Evidence map›Paper›PMID 26964667›Full record

ArticleScientific reports2016

Activation of c-Jun predicts a poor response to sorafenib in hepatocellular carcinoma: Preliminary Clinical Evidence.

Wei Chen, Weikai Xiao, Kunsong Zhang, Xiaoyu Yin, Jiaming Lai, Lijian Liang, Dong Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 37 citations in OpenAlex.

  1. Liver cancer development driven by the AP-1/c-Jun~Fra-2 dimer through c-Myc.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. Article
  3. Article
  4. System XFrontiers in pharmacology · 2022
    Review
  5. Investigation of Anti-Liver Cancer Activity of the Herbal Drug FDY003 Using Network Pharmacology.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Hepatocellular Carcinoma: Etiology and Current and Future Drugs.Journal of clinical and experimental hepatology
    Review
  19. 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

7 authors at 3 institutions in 1 country.

Wei ChenDepartment of Pancreatico-biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, 510080 China.
Weikai XiaoDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong Province, 510060 China.
Kunsong ZhangDepartment of Pancreatico-biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, 510080 China.
Xiaoyu YinDepartment of Pancreatico-biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, 510080 China.
Jiaming LaiDepartment of Pancreatico-biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, 510080 China.
Lijian LiangDepartment of Pancreatico-biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, 510080 China.
Dong ChenDepartment of Pancreatico-biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, 510080 China.
The First Affiliated Hospital, Sun Yat-sen University · CNState Key Laboratory of Oncology in South ChinaSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We determined the mitogen-activated protein kinase (MAPK) gene expression profile of acquired resistance in sorafenib-sensitive hepatocellular carcinoma (HCC) cells and aimed to identify c-Jun as an important molecule mediating the efficacy of sorafenib. Differences in gene expression of the MAPK signaling between untreated and sorafenib-treated HCC cell lines were investigated using real-time polymerase chain reaction array. Western blot and real-time PCR further evaluated the expression of c-Jun. Pathological specimens from 50 patients with advanced HCC were collected to measure p-c-Jun expression. Sorafenib-resistant HCC cells demonstrated greater levels of basal c-Jun mRNA and protein compared with sorafenib-sensitive HCC cells. Sorafenib activated p-c-Jun in a dose- and time-dependent manner in PLC/PRF/5 and MHCC97H cell lines. Decreased expression levels of 6 genes after sorafenib treatment suggested a robust inhibitory impact of sorafenib on MAPK signaling in HCC cells. c-Jun and p-c-Jun expression levels were inversely correlated with the efficacy of sorafenib; a high expression level of p-c-Jun was associated with resistance to sorafenib and poor overall survival in patients with clinical HCC. p-c-Jun may act as a biomarker for predicting responses of sorafenib treatment, thus advocating targeting of JNK/c-Jun signaling as an optimal therapeutic strategy in a subset of HCC.

Indexed as

AdultAgedApoptosisBiomarkers, TumorCarcinoma, HepatocellularDrug Resistance, NeoplasmFemaleGene Expression Regulation, NeoplasticHumansJNK Mitogen-Activated Protein KinasesLiver NeoplasmsMaleMiddle AgedMitogen-Activated Protein Kinase KinasesNiacinamidePhenylurea CompoundsBiomarkers, TumorJNK Mitogen-Activated Protein KinasesMitogen-Activated Protein Kinase KinasesNiacinamidePhenylurea CompoundsRNA, MessengerSorafenib

Identifiers

PMID26964667
PMCPMC4786823
OpenAlexW2295786120

What OpenQuestion holds

Textmetadata
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.