Evidence map›Paper›PMID 29690860›Full record

ArticleBMC cancer2018

Low expression of c-Myc protein predicts poor outcomes in patients with hepatocellular carcinoma after resection.

Fei Ji, Zhi-Heng Zhang, Yi Zhang, Shun-Li Shen, Qing-Hua Cao, Long-Juan Zhang, Shao-Qiang Li, Bao-Gang Peng, Li-Jian Liang, Yun-Peng Hua

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. The Knockdown of USP34 Inhibits the Progression of Hepatocellular Carcinoma by Accelerating c-Myc Degradation.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 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

10 authors at 1 institution in 1 country.

Fei JiPediatric Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.ORCID 0000-0002-7120-3812
Zhi-Heng ZhangOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Yi ZhangDepartment of Hepatobiliary Surgery, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510630, People's Republic of China.
Shun-Li ShenDepartment of Liver Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Qing-Hua CaoDepartment of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Long-Juan ZhangLaboratory of Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Shao-Qiang LiDepartment of Liver Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Bao-Gang PengDepartment of Liver Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Li-Jian LiangDepartment of Liver Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Yun-Peng HuaDepartment of Liver Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China. hyp0427@163.com.
Sun Yat-sen University · CN

Funding

Guangdong Provincial Science and Technology Planning Project 2014A020212626National Natural Science Foundation of China 81201918
6 · The paper itself

Abstract

backgroundEmbryonic Liver Fodrin (ELF) is an adaptor protein of transforming growth factor (TGF-β) signaling cascade. Disruption of ELF results in mislocalization of Smad3 and Smad4, leading to compromised TGF-β signaling. c-Myc is an important oncogenic transcription factor, and the disruption of TGF-β signaling promotes c-Myc-induced hepatocellular carcinoma (HCC) carcinogenesis. However, the prognostic significance of c-Myc in HCC is less understood

methodsThe expression of c-Myc protein and mRNA were measured by immunohistochemistry (IHC) and qRT- PCR, respectively. IHC was performed to detect TGF-β1 and ELF expression in HCC tissues. Their relationship with clinicopathological factors and overall survival (OS) and disease free survival (DFS) were examined.

resultsThe expression of c-Myc protein and mRNA in HCC tissues were significantly higher in HCC area than those in normal liver tissues. However, the expression were low compared with those adjacent to HCC area. c-Myc protein was independently predictive of DFS and OS, and it was negatively correlated with tumor size (P = 0.031), tumor number (P = 0.038), and recurrence (P = 0.001). Low c-Myc expression was associated with short-term recurrence and poor prognosis. The predictive value of c-Myc combined with TGF-β1 or/and ELF was higher than that of any other single marker. Low c-Myc, high TGF-β1 or/and low ELF expression was associated with the worst DFS and OS.

conclusionsLow expression of c-Myc protein predicts poor outcomes in patients with HCC with hepatectomy. The combination of the expression of c-Myc, TGF-β1, and ELF can be used to accurately predict outcomes of patients with HCC.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularFemaleGene ExpressionHumansImmunohistochemistryKaplan-Meier EstimateLiver NeoplasmsMaleNeoplasm StagingPrognosisProportional Hazards ModelsProtein BindingProto-Oncogene Proteins c-mycReal-Time Polymerase Chain ReactionRecurrenceBiomarkers, TumorProto-Oncogene Proteins c-mycTransforming Growth Factor beta1BiomarkersC-MYCHepatocellular carcinomaOncogenePrognosis

Identifiers

PMID29690860
PMCPMC5926532
OpenAlexW2804299799

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.