. ctDNA was represented across diagnostic, prognostic, treatment-stratification, and dynamic monitoring evidence, with ctDNA positivity associated with poorer survival or recurrence outcomes and ctDNA clearance or decline associated with improved outcomes. CTC evidence was primarily prognostic, with CTC positivity associated with worse overall survival and disease-free survival. Soluble immune biomarker evidence was also primarily prognostic, with elevated soluble PD-L1 and IL-6 associated with adverse survival outcomes and limited exploratory monitoring evidence for exosomal PD-L1. Overall, the evidence suggested distinct but complementary roles across biomarker classes, although direct head-to-head comparisons were lacking. Blood-based biomarkers show potential to support diagnosis, prognosis, and longitudinal monitoring in NSCLC, but their reported utility differs by biomarker class and clinical context. In the available review-level evidence, ncRNAs were mainly represented in diagnostic and prognostic evidence, while ctDNA was represented across diagnostic, prognostic, treatment-stratification, and dynamic monitoring evidence. CTCs were mainly represented in prognostic evidence, and soluble immune biomarkers were primarily represented in prognostic evidence, with limited exploratory evidence for dynamic monitoring. Further assay standardization, prospective validation, and direct comparative studies are needed before these biomarkers can be routinely integrated into clinical practice.

Indexed as

blood-based biomarkerscirculating tumor cellscirculating tumor DNAliquid biopsynon-coding RNAsnon-small cell lung cancersoluble immune biomarkersumbrella review

Identifiers

PMID42514200
PMCPMC13412772

What Socratic 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 Socratic graph.