Evidence map›Paper›PMID 36351537›Full record

ArticleJournal of advanced research2023

Genomic and transcriptomic profiling indicates the prognosis significance of mutational signature for TMB-high subtype in Chinese patients with gastric cancer.

Yanan Cheng, Dechao Bu, Qiaoling Zhang, Rebecca Sun, Stephen Lyle, Gang Zhao, Li Dong, Hui Li, Yi Zhao, Jinpu Yu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of advanced research, 2023. 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
3.8field-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

27 citing papers in PubMed, 37 citations in OpenAlex.

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  8. Frontiers in immunology · 2025
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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 2 institutions in 1 country.

Yanan ChengCancer Molecular Diagnostics Core, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China; National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Dechao BuResearch Center for Ubiquitous Computing Systems, Key Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
Qiaoling ZhangCancer Molecular Diagnostics Core, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China; National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Rebecca SunKEW, Inc., 303 Wyman Street, Waltham, MA, USA.
Stephen LyleKEW, Inc., 303 Wyman Street, Waltham, MA, USA.
Gang ZhaoDepartment of Gastrointestinal Cancer Biology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China.
Li DongCancer Molecular Diagnostics Core, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China; National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Hui LiDepartment of Gastrointestinal Cancer Biology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China.
Yi ZhaoResearch Center for Ubiquitous Computing Systems, Key Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. Electronic address: biozy@ict.ac.cn.
Jinpu YuCancer Molecular Diagnostics Core, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China; National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China. Electronic address: jyu@tmu.edu.cn.
Xishan HaoCancer Molecular Diagnostics Core, Tianjin Medical University Cancer Institute & Hospital, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China; National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China. Electronic address: xishanhao@sina.com.
Tianjin Medical University Cancer Institute and Hospital · CNInstitute of Computing Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGastric cancer (GC)is the third leading cause of cancer-related deaths in China and immunotherapy emerging as a revolutionary treatment for GC recently. Tumor mutational burden (TMB) is a predictive biomarker of immunotherapy in multiple cancers. However, the prognostic significance and subtype of TMB in GC is not fully understood.

objectivesThis study aims to evaluate the prognostic value of TMB in Chinese GC and further classify TMB-high GC (GC

methodsGenomic profiling of 435 cancer-gene panel was performed using 206 GC samples from Chinese people. Actionable genetic alterations were compared across all the samples to generate actionable subtyping. The prognostic value of TMB in Chinese GC was evaluated. Mutational signatures were analyzed on TMB-H subtype to stratify the prognosis of TMB. Transcriptomic analysis was applied to compare the distributed immunocytes among different subtypes.

results88.3% (182/206) of GC samples had at least one mutation, while 45.1% (93/206) had at least one somatic copy number alteration (SCNA). 29.6% (61/206) of GC samples were TMB-H, including 13 MSI-H and 48 MSS tumors. According to distinct genetic alteration profiles of 69 actionable genes, we classified GC samples into eight molecular subtypes, including TMB-H, ERBB2 amplified, ATM mutated, BRCA2 mutated, CDKN2A/B deleted, PI3KCA mutated, KRAS mutated, and less-mutated subtype. TMB-H subtype presented a remarkable immune-activated phenotype as determined by transcriptomic analysis that was further validated in the TCGA GC cohort. GC

conclusionThe Signature 1-high GC

Indexed as

Stomach NeoplasmsTumor BurdenBiomarkers, TumorEast Asian PeopleGenomicsHumansMutationPrognosisTranscriptomeBiomarkers, TumorComprehensive genomic profilingGastric cancerMutational signatureTMBTumor metabolism

Identifiers

PMID36351537
PMCPMC10491970
OpenAlexW4308292556

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.