Evidence map›Paper›PMID 36724786›Full record

ArticleCell reports. Medicine2023

Multiplex immune profiling reveals the role of serum immune proteomics in predicting response to preoperative chemotherapy of gastric cancer.

Zhaoqing Tang, Yuan Gu, Zhongyi Shi, Lingqiang Min, Ziwei Zhang, Peng Zhou, Rongkui Luo, Yan Wang, Yuehong Cui, Yihong Sun and 1 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Cell reports. Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06662110 (A Prospective Cohort Study on Serum Immune Protein Signature for Predicting Neoadjuvant Therapy Efficacy in Advanced Gastric Cancer), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 3% of its field
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.

NCT06662110 recruitingnot on this mapstarted 2024, after this paper: background citation

A Prospective Cohort Study on Serum Immune Protein Signature for Predicting Neoadjuvant Therapy Efficacy in Advanced Gastric Cancer

Typeobservational_patient_registrySponsorShanghai Zhongshan HospitalRan2024 to 2029Enrolled206ConditionsGastric Cancer, Gastroesophageal Junction CancerArmsPSRscore
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Zhaoqing TangDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Gastric Cancer Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of General Surgery, Zhongshan Hospital (Xiamen), Fudan University, Shanghai 200032, China.
Yuan GuDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Zhongyi ShiDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Lingqiang MinDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Ziwei ZhangDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Peng ZhouDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Rongkui LuoDepartment of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Yan WangDepartment of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Yuehong CuiDepartment of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai 200032, China. Electronic address: cui.yuehong@zs-hospital.sh.cn.
Yihong SunDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Gastric Cancer Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China. Electronic address: sun.yihong@zs-hospital.sh.cn.
Xuefei WangDepartment of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Gastric Cancer Center, Zhongshan Hospital, Fudan University, Shanghai 200032, China; Department of General Surgery, Zhongshan Hospital (Xiamen), Fudan University, Shanghai 200032, China. Electronic address: wang.xuefei@zs-hospital.sh.cn.
The First Affiliated Hospital, Sun Yat-sen University · CNFudan University · CNSun Yat-sen University · CNZhongshan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Responses toward preoperative chemotherapy are heterogeneous in patients with gastric adenocarcinoma. Existing studies in the field focus heavily on the tumor microenvironment (TME), whereas little is known about the relationship between systemic immunity and chemotherapy response. In this study, we collect serum samples from patients with gastric adenocarcinoma before, on, and after preoperative chemotherapy and study their immune proteomics using an antibody-based proteomics panel. We also collect surgically resected tumor samples and incorporate multiple methods to assess their TME. We find that both local and systemic immune features are associated with treatment response. Preoperative chemotherapy induces a sophisticated systemic immune response indicated by dynamic serum immune proteomics. A pretreatment serum protein scoring system is established for response prediction. Together, these findings highlight the fundamental but largely underestimated role of systemic immunity in the treatment of gastric cancer, suggesting a patient stratification strategy based on pretreatment serum immune proteomics.

Indexed as

AdenocarcinomaStomach NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsHumansProteomicsTumor MicroenvironmentCCL20chemoresistancechemotherapygastric cancerPD-L1perioperative treatmentsystemic immunitytumor microenvironment

Identifiers

PMID36724786
PMCPMC9975277
OpenAlexW4318677229

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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.