Evidence map›Paper›PMID 30945466›Full record

ArticleCancer medicine2019

Novel immune-risk score of gastric cancer: A molecular prediction model combining the value of immune-risk status and chemosensitivity.

Shijie Duan, Pengliang Wang, Funan Liu, Hanwei Huang, Wen An, Siwei Pan, Xin Wang

Open access · goldAbstract readComparative Study
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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.

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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  4. Development of a prognostic metabolic signature in stomach adenocarcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
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  11. A signature of 14 immune-related gene pairs predicts overall survival in gastric cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
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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

7 authors at 1 institution in 1 country.

Shijie DuanDepartment of Surgical Oncology, The First Affiliated Hospital of China Medical University, Shenyang, China.
Pengliang WangDepartment of Surgical Oncology, The First Affiliated Hospital of China Medical University, Shenyang, China.
Funan LiuDepartment of Surgical Oncology, The First Affiliated Hospital of China Medical University, Shenyang, China.
Hanwei HuangDepartment of Surgical Oncology, The First Affiliated Hospital of China Medical University, Shenyang, China.
Wen AnDepartment of Surgical Oncology, The First Affiliated Hospital of China Medical University, Shenyang, China.
Siwei PanDepartment of Surgical Oncology, The First Affiliated Hospital of China Medical University, Shenyang, China.
Xin WangDepartment of Surgical Oncology, The First Affiliated Hospital of China Medical University, Shenyang, China.ORCID 0000-0001-8891-1447
First Hospital of China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is still one of the most common and deadly malignancies in the world. Not all patients could benefit from chemotherapy or chemoradiotherapy due to tumor heterogeneity. Therefore, identifying different subgroups of patients is an important trend for obtaining more effective responses. However, few molecular classifications associated with chemosensitivity are based on immune-risk status. In this study, we obtained six key immune-related genes. Using these genes, we constructed a molecular model related to immune-risk status and calculated an individual immune-risk score. The score showed great efficiency and stability in predicting prognosis and identifying different subgroups where persons could benefit from postoperative adjuvant therapy. The patients could be divided into different risk groups based on the immune-related score. For patients in the low-risk group, both postoperative chemoradiotherapy and chemotherapy could significantly improve prognosis on overall survival (OS) and disease-free survival (DFS) (DFS, P < 0.001 and P = 0.041, respectively; OS, P < 0.001, P = 0.006, respectively) and chemoradiotherapy was significantly superior than simple chemotherapy (DFS, P = 0.031; OS, P = 0.027). For patients with an intermediate-risk score, postoperative chemoradiotherapy showed a statistically significant survival advantage over no anticancer treatment (P = 0.004 and P = 0.002, respectively), while chemotherapy did not. Compared with no adjuvant treatment, neither postoperative chemoradiotherapy nor chemotherapy made significant difference for patients in the high-risk group. Combining the value of immune-risk status and chemosensitivity, the immune-risk score could not only offer us prognostic evaluation and adjuvant treatment guidance, but also improve our understanding about the binding point between chemotherapy or chemoradiotherapy and the immune system, which may be helpful for further expanding the application of immunotherapy.

Indexed as

Gene Regulatory NetworksChemoradiotherapy, AdjuvantDrug TherapyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleModels, MolecularPrognosisStomach NeoplasmsSurvival Analysischemoradiotherapy and chemotherapygastric cancerimmune cell infiltrationimmune-related genesimmune-risk statusmolecular prediction model

Identifiers

PMID30945466
PMCPMC6537086
OpenAlexW2931790623

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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.