Evidence map›Paper›PMID 37202737›Full record

ArticleBMC cancer2023

Comprehensive transcriptomic analyses identify KDM genes-related subtypes with different TME infiltrates in gastric cancer.

Haichao Zhang, Haoran Wang, Li Ye, Suyun Bao, Ruijia Zhang, Ji Che, Wenqin Luo, Cheng Yu, Wei Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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

9 authors at 5 institutions in 1 country.

Haichao Zhang *Department of Osteoporosis and Bone Disease, Research Section of Geriatric Metabolic Bone Disease, Huadong Hospital Affiliated to Fudan University, Shanghai Geriatric Institute, Shanghai, 200032, China.
Haoran Wang *Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Li Ye *Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Suyun Bao *Department of Anesthesiology, The Affiliated Suqian Hospital of Xuzhou Medical University, Suqian, 223800, Jiangsu Province, China.
Ruijia ZhangDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Ji CheDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Wenqin LuoDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Cheng YuGastrointestinal Surgery, Changshu No. 2 People's Hospital, No.18, Taishan Road, Changshu, 215500, Jiangsu Province, China.
Wei WangDepartment of Clinical Laboratory, Lianshui People's Hospital of Kangda College Affiliated to Nanjing Medical University, Huai'an, 223400, People's Republic of China. wangwei_shzu@163.com.
Shanghai Medical College of Fudan University · CNFudan University · CNChangshu No.1 People's Hospital · CNNanjing Medical University · CNXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Histone lysine demethylases (KDMs) have been reported in various malignances, which affect transcriptional regulation of tumor suppressor or oncogenes. However, the relationship between KDMs and formation of tumor microenvironment (TME) in gastric cancer (GC) remain unclear and need to be comprehensively analyzed.In the present study, 24 KDMs were obtained and consensus molecular subtyping was performed using the "NMF" method to stratify TCGA-STAD into three clusters. The ssGSEA and CIBERSORT algorithms were employed to assess the relative infiltration levels of various cell types in the TME. The KDM_score was devised to predict patient survival outcomes and responses to both immunotherapy and chemotherapy.Three KDM genes-related molecular subtypes were Figured out in GC with distinctive clinicopathological and prognostic features. Based on the robust KDM genes-related risk_score and nomogram, established in our work, GC patients' clinical outcome can be well predicted. Furthermore, low KDM genes-related risk_score exhibited the more effective response to immunotherapy and chemotherapy.This study characterized three KDM genes-related TME pattern with unique immune infiltration and prognosis by comprehensively analyses of transcriptomic profiling. Risk_score was also built to help clinicians decide personalized anticancer treatment for GC patients, including in prediction of immunotherapy and chemotherapy response for patients.

Indexed as

Stomach NeoplasmsHumansImmunotherapyOncogenesPrognosisTranscriptomeTumor MicroenvironmentChemotherapyGastric cancerHistone lysine demethylasesImmune infiltrationImmunotherapyTumor microenvironment

Identifiers

PMID37202737
PMCPMC10197475
OpenAlexW4377013079

What OpenQuestion holds

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LicenceCC BY
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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.