Evidence map›Paper›PMID 33069062›Full record

ArticleEBioMedicine2020

Clinically applicable 53-Gene prognostic assay predicts chemotherapy benefit in gastric cancer: A multicenter study.

Linghua Zhu, Haifeng Wang, Chengfei Jiang, Wenhuan Li, Shuting Zhai, Xiujun Cai, Xianfa Wang, Linghong Liao, Feng Tao, Dexi Jin and 6 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in EBioMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 19 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

16 authors at 8 institutions in 2 countries.

Linghua ZhuDepartment of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Haifeng WangDepartment of Gastrointestinal Surgery, Shaoxing People's Hospital (Shaoxing Hospital of Zhejiang University), Shaoxing, Zhejiang, China.
Chengfei JiangDepartment of Gastroenterology, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China.
Wenhuan LiDepartment of Gastrointestinal Surgery, The First People's Hospital of Wenling, Wenling, Zhejiang, China.
Shuting ZhaiDepartment of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xiujun CaiDepartment of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Xianfa WangDepartment of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Linghong LiaoFujian Key Laboratory of TCM Health State, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
Feng TaoDepartment of Gastrointestinal Surgery, Shaoxing People's Hospital (Shaoxing Hospital of Zhejiang University), Shaoxing, Zhejiang, China.
Dexi JinDepartment of Gastrointestinal Surgery, The First People's Hospital of Wenling, Wenling, Zhejiang, China.
Guofu ChenDepartment of Gastrointestinal Surgery, The First People's Hospital of Wenling, Wenling, Zhejiang, China.
Yankai XiaSchool of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Jian-Hua MaoBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States.
Bin LiNanjing KDRB Biotech Inc., Ltd, Jiangning District, Nanjing, Jiangsu, China. Electronic address: libin1@gmail.com.
Pin WangDepartment of Gastroenterology, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China. Electronic address: pinwang729@126.com.
Bo HangBiological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States. Electronic address: Bo_hang@lbl.gov.
Sir Run Run Shaw Hospital · CNThe First People's Hospital of Wenling · CNLawrence Berkeley National Laboratory · USNanjing Drum Tower Hospital · CNShaoxing People's Hospital · CNFujian University of Traditional Chinese Medicine · CNNanjing Jiangning Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe previously established a 53-gene prognostic signature for overall survival (OS) of gastric cancer patients. This retrospective multi-center study aimed to develop a clinically applicable gene expression detection assay and to investigate the prognostic value of this signature.

methodsA TCGA gastric adenocarcinoma cohort (TCGA-STAD) was used for comparing 53-gene signature with other gene signatures. A high-throughput mRNA hybridization gene expression assay was developed to quantify the expression of 53-genes in formalin-fixed paraffin-embedded tissues of 540 patients enrolled from three hospitals. 180 patents were randomly selected from two hospitals to build a prognostic prediction model based on the 53-gene signature using leave-p-out (one-third out) cross-validation method together with Cox regression and Kaplan-Meier analysis, and the model was assessed on three validation cohorts.

findingsIn the evaluation phase, studies based on TCGA-STAD showed that the 53-gene signature was significantly superior to other three prognostic signatures and was independent of TCGA molecular subtypes and clinical factors. For clinical validation and utility, the prognostic scores were generated using the newly developed assay, which was reliable and sensitive, in 100 sampling training sets and were significantly associated with OS in 100 sampling validation sets. The scores were significantly associated with OS in three independent and combined validation cohorts, and in patients with stages II and III/IV. The multivariate Cox regression demonstrated that the prognostic power of the score was independent of clinical factors, consistent with those findings in the TCGA dataset. Finally, patients with good prognostic scores exhibited significantly a better 5-year OS rate from adjuvant FOLFOX chemotherapy after surgery than from other chemotherapies.

interpretationThe 53-gene prognostic score system is clinically applicable for predicting the OS of patients independent of clinical factors in gastric cancers, which could also be a promising predictive biomarker for FOLFOX regimen.

fundingChinese National Science and Technology, National Natural Science Foundation and Natural Science Foundation of Jiangsu Province.

Indexed as

Genetic TestingAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMaleNeoplasm GradingNeoplasm MetastasisNeoplasm StagingPrognosisProportional Hazards ModelsStomach NeoplasmsBiomarkers, TumorA multigene expression assayChemotherapyFOLFOX regimenGastric cancerGene prognostic signatureOverall survival

Identifiers

PMID33069062
PMCPMC7569189
OpenAlexW3092722670

What OpenQuestion holds

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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.