Evidence map›Paper›PMID 29755011›Full record

ReviewThe Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology2018

Autophagy and liver cancer.

Yunus Akkoç, Devrim Gözüaçık

Open access · bronzeAbstract readReview
In one paragraph

Review in The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

36 citing papers in PubMed, 48 citations in OpenAlex.

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  9. [Research progress on the mechanism of action of mitophagy in the occurrence and development of liver cancer].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
    Review
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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

2 authors at 1 institution in 1 country.

Yunus AkkoçDepartment of Molecular Biology, Genetics and Bioengineering, Sabancı University School of Engineering and Natural Sciences, İstanbul, Turkey; Center of Excellence for Functional Surfaces and Interfaces for Nano Diagnostics (EFSUN), Sabancı University, İstanbul, Turkey.
Devrim GözüaçıkDepartment of Molecular Biology, Genetics and Bioengineering, Sabancı University School of Engineering and Natural Sciences, İstanbul, Turkey; Center of Excellence for Functional Surfaces and Interfaces for Nano Diagnostics (EFSUN), Sabancı University, İstanbul, Turkey.
Istanbul Bilgi University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy is a key biological phenomenon conserved from yeast to mammals. Under basal conditions, activation of autophagy leads to the protein degradation as well as damaged organelles for maintaining cellular homeostasis. Deregulation of autophagy has been identified as a key mechanism contributing to the pathogenesis and progression of several liver diseases, including hepatocellular carcinoma (HCC), one of the most common and mortal types of cancer. Currently used treatment strategies in patients with HCC result in variable success rates. Therefore, novel early diagnosis and treatment techniques should be developed. Manipulation of autophagy may improve responses of cancer cell to treatments and provide novel targeted therapy options for HCC. In this review, we summarized how our understanding of autophagy-cell death connection may have an impact on HCC therapy.

Indexed as

AutophagyCarcinoma, HepatocellularHepatocytesHumansLiverLiver Neoplasms

Identifiers

PMID29755011
PMCPMC6284658
OpenAlexW2887998952

What OpenQuestion holds

Textmetadata
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.