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        <identifier>oai:figshare.com:article/33871138</identifier>
        <datestamp>2026-09-17T04:46:19Z</datestamp>
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        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Table 1_Microsatellite instability combined with PD-L1 expression in prognosis of gastric cancer: an integrated analysis based on individual patient data.docx</dc:title>
          <dc:creator>Yajing Feng (7532729)</dc:creator>
          <dc:creator>Mengmeng Yin (4381234)</dc:creator>
          <dc:creator>Junhui Chai (11780078)</dc:creator>
          <dc:creator>Jicun Zhu (7335014)</dc:creator>
          <dc:creator>Yuehua Zhang (541836)</dc:creator>
          <dc:creator>Kaijuan Wang (6104744)</dc:creator>
          <dc:creator>Fujiao Duan (561366)</dc:creator>
          <dc:subject>Oncology and Carcinogenesis not elsewhere classified</dc:subject>
          <dc:subject>gastric cancer</dc:subject>
          <dc:subject>immunotherapy</dc:subject>
          <dc:subject>meta-analysis</dc:subject>
          <dc:subject>microsatellite instability</dc:subject>
          <dc:subject>PD-L1</dc:subject>
          <dc:subject>prognosis</dc:subject>
          <dc:description>Objective&lt;p&gt;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).&lt;/p&gt;Methods&lt;p&gt;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 I² statistic. Subgroup analyses were stratified by ethnicity, pathological stage, Lauren classification, chemotherapy timing, MSI detection platform, and PD-L1 antibody clone. The interactive effect of MSI-H and PD-L1 expression was evaluated using radar plots.&lt;/p&gt;Results&lt;p&gt;Nine studies involving 6,667 GC patients were included. For OS, MSI-H alone (HR = 0.500, 95%CI: 0.357-0.700, P &lt; 0.001), and MSI-H/MSI-L combined (HR = 0.641, 95%CI: 0.437-0.939, P = 0.025) were associated with better outcomes than MSS; PD-L1 positivity predicted poorer OS (HR = 1.517, 95%CI: 1.077-2.137, P = 0.017); MSI-H+PD-L1 negative patients had the most favorable OS (HR = 0.380, 95%CI: 0.255-0.566, P &lt; 0.001), while MSI-H+PD-L1 positive patients had poorer OS than MSS+PD-L1 negative patients (HR = 2.076, 95%CI: 1.238-3.479, P = 0.006). For DFS, MSI-H alone (HR = 0.506, 95%CI: 0.360-0.710, P &lt; 0.001) and MSI-H/MSI-L combined (HR = 0.530, 95%CI: 0.402-0.698, P &lt; 0.001) outperformed MSS, but PD-L1 expression showed no significant DFS association (HR = 1.189, 95%CI: 0.472-2.998, P = 0.709). Subgroup analyses identified TNM stage, Lauren classification, chemotherapy timing, and MSI detection method as significant effect modifiers (all interaction P &lt; 0.05). Pooled immunotherapy data showed that MSI-H patients had higher ORR than MSS (OR = 3.580, P &lt; 0.001), and MSI-H+PD-L1 positive patients achieved the highest response rates (OR = 4.100 vs. MSI-H+PD-L1 negative, P &lt; 0.001). Sensitivity analysis confirmed result stability, and publication bias was minimal.&lt;/p&gt;Conclusion&lt;p&gt;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.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-17T04:46:19Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.3389/fonc.2026.1900024.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Table_1_Microsatellite_instability_combined_with_PD-L1_expression_in_prognosis_of_gastric_cancer_an_integrated_analysis_based_on_individual_patient_data_docx/33871138</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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