Evidence map›Paper›PMID 36950600›Full record

ArticleHeliyon2023

Immune gene patterns and characterization of the tumor immune microenvironment associated with cancer immunotherapy efficacy.

Lili Lin, Wenda Zhang, Yongjian Chen, Wei Ren, Jianli Zhao, Wenhao Ouyang, Zifan He, Weifeng Su, Herui Yao, Yunfang Yu

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

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
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

10 authors at 4 institutions in 3 countries.

Lili LinGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Breast Tumor Centre, Phase I Clinical Trial Centre, Medical Research Center, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.
Wenda ZhangDepartment of Oncology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Yongjian ChenDepartment of Medical Oncology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Wei RenGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Breast Tumor Centre, Phase I Clinical Trial Centre, Medical Research Center, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.
Jianli ZhaoGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Breast Tumor Centre, Phase I Clinical Trial Centre, Medical Research Center, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.
Wenhao OuyangGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Breast Tumor Centre, Phase I Clinical Trial Centre, Medical Research Center, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.
Zifan HeGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Breast Tumor Centre, Phase I Clinical Trial Centre, Medical Research Center, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.
Weifeng SuDivision of Science and Technology, Beijing Normal University-Hong Kong Baptist University United International College, Hong Kong Baptist University, Zhuhai, China.
Herui YaoGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Breast Tumor Centre, Phase I Clinical Trial Centre, Medical Research Center, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.
Yunfang YuGuangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Department of Medical Oncology, Breast Tumor Centre, Phase I Clinical Trial Centre, Medical Research Center, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNBeijing Normal-Hong Kong Baptist University · CNMacau University of Science and Technology · MOZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although immunotherapy has revolutionized cancer management, most patients do not derive benefits from it. Aiming to explore an appropriate strategy for immunotherapy efficacy prediction, we collected 6251 patients' transcriptome data from multicohort population and analyzed the data using a machine learning algorithm. In this study, we found that patients from three immune gene clusters had different overall survival when treated with immunotherapy (

Indexed as

AUC, Area under the curveCancerCIs, Confidence intervalsCTL, Cytotoxic T-lymphocyte infiltrationGEO, Gene Expression OmnibusGO, Gene OntologyGSEA, Gene set enrichment analysisGSVA, Gene set variation analysisHLAs, Human leukocyte antigensHRs, Hazard ratiosImmunotherapyKEGG, Kyoto Encyclopedia of Genes and GenomesLASSO, Penalized logistic least absolute shrinkage and selector operationlncRNA, Long non-coding RNAMachine learningNSCLC, Non-small cell lung cancerOS, Overall survivalPCA, Principal componentanalysisPD-L1, Programmed death ligand-1PFS, Profession-free survivalRNA-seq, Transcriptome RNA sequencingROC, receiver operating characteristic curvesTCGA, The Cancer Genome AtlasTMB, Tumor mutation burdenTME, Tumor immunemicroenvironmentTumor immune microenvironmentWGCNA, Weighted gene co-expression network analysis

Identifiers

PMID36950600
PMCPMC10025929
OpenAlexW4323975497

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.