Evidence map›Paper›PMID 31700061›Full record

ArticleNature communications2019

Identification of predictors of drug sensitivity using patient-derived models of esophageal squamous cell carcinoma.

Dan Su, Dadong Zhang, Jiaoyue Jin, Lisha Ying, Miao Han, Kaiyan Chen, Bin Li, Junzhou Wu, Zhenghua Xie, Fanrong Zhang and 11 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.6field-weighted citation impact, top 8% 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

31 citing papers in PubMed, 38 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

21 authors at 5 institutions in 3 countries.

Dan SuInstitute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China. sudan@zjcc.org.cn.
Dadong ZhangResearch and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai, China.
Jiaoyue JinDepartment of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Lisha YingInstitute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Miao HanResearch and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai, China.
Kaiyan ChenDepartment of Chemotherapy, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Bin LiResearch and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai, China.
Junzhou WuInstitute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0000-0001-6575-1743
Zhenghua XieResearch and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai, China.
Fanrong ZhangDepartment of Breast Surgery, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Yihui LinResearch and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai, China.
Guoping ChengDepartment of Pathology, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Jing-Yu LiResearch and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai, China.
Minran HuangInstitute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Jinchao WangResearch and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai, China.
Kailai WangInstitute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0000-0002-8211-847X
Jianjun ZhangDepartment of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Fugen LiResearch and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai, China.
Lei XiongResearch and Development Institute of Precision Medicine, 3D Medicines Inc., Shanghai, China.
Andrew FutrealDepartment of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Weimin MaoInstitute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China. Weimin.mao@zjcc.org.cn.
Chinese Academy of Sciences · CNThe University of Texas MD Anderson Cancer Center · USUniversity of Chinese Academy of Sciences · CNCancer Hospital of Chinese Academy of Medical Sciences · CNZhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies from the Cancer Cell Line Encyclopedia (CCLE) project have adopted commercial pan-cancer cell line models to identify drug sensitivity biomarkers. However, drug sensitivity biomarkers in esophageal squamous cell carcinoma (ESCC) have not been widely explored. Here, eight patient-derived cell lines (PDCs) are successfully established from 123 patients with ESCC. The mutation profiling of PDCs can partially recapture the tumor tissue actionable mutations from 161 patients with ESCC. Based on these mutations and relative pathways in eight PDCs, 46 targeted drugs are selected for screening. Interestingly, some drug and biomarker relationships are established that were not discovered in the CCLE project. For example, CDKN2A or CDKN2B loss is significantly associated with the sensitivity of CDK4/6 inhibitors. Furthermore, both PDC xenografts and patient-derived xenografts confirm CDKN2A/2B loss as a biomarker predictive of CDK4/6 inhibitor sensitivity. Collectively, patient-derived models could predict targeted drug sensitivity associated with actionable mutations in ESCC.

Indexed as

AdultAgedAminopyridinesBiomarkers, TumorCell Line, TumorCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6Cyclin-Dependent Kinase Inhibitor p15Cyclin-Dependent Kinase Inhibitor p16Drug Resistance, NeoplasmEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleHumansMaleMiddle AgedAminopyridinesBiomarkers, TumorCDKN2A protein, humanCDKN2B protein, humanCyclin-Dependent Kinase 4Cyclin-Dependent Kinase 6Cyclin-Dependent Kinase Inhibitor p15Cyclin-Dependent Kinase Inhibitor p16palbociclibPiperazinesProtein Kinase InhibitorsPurinesPyridinesribociclib

Identifiers

PMID31700061
PMCPMC6838071
OpenAlexW2988009907

What OpenQuestion holds

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LicenceCC BY
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.