Evidence map›Paper›PMID 42824091›Full record

SynthesisFrontiers in oncology2026

Microsatellite instability combined with PD-L1 expression in prognosis of gastric cancer: an integrated analysis based on individual patient data.

Yajing Feng, Mengmeng Yin, Junhui Chai, Jicun Zhu, Yuehua Zhang, Kaijuan Wang, Fujiao Duan

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 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

7 authors.

Yajing FengDepartment of Nosocomial Infection Management, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Mengmeng YinDepartment of Medical Research Office, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.
Junhui ChaiDepartment of Medical Research Office, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.
Jicun ZhuDepartment of Nosocomial Infection Management, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yuehua ZhangCollege of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Kaijuan WangCollege of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Fujiao DuanDepartment of Medical Research Office, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to systematically assess the predictive value of microsatellite instability (MSI) combined with programmed death-ligand 1 (PD-L1) expression for prognosis and immunotherapy response in patients with gastric cancer (GC). Methods: An individual patient data (IPD) meta-analysis was performed in accordance with the PICOS framework and PRISMA 2020 guidelines. A comprehensive literature search was performed across English and Chinese databases to identify cohort studies or randomized controlled trials (RCTs) that simultaneously evaluated MSI status and PD-L1 expression, and reported overall survival (OS), disease-free survival (DFS) with 95% confidence intervals (CIs) were used as pooled effect measures. Fixed-effect or random-effects models were applied based on heterogeneity assessed by the Results: Nine studies involving 6,667 GC patients were included. For OS, MSI-H alone (HR = 0.500, 95%CI: 0.357-0.700, Conclusion: MSI-H status is a robust favorable prognostic factor for GC, while PD-L1 positivity indicates adverse OS prognosis. The combination of MSI and PD-L1 expression enables refined prognostic stratification of GC patients.

Indexed as

gastric cancerimmunotherapymeta-analysismicrosatellite instabilityPD-L1prognosis

Identifiers

PMID42824091
PMCPMC13627007

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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.