Evidence map›Paper›PMID 30268834›Full record

ArticleEBioMedicine2018

Integrative analysis reveals distinct subtypes with therapeutic implications in KRAS-mutant lung adenocarcinoma.

Ke Liu, Jintao Guo, Kuai Liu, Peiyang Fan, Yuanyuan Zeng, Chaoqun Xu, Jiaxin Zhong, Qiyuan Li, Ying Zhou

Abstract read
In one paragraph

Article in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

10 citing papers in PubMed.

  1. Precision immune regulation in KRAS-mutated cancers: the final piece of the puzzle?Journal of experimental & clinical cancer research : CR · 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

9 authors.

Ke LiuDepartment of Translational Medicine, Medical College of Xiamen University, Xiamen 361102, China; Center for Biomedical Big Data Research, Medical College of Xiamen University, Xiamen 361102, China.
Jintao GuoDepartment of Translational Medicine, Medical College of Xiamen University, Xiamen 361102, China; Center for Biomedical Big Data Research, Medical College of Xiamen University, Xiamen 361102, China.
Kuai LiuDepartment of Translational Medicine, Medical College of Xiamen University, Xiamen 361102, China; Center for Biomedical Big Data Research, Medical College of Xiamen University, Xiamen 361102, China.
Peiyang FanDepartment of Translational Medicine, Medical College of Xiamen University, Xiamen 361102, China; Center for Biomedical Big Data Research, Medical College of Xiamen University, Xiamen 361102, China.
Yuanyuan ZengBGI-Shenzhen, Bei Shan Industrial Zone, Yantian District, Shenzhen, Guangdong Province 518083, China.
Chaoqun XuDepartment of Translational Medicine, Medical College of Xiamen University, Xiamen 361102, China; Center for Biomedical Big Data Research, Medical College of Xiamen University, Xiamen 361102, China.
Jiaxin ZhongDepartment of Translational Medicine, Medical College of Xiamen University, Xiamen 361102, China; Center for Biomedical Big Data Research, Medical College of Xiamen University, Xiamen 361102, China.
Qiyuan LiDepartment of Translational Medicine, Medical College of Xiamen University, Xiamen 361102, China; Center for Biomedical Big Data Research, Medical College of Xiamen University, Xiamen 361102, China. Electronic address: qiyuanli@xmu.edu.cn.
Ying ZhouDepartment of Translational Medicine, Medical College of Xiamen University, Xiamen 361102, China; Center for Biomedical Big Data Research, Medical College of Xiamen University, Xiamen 361102, China. Electronic address: yingzhou@xmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKRAS-mutant lung adenocarcinomas (LUADs) are heterogeneous and frequently occur in smokers. The heterogeneity of KRAS-mutant LUAD has been an obstacle for the drug discovery.

methodsWe integrated multiplatform datatypes and identified two corresponding subtypes in the patients and cell lines. We further characterized the features of these two subtypes and performed drug screening to identify subtype-specific drugs. Finally, we used the defining features of the KRAS subtypes for drug sensitivity prediction.

findingsPatient-Subtype 1 (PS1) was characterized by increased smoking-related mutational signature activity, a low tumor-infiltrating lymphocyte (TIL)-associating score and STK11/KEAP1 co-mutations. Patient-Subtype 2 (PS2) was characterized by an increased smoking-related methylation signature activity, a high TIL-associating score and increased KRAS dependency. The cell line subtypes faithfully recapitulated all the patients' features. Drug screening of the two cell line subtypes yielded several potential candidates, such as cytarabine and enzastaurin for Cell-line-Subtype 1 (CS1) and a BTK inhibitor QL-XII-61 for Cell-line-Subtype 2 (CS2). The defining features, such as smoking-related methylation signature, were significantly associated with the sensitivity to several drugs.

interpretationThe heterogeneity of KRAS-mutant LUAD is associated with smoking-related genomic and epigenomic aberration along with other features such as immunogenicity, KRAS dependency and STK11/KEAP1 co-mutations. These features might be used as biomarkers for drug sensitivity prediction. FUND: This research was funded by the Young Scientists Fund of the National Natural Science Foundation of China, the Natural Science Foundation of Fujian Province, China and the Education and Research Foundation for Young Scholars of Education Department of Fujian Province, China.

Indexed as

Biomarkers, TumorMutationAdenocarcinoma of LungAntineoplastic AgentsCell Line, TumorDNA Copy Number VariationsDNA MethylationDrug Resistance, NeoplasmFemaleGene Expression ProfilingHumansLymphocytes, Tumor-InfiltratingMaleMolecular Targeted TherapyPrognosisProto-Oncogene Proteins p21(ras)Antineoplastic AgentsBiomarkers, TumorKRAS protein, humanProto-Oncogene Proteins p21(ras)Drug sensitivity predictionKRAS-mutant lung adenocarcinomaKRAS subtypesSmoking-related methylation signatureSmoking-related mutational signatureTIL-associating score

Identifiers

PMID30268834
PMCPMC6197714

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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.