Evidence map›Paper›PMID 38271117›Full record

ArticleThe Journal of clinical investigation2024

Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer.

Zepang Sun, Taojun Zhang, M Usman Ahmad, Zixia Zhou, Liang Qiu, Kangneng Zhou, Wenjun Xiong, Jingjing Xie, Zhicheng Zhang, Chuanli Chen and 9 more

Open access · goldAbstract read
In one paragraph

Article in The Journal of clinical investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
10.1field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 26 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

19 authors at 11 institutions in 3 countries.

Zepang SunDepartment of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Taojun ZhangDepartment of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
M Usman AhmadDepartment of Surgery and.
Zixia ZhouDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA.
Liang QiuDepartment of Radiation Oncology, Stanford University School of Medicine, Stanford, California, USA.
Kangneng ZhouCollege of Computer Science, Nankai University, Tianjin, China.
Wenjun XiongDepartment of Gastrointestinal Surgery, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jingjing XieGraduate Group of Epidemiology, UCD, Davis, California, USA.
Zhicheng ZhangJancsiTech and Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Chuanli ChenDepartment of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Qingyu YuanDepartment of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yan ChenShenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, China.
Wanying FengDepartment of Pathology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Yikai XuDepartment of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Lequan YuThe Department of Statistics and Actuarial Science, The University of Hong Kong, HKSAR, Hong Kong, China.
Wei WangDepartment of Gastric Surgery, and State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jiang YuDepartment of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Guoxin LiDepartment of General Surgery & Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Yuming JiangDepartment of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Nanfang Hospital · CNStanford University · USSouthern Medical University · CNChinese Academy of Sciences · CNGuangzhou University of Chinese Medicine · CNNankai University · CNShenzhen Pingle Orthopedic Hospital · CNSun Yat-sen University · CNUniversity of California, Davis · USUniversity of Hong Kong · HKWake Forest University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUNDThe tumor immune microenvironment can provide prognostic and therapeutic information. We aimed to develop noninvasive imaging biomarkers from computed tomography (CT) for comprehensive evaluation of immune context and investigate their associations with prognosis and immunotherapy response in gastric cancer (GC).METHODSThis study involved 2,600 patients with GC from 9 independent cohorts. We developed and validated 2 CT imaging biomarkers (lymphoid radiomics score [LRS] and myeloid radiomics score [MRS]) for evaluating the IHC-derived lymphoid and myeloid immune context respectively, and integrated them into a combined imaging biomarker [LRS/MRS: low(-) or high(+)] with 4 radiomics immune subtypes: 1 (-/-), 2 (+/-), 3 (-/+), and 4 (+/+). We further evaluated the imaging biomarkers' predictive values on prognosis and immunotherapy response.RESULTSThe developed imaging biomarkers (LRS and MRS) had a high accuracy in predicting lymphoid (AUC range: 0.765-0.773) and myeloid (AUC range: 0.736-0.750) immune context. Further, similar to the IHC-derived immune context, 2 imaging biomarkers (HR range: 0.240-0.761 for LRS; 1.301-4.012 for MRS) and the combined biomarker were independent predictors for disease-free and overall survival in the training and all validation cohorts (all P < 0.05). Additionally, patients with high LRS or low MRS may benefit more from immunotherapy (P < 0.001). Further, a highly heterogeneous outcome on objective response ​rate was observed in 4 imaging subtypes: 1 (-/-) with 27.3%, 2 (+/-) with 53.3%, 3 (-/+) with 10.2%, and 4 (+/+) with 30.0% (P < 0.0001).CONCLUSIONThe noninvasive imaging biomarkers could accurately evaluate the immune context and provide information regarding prognosis and immunotherapy for GC.

Indexed as

Stomach NeoplasmsBiomarkersHumansImmunotherapyPrognosisRadiomicsTomography, X-Ray ComputedTumor MicroenvironmentBiomarkersDiagnostic imagingGastric cancerGastroenterologyImmunologyImmunotherapy

Identifiers

PMID38271117
PMCPMC10940098
OpenAlexW4391231828

What OpenQuestion holds

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Registered trials

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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.