Evidence map›Paper›PMID 32306000›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2020

[Establishment and gene expression analysis of drug-resistant cell lines in hepatocellular carcinoma induced by sorafenib].

B Ma, Z H Tian, L Qu, Y X Liu, H Zhang, H R Ding

Open access · greenAbstract read
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 97% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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

6 authors at 1 institution in 1 country.

B MaDepartment of Lymphoma, Ministry of Education Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Z H TianDepartment of Laboratory, Ministry of Education Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital and Institute, Beijing 100142, China.
L QuDepartment of Lymphoma, Ministry of Education Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Y X LiuDepartment of Lymphoma, Ministry of Education Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital and Institute, Beijing 100142, China.
H ZhangDepartment of Laboratory, Ministry of Education Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital and Institute, Beijing 100142, China.
H R DingDepartment of Laboratory, Ministry of Education Key Laboratory of Carcinogenesis and Translational Research, Peking University Cancer Hospital and Institute, Beijing 100142, China.
Ministry of Education · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo establish the drug-resistant cell lines of hepatocellular carcinoma (HCC) induced by sorafenib, and to screen out the high expression genes in drug-resistant cell lines of HCC induced by sorafenib, then to explore the genes related to sorafenib resistance in hepatocellular carcinoma.

methodsThe human PLC and Huh7 cell lines were obtained, then the PLC and Huh7 drug-resistant cell lines were induced with sorafenib by using intermittent induction in vitro. CCK8 assay was used to detect the IC50 value of sorafenib for evaluation of drug sensitivity of hepatocellular carcinoma cell lines in PLC and Huh7. All the up regulated genes in PLC and Huh7 drug-resistant cell lines induced by sorafenib were screened out using high-throughput cDNA sequencing (RNA-Seq), Ualcan database was used to analyze the correlations between the up regulated genes in PLC and Huh7 drug-resistant cell lines induced and four clinical biological characteristics of hepatocellular carcinoma, including the gene expressions between normal samples and tumor samples, tumor stage, tumor grade, and patient overall survival, to find the genes that might be involved in the mechanism of sorafenib resistance of hepatocellular carcinoma.

resultsAll the up regulated genes detected by the using high-throughput cDNA sequencing (RNA-Seq) in PLC and Huh7 drug-resistant cell lines were further screened out by following conditions:(1) genes co-expressed in PLC and Huh7 drug-resistant cells induced by sorafenib, (2) the fold change was more than 4 times and the difference was statistically significant (P <0.05), the top 12 up regulated genes in PLC and Huh7 drug-resistant cell lines were found, which were TPSG1, CBX4, CLC, CLEC18C, LGI4, F2RL1, S100A6, HABP2, C15ORF48, ZG16, FOLH1, and EPCAM. Compared with the correlations between the twelve genes and the clinical biological characteristics by Ualcan database, the potentially significant gene CBX4 was screened out.

conclusionThe human PLC and Huh7 drug-resistant cell lines of hepatocellular carcinoma induced by sorafenib were successfully established. CBX4, the gene related to sorafenib resistance in hepatocellular carcinoma, was screened out by the high-throughput cDNA sequencing (RNA-Seq) and further analysis using Ualcan database, which is providing a powerful basis for further research on the mechanism of sorafenib resistance of hepatocellular carcinoma.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsAntineoplastic AgentsCell Line, TumorCell ProliferationDrug Resistance, NeoplasmHumansLigasesPolycomb-Group ProteinsSerine EndopeptidasesSorafenibAntineoplastic AgentsCBX4 protein, humanHABP2 protein, humanLigasesPolycomb-Group ProteinsSerine EndopeptidasesSorafenib

Identifiers

PMID32306000
PMCPMC7433464
OpenAlexW3016733958

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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.