Evidence map›Paper›PMID 42412320›Full record

ArticleMolecular biomedicine2026

Plasma proteomics-based liquid biopsy for predicting efficacy of PD-1-based immunochemotherapy in advanced gastric cancer: a prospective cohort study.

Enqing Meng, Xu Cheng, Xinyi Wu, Linjun Wang, Xiaochun Ping, Mengxiao Wang, Minghui Ge, Xing Zhang, Dongsheng Chen, Chan Zhu and 2 more

Abstract read
In one paragraph

Article in Molecular biomedicine, 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. Review
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.

Enqing MengDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xu ChengDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xinyi WuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Linjun WangGastric Cancer Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiaochun PingGastric Cancer Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Mengxiao WangState Key Laboratory of Neurology and Oncology Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing Simcere Medical Laboratory Science Co., Ltd., NanjingNanjing, Jiangsu, China.
Minghui GeState Key Laboratory of Neurology and Oncology Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing Simcere Medical Laboratory Science Co., Ltd., NanjingNanjing, Jiangsu, China.
Xing ZhangState Key Laboratory of Neurology and Oncology Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing Simcere Medical Laboratory Science Co., Ltd., NanjingNanjing, Jiangsu, China.
Dongsheng ChenState Key Laboratory of Neurology and Oncology Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing Simcere Medical Laboratory Science Co., Ltd., NanjingNanjing, Jiangsu, China.
Chan ZhuState Key Laboratory of Neurology and Oncology Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing Simcere Medical Laboratory Science Co., Ltd., NanjingNanjing, Jiangsu, China.
Ping LiDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. tzliping@163.com.
Hao WuDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China. whdactor@njmu.edu.cn.ORCID http://orcid.org/0009-0007-0611-7495

Funding

Public Welfare Foundation BCF-XD-JC-20221205-17
6 · The paper itself

Abstract

The combination of immune checkpoint inhibitors (ICIs) and chemotherapy has become the standard first-line treatment for advanced gastric cancer and gastroesophageal junction cancer (GC/GEJC), yet reliable biomarkers predicting efficacy remain limited. We performed longitudinal plasma proteomic profiling in 31 patients receiving immunochemotherapy in this prospective observational cohort study. Serial plasma samples collected at baseline and every two treatment cycles were analyzed to identify dynamic protein changes correlated with therapeutic response and survival. The results showed that responders exhibited significantly lower baseline interleukin-15 (IL-15) levels (P = 0.01). After two cycles of treatment, a 161.9% reduction in plasma Mucin-16 (MUC-16), also known as Cancer Antigen-125 (CA-125), was identified as an independent factor for prolonged overall survival (HR 7.40, 95%CI 2.22-24.60, P = 0.001), which was validated by conventional serum CA-125 testing. Integrating baseline IL-15 with dynamic changes in MUC-16 and Matrix Metalloproteinase 12 (MMP12), the constructed composite risk model achieved an Area Under the Curve (AUC) of 0.799 for predicting response, and this model was also an independent factor for progression-free survival (HR 3.35, 95% 1.56-7.20, P = 0.002). In summary, baseline IL-15 helps identify patients likely to benefit from immunochemotherapy, while MUC-16 and the integrated model facilitate dynamic monitoring of therapeutic efficacy. These findings provide new insights into non-invasive blood-based patient stratification and treatment optimization.Trial registration ChiCTR2300078000. Registered 27 November 2023-prospectively registered, https://www.chictr.org.cn/hvshowproject.html?id=241839&v=1.0.

Indexed as

ImmunotherapyProgrammed Cell Death 1 ReceptorProteomicsStomach NeoplasmsAgedBiomarkers, TumorCA-125 AntigenFemaleHumansInterleukin-15Liquid BiopsyMaleMiddle AgedProspective StudiesTreatment OutcomeBiomarkers, TumorCA-125 AntigenInterleukin-15PDCD1 protein, humanProgrammed Cell Death 1 ReceptorDynamic monitoringFirst-line immunochemotherapyGastric cancerLiquid proteomic biopsy

Identifiers

PMID42412320
PMCPMC13341996

What Socratic holds

Textmetadata
LicenceCC BY
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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.